**Ruminant meat consumption:** Analyses that have focused inappropriately on human-edible feeds only and have not fully factored in land-use consequences have sometimes masked the enormous role that ruminant meat consumption plays in agricultural land demand. A major effort to shift diets away from high levels of ruminant meat consumption is warranted by several factors. The environmental impacts of ruminant meat production are high, the number of people who consume large quantities of ruminant meats is relatively small, ruminant meats provide only 3 percent of calories and 12 percent of dietary protein even in the United States, and there is a historical precedent for shifting away from beef consumption in the United States and Europe.

Productivity gains must be explicitly linked to
protection of carbon-rich ecosystems

- **Link "produce" and "protect"**: Productivity gains by themselves cannot stop emissions and ecosystem degradation caused by shifts in the locations of agricultural land. Productivity gains will only solve the land-use challenge if countries simultaneously enforce protection of forests and savannas and—when some agricultural expansion is inevitable—use detailed, spatial plans to locate expansion in the areas with the lowest environmental opportunity costs.

- **Policy instruments:** Governments and private parties should explicitly link efforts to boost yields with ecosystem protection through financing, lending conditions, supply chain commitments, and public policies.

- **Road building:** New roads must be located in ways that minimize the incentives to convert natural areas to agriculture. The forest frontier should be closed to agriculture.

Reforestation of some lands, and restoration of peatlands, should proceed immediately, but larger-scale reforestation depends on technological innovation and changes in consumption patterns

- **Reforestation:** Important but limited opportunities exist today to reforest unproductive or abandoned agricultural lands with little improvement potential. However, the scale of reforestation necessary to fully achieve climate goals requires that more land be liberated from agriculture. Freeing up hundreds of millions of hectares of land can only be achieved through highly successful implementation of the measures proposed in our demand-reducing and productivity-boosting menu items (Courses 1 and 2).

- **Natural forests:** Because agricultural land tends to shift locations, programs that reforest abandoned land only with plantation forests will lead to steady declines in biodiversity and carbon stocks. More reforestation programs therefore need to focus on diverse, native species.

- **Peatlands:** Restoration of drained peatlands is a low-hanging fruit among climate mitigation options. Drained peatlands occupy perhaps 0.5 percent of total agricultural land but produce 2 percent of all human-generated GHG emissions, not merely those from agriculture.

Strategies should support rural livelihoods by
helping farmers sell to markets, even as more
farmers transition to urban jobs, but should not
promote large land acquisitions.

- **Pushing large farms?** Pushing the replacement of small farms, particularly by supporting large acquisitions of communal land or land now farmed by small farmers, is not consistent with poverty reduction or environmental goals and is rarely helpful for productivity gains.
## Focusing assistance for small farms:

Even so, subsistence agriculture offers poor prospects over the long term, and small farms in many parts of the world are dividing and becoming too small to allow households to avoid poverty without off-farm income. Policy should therefore encourage farming for markets, allow farms to consolidate "organically" through purchases and leases of land, create social welfare systems that reduce the risk inherent in farming for markets or specializing in cash crops, and otherwise support the inevitable shift toward off-farm incomes.

## Appropriately formalizing property rights:

Formalizing property rights would probably be valuable in many parts of the world, and new geographic information systems make the effort less technically difficult. But the process can lead to greater inequity when controlled by powerful interests. Formalizing rights can even codify inequities such as limitations on property rights for women. Formalization should therefore proceed in ways that respect the variety of traditional uses, carefully safeguard equity, and modify traditional property approaches when necessary to rectify historic inequities.

Regulation and technological innovation will be essential to achieve the most ambitious levels of our menu items.

* **Regulation:** It is hard to reduce emissions and related environmental harms if efforts to reduce them are completely voluntary. Regulations must be crafted to spur innovation while allowing flexibility to develop cost-effective solutions. Regulations should apply mostly to manufacturers of agricultural inputs and to managers of concentrated livestock facilities.

* **Research and innovation:** Several types of innovations are necessary to close the food, land, and GHG emissions gaps. Many already exist but, despite their promise, receive minimal support today. Their further development requires large increases in public funding, which need to come from a variety of public agencies, not just traditional agricultural research agencies.

* **The “D” in R&D:** The actual deployment of low-emissions and productivity-enhancing technologies often requires the development of detailed plans, with regular monitoring and feedback. Today, most aspects of technological deployment receive only a fraction of the attention that is needed. Just as engineering costs are built into construction projects, development plans should be incorporated into virtually all agricultural development funding.

To summarize our conclusions, we believe that the challenge of sustainably feeding nearly 10 billion people by 2050 is greater than commonly appreciated.

Despite the many obstacles to be overcome, we believe that a sustainable food future is achievable. Our menu proposed in this report can create a world with sufficient, nutritious food for everyone. It also offers the chance to generate the broader social, environmental, and economic benefits that are the foundation of sustainable development. But such a future will only be achieved if governments, the private sector, and civil society act upon the entire menu quickly and with conviction.

## PHOTO CREDITS
## Overview of the Model

The GlobAgri-WRR model is a global agriculture and land-use accounting model. It estimates changes in agricultural production, greenhouse gas (GHG) emissions, and land-use demands over time, which result both from changes in demand for agricultural products and changes in production techniques, yields, and systems. Changes in demand may result from changes in population, diets, nonfood uses of crops such as biofuels, and levels of food loss and waste. Changes in production may result from changes in crop yields, livestock efficiencies or a broad range of changes in agricultural production methods. GlobAgri-WRR's primary use is to estimate levels of land-use demand and GHG emissions at various points in the future, particularly 2050, and how various changes in demand or production methods might reduce those land-use requirements and emissions.

As an accounting model, the model estimates ultimate land-use requirements and emissions given a wide variety of parameters that are varied exogenously by the user or programmed into the model. For example, diets, populations, crop yields, nitrogen use efficiencies, and the intensity of livestock systems can all be varied, but the user must set exogenously to run the model for any particular scenario. The model is designed to answer questions such as what the changes will be in land-use requirements and total emissions, both from production methods and land use, if diets, populations, crop yields, and production systems in each country in 2050 follow certain estimates. It is therefore a means of estimating what set of demands and production systems would achieve environmental goals. In the course of doing so, the model also estimates many other parameters, such as nitrogen lost to the environment and changes in terrestrial carbon.

The initial drivers of the model are diets, population, and demand for nonfood agricultural products. The model is calibrated to match statistics from the Food and Agriculture Organization of the United Nations (FAO) for the reference year of 2010 using an average of 2009–11 to avoid overreliance on the results of a single year. These statistics include diets at the country level (set forth in FAO food balance sheets),¹ production, harvested area, cropland, and pasture. Food loss and waste rates are based primarily on a 2011 FAO study,² which GlobAgri-WRR adjusts to reflect estimates of processing and transformation losses in FAO food balance sheet data and thereby avoid any double-counting between the 2011 FAO study and the FAO food balance sheets.

The reference year inputs are disaggregated at the country level, including not just demands but the various coefficients that translate demand for agricultural products into production, inputs, and land use, such as levels of waste, calorie balances, and livestock production systems. When the model is “run,” which involves solving for trade and some other interactions among countries, these levels are aggregated

to a regional level both to avoid excess computation requirements and to smooth out possible data errors at the country level. When coefficients for parameters are missing at the country level, regional estimates are assigned to each country within the region.

Overall, the model can estimate how changes in population, diets, other crop demands, rates of losses and wastes, and/or production techniques within any one country will change production, emissions, and land-use demands regionally and globally. Table A-1 shows how the world's countries and territories are grouped into 11 regions in GlobAgri-WRR: Asia (except China and India), Brazil, China, European Union, Former Soviet Union, India, Latin America (except Brazil), Middle East and North Africa, Organisation for Economic Co-operation and Development (OECD, other countries), sub-Saharan Africa, and the United States and Canada. Because the regional disaggregation is fully flexible, it is also possible to use any individual country as a region, and in the standard operation of the model, Brazil, India, and China are both countries and regions.

At the country level, the model works with the 117 agricultural products that are a part of FAOSTAT commodity balance levels. For specific purposes, in particular trade and nitrogen balances, some products may be further disaggregated into finer agricultural products, which FAO calls supply and utilization account (SUA) commodities. For example, pulses are divided into separate types of beans, and the category of vegetables is divided into separate vegetable products. This further disaggregation is used to analyze trade because FAO reports trade in these products at more detailed levels, and to determine nitrogen contents of crops in order to estimate nitrogen surpluses. By contrast, some derived products are merged with the product they are derived from using energy equivalent quantities and after accounting for processing losses. For example, demand for a certain quantity of beer results in demand for barley with equivalent energy content after accounting for transformation losses.

Although these country-level products are used to calculate land-use demands, GHG emissions, inputs, and other factors, all interactions among countries occur at the regional level both to reduce processing time and to smooth out errors in data that may occur at the country level for some products. In addition, to limit processing time, the more detailed agricultural products are aggregated to 33 product aggregates at this regional level. Some of these aggregates remain as unique products, as is the case for wheat, maize, rice, soybeans, soybean oil, soybean cakes, beef, dairy, and eggs. Feed products not in commodity balances are also included at both the country and regional levels, most prominently grass. For the most part, country-level and commodity-balances parameters can be individually varied, allowing the model to compute model inputs using whatever detail is available at the country and detailed products level.
<table><caption>Table A-1 | Countries, territories, and regions in the GlobAgri-WRR model</caption><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Afghanistan</td><td>Asia (except China and India)</td></tr><tr><td>Albania</td><td>OECD, other countries</td></tr><tr><td>Algeria</td><td>Middle East and North Africa</td></tr><tr><td>American Samoa</td><td>Asia (except China and India)</td></tr><tr><td>Andorra</td><td>OECD, other countries</td></tr><tr><td>Angola</td><td>Sub-Saharan Africa</td></tr><tr><td>Anguilla</td><td>Latin America (except Brazil)</td></tr><tr><td>Antarctica</td><td>Not classified</td></tr><tr><td>Antigua and Barbuda</td><td>Latin America (except Brazil)</td></tr><tr><td>Argentina</td><td>Latin America (except Brazil)</td></tr><tr><td>Armenia</td><td>Former Soviet Union</td></tr><tr><td>Aruba</td><td>Latin America (except Brazil)</td></tr><tr><td>Australia</td><td>OECD, other countries</td></tr><tr><td>Austria</td><td>European Union</td></tr><tr><td>Azerbaijan</td><td>Former Soviet Union</td></tr><tr><td>Bahamas</td><td>Latin America (except Brazil)</td></tr><tr><td>Bahrain</td><td>Middle East and North Africa</td></tr><tr><td>Bangladesh</td><td>Asia (except China and India)</td></tr><tr><td>Barbados</td><td>Latin America (except Brazil)</td></tr><tr><td>Belarus</td><td>Former Soviet Union</td></tr><tr><td>Belgium</td><td>European Union</td></tr><tr><td>Belize</td><td>Latin America (except Brazil)</td></tr><tr><td>Benin</td><td>Sub-Saharan Africa</td></tr><tr><td>Bermuda</td><td>OECD, other countries</td></tr><tr><td>Bhutan</td><td>Asia (except China and India)</td></tr><tr><td>Bolivia (Plurinational State of)</td><td>Latin America (except Brazil)</td></tr><tr><td>Bosnia and Herzegovina</td><td>OECD, other countries</td></tr><tr><td>Botswana</td><td>Sub-Saharan Africa</td></tr><tr><td>Brazil</td><td>Brazil</td></tr><tr><td>British Indian Ocean Territory</td><td>Not classified</td></tr><tr><td>British Virgin Islands</td><td>Latin America (except Brazil)</td></tr><tr><td>Brunei Darussalam</td><td>Middle East and North Africa</td></tr><tr><td>Bulgaria</td><td>European Union</td></tr><tr><td>Burkina Faso</td><td>Sub-Saharan Africa</td></tr><tr><td>Burundi</td><td>Sub-Saharan Africa</td></tr><tr><td>Cambodia</td><td>Asia (except China and India)</td></tr><tr><td>Cameroon</td><td>Sub-Saharan Africa</td></tr><tr><td>Canada</td><td>United States and Canada</td></tr><tr><td>Cape Verde</td><td>Sub-Saharan Africa</td></tr><tr><td>Cayman Islands</td><td>Latin America (except Brazil)</td></tr><tr><td>Central African Republic</td><td>Sub-Saharan Africa</td></tr><tr><td>Chad</td><td>Sub-Saharan Africa</td></tr></tbody></table>

<table><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Channel Islands</td><td>European Union</td></tr><tr><td>Chile</td><td>Latin America (except Brazil)</td></tr><tr><td>China</td><td>China</td></tr><tr><td>Christmas Island</td><td>Not classified</td></tr><tr><td>Cocos (Keeling) Islands</td><td>Not classified</td></tr><tr><td>Colombia</td><td>Latin America (except Brazil)</td></tr><tr><td>Comoros</td><td>Sub-Saharan Africa</td></tr><tr><td>Congo</td><td>Sub-Saharan Africa</td></tr><tr><td>Cook Islands</td><td>Asia (except China and India)</td></tr><tr><td>Costa Rica</td><td>Latin America (except Brazil)</td></tr><tr><td>Côte d'Ivoire</td><td>Sub-Saharan Africa</td></tr><tr><td>Croatia</td><td>OECD, other countries</td></tr><tr><td>Cuba</td><td>Latin America (except Brazil)</td></tr><tr><td>Cyprus</td><td>European Union</td></tr><tr><td>Czech Republic</td><td>European Union</td></tr><tr><td>Democratic People's Republic of Korea</td><td>Asia (except China and India)</td></tr><tr><td>Democratic Republic of the Congo</td><td>Sub-Saharan Africa</td></tr><tr><td>Denmark</td><td>European Union</td></tr><tr><td>Djibouti</td><td>Sub-Saharan Africa</td></tr><tr><td>Dominica</td><td>Latin America (except Brazil)</td></tr><tr><td>Dominican Republic</td><td>Latin America (except Brazil)</td></tr><tr><td>Ecuador</td><td>Latin America (except Brazil)</td></tr><tr><td>Egypt</td><td>Middle East and North Africa</td></tr><tr><td>El Salvador</td><td>Latin America (except Brazil)</td></tr><tr><td>Equatorial Guinea</td><td>Sub-Saharan Africa</td></tr><tr><td>Eritrea</td><td>Sub-Saharan Africa</td></tr><tr><td>Estonia</td><td>European Union</td></tr><tr><td>Ethiopia</td><td>Sub-Saharan Africa</td></tr><tr><td>Falkland Islands (Malvinas)</td><td>Latin America (except Brazil)</td></tr><tr><td>Faroe Islands</td><td>OECD, other countries</td></tr><tr><td>Fiji</td><td>Asia (except China and India)</td></tr><tr><td>Finland</td><td>European Union</td></tr><tr><td>France</td><td>European Union</td></tr><tr><td>French Guiana</td><td>Latin America (except Brazil)</td></tr><tr><td>French Polynesia</td><td>Asia (except China and India)</td></tr><tr><td>French Southern and Antarctic Territories</td><td>Not classified</td></tr><tr><td>Gabon</td><td>Sub-Saharan Africa</td></tr><tr><td>Gambia</td><td>Sub-Saharan Africa</td></tr><tr><td>Georgia</td><td>Former Soviet Union</td></tr><tr><td>Germany</td><td>European Union</td></tr></tbody></table>
<table><caption>Table A-1 | Countries, territories, and regions in the GlobAgri-WRR model (continued)</caption><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Ghana</td><td>Sub-Saharan Africa</td></tr><tr><td>Gibraltar</td><td>OECD, other countries</td></tr><tr><td>Greece</td><td>European Union</td></tr><tr><td>Greenland</td><td>OECD, other countries</td></tr><tr><td>Grenada</td><td>Latin America (except Brazil)</td></tr><tr><td>Guadeloupe</td><td>Latin America (except Brazil)</td></tr><tr><td>Guam</td><td>Asia (except China and India)</td></tr><tr><td>Guatemala</td><td>Latin America (except Brazil)</td></tr><tr><td>Guinea</td><td>Sub-Saharan Africa</td></tr><tr><td>Guinea-Bissau</td><td>Sub-Saharan Africa</td></tr><tr><td>Guyana</td><td>Latin America (except Brazil)</td></tr><tr><td>Haiti</td><td>Latin America (except Brazil)</td></tr><tr><td>Holy See</td><td>OECD, other countries</td></tr><tr><td>Honduras</td><td>Latin America (except Brazil)</td></tr><tr><td>Hungary</td><td>European Union</td></tr><tr><td>Iceland</td><td>OECD, other countries</td></tr><tr><td>India</td><td>India</td></tr><tr><td>Indonesia</td><td>Asia (except China and India)</td></tr><tr><td>Iran (Islamic Republic of)</td><td>Middle East and North Africa</td></tr><tr><td>Iraq</td><td>Middle East and North Africa</td></tr><tr><td>Ireland</td><td>European Union</td></tr><tr><td>Isle of Man</td><td>European Union</td></tr><tr><td>Israel</td><td>Middle East and North Africa</td></tr><tr><td>Italy</td><td>European Union</td></tr><tr><td>Jamaica</td><td>Latin America (except Brazil)</td></tr><tr><td>Japan</td><td>OECD, other countries</td></tr><tr><td>Jordan</td><td>Middle East and North Africa</td></tr><tr><td>Kazakhstan</td><td>Former Soviet Union</td></tr><tr><td>Kenya</td><td>Sub-Saharan Africa</td></tr><tr><td>Kiribati</td><td>Asia (except China and India)</td></tr><tr><td>Kuwait</td><td>Middle East and North Africa</td></tr><tr><td>Kyrgyzstan</td><td>Former Soviet Union</td></tr><tr><td>Lao People's Democratic Republic</td><td>Asia (except China and India)</td></tr><tr><td>Latvia</td><td>European Union</td></tr><tr><td>Lebanon</td><td>Middle East and North Africa</td></tr><tr><td>Lesotho</td><td>Sub-Saharan Africa</td></tr><tr><td>Liberia</td><td>Sub-Saharan Africa</td></tr><tr><td>Libya</td><td>Middle East and North Africa</td></tr><tr><td>Liechtenstein</td><td>OECD, other countries</td></tr><tr><td>Lithuania</td><td>European Union</td></tr><tr><td>Luxembourg</td><td>European Union</td></tr></tbody></table>

<table><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Madagascar</td><td>Sub-Saharan Africa</td></tr><tr><td>Malawi</td><td>Sub-Saharan Africa</td></tr><tr><td>Malaysia</td><td>Asia (except China and India)</td></tr><tr><td>Maldives</td><td>Asia (except China and India)</td></tr><tr><td>Mali</td><td>Sub-Saharan Africa</td></tr><tr><td>Malta</td><td>European Union</td></tr><tr><td>Marshall Islands</td><td>Asia (except China and India)</td></tr><tr><td>Martinique</td><td>Latin America (except Brazil)</td></tr><tr><td>Mauritania</td><td>Sub-Saharan Africa</td></tr><tr><td>Mauritius</td><td>Sub-Saharan Africa</td></tr><tr><td>Mayotte</td><td>Sub-Saharan Africa</td></tr><tr><td>Mexico</td><td>Latin America (except Brazil)</td></tr><tr><td>Micronesia (Federated States of)</td><td>Asia (except China and India)</td></tr><tr><td>Monaco</td><td>OECD, other countries</td></tr><tr><td>Mongolia</td><td>Asia (except China and India)</td></tr><tr><td>Montenegro</td><td>OECD, other countries</td></tr><tr><td>Montserrat</td><td>Latin America (except Brazil)</td></tr><tr><td>Morocco</td><td>Middle East and North Africa</td></tr><tr><td>Mozambique</td><td>Sub-Saharan Africa</td></tr><tr><td>Myanmar</td><td>Asia (except China and India)</td></tr><tr><td>Namibia</td><td>Sub-Saharan Africa</td></tr><tr><td>Nauru</td><td>Asia (except China and India)</td></tr><tr><td>Nepal</td><td>Asia (except China and India)</td></tr><tr><td>Netherlands</td><td>European Union</td></tr><tr><td>Netherlands Antilles</td><td>Latin America (except Brazil)</td></tr><tr><td>New Caledonia</td><td>Asia (except China and India)</td></tr><tr><td>New Zealand</td><td>OECD, other countries</td></tr><tr><td>Nicaragua</td><td>Latin America (except Brazil)</td></tr><tr><td>Niger</td><td>Sub-Saharan Africa</td></tr><tr><td>Nigeria</td><td>Sub-Saharan Africa</td></tr><tr><td>Niue</td><td>Asia (except China and India)</td></tr><tr><td>Norfolk Island</td><td>Asia (except China and India)</td></tr><tr><td>Northern Mariana Islands</td><td>Asia (except China and India)</td></tr><tr><td>Norway</td><td>OECD, other countries</td></tr><tr><td>Occupied Palestinian Territory</td><td>Middle East and North Africa</td></tr><tr><td>Oman</td><td>Middle East and North Africa</td></tr><tr><td>Pacific Islands Trust Territory</td><td>Not classified</td></tr><tr><td>Pakistan</td><td>Asia (except China and India)</td></tr><tr><td>Palau</td><td>Asia (except China and India)</td></tr><tr><td>Panama</td><td>Latin America (except Brazil)</td></tr><tr><td>Papua New Guinea</td><td>Asia (except China and India)</td></tr><tr><td>Paraguay</td><td>Latin America (except Brazil)</td></tr></tbody></table>
<table><caption>Table A-1 | Countries, territories, and regions in the GlobAgri-WRR model (continued)</caption><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Peru</td><td>Latin America (except Brazil)</td></tr><tr><td>Philippines</td><td>Asia (except China and India)</td></tr><tr><td>Pitcairn Islands</td><td>Not classified</td></tr><tr><td>Poland</td><td>European Union</td></tr><tr><td>Portugal</td><td>European Union</td></tr><tr><td>Puerto Rico</td><td>Latin America (except Brazil)</td></tr><tr><td>Qatar</td><td>Middle East and North Africa</td></tr><tr><td>Republic of Korea</td><td>Asia (except China and India)</td></tr><tr><td>Republic of Moldova</td><td>Former Soviet Union</td></tr><tr><td>Republic of North Macedonia</td><td>OECD, other countries</td></tr><tr><td>Réunion</td><td>Sub-Saharan Africa</td></tr><tr><td>Romania</td><td>European Union</td></tr><tr><td>Russian Federation</td><td>Former Soviet Union</td></tr><tr><td>Rwanda</td><td>Sub-Saharan Africa</td></tr><tr><td>Saint Helena</td><td>Sub-Saharan Africa</td></tr><tr><td>Saint Kitts and Nevis</td><td>Latin America (except Brazil)</td></tr><tr><td>Saint Lucia</td><td>Latin America (except Brazil)</td></tr><tr><td>Saint Pierre and Miquelon</td><td>OECD, other countries</td></tr><tr><td>Saint Vincent and the Grenadines</td><td>Latin America (except Brazil)</td></tr><tr><td>Samoa</td><td>Asia (except China and India)</td></tr><tr><td>San Marino</td><td>OECD, other countries</td></tr><tr><td>São Tomé and Príncipe</td><td>Sub-Saharan Africa</td></tr><tr><td>Saudi Arabia</td><td>Middle East and North Africa</td></tr><tr><td>Senegal</td><td>Sub-Saharan Africa</td></tr><tr><td>Serbia</td><td>OECD, other countries</td></tr><tr><td>Seychelles</td><td>Sub-Saharan Africa</td></tr><tr><td>Sierra Leone</td><td>Sub-Saharan Africa</td></tr><tr><td>Singapore</td><td>Asia (except China and India)</td></tr><tr><td>Slovakia</td><td>European Union</td></tr><tr><td>Slovenia</td><td>European Union</td></tr><tr><td>Solomon Islands</td><td>Asia (except China and India)</td></tr><tr><td>Somalia</td><td>Sub-Saharan Africa</td></tr><tr><td>South Africa</td><td>Sub-Saharan Africa</td></tr><tr><td>Spain</td><td>European Union</td></tr><tr><td>Sri Lanka</td><td>Asia (except China and India)</td></tr><tr><td>Sudan</td><td>Sub-Saharan Africa</td></tr></tbody></table>

<table><thead><tr><td>COUNTRY OR TERRITORY</td><td>GLOBAGRI-WRR REGION</td></tr></thead><tbody><tr><td>Suriname</td><td>Latin America (except Brazil)</td></tr><tr><td>Svalbard and Jan Mayen Islands</td><td>OECD, other countries</td></tr><tr><td>Swaziland</td><td>Sub-Saharan Africa</td></tr><tr><td>Sweden</td><td>European Union</td></tr><tr><td>Switzerland</td><td>OECD, other countries</td></tr><tr><td>Syrian Arab Republic</td><td>Middle East and North Africa</td></tr><tr><td>Tajikistan</td><td>Former Soviet Union</td></tr><tr><td>Thailand</td><td>Asia (except China and India)</td></tr><tr><td>Timor-Leste</td><td>Asia (except China and India)</td></tr><tr><td>Togo</td><td>Sub-Saharan Africa</td></tr><tr><td>Tokelau</td><td>Asia (except China and India)</td></tr><tr><td>Tonga</td><td>Asia (except China and India)</td></tr><tr><td>Trinidad and Tobago</td><td>Latin America (except Brazil)</td></tr><tr><td>Tunisia</td><td>Middle East and North Africa</td></tr><tr><td>Turkey</td><td>Middle East and North Africa</td></tr><tr><td>Turkmenistan</td><td>Former Soviet Union</td></tr><tr><td>Turks and Caicos Islands</td><td>Latin America (except Brazil)</td></tr><tr><td>Tuvalu</td><td>Asia (except China and India)</td></tr><tr><td>Uganda</td><td>Sub-Saharan Africa</td></tr><tr><td>Ukraine</td><td>Former Soviet Union</td></tr><tr><td>United Arab Emirates</td><td>Middle East and North Africa</td></tr><tr><td>United Kingdom</td><td>European Union</td></tr><tr><td>United Republic of Tanzania</td><td>Sub-Saharan Africa</td></tr><tr><td>United States of America</td><td>United States and Canada</td></tr><tr><td>United States Virgin Islands</td><td>Latin America (except Brazil)</td></tr><tr><td>Uruguay</td><td>Latin America (except Brazil)</td></tr><tr><td>Uzbekistan</td><td>Former Soviet Union</td></tr><tr><td>Vanuatu</td><td>Asia (except China and India)</td></tr><tr><td>Venezuela (Bolivarian Republic of)</td><td>Latin America (except Brazil)</td></tr><tr><td>Viet Nam</td><td>Asia (except China and India)</td></tr><tr><td>Wake Island</td><td>Not classified</td></tr><tr><td>Wallis and Futuna Islands</td><td>Asia (except China and India)</td></tr><tr><td>Western Sahara</td><td>Middle East and North Africa</td></tr><tr><td>Yemen</td><td>Middle East and North Africa</td></tr><tr><td>Zambia</td><td>Sub-Saharan Africa</td></tr><tr><td>Zimbabwe</td><td>Sub-Saharan Africa</td></tr></tbody></table>

Note: The European Union comprised 27 member states in 2010, the base year used in the model.
Although the core of the model is an elaborate accounting system, the model incorporates results from a variety of submodels that use a range of biophysical processes to estimate emissions or the relation- ship of inputs to production. These models include the following, which are discussed in further detail below:

■ **Land use:** A model to estimate the source of new agricultural lands by region and resulting GHG emissions from land-use change developed primarily by researchers at the European Commission's Joint Research Centre.

■ **Livestock:** A model estimating representative production systems, feeds, and emissions at the regional level for beef, milk, sheep and goats, pork, chicken, and eggs developed primarily by researchers at the Commonwealth Scientific and Industrial Research Organisation and the International Institute for Applied Systems Analysis.

■ **Aquaculture:** A model to separate aquaculture production by rep- resentative production systems within major producing countries or regions, and to estimate land-use demands, feed requirements, and emissions developed by WorldFish.

■ **Rice:** A model to estimate GHG emissions from rice production developed primarily by a researcher at the Institute for Soil Science in Nanjing, China.

■ **Nitrogen:** A model to estimate nitrogen demand and emissions by different crop types and country developed primarily by researchers at Princeton University.

■ **Energy use:** Estimates of emissions from agricultural energy use developed by the U.S. Environmental Protection Agency and by FAO.

## Categories of Agricultural Products

The model manages three types of agricultural products:

1. Primary vegetal products, such as wheat, soybeans, or grasses, are grown on land. Based on levels of demand, location or production, and yield, the demands for these products translate into demand for cropland and/or grazing land (and, based on production tech- niques, into GHG emissions). Demand for these products may be direct, or it may result from demand for transformed products, such as meat. At the regional level, the model aggregates the primary vegetable products into 15 categories of primary vegetal products based on commodity-balances products and three grass products.

2. Transformed products provide a second type of product demand, including vegetable oil, oilseed cakes (sometimes called meals) used for livestock, biofuels, alcohol, and various meats, milk, and eggs. Some of these products are in direct demand, such as the demand for meat and milk or vegetable oil. The demand for some others, such as oilseed cakes, which are used as an animal feed, derives from demand for other products, such as meats and milk, and may depend not only on their levels of demand but also on production systems specified in the model. For example, the amount of soybean cake required will depend not only on the quantity of various livestock products but also on the production systems specified for those products. There are 17 such products at the regional level.

3. The third type of agricultural product does not require land, directly or indirectly. It corresponds to aquatic plant, honey, game, and other such products but also to some livestock by-products, such as offal. These products play a small role, and when diets or livestock production systems call for such products, the model generates them without emissions or land-use costs.

The report refers to "animal-based foods" (and subcategories of such foods) extensively throughout Chapter 6—which are a combination of the second and third types of agricultural products noted above. See Figure A-1 for additional clarification about the different subcategories of animal-based foods modeled in this report.

In each case, the model also uses FAO data to relate calories available as food in each region and country to food quantities produced based on commodity-balance food products information included in food bal- ance sheets. These coefficients vary by country because FAO estimates of the calorie content of final food products differ from country to coun- try (mostly modestly but sometimes to a large degree) and because final products differ in quality and type (for example, the type of beef consumed). The calories-to-quantity coefficients must reflect these different calorie contents. For products that are the result of processing (e.g., alcohol), the relationship of production to consumption must also reflect losses during processing. We describe in more detail how those coefficients are calculated for processed products below.

Overall, one feature of this model that differs from most or all previous global agricultural models is the higher degree of disaggregation into both different food products and their transformed products. This makes it possible to analyze changes in more detailed diets.

## Model Computational Structure

For the most part, the model works like a series of interlocked spread- sheets translating demand for all types of agricultural products into production in different countries and calculating the land use and other inputs required for that production and, from these inputs, the emissions generated during that production. In certain features, however, the model must resolve demand and supply through more complicated algorithms.

### Trade

In the base year, imports and exports are specified by FAO data at the country level and aggregated to the regional level using FAO bilateral trade information to remove intraregional trade. From these data, each region's "dependence ratio" and "share in global gross exports" are cal- culated for each agricultural product. The dependence ratio is the ratio of a region's gross imports divided by the region's demand for domestic consumption. If a region has gross imports of 10 units and consumes 100 units of a product, its dependence ratio is therefore 10 percent. The "share in gross exports" is that country's share of global gross exports. If a country contributes 20 units of total gross exports of a product among all exporting countries, and the world's total trade of that product is 100 units, that country's share in gross exports is 20 percent.

In future scenarios, the baseline assumption preserves both the "dependence ratio" and the "share in gross exports." A region may both import some of the same product and export that product, in general because of different types or qualities of a crop or agricultural product. This system preserves both roles in global markets. To explore future scenarios, the model can be run with different trade shares and dependence ratios.
<figure><img src="image_212.png" /><figcaption>Figure A-1 | Animal-based foods are split into eight categories in the GlobAgri-WRR model</figcaption></figure>

Note: Offal refers to the entrails and internal organs of an animal used as food. Demersal fish refers to fish living near the floor of a body of water. Pelagic fish refers to fish that exist in the pelagic zone of a body of water, which is neither close to the shore nor close to the bottom. Cephalopods refers to sea life with prominent heads and tentacles, such as squid and octopi.

Source: GlobAgri-WRR model and FAO (2019a).

## Land Use

In some scenarios that the model could analyze, there are possibilities for increasing agricultural land-use demands within a country to levels in excess of available land. To avoid this scenario, when a country runs out of agricultural land, the model is programmed to cap production and to meet rising demand by changes in net imports. This cap would only become relevant for extremely high growth scenarios.

We also have special rules regarding dry grazing land. In general, the model assumes that the full range of global production systems meet milk or meat demands in the base year. However, we believe that all or virtually all dry grazing land available in a country is used today, so that increases in grassland areas must come from wetter systems (humid or temperate). We also believe that because dry grazing lands have little alternative use, they would continue to be used even if demand for milk or ruminant meat declined. We therefore program the model so that changes in supply of milk or ruminant meat do not come from

increases or decreases in arid grazing systems and instead result in changes in humid and temperate production systems.

## By-products, Processing Products, and Coproducts

We take diet consumption in the reference year from FAO commodity balances. FAO reports these data per country. These balance sheets cover a wide variety of products that are derived products, such as sugar and sweeteners, alcohol, vegetable oils and cakes, brans, milled rice, and milk and meats. In addition, some products may be joint products. For example, soybeans generate both soybean oil and cake, and producing milk will result in both milk and some meat production. It is possible to handle these transitions by translating all final products into primary product equivalents. For example, a kilogram of soybean oil can be transformed into a fraction of a kilogram of soybean crop that might correspond to its weight or calorie percentage. An advantage of this approach is that it limits the number of products, and also implicitly accounts for changes in coproduct shares when
demand changes. But a limitation of this approach is that the quantities of processed products may not be physically possible. For example, the percentages of soybean cake and soybean oil consumed may be different from the physical quantities actually produced by a given quantity of soybeans. In part because of the growing dietary importance of vegetable oil, which may come from multiple sources, we wished to have a model that was physically possible for those products. We also wanted to have primary equivalents for other products—namely, sugar and sweeteners, alcohols, and brans. The model therefore establishes rules so that production of a primary product is driven by its largest coproduct by energy value—for example, soybean cake in the case of soybean products. The quantity of soybean oil production is therefore established by the demand for soybean cake for animal feed.

Similarly, the FAO commodity balances show that many products (e.g., crops) are devoted to processing. The finished products that come out, such as alcohol, may derive from different combinations of primary products, such as different grains. During the processing, some product quantities are also lost or transformed into bran and some other products that are typically used for animal feed and that do not show up in food balance sheets. The commodity balances do not directly permit a mapping of processed products to primary products, and such a mapping is not straightforward. One challenge is that FAO estimates of calorie contents of food calories vary by region or country (e.g., a kilogram of beef will have different calories in one country compared to another because the types of beef products are considered to vary). Ultimately, consumed calories in the different product categories have to map consistently and plausibly to primary products, both produced domestically and imported.

Programming in GlobAgri-WRR is designed to address these challenges in a variety of ways. For derived products, such as raw sugar, sweeteners, alcohols, and brans that can be derived from diverse products, we first determine the relative contributions of different processed inputs. There could be more than one solution for the determination of a derived product source. For example, wheat and maize processed in alcohol and sweeteners may be combined in different ways. As one example, all the sweeteners may come from maize and the remaining processed maize could be used as alcohol, then processed wheat would be used to produce the remaining alcohol. However, many other combinations are possible. We use a minimization to find a unique solution by trying to keep the share of input product in derived product similar to the share of processed use in total processed uses for corresponding products. In the example above, if processed maize is twice as high as processed wheat, then two-thirds of alcohol and sweetener will come from maize and one-third from wheat. This calculation is done only for the reference year to set coefficients for the model in general.

Finally, for derived products set forth in use by FAO that are not explicit (brans, sugar, alcohols), we compute the transformation coefficients so that primary products and ultimate products are equivalent. For example, if diets report consumption of alcohol, and some of that alcohol is imported, these demands and imports are transformed into primary products both for calculating diets and imports.
All the computations described above concern commodity balances products and reference year balances and coefficients. Turning to the model resolution, for sugar, brans, and alcohols, all the demands for food and feed are translated into primary products demands, mostly cereals and sugar crops. The model resolution is therefore simple for those products.

For oil and cakes that are joint products of oil crops and meat and milk that are joint products of the dairy sector, a different approach must be used to assure physical consistencies for the reasons discussed above. In the case of oil crops except for oil palm fruit, the quantity demanded is based on the quantity of oilseed cakes required. The oil is treated as a by-product and is the first source of vegetable oil. If more vegetable oil is required, the model estimates that this supply will come from palm oil production because it is the cheapest source of global vegetable oil production. For this assumption to function, palm kernel cake and palm oil are considered to be produced independently so that palm oil demand can be met by increased oil palm production without increasing production of palm kernel cake. Similarly, the quantity of meat produced by the dairy sector depends entirely on the quantity of milk demand, with the meat treated as a coproduct. The remaining meat demand is filled by production systems for beef or small ruminant meat that produce only meat.

## Aquaculture

In the case of aquaculture, the model determines feed available from fish (a composite of oil and meal) as a percentage of available wild fish consumption. Because the wild fish harvest has not grown for more than 20 years, we do not believe any additional wild fish consumption is possible and therefore cap the level of fish and fish feed at 2010 levels. We have rules to ensure that additional aquaculture production substitutes oilseeds for wild fish. (For some years, diversion of fish feed from other livestock products may serve as the direct source of additional aquaculture production, but that would require additional consumption of oilseeds by other livestock sectors with the same net result.)

## Waste

FAO food balance sheet data provide a category of waste for uses of food, but the category is too small to account for all sources of waste. GlobAgri-WRR therefore incorporates estimates of waste for each product in each region from FAO (2011c). To avoid double-counting waste, we add "waste" in FAOSTAT back into the food available for consumption and then use loss and waste coefficients from FAO (2011c). Because FAOSTAT food balance sheets already assume transformation losses in food that goes through processing, we also do not include "processing and packaging" wastes estimated in FAO (2011c). "Postharvest handling and storage" losses going through local food systems are also accounted for. The result should be actual diets.

One of the issues with FAOSTAT and FAO (2011c) estimates of waste is that resulting actual diets appear likely to remain substantially higher than the calories people probably eat. As reported in Del Gobbo et al. (2015),³ there is a large discrepancy between the calories FAO data imply that people actually consume even after adjusting for loss and waste estimates, and the calories that people claim to eat based on food surveys around the world. For example, U.S. Department of Agriculture (USDA) food surveys claim that people in the United States on average consumed 2,081 calories per day in 2009–10. By contrast, FAO food balance sheets, which are also based on USDA data, estimate food availability of 3,711 calories per person per day, which according to our calculations translates into 2,922 calories per person per day after adjusting for estimates of waste in the retail and consumer sectors. This difference is part of a broader set of discrepancies. For example, Del Gobbo et al. (2015) found that while the FAO balance sheets estimated much higher food availability than consumption for most foods, they typically underestimated reported consumption of beans and legumes and nuts and seeds.
These discrepancies lack a full explanation. They may represent overestimates of food available by FAO, but they may also reveal underestimates of food consumption by people responding to surveys. One possible explanation for the underestimate of nuts and beans is that FAO may be failing to count some home production or wild-gathered nuts and seeds. Another possibility is that the FAO (2011c) estimates of food losses and waste, as high as they are, underestimate actual food waste, particularly if they fail to count portions of products that many people don't ultimately consume but may not consider waste (such as the interior parts of vegetables, or the fattier parts of meat, that the affluent throw away). For purposes of GlobAgri-WRR, what is most important is that the land (and chemicals) used for agricultural production ultimately correspond properly to diets. If losses and wastes are higher than otherwise estimated in FAO (2011c) and consumption is lower, this relationship between land and inputs and diets will remain accurate. At this time, there is no alternative to using FAO data for this type of analysis.

## Land-Use Requirements

The model specifies a production level for each crop and for livestock in each country based on demand and trade. Land area requirements for each crop are then based on specified yields and cropping intensities, which reflects the ratio of total cropland area to harvest. The model uses an average cropping intensity for all crops within a country. These figures are based on FAO data in the reference year. In future years, yields and cropping intensities can be specified as a model input.

For grazing area, the model computes a demand for grazing area forage from the livestock module and in the reference year, an average yield of forage per hectare of grazing land in each of several climate zones. Forage quantities from grazing land are based on the model used for Herrero et al. (2013), discussed below. Grazing areas per climate zone were based on an overlay of the zones as specified by FAOSTAT and maps of grazing area from Bouwman et al. (2006). The climate zones are arid, humid, and temperate within each country. For reasons discussed above, all growth and reductions in livestock grazing areas in future years are estimated to come from humid and temperate zones. Grass yields are therefore specific to those zones. For future years, the model permits specification of percentage changes in grassland yields. Increases in tons of grass consumed per hectare could result either from improved grass growth or more efficient grazing, and the model does not differentiate. (The livestock model also permits specification of improved livestock yields due to more efficient conversion of feed to meat and milk, but that improvement is made through the livestock module.)

## Emissions

The model focuses on emissions up to the farm gate, including emissions involved in the production of farm inputs. Emissions from land-use change are also calculated separately and can be combined with production emissions.

Emissions are based on carbon dioxide, nitrous oxide, and methane (and do not include other pollutants such as black carbon and aerosols, or impacts on climate through tropospheric ozone or changes in albedo). In all cases, emissions are counted both in their actual gasses and using global warming potential (GWP) for 100 years. To calculate the GWP of 1 kg of methane, the model uses 34 kg of carbon

dioxide equivalent based on the recommendations of the most recent comprehensive assessment of the Intergovernmental Panel on Climate Change (IPCC). These figures contrast with a GWP 100 of methane of 25 under the IPCC's 2006 national reporting guidelines, which most countries and international institutions still use. The GWP 100 of nitrous oxide is 298.

The model computes the following categories of GHG emissions in ways that incorporate several other models as follows:

### Livestock emissions (enteric, manure management, and paddocks, range and pasture)

The model estimates both emissions from livestock and types and quantities of feed required using a representation of livestock systems used in Herrero et al. (2013). As part of that exercise, the authors separated the world's ruminant livestock systems into 27 regions, and in each region, into up to eight representative systems based on the Sere-Steinfeld livestock categorization system. Those systems are based on grazing-only systems, mixed systems (combining some grazing and some confined feeding), and "urban," which are entirely confined systems. Grazing and mixed systems were also grouped into arid, humid, and temperate zones, which include tropical highlands. Ruminant systems were also categorized as bovine dairy, bovine meat, small ruminant dairy (sheep and goats), or small ruminant meat. For each system, the team estimated average feed diets and dominant breeds used, and basic herd characteristics (such as fertility and mortality rates). The team then estimated production using the "ruminant model," which is a biophysical model developed by Herrero that simulates ruminant digestion, energy and protein uptake, and their translation through different cow breeds into live weight gain and milk production. The model is sensitive to the precise qualities of animal feeds. Using a number of convergence algorithms, the modelers adjusted the estimates to fit FAO data for livestock numbers, production, and animal feeds tracked by FAO.

The model calculates feed requirements in the following categories: crops, forage from grazing land, forage characterized as "occasional" (forage gathered by cut and carry systems or wastes from agricultural processing), and "stover" (crop residues). (The underlying model also uses types of stover and wastes.) Crops in turn are segregated into barley, corn, pulses, rice, sorghum and millet, soybeans, wheat, other cereals, other oil seeds, canola, and feed from animal products.

Running GlobAgri-WRR does not require running ruminant or the underlying herd model but instead incorporates these results based on the regions and production systems. For each production system, the model incorporates the estimates of feed requirements per kilogram of production and emissions generated per kilogram of production. For the reference year, the model allocates ruminant production in a country to the different systems in proportion to the regional distribution of livestock systems' grass demand estimated by Herrero et al. (2013) for the year 2000, using system-specific grassland areas in countries and regional system grassland yields. For monogastrics, the regional system production shares are used to split country production in the different systems. The quantity of production otherwise calculated by GlobAgri-WRR in a region or country, multiplied by share of a production system, and multiplied by either the feed requirements or GHG emissions per unit of production for that system generates the total feed requirements and emissions in total for that system.
then sums these feed requirements to the national or regional level, where they determine the production of feeds and trade. GlobAgri-WRR also sums the emissions to the global level.

The ruminant model embedded in this livestock system estimates both methane emissions and the nitrogen content of wastes. Based on system, the overall model estimates the portion of this nitrogen that is deposited on paddocks, range, and pasture (PRP) and the portion that is subject to a form of concentrated manure management. The model then uses Tier 1 coefficients from the IPCC 2006 national GHG reporting guidelines to estimate emissions from nitrous oxide associated with these nitrogen excretions. The ruminant model also estimates quantities of waste. The overlay model determines the manure management system for those systems that involve concentrated production of manure and uses Tier 1 IPCC emissions factors for that management system to estimate methane emissions.

The same paper also generates analyses for pork and poultry systems, divided between egg production and meat. Within each region, pork and poultry production are divided between intensive ("urban") and extensive ("other"). Only crop feeds are individually listed, as other feeds are considered to be wastes and residues of some unspecified type. The authors estimated waste management systems by region. Emissions are based on Tier 1 methods from the IPCC 2006 guidelines.

For future years, GlobAgri-WRR can be run through variations on these livestock systems by estimating changes in the mix of livestock systems within a region or by introducing improvements in livestock systems whose effects are separately estimated using the ruminant model and herd model to generate emissions and feed requirement estimates.

More details about the livestock model components, including a description of the ruminant model, are presented in the published online supplement to Herrero et al. (2013).

## Rice methane emissions

Rice methane emissions are based on the model developed and presented in Yan et al. (2009) based on IPCC 2006 methods. According to these methods, rice production from irrigated fields is influenced by the length of period of flooding within the cultivation season, the flooding regime outside of the cultivation period, the types of soil amendments added (particularly crop residues), and whether the in-season flooding is continuous, interrupted once by a drawdown that allows oxygen to penetrate soils, or interrupted by multiple drawdowns. Yan et al. (2009) developed a spreadsheet model based on understanding of these conditions in the rice-growing countries, and which allows for changes in water management conditions and soil amendments. The model can produce average national estimated methane emissions for each hectare of rice production. GlobAgri-WRR incorporates these estimates for the baseline year based on the model per country. For future scenarios, the rice model can be run "off-line" to estimate changes in these average national emissions based on changes in management practices. Such changes can then be incorporated as part of mitigation scenarios.

For this process, we made one change to the version of the model used in Yan et al. (2009). The version for that model built in assumptions of very high levels of single and multiple drawdowns across the world's irrigated rice production based on figures provided in an Asian Development Bank report. These estimates seemed too high to the authors of the World Resources Report rice installment in Adhya et al.

(2014). We adjusted these estimates so that one midseason drawdown is assumed to be common only in Japan, China, and South Korea (90 percent of irrigated production), and there is no meaningful rate of multiple drawdowns. In all other countries, only 10 percent of irrigated production is estimated to experience one midseason drawdown.

## Nitrogen fertilizer use and nitrous oxide emissions

Nitrous oxide emissions from agricultural soils are a function of all nitrogen applied to soils whether from fertilizer, nitrogen applied in manure, nitrogen deposited on soils by grazing cows, nitrogen fixed or absorbed by crops and left in crop residues, or nitrogen deposition. For cropland and for the portion of nitrogen applied to pasture from fertilizer, the model is now programmed primarily to generate emissions using an IPCC Tier 1 emission factor for direct and indirect nitrous oxide emissions of 1.425 percent of applied nitrogen. An exception is that nitrogen for irrigated rice production is based on the IPCC emission factor of 0.3 percent, because of the extensive evidence that flooding reduces nitrous oxide emissions. The model can easily be run using alternative emissions coefficients. The model can also estimate nitrous oxide emissions based on nitrogen surplus (the excess of applied nitrogen over nitrogen removed in crops, according to a formula estimated by van Groenigen et al. 2010).

Total nitrogen application rates, including nitrogen from synthetic fertilizer, manure, biological nitrogen fixation, and nitrogen deposition, are based on a database presented in Zhang et al. (2015b) and described in its supplement. This database was developed using data from a variety of sources, with particular reliance on data sets established by the International Fertilizer Association (IFA) and FAO. The nitrogen database in Zhang et al. (2015b) provides estimates on nitrogen input rate from four different sources, namely fertilizer, manure, biological nitrogen fixation, and deposition, by country and crop type for the period 1961-2011. The database covers 153 crop types and over 190 countries, which account for more than 99 percent of the global total nitrogen input to cropland. The nitrogen fertilization rates are estimated based on reports by IFA and FAO on fertilization rates by country and crop types for recent years (namely, 2000, 2006, 2007, and 2010). Nitrogen deposition rates for each country and crop type are estimated based on maps of nitrogen deposition and crop distribution. The projected deposition rates in 2050 are estimated based on the projection in Bouwman et al. (2013) and the crop distribution map around year 2000. Nitrogen fixation rates by leguminous crops are estimated based on the crop type and yield following methodologies used in Van Grinsven et al. (2015).

In addition, this database provides information on nitrogen removed from cropland in the form of food product, and consequently the nitrogen use efficiency (NUE) by crop type and country (or region), which is defined as the ratio of nitrogen removed by harvested crops divided by total nitrogen inputs. Along with nitrogen inputs from other sources, fertilizer demand can be estimated over time as a function of NUE, crop production, and crop yields. By estimating changes in NUE, various potential mitigation options can be analyzed.

For nitrogen from manure, to ensure consistency with the livestock model and potential changes in livestock production, we replaced the manure estimates in Zhang et al. (2015b) with manure estimates from the livestock model adapted from Herrero et al. (2013). In addition, because nitrogen in crop residues is not explicitly accounted for, a coefficient is used that links nitrous oxide emissions from residues to other sources of nitrous oxide emissions based on FAOSTAT emissions data.
## Energy Use

Energy use emissions come from two categories: energy used on farms to run machinery, and energy used to produce fertilizer and pesticide inputs. Emissions for energy use on farms are taken from FAOSTAT and are assigned within a country by hectare of harvested area. Emissions for pesticides are based on quantities of pesticides used by hectare and country using the same methodology as the U.S. Environmental Protection Agency (EPA) for a 2009 rulemaking for the Renewable Fuels Standard expressed in a worksheet included in the docket for a rulemaking published on March 26, 2010, titled EPA-HQ-OAR-2005-0161-3175.17.⁴ The analysis also includes estimated emissions and quantities for the production of phosphorus, potash, and potassium, which are also estimated per hectare for each of 11 crop types using IFA data. For nitrogen use, the model uses the nitrogen model subcomponent to estimate quantities of synthetic nitrogen used and then estimated emissions factors associated with synthetic nitrogen synthesis from the EPA document.

## Land-Use Emissions

Emissions from land-use change are based on a model developed by researchers at the European Commission Joint Research Centre (JRC), originally described in Hiederer et al. (2010). This land-use model estimates the quantity of GHG emissions that will be generated by land-use change for a specified quantity of hectares of a particular type of crop within a specific region. It does so by identifying existing croplands and areas devoted to specific crops (Ramankutty et al. 2008; Monfreda et al. 2008) and identifying potentially suitable land for each specific crop that is not in crop production from the GAEZ/FAO model, and then a variety of mapped products to identify different landscape types. After excluding land within a cell that is not suitable for production of a particular crop, the model then selects lands within a cell that are not cropland. In each cell with crops of any particular type, the assumption is that cropland expands into remaining ecosystem types in proportion to those types. This analysis is based on an assumption but grounded in extensive empirical evidence that agricultural expansion tends to work outward from existing agricultural areas.

Expansion of cropland results in levels of vegetation and soil carbon stocks falling from those found under natural vegetation to those found under cropping systems. To estimate carbon stocks, the model uses vegetative carbon stocks based on the IPCC 2006 default values for different ecosystems as synthesized in the guideline for the European Commission Directive on Renewable Energy (European Commission 2010). The IPCC provides values for a broader range of ecosystems than our five land-use categories.⁵ The JRC model uses these different land-use categories to estimate carbon stocks and changes but groups changes into five broader land-use categories: open forest (less than 30 percent canopy cover), closed forest (30 percent to 100 percent canopy cover), scrubland (woody plants lower than 5 meters not having clear aspects of trees), grassland, and sparse vegetation. Soil carbon stocks within the top meter were estimated based on the Harmonized Soil and Water Database (version 1.1).⁶ The GlobAgri-WRR model assumes that cropland conversion causes the loss of one quarter of soil carbon from the top meter, while conversion to grazing land does not alter soil carbon stocks.

In GlobAgri-WRR, the quantity of grazing land is dictated by demand for livestock and livestock systems. If the JRC model estimates that cropland would expand into grassland used for grazing, the area of

grazing land would have to expand further. The JRC model can also be run to estimate land-use types converted for grazing. When the model estimates that cropland would expand on to grazing land, we therefore substitute for that grazing land a mix of land-use types that would be converted for expanded grazing. Because little of the world's true native grassland (as opposed to scrubland or woody savanna) is not already used for grazing, we assume that all grassland conversion for crops reduces grazing land and therefore triggers this second-order conversion to replace the grazing land. This second-order conversion comes from ecosystem types that the model estimates would supply new grazing land in proportions based on the cell-by-cell analysis, but those sources of potential grazing land are restricted by GlobAgri-WRR to scrublands, open forest, and closed forest on the grounds that existing native grazing land is already used.

These calculations result in average carbon emissions for each hectare of land expansion in each country for pasture or for each type of crop. The central features of GlobAgri-WRR use these estimated emissions rates per hectare if the model estimates a change in demand for a type of crop or pasture within a country. Although the precise rate of emissions per hectare varies for each run of the model, typical average conversion rates for global changes in diets are around 85 tons of carbon per hectare, including both vegetation and soil carbon. These average emission factors are slightly higher than the average emissions per hectare used by the U.S. EPA for biofuel regulations (for the 2017 case) of roughly 76 tons of carbon per hectare.⁷ One likely reason is that the EPA analysis used an international model focused on cropland expansion, which did not require that all converted grazing land be replaced. As a result, substantial areas of relatively low-carbon grazing land could be converted to crops without any further conversion of higher-carbon forest and savanna. Under the accounting approach in GlobAgri-WRR, a reduction in grazing land due to crop conversion requires an increase in pasture area for the same level of production, and this pasture land requires a further conversion of savanna, scrubland, or open or closed forest. All net increases in agricultural land can therefore only come from these land covers. The EPA model also did not account for the high carbon losses associated with peat-land conversion for palm oil production in Southeast Asia.

One challenge in calculating emissions from land-use change is that methods such as those employed by our model typically ignore the forgone carbon sequestration that would occur in forests, and some savannas and scrublands, if the land were not converted to agriculture. Carbon stock estimates are typically based on existing forests, not undisturbed forests. Many and probably most of the world's forests and woodland/savannas have been subject to forest harvest, whether for commercial production or firewood, and have depleted carbon levels. In satellite mapping systems, many lands that appear as savannas and open forest are actually abandoned agricultural lands regenerating with wood, or mixed-use landscapes. If not converted to cropland, some of these lands would increase their carbon stocks, and others might continue to be used but would contribute wood or even agricultural products that help meet human needs. If carbon stocks are taken as fixed, the model neither picks up this forgone sequestration or the loss of biomass for human uses that might be replaced elsewhere. Put another way, the full opportunity cost of converting this land is not captured. Data limitations frustrate attempts to estimate these costs more fully because regeneration and harvest rates are unknown. At this time, our model in this way underestimates the costs of land conversion. Many other assumptions are uncertain because of the uncertainties
about the precise lands that will be converted, soil carbon losses, and existing carbon stocks. However, GlobAgri-WRR can be easily run with adjustments to these carbon stocks to represent alternative scenarios.

Land-use conversion will also typically result in nitrous oxide emissions during decomposition of soil carbon, as well as nitrous oxide and methane emissions if fire is used for clearing. Although the JRC model estimates nitrous oxide emissions from soils in this way,⁸ the estimated emissions are typically only around 2 percent of carbon losses, and we omit them here.

## Aquaculture

Levels of aquaculture production, feed demand, and emissions are based on a study and model developed by WorldFish and described in Hall et al. (2011b). This study first characterized aquaculture production in all of the world's major aquaculture-producing countries (plus other regions where aquaculture rates are lower) by major fish type and into three levels of production systems: extensive, semi-intensive, and intensive. For each system, the modelers estimated direct land-use demands (ponds), chemical and feed inputs, production, and emissions from direct energy use. (WorldFish modelers also estimated indirect emissions and land-use requirements associated with feed production, but for use in GlobAgri-WRR, these quantities were stripped from the model to avoid double-counting, as GlobAgri-WRR estimates these emissions and land-use requirements directly given type and quantity of feed demand.) We aggregated fish production by country into commodity balance products based on the present mix, with associated average feed, direct land-use demands, and direct energy emissions (including chemical inputs). Using the WorldFish spreadsheet model, we developed alternative scenarios for future aquaculture production both in type of fish produced (allowing us to vary such factors as herbivores, omnivores, or carnivores), and changes in production methods. These scenarios, some of which are intended to explore mitigation techniques, are run "offline" and then fed into GlobAgri-WRR as alternative production and demand scenarios.

Because aquaculture has provided all increases in global fish consumption for more than two decades, the model assumes that all future fish consumption will come from aquaculture. Presently, the model is also programmed to assume that uses of wild fish meals and oils are constant to the 2010 base year, so that increases in aquaculture production will require oilseeds to replace fish meal and oil.

## Biomass burning

At this time, GlobAgri-WRR model does not estimate emissions from biomass burning. Biomass burning typically attributed to agriculture falls into two categories: burning of savannas and grasslands for improved grazing, and burning of crop residues. We do not include the former because the extent to which human burning of grasslands and savannas increases methane and nitrous oxide above natural conditions of these fire-prone ecosystems remains unclear. Residue burning has not yet been incorporated into the model, but it is small.

## Diets

To analyze diets in the reference year, GlobAgri-WRR generally adjusts diets provided by FAO food balance sheets after adjustment for wastes as specified in the papers describing the diets. For vegetarian diets in developed countries, there is little information available about what vegetarians actually consume. One exception is a set of surveys from 1993 to 1999 of vegetarians and vegans in the United Kingdom conducted by EPIC-Oxford. These data were the basis for an analysis of differential GHG emissions in Scarborough et al. (2014), which compared emissions from diets using analogous lifecycle calculations that included not just farmgate emissions, which are the focus of GlobAgri-WRR, but also processing, retailing, and consumption emissions. For the vegetarian analysis in GlobAgri-WRR, the authors of that study provided access to the dataset showing the reported intakes of each of 289 different foods for all 55,504 EPIC-Oxford participants. Those food items included final, processed food categories. We extracted the reported dietary intakes of each item by the vegetarians and vegans for both men and women and, using other data provided by the authors of that study, transformed the final food diets into calories of the types of foods analyzed by FAOSTAT. The resulting reported calorie consumption per person was significantly lower than that implicit in the FAOSTAT food balance sheets. That imbalance may occur because balance sheet diets, as discussed above, tend to be substantially more calorie-rich than self-reported diets whether by vegetarians or omnivores, but vegetarian calorie consumption may also be lower because vegetarians were likely a healthier subset of the UK population. To identify the benefits of vegetarian diets themselves rather than changes in calorie consumption, we rescaled vegetarian diets in each region in which we applied these diets (generally wealthier countries) to the average per capita calorie consumption.

## GlobAgri-WRR Model Authors

**Principal modeler:** Patrice Dumas, Centre de coopération internationale en recherche agronomique pour le développement (CIRAD)

**Principal comodeler:** Tim Searchinger, Princeton University

**Other contributors to core model:** Stéphane Manceron, L'Institut national de la recherche agronomique (INRA); Richard Waite, World Resources Institute (WRI); Chantel Lemouel, INRA

**Additional contributors:** Craig Hanson, WRI; Élodie Marajo Petitzon, INRA

**Contributors of model components:**

**Livestock:** Mario Herrero, Commonwealth Scientific and Industrial Research Organisation (CSIRO); Petr Havlík, International Institute for Applied Systems Analysis (IIASA); Stefan Wirsenius, Chalmers University

**Rice:** Xiaoyuan Yan, Institute for Soil Science (China)

**Nitrogen:** Xin Zhang, Princeton University

**Aquaculture:** Mike Phillips, WorldFish; Rattanawan Mungkung, Kaset-sart University

**Land use:** Fabien Ramos, European Commission Joint Research Centre (JRC)

**Vegetarian diets:** Data on UK vegetarian diets were provided by Paul Appleby of Oxford University and reanalyzed by Brian Lipinski and Laura Malaguzzi Valeri of WRI.
APPENDIX B. FINDINGS OF PREVIOUS STUDIES OF THE ENVIRONMENTAL
CONSEQUENCES OF SHIFTING DIETS

Table B-1 summarizes papers that examine the implications of reducing meat and dairy consumption in diets. They have consistently found large reductions in land use and GHG emissions, although effects on water use can depend on the level of fruit, vegetable, and nut consumption. Because each of the studies discussed in this list uses a different approach, and because some include GHG emissions from food processing and retail and not merely production-related emissions at the farm, their results are not directly comparable to each other or to GlobAgri results.

The GlobAgri-WRR model builds on previous studies and addresses some of their limitations. Many other studies are based not on one consistent model but on average results from multiple lifecycle as-

sessments performed by different researchers of different foods. This approach can introduce inconsistencies due to the widely varying methods and assumptions of different lifecycle assessments. Moreover, some modeling analyses, such as Eshel et al. (2014), focus only on one country. GlobAgri-WRR applies a single modeling approach to production of foods throughout the world. It is most similar in basic approach to Bajzelj et al. (2014) and Hedenus et al. (2014). A principal difference is that GlobAgri-WRR is substantially more disaggregated. It can therefore estimate, for example, not just broad global shifts in diets, but diet shifts only in regions where people consume large quantities of animal-based foods. It can also examine the regional consequences of these shifts and interactions with more possible changes in production methods.

<table><caption>**Table B-1 | Summary of findings by previous studies examining the implications of shifting toward lower meat and dairy consumption**</caption><thead><tr><td>PREVIOUS STUDIES</td><td>SUMMARY OF FINDINGS</td></tr></thead><tbody><tr><td>Eshel et al. (2009)</td><td>Found that the average U.S. diet (which includes animal-based foods) required 3-4 times as much land and 2-4 times as much nitrogen fertilizer as alternative vegan diets.</td></tr><tr><td>Stehfest et al. (2009)</td><td>Modeled a "healthy diet" scenario, based on recommendations by the Harvard Medical School for Public Health, that included reducing consumption of beef, poultry/eggs, and pork to 52%, 44%, and 35% of global projected consumption levels (respectively) in 2050. The scenario freed up enough existing agricultural land to allow substantial reforestation and sequestering of carbon, and reduced GHG mitigation costs by more than 50% for the period 2005-50.</td></tr><tr><td>Eshel et al. (2014)</td><td>Found that beef production requires 28 and 11 times more land and irrigation water, respectively, and produces 5 and 6 times more GHG emissions and reactive nitrogen impacts, respectively, than the average of the other livestock categories (dairy, poultry, pork, and eggs). The paper also found that these other livestock categories, in turn, involved 2 to 6 times more land, GHG emissions, and nitrogen impacts than staple plant-based foods, although irrigation requirements were comparable.</td></tr><tr><td>Bajzelj et al. (2014)</td><td>Examined the effects of shifting to "healthy diets" that reduce consumption of sugar, oil, meat, and dairy while increasing consumption of fruits and vegetables. Found that shifting to "healthy diets" reduced global cropland demand by 5%, pastureland demand by 25%, GHG emissions by 41%, and irrigation water demand by 3% relative to 2050 baseline projections.</td></tr><tr><td>Hedenus et al. (2014); Bryngelsson et al. (2016)</td><td>Found that reducing ruminant meat and dairy consumption—in addition to improving agricultural productivity and efficiency and reducing GHG emissions from fossil fuels and deforestation—is a necessary strategy to meet EU and global emissions targets to limit global warming to 2°C.</td></tr><tr><td>Scarborough et al. (2014)</td><td>Analyzed the GHG impacts of UK diets and found that vegetarian diets produce only two-thirds of the GHGs and vegan diets only produce one-half of the GHGs relative to the average UK diet.</td></tr><tr><td>Tilman and Clark (2014)</td><td>Predicted that global average per-capita dietary GHG emissions would increase by nearly one-third between 2009 and 2050 as incomes rise. Estimated that, relative to the projected 2050 global-average diet, per-capita dietary GHG emissions would be 30%, 45%, and 55% lower under Mediterranean, pescatarian (vegetarian diet with fish), and vegetarian diets, respectively.</td></tr></tbody></table>
<table><thead><tr><td>PREVIOUS STUDIES</td><td>SUMMARY OF FINDINGS</td></tr></thead><tbody><tr><td>Tyszler et al. (2014)</td><td>Modeled a diet for the Netherlands that both met nutritional requirements and lowered environmental impacts by reducing consumption of meat, cheese, and milk to 30%, 40%, and 84% (respectively) of the average Dutch diet, while raising consumption of fruits, vegetables, nuts, and seeds. The modeled diet provided a 38% reduction in GHG emissions and a 40% reduction in land use relative to the average Dutch diet.</td></tr><tr><td>Westhoek et al. (2014, 2015)</td><td>Predicted that halving consumption of meat, dairy, and eggs in the European Union would reduce nitrogen emissions by 40% and GHG emissions by 25-40%. Also predicted a 23% reduction in domestic cropland needed to feed each EU citizen.</td></tr><tr><td>Tom et al. (2015)</td><td>Found that shifting from the current U.S. diet to one that reduced overall caloric intake and also followed U.S. dietary guidelines actually increased energy use by 38%, blue water footprint by 10%, and GHG emissions by 6%. However, the scenario modeled included not only a 25% decrease in meat consumption but also a 78% increase in dairy consumption—leading to an overall 13% increase in animal-based food consumption.</td></tr><tr><td>Springmann, Godfray, et al. (2016a)</td><td>Found that transitioning to more plant-based diets in line with standard dietary guidelines could reduce food-related GHG emissions by 29-70%, relative to a reference scenario in 2050, along with health and economic benefits.</td></tr><tr><td>Erb et al. (2016)</td><td>Found that many options exist to meet the global food supply in 2050 without further deforestation, even at low crop-yield levels—including all scenarios with a fully vegan world population, and 94% of scenarios with a fully vegetarian population.</td></tr><tr><td>Springmann et al. (2018); Willett et al. (2019)</td><td>Found that a “healthy reference” diet reduced GHG emissions from agricultural production by roughly half (relative to 2050 business as usual), although cropland use and blue water use remained similar to business as usual.</td></tr></tbody></table>
ENDNOTES

1. FAO (2019a).

2. FAO (2011c).

3. Del Gobbo et al. (2015) provides a comparison of national estimates implied by FAOSTAT and a separate Global Dietary Database. Although this paper does a great service by compiling data on food surveys and analyzing differences with FAO, the authors did not adjust FAO food availability for estimated losses and waste in households and at the retail level. As a result, the size of the discrepancies the paper discusses are higher than those implied by the FAO data and estimates of losses and waste, but our analysis indicates that the discrepancies remain even after adjusting for estimates of retail and household losses and waste.

4. The guide to the rulemaking can be found at https://www.epa.gov/renewable-fuel-standard-program/renewable-fuel-standard-rfs2-program-amendments-2010.

5. We corrected one element of the directive carbon stock estimates, which were those for open forest. As discussed in Carré et al. (2010), vegetative soil carbon estimates were based on an assumption that an open forest would have vegetative carbon stocks relative to closed forests in proportion to their canopy cover (e.g., that a forest with 20% canopy cover would hold 20% of the vegetation of a closed forest). This calculation incorrectly assumes that closed forests all have 100% canopy cover, while closed forest carbon stocks are estimated for forests with between 30% and 100% canopy cover. The result was open forest carbon estimates far lower than those estimated by others. To correct this figure, we increased the carbon content of closed forests by 50%, which is probably still conservative as it left our figures for open forests lower than those estimated in Gibbs et al. (2008) (supplement) for average open forests using IPCC methodology.

6. FAO/IIASA/ISRIC/ISSCAS/JRC Harmonized World Soil Database (version 1.1), http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML.

7. Plevin et al. (2010).

8. Carré et al. (2010).

REFERENCES

To find the References list, see page 500, or download here: www.SustainableFoodFuture.org.
REFERENCE LIST

AAAS (American Association for the Advancement of Science). 2012. "Statement by the AAAS Board of Directors on Labeling of Genetically Modified Foods."

Abalos, D., S. Jeffery, A. Sanz-Cobena, G. Guardia, and A. Vallejo. 2014. "Meta-analysis of the Effect of Urease and Nitrification Inhibitors on Crop Productivity and Nitrogen Use Efficiency." *Agriculture, Ecosystems, and Environment* 189: 136-144.

Abalos, D., S. Jeffery, C.F. Drury, and C. Wagner-Riddle. 2016. "Improving Fertilizer Management in the U.S. and Canada for N<sub>2</sub>O Mitigation: Understanding Potential Positive and Negative Side-Effects on Corn Yields." *Agriculture, Ecosystems, and Environment* 221: 214-221.

Abbott, P. 2012. "Biofuels, Binding Constraints and Agricultural Commodity Price Volatility." Paper presented at the National Bureau of Economic Research conference, "Economics of Food Price Volatility," Seattle.

Abraha, M., I. Gelfand, S.K. Hamilton, C. Shao, Y.J. Su, G.P. Robertson, and J. Chen. 2016. *American Geophysical Union, Fall General Assembly*. Abstract id. B51D-0439.

Abram, N.K., D.C. Macmillan, P. Xofis, M. Ancrenaz, J. Tzanopoulos, R. Ong, B. Goossens, et al. 2016. "Identifying where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach." *PLOS ONE* 11 (6): e0156481.

Access to Seeds Foundation. n.d. "Cases." *Access to Seeds Index*. http://www.accesstoseeds.org/cases/.

ActionAid. 2012. *Biofueling Hunger: How US Corn Ethanol Policy Drives Up Food Prices in Mexico*. ActionAid International USA Report. Washington, DC: ActionAid.

Adedipe, N.O., J.E. Olawoye, E.S. Olarinde, and A.Y. Okediran. 1997. "Rural Communal Tenure Regimes and Private Land Ownership in Western Nigeria." *Land Reform, Land Settlement, and Cooperatives* 2: 98-110.

Adekanye, T.O., J.O. Otitolaiye, and H.I. Opaluwa. 2009. "Food and Agricultural Production in Nigeria: Some Empirical Considerations for Engendering Economic Policy for Africa." Paper presented at IAFFE Conference on Feminist Economics, Boston, June 26-28.

Adhya, T.K., B. Linquist, T. Searchinger, R. Wassmann, and X. Yan. 2014. "Wetting and Drying: Reducing Greenhouse Gas Emissions and Saving Water from Rice Production." Working paper, installment 8 of *Creating a Sustainable Food Future*. Washington, DC: World Resources Institute.

Adjoian, T., R. Dannefer, C. Willingham, C. Brathwaite, and S. Franklin. 2017. "Healthy Checkout Lines: A Study in Urban Supermarkets." *Journal of Nutrition Education and Behavior* 49: 615-622.

Affognon, H., C. Mutungi, P. Sanginga, and C. Borgemeister. 2015. "Unpacking Postharvest Losses in Sub-Saharan Africa: A Meta-analysis." *World Development* 66: 49-68.

African Agricultural Development Company. 2013. *Developing Sustainable Agriculture in Africa*. http://www.agdevco.com/about_us.php.

Agnew, D.J., J. Pearce, G. Pramod, T. Peatman, R. Watson, J.R. Beddington, and T.J. Pitcher. 2009. "Estimating the Worldwide Extent of Illegal Fishing." *PLOS ONE* 4(2): e4570.

Agostini, A., J. Giuntoli, and A. Boulamanti. 2014. "Carbon Accounting of Forest Bioenergy: Conclusions and Recommendations from a Critical Literature Review." Luxembourg: Publications Office of the European Union.

AGRA (Alliance for a Green Revolution in Africa). 2013. *Africa Agriculture Status Report: Focus on Staple Crops*. Nairobi: AGRA. http://agra-alliance.org/download/533977a50dbc7/.

AgResearch. 2016. "Shortlist of Five Holds Key to Reduced Methane Emissions from Livestock." *AgResearch News Release*. http://www.agresearch.co.nz/news/shortlist-of-five-holds-key-to-reduced-methane-emissions-from-livestock/.

AHDB (Agriculture and Horticulture Development Board). 2017. "Average Milk Yield." *Farming Data*. https://dairy.ahdb.org.uk/resources-library/market-information/farming-data/average-milk-yield/#.WV0_N4jyu70.

Ahmed, S.E., A.C. Lees, N.G. Moura, T.A. Gardner, J. Barlow, J. Ferreira, and R.M. Ewers. 2014. "Road Networks Predict Human Influence on Amazonian Bird Communities." *Proceedings of the Royal Society B* 281 (1795): 20141742.

Ahrends, A., P.M. Hollingsworth, P. Beckschäfer, H. Chen, R.J. Zomer, L. Zhang, M. Wang, and J. Xu. 2017. "China's Fight to Halt Tree Cover Loss." *Proceedings of the Royal Society B* 284 (1854): 20162559. doi:10.1098/rspb.2016.2559.

Aide, T.M., M. Clark, H.R. Grau, D. Lopez-Carr, M.A. Levy, D. Redo, M. Bonilla-Moheno, et al. 2012. "Deforestation and Reforestation of Latin America and the Carribean (2001-2010)." *Biotropica* 45 (2): 262-271.

AllIB (Asian Infrastructure Investment Bank). 2016. *Connecting Asia for the Future*. Beijing: AllIB.

Ajani, U.A., P.A. Lotufo, J.M. Gaziano, I.M. Lee, A. Spelsberg, J.E. Buring, W.C. Willett, and J.E. Manson. 2004. "Body Mass Index and Mortality in US Male Physicians." *Annals of Epidemiology* 14 (10): 731-739.

Akiyama, H., X. Yan, and K. Yagi. 2010. "Evaluation of Effectiveness of Enhanced-Efficiency Fertilizers as Mitigation Options for N<sub>2</sub>O and NO Emissions from Agricultural Soils: Meta-analysis." *Global Change Biology* 16 (6): 1837-1846.

Aksoy, A., and B. Hoekman. 2010. *Food Prices and Rural Poverty*. Washington, DC: World Bank.

"Alberta's Offset Market." n.d. "Carbon Sequestration and Agriculture in Alberta." http://albertacarbon.weebly.com/albertas-offset-market.html.

Alexandratos, N., and J. Bruinsma. 2012. *World Agriculture towards 2030/2050: The 2012 Revision*. Rome: FAO (Food and Agriculture Organization of the United Nations).

Alford, A.R., R.S. Hegarty, P.F. Parnell, O.J. Cacho, R.M. Herd, and G.R. Griffiths. 2006. "The Impact of Breeding to Crude Residual Feed Intake on Enteric Methane Emissions for the Australian Beef Industry." *Australian Journal of Experimental Agriculture* 46: 813-820.

Ali, D.A., and K. Deininger. 2014. "Is There a Farm-Size Productivity Relationship in African Agriculture? Evidence from Rwanda." *Policy Research Working Paper* 6770. Washington, DC: World Bank.

Ali, R., A. Federico Barra, C. Berg, R. Damania, J. Nash, and J. Russ. 2015. *Highways to Success or Byways to Waste: Estimating the Economic Benefits of Roads in Africa*. Washington, DC: World Bank.

Allison, E. 2011. "Aquaculture, Fisheries, Poverty and Food Security." Working Paper 2011-2065. Penang, Malaysia: WorldFish Center.

Allison, F.E. 1973. *Soil Organic Matter and Its Role in Crop Production*. New York: Elsevier.

Alston, J.M., C. Chang-Kang, M. Marra, P. Pardey, and J. Wyatt. 2000. *Meta-analysis of Rates of Return to Agricultural R&D: Ex Pede Hercule?*
International Food Policy Research Institute Research Report 113.
Washington, DC: IFPRI.

Alston, J., J. Beddow, and P.G. Pardey. 2010. "Agricultural Research, Productivity, and Food Prices in the Long Run." *Science* 325: 1209.

AMA (American Medical Association). 2012. *Report 2 of the Council on Science and Public Health (2-A-12): Labeling of Bioengineered Foods (Resolution 508 and 509-A-11)*. https://www.ama-assn.org/sites/default/files/media-browser/public/about-ama/councils/Council%20Reports/council-on-science-public-health/a12-csaph2-bioengineeredfoods.pdf.

American Diabetes Association. 2008. "Economic Costs of Diabetes in the U.S. in 2007." *Diabetes Care* 31: 596-615.

AMIS (Agricultural Market Information System). 2017. *Market Monitor*. http://www.amis-outlook.org/amis-monitoring/monthly-report/en/.

Anand, S.S., C. Hawkes, R.J. de Souza, A. Mente, M. Dehghan, R. Nugent, M.A. Zulyniak, et al. 2015. "Food Consumption and Its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System." *Journal of the American College of Cardiology* 66 (14): 1590-1614.

Andae, G. 2015. "Safaricom Wins Fertiliser Subsidy System Tender." *Business Daily*, February 5.

Andrade, H. J., M. Ibrahim, F. Jiménez, B. Finegan, and D. Kass. 2000. "Dinámica productiva de sistemas silvopastoriles con *Acacia mangium* y *Eucalyptus deglupta* en el trópico húmedo." *Revista Agroforestería en las Américas* 7 (26): 50-52.

Andreyeva, T., M.W. Long, and K.D. Brownell. 2010. "The Impact of Food Prices on Consumption: A Systematic Review of Research on the Price Elasticity of Demand for Food." *American Journal of Public Health* 100 (2): 216-222.

Angelsen, A., and D. Kaimowitz, eds. 2001. *Agricultural Technologies and Tropical Deforestation*. Wallingford, UK: CABI International.

AnimalChange. 2012. "Seventh Framework Programme, Theme 2: Food, Agriculture and Fisheries, and Biotechnologies, Deliverable 2.2: Preliminary Scenarios of the Developments in Agricultural Commodity Markets, Livestock Production Systems, and Land Use and Land Cover." Brussels: AnimalChange.

Anna, M., H. Nianpeng, X. Li, W. Qiufeng, L. Meiling, and Y. Guirui. 2017. "Grassland Restoration in Northern China Is Far from Complete: Evidence from Carbon Variation in the Last Three Decades." *Ecosphere* 8 (4): e01750. https://doi.org/10.1002/ecs2.1750.

ANTARA News. 2016. "Govt Revises Regulation on Peatland Protection." Jakarta: ANTARA News. http://www.antaranews.com/en/news/108206/govt-revises-regulation-on-peatland-protection.

Antony, A.C. 2012. "Megaloblastic Anemias." In *Hematology: Basic Principles and Practice*, edited by R. Hoffman, E.J. Benz Jr., L.E. Silberstein, H. Heslop, J. Weitz, and J. Anastasi. London: Churchill Livingstone.

Aramark Higher Education. 2008. "The Business and Cultural Acceptance Case for Trayless Dining." http://www.aramarkhighered.com/assets/docs/whitepapers/ARAMARK%20Trayless%20Dining%20July%202008%20FINAL.PDF.

Ariga, J., and T.S. Jayne. 2011. "Fertilizer in Kenya: Factors Driving the Increase in Usage by Smallholder Farmers." In *Yes Africa Can: Success Stories from a Dynamic Continent*, edited by P. Chuhan-Pole and M. Angwafo. Washington, DC: World Bank.

Armstrong, B., and R. Doll. 1975. "Environmental Factors and Cancer Incidence and Mortality in Different Countries, with Special Reference to Dietary Practices." *International Journal of Cancer* 15: 617-631.

Arnold, H., and T. Pickard. 2013. *Sustainable Diets: Helping Shoppers*. London: IGD (Institute of Grocery Distribution).

Arriagada, R.A., P. J. Ferraro, S.K. Pattanayak, and S. Cordero-Sancho. 2012. "Do Payments for Environmental Services Affect Forest Cover? A Farm-Level Evaluation from Costa Rica." *Land Economics* 88 (2): 382-399.

Arslan, A., N. McCarthy, L. Lipper, S. Asfaw, and A. Cattaneo. 2013. "Adoption and Intensity of Adoption of Conservation Farming Practices in Zambia." *Agriculture, Ecosystems & Environment*. Paper no. 71. http://saipar.org:8080/eprc/bitstream/handle/123456789/24/IAPRI\_Adoption%20and%20Intensity%20of%20Adoption%20of%20Conservation%20Farming\_Feb.%202013.pdf?sequence=3.

Arslan, A., N. McCarthy, L. Lipper, S. Asfaw, A. Cattaneo, and M. Kokwe. 2014. "Food Security and Adaptation Impacts of Potential Climate Smart Agricultural Practices in Zambia." ESA Working Paper no. 14-13. Rome: FAO (Food and Agriculture Organization of the United Nations).

Arslan, A., N. McCarthy, L. Lipper, S. Asfaw, A. Cattaneo, and M. Kokwe. 2015. "Climate Smart Agriculture? Assessing the Adaptation Implications in Zambia." *Journal of Agricultural Economics* 66 (3): 753-780. doi:10.1111/1477-9552.12107.

Asche, F. 2008. "Farming the Sea." *Marine Resource Economics* 23: 527-547.

Asner, G., and S. Archer. 2010. "Livestock and the Global Carbon Cycle." In *Livestock in a Changing Landscape*, edited by H. Steinfeld, H.A. Mooney, F. Schneider, and L.E. Neville. Vol. 1. Washington, DC: Island.

Asseng, S., I. Foster, and N.C. Tuner. 2011. "The Impact of Temperature Variability on Wheat Yields." *Global Change Biology* 17: 997-1012.

Assunção, J., C. Gandour, and R. Rocha. 2012. "Deforestation Slowdown in the Legal Amazon: Prices or Policies?" Climate Policy Initiative working paper. Rio de Janeiro: Climate Policy Initiative.

Assunção, J., C. Gandour, and R. Rocha. 2013. "Does Credit Affect Deforestation? Evidence from a Rural Credit Policy in the Brazilian Amazon." Rio de Janeiro: Climate Policy Initiative.

Atanasiu, B. 2010. *The Role of Bioenergy in the National Renewable Energy Action Plans: A First Identification of Issues and Uncertainties*. London: Institute for European Environmental Policy.

Atlin, G.N., J.E. Cairns, and B. Das. 2017. "Rapid Breeding and Varietal Replacement Are Critical to Adaptation of Cropping Systems in the Developing World to Climate Change." *Global Food Security* 12: 31-37.

Aune, J.B., and A. Bationo. 2008. "Agricultural Intensification in the Sahel: The Ladder Approach." *Agricultural Systems* 98: 119-125.

Austin, K., F. Stolle, and S. Sheppard. 2012. "Indonesia's Moratorium on New Forest Concessions." Washington, DC: World Resources Institute.

Ausubel, J., I.K. Wernick, and P.E. Waggoner. 2012. "Peak Farmland and the Prospect for Land Sparing." *Population and Development Review* 38 (supplement): 217-238.

Averill, C., B.L. Turner, and A.C. Finzi. 2014. "Mycorrhiza-Mediated Competition between Plants and Decomposers Drives Soil Carbon Storage." *Nature* 505: 543-546.
Azhar, B., D. Lindenmayer, J. Wood, J. Fischer, A. Manning, C. McElhinny, and M. Zakaria. 2011. "The Conservation Value of Oil Palm Plantation Estates, Smallholdings and Logged Peat Swamp Forest for Birds." *Forest Ecology and Management* 262 (12): 2306-2315.

Babcock, B., and Z. Iqbal. 2014. "Using Recent Land Use Changes to Validate Land Use Change Models." *Staff Report 14-SR 109*. Ames: Iowa State University Center for Agricultural and Rural Development.

Bachewe, F.N., G. Berhane, B. Minten, and A. Seyoum Taffesse. 2015. "Agricultural Growth in Ethiopia (2004-2014): Evidence and Drivers." EDRI and IFPRI working paper. http://www.ifpri.org/publication/agricultural-growth-ethiopia-2004-2014-evidence-and-drivers.

Bacon, L., and D. Krpan. 2018. "(Not) Eating for the Environment: The Impact of Restaurant Menu Design on Vegetarian Food Choice." *Appetite* 125: 190-200.

Badini, O., C.O. Stockle, J.W. Jones, R. Nelson, A. Kodio, and M. Keita. 2007. "A Simulation-Based Analysis of Productivity and Soil Carbon in Response to Time-Controlled Rotational Grazing in West African Sahel Region." *Agricultural Systems* 94: 87-96.

Bai, Z.G., D.L. Dent, L. Olsson, and M.E. Schaepman. 2008. "Global Assessment of Land Degradation and Improvement." *Report 2008/01*. Washington, DC: International Soil Reference and Information Centre (ISRIC).

Bai, Z., L. Ma, S. Jin, W. Ma, G.L. Velthof, O. Oenema, L. Liu, et al. 2016. "Nitrogen, Phosphorus, and Potassium Flows through the Manure Management Chain in China." *Environmental Science & Technology* 50 (24): 13409-13418.

Bailey, R., and D. R. Harper. 2015. "Reviewing Interventions for Healthy and Sustainable Diets." London: Chatham House, Royal Institute of International Affairs.

Bailey, R., A. Froggatt, and L. Wellesley. 2014. "Livestock—Climate Change's Forgotten Sector: Global Public Opinion on Meat and Dairy Consumption." London: Chatham House, Royal Institute of International Affairs.

Bajzelj, B., K.S. Richards, J.M. Allwood, P. Smith, J.S. Dennis, E. Curmi, and C.A. Gilligan. 2014. "Importance of Food-Demand Management for Climate Mitigation." *Nature Climate Change* 4: 924-929.

Baka, J., and R. Bailis. 2014. "Wasteland Energy-Scapes: A Comparative Energy Flow Analysis of India's Biofuel and Biomass Economies." *Ecological Economics* 108 (December): 8-17.

Bakalar, N. 2006. "38 Million Sharks Killed for Fins Annually, Experts Estimate." *National Geographic*, October 12. http://news.nationalgeographic.com/news/2006/10/061012-shark-fin.html.

Baker, J.M., T.E. Ochsner, R.T. Venterea, and T.J. Griffis. 2007. "Tillage and Soil Carbon Sequestration—What Do We Really Know?" *Agriculture, Ecosystems, and Environment* 118: 1-5.

Baldock, D., H. Caraveli, J. Dwyer, S. Einschutz, J.E. Petersen, J. Sumpsi-Vinas, and C. Varela-Ortega. 2000. *The Environmental Impacts of Irrigation in the European Union*. Report to the Environment Directorate of the European Commission. London, Madrid, and Athens: Institute for European Environmental Policy, Polytechnical University of Madrid, and University of Athens.

Ballis, R., M. Ezzati, and D.M. Kammen. 2005. "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa." *Science* 308 (5718): 98-103.

Baributsa, D., I. Baoua, J. Lowenberg-DeBoer, T. Abdoulaye, and L.L. Murdock. 2012. "Purdue Improved Cowpea Storage (PICS) Technology." http://extension.entm.purdue.edu/publications/E-262.pdf.

Barneze, A.S., A.M. Mazzetto, C.F. Zani, T. Misselbrook, and C.C. Cerri. 2014. "Nitrous Oxide Emissions from Soil Due to Urine Deposition by Grazing Cattle in Brazil." *Atmospheric Environment* 92: 394-397.

Barona, E., N. Ramankutty, G. Hyman, and O. Coomes. 2010. "The Role of Pasture and Soybean in Deforestation of the Brazilian Amazon." *Environmental Research Letters* 5 (024002).

Barrangou, R., and J. Doudna. 2016. "Applications of CRISPR Technologies in Research and Beyond." *Nature Biotechnology* 34: 933-941.

Barreto, P., and D. Silva. 2010. "Will Cattle Ranching Continue to Drive Deforestation in the Brazilian Amazon?" Paper presented at the International Conference on Environment and Natural Resources Management in Developing and Transition Economies, November 18-19, Clermont-Ferrand, France.

Bationo, A., A. Hartemink, O. Lungu, M. Naimi, P. Okoth, E. Smaling, and L. Thiombiano. 2006. "African Soils: Their Productivity and Profitability for Fertilizer Use." Background paper for the Africa Fertilizer Summit, June 9-13, Abuja, Nigeria.

Bationo, A., B. Waswa, J. Kihara, and J. Kimetu, eds. 2007. "Advances in Integrated Soil Fertility Management in Sub-Saharan Africa: Challenges and Opportunities." Dordrecht, the Netherlands: Springer.

Battisti, D.S., and R.L. Naylor. 2009. "Historical Warnings of Future Food Insecurity with Unprecedented Seasonal Heat." *Science* 323: 240-244.

Bauen, M. 2009. "Bioenergy—A Sustainable and Reliable Energy Source. A Review of Status and Prospects." Paris: International Energy Agency (IEA).

Bautista, J.M., H. Kim, D.-H. Ahn, R. Zhang, and Y.-S. Oh. 2011. "Changes in Physicochemical Properties and Gaseous Emissions of Composting Swine Manure Amended with Alum and Zeolite." *Korean Journal of Chemical Engineering* 28 (1): 189-194. doi: 10.1007/s11814-010-0312-6.

Bbaale, E., and A. Guloba. 2011. "Maternal Education and Childbirth Care in Uganda." *Australasian Medical Journal* 4 (7): 389-399.

Bbaale, E., and P. Mpuga. 2011. "Female Education, Contraceptive Use, and Fertility: Evidence from Uganda." *Consilience: The Journal of Sustainable Development* 6 (1): 20-47.

Beach, R.H., J. Creason, S.B. Ohrel, S. Ragnauth, S. Ogle, C. Li, P. Ingraham, and W. Salas. 2015. "Global Mitigation Potential and Costs of Reducing Agricultural Non-CO₂ Greenhouse Gas Emissions through 2030." *Journal of Integrative Environmental Sciences* 12: 87-105.

Beattie, G., L. McGuire, and L. Sale. 2010. "Do We Actually Look at the Carbon Footprint of a Product in the Initial Few Seconds? An Experimental Analysis of Unconscious Eye Movements." *International Journal of Environmental, Cultural, Economic, and Social Sustainability* 6: 47-65.

Beebe, S. n.d. "Successes and Challenges in Improving Common Bean Productivity." Cali, Colombia: International Center for Tropical Agriculture. http://www.cgiar.org/www-archive/www.cgiar.org/pdf/Beebe-%20Summary-Challenges%20in%20Bean%20improvement.pdf.

Beintema, N., G.-J. Stads, K. Fuglie, P. Heisey. 2012. "ASTI Global Assessment of Agricultural R&D Spending: Developing Countries Accelerate Investment." Washington, DC: International Food Policy Research Institute, Agricultural Science and Technology Indicators, and Global Forum on Agricultural Research.
Belder, P., B.A.M. Bouman, R. Cabangon, L. Guoan, E.J.P. Quilang, L. Yuanhua, J.H.J. Spiertz, and T.P. Tuong. 2004. "Effect of Water-Saving Irrigation on Rice Yield and Water Use in Typical Lowland Conditions in Asia." *Agricultural Water Management* 65 (3): 193-210.

Bellemare, M. 2015. "Contract Farming: What's in It for Smallholder Farmers in Developing Countries?" *Choices* 30 (3): 1-4.

Bello, D. 2013. "Cultured Beef: Do We Really Need a $380,000 Burger Grown in Petri Dishes?" *Scientific American*, August 5. http://blogs.scientificamerican.com/observations/2014/08/05/cultured-beef-a-380000-burger-grown-in-petri-dishes/.

Belton, B., M.M. Haque, and D.C. Little. 2012. "Does Size Matter? Reassessing the Relationship between Aquaculture and Poverty in Bangladesh." *Journal of Development Studies* 48 (7): 904-922.

Benbrook, C. 2012. "Impacts of Genetically Engineered Crops on Pesticide Use in the U.S.: The First Sixteen Years." *Environmental Sciences Europe* 24: 24.

Benbrook, C.M. 2016. "Trends in Glyphosate Herbicide Use in the United States and Globally." *Environmental Sciences Europe* 28 (1): 3. doi:10.1186/s12302-016-0070-0.

Benítez, P.C., I. McCallum, M. Obersteiner, and Y. Yamagata. 2004. *Global Supply for Carbon Sequestration: Identifying Least-Cost Afforestation Sites under Country Risk Considerations*. IIASA Interim Report IR-04-022. Laxenburg, Austria: IIASA (International Institute for Applied Systems Analysis).

Bentley, J. 2015. "Calculating Manure's Price Tag." *Hoard's Dairyman: Crops and Forages*. Fort Atkinson, WI: Hoard's Dairyman.

Bentley, J. 2017. "U.S. Per Capita Availability of Red Meat, Poultry, and Fish Lowest since 1983." *Amber Waves*, February 6. Washington, DC: U.S. Department of Agriculture, Economic Research Service. https://www.ers.usda.gov/amber-waves/2017/januaryfebruary/us-per-capita-availability-of-red-meat-poultry-and-fish-lowest-since-1983/.

Bento, A.M., K.D. Roth, and Y. Wang. 2015. "The Impact of CAFE Standards on Innovation in the US Automobile Industry." Agricultural & Applied Economics Association and Western Agricultural Economics Association Annual Meeting, San Francisco, July 26-28.

Berglund, M., and P. Börjesson. 2006. "Environmental Systems Analysis of Biogas Systems. Part I: Fuel-Cycle Emissions." *Biomass and Bioenergy* 30 (5): 469-485.

Berners-Lee, M., C. Kennelly, R. Watson, and C.N. Hewitt. 2018. "Current Global Food Production Is Sufficient to Meet Human Nutritional Needs in 2050 Provided There Is Radical Societal Adaptation." *Elementa: Science of the Anthropocene* 6 (1): 52.

Bernier, P., and D. Paré. 2013. "Using Ecosystem CO₂ Measurements to Estimate the Timing and Magnitude of Greenhouse Gas Mitigation Potential of Forest Bioenergy." *Global Change Biology Bioenergy* 5: 67-72.

Berry, S. 2011. *Biofuel Policy and Empirical Inputs to GTAP Models*. Report to the California Air Resources Board (CARB). Sacramento: CARB.

Berry, S., and W. Schlenker. 2011. *Empirical Evidence on Crop Yield Elasticities*. Report of the International Council on Clean Transportation. Washington, DC: International Council on Clean Transportation.

Bessau, P., S. Graham, and T. Christopherson, eds. 2018. *Restoring Forests and Landscapes: The Key to a Sustainable Future*. Vienna: Global Partnership on Forest and Landscape Restoration.

Beveridge, M.C.M., and R.E. Brummett. 2013. "Impacts of and on Fisheries—Aquaculture." In *The Ecology of Freshwater Fisheries*, edited by J.F. Craig. Hoboken, NJ: Wiley-Blackwell.

Bhatia, A., N. Jain, and H. Pathak. 2013. "Methane and Nitrous Oxide Emissions from Indian Rice Paddies, Agricultural Soils and Crop Residue Burning." *Greenhouse Gases: Science and Technology* 3 (3): 196-211.

Biancalani, R., and A. Avagyan. 2014. *Towards Climate-Responsible Peatlands Management: Mitigation of Climate Change in Agriculture Series 9*. Rome: FAO (Food and Agriculture Organization of the United Nations).

Bijl, D.L., P.W. Bogaart, S.C. Dekker, E. Stehfest, B.J.M. de Vries, and P. van Vuuren. 2017. "A Physically-Based Model of Long-Term Food Demand." *Global Environmental Change* 45: 47-62.

Bindraban, P.S., C. Dimkpa, L. Nagarajan, A. Roy, and R. Rabbinge. 2015. "Revisiting Fertilisers and Fertilization Strategies for Improved Nutrient Uptake by Plants." *Biology and Fertility of Soils* 51 (8): 897-911.

Binnie, M.A., K. Barlow, V. Johnson, and C. Harrison. 2014. "Red Meats: Time for a Paradigm Shift in Dietary Advice." *Meat Science* 98: 445-451.

Birds Eye. 2015. "Leading the Way in Sustainable Fisheries Development." http://www.birdseye.co.uk/forever-food-together/casestudies/casestudy3.

Birkenbach, A.M., D. J. Kaczan, and M.D. Smith. 2017. "Catch Shares Slow the Race to Fish." *Nature* 544: 223-226.

Bittman, M. 2012. "A Chicken without Guilt." *New York Times*, March 11. http://www.nytimes.com/2012/03/11/opinion/sunday/finally-fake-chicken-worth-eating.html.

Bittman, M. 2013. "How to Feed the World." *New York Times*, October 14. http://www.nytimes.com/2013/10/15/opinion/how-to-feed-the-world.html.

Black, J. 2014. "The Meat-Mushroom Blend Makes Sense." *Washington Post*, August 1. https://www.washingtonpost.com/lifestyle/food/the-meat-mushroom-blend-makes-sense/2014/08/01/769884e6-0e9b-11e4-b8e5-d0de80767fc2_story.html.

Blackman, A., L. Corral, E.S. Lima, and G.P. Asner. 2017. "Titling Indigenous Communities Protects Forests in the Peruvian Amazon." *Proceedings of the National Academy of Sciences of the United States of America* 114 (16): 4123-4128.

Blake, S., S. Strindberg, P. Doudjan, C. Makombo, I. Bila-Isia, O. Ilambu, F. Grossmann, et al. 2007. "Forest Elephant Crisis in the Congo Basin." *PLoS Biology* 5 (4): e111.

Blanco-Canqui, H., and R. Lal. 2008. "No-Tillage and Soil-Profile Carbon Sequestration: An On-Farm Assessment." *Soil Science Society of America Journal* 72: 693-701.

Blanco-Canqui, H., and R. Lal. 2009. "Crop Residue Removal Impacts on Soil Productivity and Environmental Quality." *Critical Reviews in Plant Sciences* 28: 139-163.

Blas, J., and W. Wallis. 2009. "Buyer Sees Profit in Warlord's Land." *Financial Times*, January 2.

Bloom, J. 2011. *American Wasteland: How America Throws Away Nearly Half of Its Food (and What We Can Do About It)*. New York: Da Capo Lifelong.

Bloom, D.E., and D. Canning. 2004. "Global Demographic Change: Dimensions and Economic Significance." Paper presented at Federal Reserve Bank of Kansas City symposium on *Global Demographic Change: Economic Impacts and Policy Challenges*, August 26-28, Jackson Hole, WY.
Bloom, D.E., and J.G. Williamson. 1998. "Demographic Transitions and Economic Miracles in Emerging Asia." *World Bank Economic Review* 12 (3): 419–455.

Bloom, D.E., D. Canning, and P. Malaney. 2000. "Demographic Change and Economic Growth in Asia." *Population and Development Review* 26: 257–90.

Bloom, D.E., D. Canning, and J. Sevilla. 2003. *The Demographic Dividend: A New Perspective on the Economic Consequences of Population Change*. Santa Monica, CA: RAND.

BLS (U.S. Bureau of Labor Statistics, U.S. Department of Labor). 2015. "Average Retail Food and Energy Prices, U.S. and Midwest Region." Washington, DC: BLS. http://www.bls.gov/regions/mid-atlantic/data/AverageRetailFoodAndEnergyPrices_USandMidwest_Table.htm.

Blummel, M., F.R. Bidinger, and C.T. Harsh. 2008. "Management and Cultivar Effects on Ruminant Nutritional Quality of Pearl Millet (*Pennisetum glaucum* (L.) R. Br.) Stover: II. Effects of Cultivar Choice on Stover Quality and Productivity." *Field Crops Research* 103: 129–138.

Blummel, M., M. Samad, O. Singh, and T. Amede. 2009. "Opportunities and Limitations of Food-Feed Crops for Livestock Feeding and Implications for Livestock-Water Productivity." *Rangeland Journal* 31: 207–12.

Bobenrieth, E., B. Wright, and D. Zeng. 2013. "Stocks-to-Use Ratios and Prices as Indicators of Vulnerability to Spikes in Global Cereal Markets." *Agricultural Economics* 44: 43–52.

Boddey, R.M., R. Macedo, R.M. Tarré, E. Ferreira, O.C. de Oliveira, C. de P. Rezende, R.B. Cantarutti, et al. 2004. "Nitrogen Cycling in Brachiaria Pastures: The Key to Understanding the Process of Pasture Decline." *Agriculture, Ecosystems, and Environment* 103 (2): 389–403.

Boddey, R.M., C.P. Jantalia, J.A. Zanatta, P.C. Conceição, C. Bayer, J. Mielniczuk, J. Dieckow, et al. 2010. "Carbon Accumulation at Depth in Ferralsols under Zero-Till Subtropical Agriculture in Southern Brazil." *Global Change Biology* 16 (2): 784–795.

Bodirsky, B.L., A. Popp, H. Lotze-Campen, J.P. Dietrich, S. Rolinski, I. Weindl, C. Schmitz, et al. 2014. "Reactive Nitrogen Requirements to Feed the World in 2050 and Potential to Mitigate Nitrogen Pollution." *Nature Communications* 5: 3858.

Bodirsky, B.L., S. Rolinski, A. Biewald, I. Weindl, A. Popp, and H. Lotze-Campen. 2015. "Global Food Demand Scenarios for the 21st Century." *PLOS ONE* 10 (11). doi: 10.1371/journal.pone.0139201.

Bolaños, J., and G.O. Edmeades. 1996. "The Importance of the Anthesis-Silking Interval in Breeding for Drought Tolerance in Tropical Maize." *Field Crops Research* 48 (1): 65–80.

Bongaarts, J. 2005. "The Causes of Stalling Fertility Transitions." Working paper. New York: Population Council.

Bonn, A., T. Allott, M. Evans, H. Joosten, and R. Stoneman. 2016. *Peatland Restoration and Ecosystem Services: Science, Policy, and Practice*. Cambridge: Cambridge University Press.

Bonn Challenge. 2019. "Commitments." http://www.bonnchallenge.org/.

Borchers, A., E. Truex-Powell, S. Wallander, and C. Nickerson. 2014. "Multi-cropping Practices: Recent Trends in Double Cropping." *Economic Information Bulletin* 125. Washington, DC: USDA (U.S. Department of Agriculture).

Borger, J. 2008. "Rich Countries Launch Great Land Grab to Safeguard Food Supplies." *Guardian*, November 22. http://www.theguardian.com/environment/2008/nov/22/food-biofuels-land-grab.

Borras, S.M., J.C. Franco, D. Carranza, and M.L. Alano. 2011. "The Fundamentally Flawed 'Marginal Lands' Narrative: Insights from the Philippines." April. https://www.future-agricultures.org/news/the-fundamentallyflawed-marginal-lands-narrative-insights-from-the-philippines/.

Bosma, R. H., C. T. T. Hang, and J. Potting. 2009. *Environmental Impact Assessment of the Pangasius Sector in the Mekong Delta*. Wageningen, The Netherlands: Wageningen University.

Bot, A., and J. Benites. 2005. "The Importance of Soil Organic Matter." *FAO Soils Bulletin* 80. Rome: FAO (Food and Agriculture Organization of the United Nations).

Botoni, E., and C. Reij. 2009. "La transformation silencieuse de l'environnement et des systèmes de production au Sahel: Impacts des investissements publics et privés dans la gestion des ressources naturelles." Ouagadougou, Burkina Faso, and Amsterdam: Comite Permanent Inter-États pour la Lutte contre la Sécheresse au Sahel and Vrije Universiteit Amsterdam.

Boucher, D., P. Elias, K. Lininger, C. May-Tobin, S. Roquemore, and E. Saxon. 2011. *The Root of the Problem: What's Driving Tropical Deforestation Today?*. Washington, DC: Union of Concerned Scientists.

Boudsocq, S., A. Niboyet, J.C. Latam, X. Raynaud, N. Loeuille, J. Mathieu, M. Blouin, et al. 2012. "Plant Preference for Ammonium versus Nitrate: A Neglected Determinant of Ecosystem Functioning." *American Naturalist* 180: 60–84.

Bouman, B.A.M., and T.P. Tuong. 2001. "Field Water Management to Save Water and Increase Its Productivity in Irrigated Lowland Rice." *Agricultural Water Management* 49 (1): 11–30.

Bouman, B.A.M., L. Feng, T.P. Tuong, G. Lu, H. Wang, and Y. Feng. 2007. "Exploring Options to Grow Rice Using Less Water in Northern China Using a Modelling Approach. II. Quantifying Yield, Water Balance Components, and Water Productivity." *Agricultural Water Management* 88 (1): 23–33.

Bouvard, V., D. Loomis, K.Z. Guyton, Y. Grosse, F. El Ghissassi, L. Benbrahim-Tallaa, N. Guha, et al. 2015. "Carcinogenicity of Consumption of Red and Processed Meat." *Lancet Oncology*, published online October 26. Paper prepared on behalf of the International Agency for Research on Cancer Monograph Working Group. http://dx.doi.org/10.1016/S1470-2045(15)00444-1.

Bouwman, L., K. van der Hoek, G. van Drecht, and B. Eickhout. 2006. "World Livestock and Crop Production Systems, Land Use and Environment between 1970 and 2030." *Environment & Policy* 46: 75–89.

Bouwman, A. F., A. H. W. Beusen, C. C. Overbeek, D. P. Bureau, M. Pawlowski, and P. M. Glibert. 2013. "Hindcasts and Future Projections of Global Inland and Coastal Nitrogen and Phosphorus Loads Due to Finfish Aquaculture." *Reviews in Fisheries Science* 21 (2): 112–156.

Boval, M., and R.M. Dixon. 2012. "The Importance of Grasslands for Animal Production and Other Functions: A Review on Management and Methodological Progress in the Tropics." *Animal* 6 (5): 748–762.

Boval, M., H. Archimede, P. Cruz, and M. Duru. 2007. "Intake and Digestibility in Heifers Grazing a *Dichanthium spp*. Dominated Pasture, at 14 and 28 Days of Regrowth." *Animal Feed Science and Technology* 700 134(1/2): 18–31.

Bowman, M., B. Soares-Filho, F. Merry, D. Nepstad, H. Rodrigues, and O. Almeida. 2012. "Persistence of Cattle Ranching in the Brazilian Amazon: A
Spatial Analysis of the Rationale for Beef Production." *Land Use Policy* 29 (3): 558-568.

Boyd, W., C. Stickler, A. Duchelle, F. Seymour, N. Bahar, and D. Rodriguez-Ward. 2018. "Jurisdictional Approaches to REDD+ and Low Emissions Development: Progress and Prospects." Working paper. Washington, DC: World Resources Institute.

Brack, D., and J. Hewitt. 2014. "Global Biomass Project: Scoping Paper: The Impacts on Global Forests of the Demand for Biomass for Power and Heat." Unpublished monograph.

Branca, G., N. McCarthy, L. Lipper, and M.C. Jolejole. 2011. *Climate-Smart Agriculture: A Synthesis of Empirical Evidence of Food Security and Mitigation Benefits from Improved Cropland Management*. Rome: FAO (Food and Agriculture Organization of the United Nations).

Brautigam, D. 2015. *Will Africa Feed China?* New York: Oxford University Press.

Bravo, S. 2003. "Sea Lice in Chilean Salmon Farms." *Bulletin of the European Association of Fish Pathologists* 23 (4): 197-200.

Braz, S.P., S. Urquiaga, B. Alves, C. Jantalia, A. Guimarães, C. dos Santos, S. dos Santos, et al. 2013. "Soil Carbon Stocks under Productive and Degraded Brachiaria Pastures in the Brazilian Cerrado." *Soil Science Society of America Journal* 77 (3): 914-928.

Bregnballe, J. 2015. *A Guide to Recirculation Aquaculture: An Introduction to the New Environmentally Friendly and Highly Productive Closed Fish Farming Systems*. Rome: FAO and EUROFISH International Organisation.

Brinsden, H.C., F.J. He, K.H. Jenner, and G.A. MacGregor. 2013. "Surveys of the Salt Content in UK Bread: Progress Made and Further Reductions Possible." *BMJ Open* 3: e002936.

Brinson, A.A. and E.M. Thunberg. 2013. "The Economic Performance of U.S. Catch Share Programs." U.S. Department of Commerce, NOAA Technical Memorandum NMFS-F/SPO-133.

Brisson, N., P. Gate, D. Gouache, G. Charmet, F. Oury, and F. Huard. 2010. "Why Are Wheat Yields Stagnating in Europe? A Comprehensive Data Analysis for France." *Field Crops Research* 119 (1): 201-212.

Bronson, K.F., H.-U. Neue, U. Singh, and E.B. Abao. 1997. "Automated Chamber Measurements of Methane and Nitrous Oxide Flux in a Flooded Rice Soil: I. Residue, Nitrogen, and Water Management." *Soil Science Society of America Journal* 61: 981-987.

Brooke, C., B.M. Roque, N. Najafi, M. Gonzalez, A. Pfefferlen, V. DeAnda, D.W. Ginsburg, et al. 2018. "Evaluation of the Potential of Two Common Pacific Coast Macroalgae for Mitigating Methane Emissions from Ruminants." *BioRxiv*. https://doi.org/10.1101/434480.

Browdy, C.L., G. Hulata, Z. Liu, G.L. Allan, C. Sommerville, T. Passos de Andrade, R. Pereira, et al. 2012. "Novel and Emerging Technologies: Can They Contribute to Improving Aquaculture Sustainability?" In *Farming the Waters for People and Food: Proceedings of the Global Conference on Aquaculture 2010, Phuket, Thailand, 22-25 September 2010*, edited by R.P. Subasinghe, J.R. Arthur, D.M. Bartley, S.S. De Silva, M. Halwart, N. Hishamunda, C.V. Mohan, and P. Sorgeloos, 149-191. Rome and Bangkok: FAO and NACA.

Brown, L. 2009. *Plan B 4.0: Mobilizing to Save Civilization*. New York: Norton.

Brown, N. 2014. "Half of Brits Are Trying to Drink Less—but Booze Sales Are Up." *Grocer*, October 31. http://www.thegrocer.co.uk/reports/digital-features/alcohol-report-2014/half-of-brits-are-trying-to-drink-less-but-booze-sales-are-up/372782.article.

Bruinsma, J. 2009. *The Resource Outlook to 2050: By How Much Do Land, Water and Crop Yields Need to Increase by 2050?* Rome: FAO (Food and Agriculture Organization of the United Nations).

Brummett, R.E., J. Lazard, and J. Moehl. 2008. "African Aquaculture: Realizing the Potential." *Food Policy* 33: 371-385.

Bruun, S., L.S. Jensen, V.T.K. Vu, and S. Sommer. 2014. "Small-Scale Household Biogas Digesters: An Option for Global Warming Mitigation or a Potential Climate Bomb?" *Renewable and Sustainable Energy Reviews* 33: 736-741.

Bryan, E., C. Ringler, B. Okoba, J. Koo, M. Herrero, and S. Silvestri. 2011. *Agricultural Land Management: Capturing Synergies among Climate Change Adaptation, Greenhouse Gas Mitigation, and Agricultural Productivity*. Washington, DC: IFPRI (International Food Policy Research Institute).

Bryngelsson, D., S. Wirsenius, F. Hedenus, and U. Sonesson. 2016. "How Can the EU Climate Targets Be Met? A Combined Analysis of Technological and Demand-Side Changes in Food and Agriculture." *Food Policy* 59: 152-164.

Buckingham, K., and C. Hanson. 2015a. "The Restoration Diagnostic—Case Example: Costa Rica." Washington, DC: WRI (World Resources Institute).

Buckingham, K., and C. Hanson. 2015b. "The Restoration Diagnostic—Case Example: South Korea." Washington, DC: WRI (World Resources Institute).

Buckland, G., A. Agudo, N. Travier, J.M. Huerta, L. Cirera, and M.J. Tormo. 2011. "Adherence to the Mediterranean Diet Reduces Mortality in the Spanish Cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Spain)." *British Journal of Nutrition* 106 (10): 1581-1591.

Budidarsono, S., A. Rahmanulloh, and M. Sofiyuddin. 2012. "Economics Assessment of Palm Oil Production." Technical Brief no. 26: Palm Oil Series. Bogor, Indonesia: World Agroforestry Centre (ICRAF, SEA Regional Office).

Bunderson, W.T. 2012. "*Faidherbia albida*: The Malawi Experience." Lilongwe, Malawi: Total LandCare.

Bunn, C., P. Laderach, O. Ovalle Rivera, and D. Kirschke. 2015. "A Bitter Cup: Climate Change Profile of Global Production of Arabica and Robusta Coffee." *Climatic Change* 129 (1-2): 89-101.

Bunting, S.W. 2013. *Principles of Sustainable Aquaculture: Promoting Social, Economic and Environmental Resilience*. London: Routledge.

Bunting, S. W., and J. Pretty. 2007. "Aquaculture Development and Global Carbon Budgets: Emissions, Sequestration and Management Options." Colchester, UK: University of Essex.

Burney, J., S. Davis, and D. Lobell. 2009. "Greenhouse Gas Mitigation by Agricultural Intensification." *Proceedings of the National Academy of Sciences of the United States of America* 107 (26): 12052-12057.

Busch, J., and K. Ferretti-Gallon. 2017. "What Drives Deforestation and What Stops It? A Meta-analysis." *Review of Environmental Economics and Policy* 11 (1): 3-23.

Bush, R. 2009. "Food Riots: Poverty, Power and Protest." *Journal of Agrarian Change* 10 (1): 119-129.

BusinessDictionary. n.d. "Opportunity Cost." http://www.businessdictionary.com/definition/opportunity-cost.html.

Butler, R. 2009. "Brazilian Beef Giants Agree to Moratorium on Amazon Deforestation." *Mongabay*. http://news.mongabay.com/2009/10/brazilian-beef-giants-agree-to-moratorium-on-amazon-deforestation/.
Butler, R. 2013. "In Landmark Ruling, Indonesia's People Win Right to Millions of Hectares of Forest." *Mongabay*, May 17. https://news.mongabay.com/2013/05/in-landmark-ruling-indonesias-indigenous-people-win-right-to-millions-of-hectares-of-forest/.

Butler, E.E., and P. Huybers. 2015. "Variations in the Sensitivity of U.S. Maize Yield to Extreme Temperatures by Region and Growth Phase." *Environmental Research Letters* 10.

Butler, R. 2017. "Calculating Deforestation Figures for the Amazon." Blog. January 26. http://rainforests.mongabay.com/amazon/deforestationCalculations.html.

Butler, R., L.P. Koh, and J. Ghazoul. 2009. "REDD in the Red: Palm Oil Could Undermine Payment Schemes." *Conservation Letters* 2: 67–73.

Buzby, J.C., H. F. Wells, and J. Hyman. 2014. *The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States*. Washington, DC: USDA Economic Research Service.

Byamugisha, F. 2013. *Securing Africa's Land for Shared Prosperity: A Program to Scale Up Reforms and Investments*. Washington, DC: World Bank.

Byrnes, R. C., J. Núñez, L. Arenas, I. Rao, C. Trujillo, C. Alvarez, J. Arango, et al. 2017. "Biological Nitrification Inhibition by *Brachiaria* Grasses Mitigates Soil Nitrous Oxide Emissions from Bovine Urine Patches. *Soil Biology and Biochemistry* 107: 156–163.

Cacho, O. 2009. "Economics of Carbon Sequestration Projects Involving Smallholders." *Natural Resource Management and Policy* 31: 77–102.

Cai, J., C. Jolly, N. Hishamunda, N. Ridler, C. Ligeon, and P. Leung. 2012. "Review on Aquaculture's Contribution to Socio-economic Development: Enabling Policies, Legal Framework and Partnership for Improved Benefits." In *Farming the Waters for People and Food*, edited by R.P. Subasinghe, J.R. Arthur, D.M. Bartley, S.S. De Silva, M. Halwart, N. Hishamunda, C.V. Mohan, and P. Sorgeloos. Proceedings of the Global Conference on Aquaculture 2010, Phuket, Thailand, September 22–25, 2010. Rome and Bangkok: FAO and NACA, 265–302.

Cai, X., X. Zhang, and D. Wang. 2011. "Land Availability for Biofuel Production." *Environmental Science and Technology* 45 (1): 334–339.

California Rice Research Board. 2014. "Improving Fertilizer Guidelines for California's Rice Climate, 2013." http://www.carrb.com/13rpt/Fertilizer.html.

Calle, Z., E. Murgueitio, J. Chará, C.H. Molina, A.F. Zuluaga, and A. Calle. 2013. "A Strategy for Scaling-Up Intensive Silvopastoral Systems in Colombia." *Journal of Sustainable Forestry* 32 (7): 677–693.

Calvo-Alvarado, J., B. McLennan, A. Sanchez-Azofeifa, and T. Garvin. 2009. "Deforestation and Forest Restoration in Guanacaste, Costa Rica: Putting Conservation Policies in Context." *Forest Ecology and Management* 258: 931–940.

Calzadilla, A., K. Rehdanz, R. Betts, P. Falloon, A. Wiltshire, and R.S.J. Tol. 2013. "Climate Change Impacts on Global Agriculture." *Climatic Change* 120 (1): 357–374. doi:10.1007/s10584-013-0822-4.

Cameron, B. 2014. "Creating a Green Republic: Payments for Environmental Services in Costa Rica, 1994–2005." *Innovations for Successful Societies*. Princeton, NJ: Princeton University.

Campbell, B. and D. Pauly. 2013. "Mariculture: A Global Analysis of Production Trends since 1950." *Marine Policy* 39: 94–100.

Campbell, T.C., T.M. Campbell II, H. Lyman, and J. Robbins. 2006. *The China Study: Startling Implications for Diet, Weight Loss and Long-Term Health*. Dallas: BenBella.

Campbell, J.E., D.B. Lobell, R.C. Genova, and C.B. Field. 2008. "The Global Potential of Bioenergy on Abandoned Agricultural Lands." *Environmental Science & Technology* 42 (15): 5791–5794.

Capacci, S., M. Mazzocchi, B. Shankar, J.B. Macias, W. Verbeke, F.J. Perez-Cueto, A. Koziol-Kozakowska, et al. 2012. "Policies to Promote Healthy Eating in Europe: A Structured Review of Policies and Their Effectiveness." *Nutrition Review* 70 (3): 188–200.

Cardoso, A., A. Berndt, A. Leytem, B. Alves, I. de Carvalho, L. de Barros Soares, S. Urquiaga, and R. Boddey. 2016. "Impact of the Intensification of Beef Production in Brazil on Greenhouse Gas Emissions and Land Use." *Agricultural Systems* 143: 86–96.

Carlson, K.M., J.S. Gerber, N.D. Mueller, M. Herrero, G.K. MacDonald, K.A. Brauman, P. Havlík, et al. 2017. "Greenhouse Gas Emissions Intensity of Global Croplands." *Nature Climate Change* 7: 63–68.

Caro, T., A. Dobson, A.J. Marshall, and C.A. Peres. 2014. "Compromise Solutions between Conservation and Road Building in the Tropics." *Current Biology* 24 (16): R722–R725.

Carré, F., R. Hiederer, V. Blujdea, and R. Koeble. 2010. *Background Guide for the Calculation of Land Carbon Stocks in the Biofuels Sustainability Scheme*. Luxembourg: Publications Office of the European Union.

Cashion, T., F. Le Manach, D. Zeller, and D. Pauly. 2017. "Most Fish Destined for Fishmeal Production Are Food-Grade Fish." *Fish and Fisheries* 18 (5): 1–8.

Cassman, K. 1999. "Ecological Intensification of Cereal Production Systems: Yield Potential, Soil Quality, and Precision Agriculture." *Proceedings of the National Academy of Sciences of the United States of America* 96: 5952–5959.

Cassman, K., A. Dobermann, and D.T. Walters. 2002. "Agroecosystems, Nitrogen-Use Efficiency, and Nitrogen Management." *Ambio* 31: 132–140.

Cassou, E. 2018. *Field Burning* (English). Agricultural Pollution. Washington, DC: World Bank Group. http://documents.worldbank.org/curated/en/989351521207797690/Field-Burning.

CAST (Council for Agriculture Science and Technology). 1999. *Animal Agriculture and Global Food Supply*. Ames, Iowa: CAST.

Castle, S. 2017. "As Wild Salmon Decline, Norway Pressures Its Giant Fish Farms." *New York Times*, November 6.

CCAFS. 2016. "Improving Cassava Processing: Less Energy, Higher Efficiency and More Stable Prices." Research Program on Roots, Tubers, and Bananas. http://www.rtb.cgiar.org/blog/2016/09/19/improving-cassava-processing-less-energy-higher-efficiency-stable-prices/.

CDC (Centers for Disease Control and Prevention). 2015. "Nutrition for Everyone: Protein." Atlanta: CDC. http://www.cdc.gov/nutrition/everyone/basics/protein.html.

CEA (California Environmental Associates). 2012. *Charting a Course to Sustainable Fisheries*. San Francisco: CEA.

Cecchini, M., F. Sassi, J.A. Lauer, Y.Y. Lee, V. Guajardo-Barron, and D. Chisholm. 2010. "Tackling of Unhealthy Diets, Physical Inactivity, and Obesity: Health Effects and Cost-Effectiveness." *Lancet* 376: 1775–1784.

Center for Food Safety. 2014. "EPA Approves New 2,4-D Herbicide Blend, Paving Way for Controversial GE Crops." http://www.centerforfoodsafety.org.
org/press-releases/3536/epa-approves-new-24-d-herbicide-blend-paving-way-for-controversial-ge-crops.

Central Water Commission, Government of India. 2010. *Water Year Book*. New Delhi: Government of India.

Cerri, C.C., M.V. Galdos, S.M.F. Maia, M. Bernoux, B.J. Feigl, D. Powlson, and C.E.P. Cerri. 2010. "Effect of Sugarcane Harvesting Systems on Soil Carbon Stocks in Brazil: An Examination of Existing Data." *European Journal of Soil Science* 62 (1): 23-28.

Cervigni, R., and M. Morris, eds. 2016. "Confronting Drought in Africa's Drylands: Opportunities for Enhancing Resilience." Washington, DC: World Bank. http://reliefweb.int/sites/reliefweb.int/files/resources/9781464808173.pdf.

CFS (Center for Food Safety). 2014. "About Genetically Engineered Foods." http://www.centerforfoodsafety.org/issues/311/ge-foods/about-ge-foods.

CGIAR (Consultative Group on International Agricultural Research). 2017. "CGIAR Financial Reports." https://cgspace.cgiar.org/bitstream/handle/10568/97418/2017-CGIAR-Financial-Report-Web.pdf.

CGIAR Research Program on Roots, Tubers and Bananas. 2016. "New Technologies Make Cassava Processing More Efficient and Sustainable." Blog. http://www.rtb.cgiar.org/blog/2016/02/10/new-technologies-make-cassava-processing-more-efficient-and-sustainable/d.

Chaaban, J., and W. Cunningham. 2011. *Measuring the Economic Gain of Investing in Girls: The Girl Effect Dividend*. Policy Research Working Paper 5753. Washington, DC: World Bank.

Chadwick, D.R., L.M. Cardenas, M.S. Dhanoa, N. Donovan, T. Misselbrook, J.R. Williams, R.E. Thorman, et al. 2018. "The Contribution of Cattle Urine and Dung to Nitrous Oxide Emissions: Quantification of Country Specific Emission Factors and Implications for National Inventories." *Science of the Total Environment* 635 (September): 607-617. doi:10.1016/j.scitotenv.2018.04.152.

Challinor, A.J., J. Watson, D.B. Lobell, S.M. Howden, D.R. Smith, and N. Chhetri. 2014. "A Meta-analysis of Crop Yield under Climate Change and Adaptation." *Nature Climate Change* 4: 287-291.

Chambers, A., R. Lal, and K. Paustian. 2016. "Soil Carbon Sequestration Potential of US Croplands and Grasslands: Implementing the 4 per Thousand Initiative." *Journal of Soil and Water Conservation* 71 (3): 68A-74A. doi:10.2489/jswc.71.3.68.

Chand, R., P.A.L. Prasanna, and A. Singh. 2011. "Farm Size and Productivity: Understanding the Strengths of Smallholders and Improving Their Livelihoods." *Economic and Political Weekly* 46: 5-11. http://www.syngentafoundation.org/db/1/983.pdf.

Chang, J., P. Ciais, N. Viovy, N. Vuichard, M. Herrero, P. Havlík, X. Wang, et al. 2016. "Effect of Climate Change, CO₂ Trends, Nitrogen Addition, and Land-Cover and Management Intensity Changes on the Carbon Balance of European Grasslands." *Global Change Biology* 22 (1): 338-350.

Chaplin-Kramer, R., R.P. Sharp, L. Mandle, S. Sim, J. Johnson, I. Butnar, L. Mila i Canals, et al. 2015. "Spatial Patterns of Agricultural Expansion Determine Impacts on Biodiversity and Carbon Storage." *Proceedings of the National Academy of Sciences of the United States of America* 112 (24): 7402-7407.

Chara, J. 2012. Presentation at Pasture Intensification Workshop. Convened by WRI, INRA, and CIRAD. Paris, November.

Charles, D. 2012. "Farmers Face Tough Choices on Ways to Fight New Strains of Weeds." National Public Radio, March 7. http://www.npr.org/blogs/

thesalt/2012/03/07/147656157/farmers-face-tough-choice-on-ways-to-fight-new-strains-of-weeds.

Chauhan, B.S., G. Mahajan, J. Timsina, P.P. Singh, and K. Singh. 2012. "Crop Performance and Water- and Nitrogen-Use Efficiencies in Dry-Seeded Rice in Response to Irrigation and Fertilizer Amounts in Northwest India." *Field Crops Research* 134: 59-70.

Chen, K., and N. Rajewsky. 2007. "The Evolution of Gene Regulation by Transcription Factors and MicroRNAs." *Nature* 8: 93-103.

Chen, X.P., Z.L. Cui, P. Vitousek, K. Cassman, P. Matson, J.S. Bai, Q.F. Meng, et al. 2011. "Integrated Soil-Crop System Management for Food Security." *Proceedings of the National Academy of Sciences of the United States of America* 108 (16): 6399-6404.

Chen, Z., T.J. Griffis, D.B. Millet, J.D. Wood, X. Lee, J.M. Baker, K. Xiao, et al. 2016. "Partitioning N₂O Emissions within the US Corn Belt Using an Inverse Modeling Approach." *Global Biogeochemical Cycles* 30 (8): 1192-1205.

Cheung, W.W.L., V.W.Y. Lam, J.L. Sarmiento, K. Kearney, R. Watson, D. Zeller, and D. Pauly. 2010. "Large-Scale Redistribution of Maximum Fisheries Potential in the Global Ocean under Climate Change." *Global Change Biology* 16: 24-35.

Cheung, W.W.L., J.L. Sarmiento, J. Dunne, T. Frölicher, V.W.Y. Lam, M.L.D. Palomares, R. Watson, and D. Pauly. 2013. "Shrinking of Fishes Exacerbates Impacts of Global Ocean Changes on Marine Ecosystems." *Nature Climate Change* 3: 254-258.

Chidumayo, E.N., and D.J. Gumbo. 2013. "The Environmental Impacts of Charcoal Production in Tropical Ecosystems of the World: A Synthesis." *Energy for Sustainable Development* 17 (2): 86-94.

*China Daily*. 2012. "Shark Fins Off Official Receptions' Menus Soon." July 3. http://www.chinadaily.com.cn/xinhua/2012-07-03/content_6342306.html.

Chomitz, K.M., and D.A. Gray. 1996. "Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize." *World Bank Economic Review* 10: 487-512.

Chowdury, R., S. Warpakula, S. Kunutsor, F. Crowe, H. Ward, L. Johnson, O. Franco, et al. 2014. "Association of Dietary, Circulating, and Supplement Fatty Acids with Coronary Risk: A Systematic Review and Meta-analysis." *Annals of Internal Medicine* 160 (6): 398-406. doi: 10.7326/M13-1788.

Chowdhury, F.A., M.L. Trudeau, H. Guo, and Z. Mi. 2018. "A Photochemical Diode Artificial Photosynthesis System for Unassisted High Efficiency Overall Pure Water Splitting." *Nature Communications* 9 (1): 1707.

Christiaensen, L. 2012. *The Role of Agriculture in a Modernizing Society—Food, Farms and Fields in China 2030*. Washington, DC: World Bank (East Asia & Pacific Sustainable Development Department).

Christiaensen, L., and L. Demery. 2007. *Down to Earth: Agriculture and Poverty Reduction in Africa*. Washington, DC: World Bank.

Chum, H., A. Faaij, J. Moreira, G. Berndes, P. Dharnija, H. Dong, and B. Gabrielle. 2011. "Bioenergy." In *Renewable Energy Sources and Climate Change Mitigation*. Special report of Working Group III of the Intergovernmental Panel on Climate Change, edited by O. Edenhofer, R. Pichs-Madruga, Y. Sokona, K. Seyboth, P. Matschoss, S. Kadner, T. Zwickel, et al. Cambridge: Cambridge University Press.

CIA (Central Intelligence Agency). 2012. *The World Factbook*. McLean, VA: CIA.

CIA. 2013. *The World Factbook*. McLean, VA: CIA. https://www.cia.gov/library/publications/the-world-factbook/.
Ciampitti, I.A., and T.J. Vyn. 2014. "Understanding Global and Historical Nutrient Use Efficiencies for Closing Maize Yield Gaps." *Agronomy Journal* 106 (6): 2107. doi:10.2134/agronj14.0025.

Claassen, R., V. Breneman, S. Bucholtz, A. Cattaneo, R. Johansson, and M. Morehart. 2004. *Environmental Compliance in U.S. Agricultural Policy: Past Performance and Future Potential*. Agricultural Economic Report No. AER-832. U.S. Department of Agriculture, Economic Research Service.

Clark, H., F.M. Kelliher, and C. Pinares. 2011. "Reducing CH₄ Emissions from Grazing Ruminants in New Zealand: Challenges and Opportunities." *Asian Australian Journal of Animal Sciences* 24 (2): 295-302.

Clarke, L., K. Jiang, K. Akimoto, M. Babiker, G. Blanford, K. Fisher-Vanden, J.-C. Hourcade, et al. 2014. "Assessing Transformation Pathways." In *Climate Change 2014: Mitigation of Climate Change*, edited by O. Edenhofer, R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, et al. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

Climate Analysis Indicators Tool (CAIT). 2017. "Historical Emissions." http://cait.wri.org.

Climate Focus. 2016. *Progress on the New York Declaration on Forests: Eliminating Deforestation from the Production of Agricultural Commodities—Goal 2 Assessment Report*. Prepared by Climate Focus in cooperation with the NYDF Assessment Coalition with support from the Climate and Land Use Alliance and the Tropical Forest Alliance 2020. Amsterdam: Climate Focus.

Close, D. 2014. "Ground Beef Nation: The Effect of Changing Consumer Tastes and Preferences on the U.S. Cattle Industry." *Rabobank AgFocus*, January 2014. Utrecht, the Netherlands: Rabobank.

Coale, A.J. 1973. "The Demographic Transition." *International Population Conference, Liège, Belgium*. Vol. 1: 53-72. Also published in *Pakistan Development Review* 23 (4): 531-552.

Cohn, A., M. Bowman, D. Zilberman, and K. O'Neill. 2011. "The Viability of Cattle Ranching Intensification in Brazil as a Strategy to Spare Land and Mitigate Greenhouse Gas Emissions." *CCAFS Working Paper* 11. Copenhagen: CCAFS (CGIAR Research Program on Climate Change, Agriculture, and Food Security).

Cohn, A., A. Mosnier, P. Havlík, H. Valin, M. Herrero, E. Schmid, M. O'Hare, and M. Obersteiner. 2014. "Cattle Ranching Intensification in Brazil Can Reduce Global Greenhouse Gas Emissions by Sparing Land from Deforestation." *Proceedings of the National Academy of Sciences of the United States of America* 111: 7236-7241.

Colchero, M.A., B.M. Popkin, J.A. Rivera, and S.W. Ng. 2016. "Beverage Purchases from Stores in Mexico under the Excise Tax on Sugar Sweetened Beverages: Observational Study." *BMJ 2016*: 352:h6704.

Colchester, M., M. Boscolo, A. Contreras Hermosilla, F. Del Gatto, J. Dempsey, G. Lescuyer, K. Obidzinski, et al. 2006. *Justice in the Forest: Rural Livelihoods and Forest Law Enforcement*. Bogor, Indonesia: Center for International Forestry Research (CIFOR).

Colchester, M., and S. Chao, eds. 2011. *Oil Palm Expansion in South East Asia: Trends and Implications for Local Communities and indigenous Peoples*. Moreton-in-Marsh, UK, and Bogor, Indonesia: Forest Peoples Programme and Perkumpula Sawit Watch.

Collier, P. 2008. "The Politics of Hunger: How Illusion and Greed Fan the Food Crisis." *Foreign Affairs* 87 (6): 67. https://www.foreignaffairs.com/articles/2008-11-01/politics-hunger.

Collier, P., and S. Dercon. 2009. "African Agriculture in 50 Years: Smallholders in a Rapidly Changing World." *Proceedings of the Expert Meeting on How to Feed the World in 2050*, June 24-26, Rome. Rome: FAO (Food and Agriculture Organization of the United Nations).

Collins, M., R. Knutti, J. Arblaster, J.-L. Dufresne, T. Fichefet, P. Friedlingstein, X. Gao, et al. 2013. "Long-Term Climate Change: Projections, Commitments and Irreversibility." In *Climate Change 2013: The Physical Science Basis*, edited by T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, et al. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

Committee for Formulation of Agriculture Policy for Punjab State. 2013. "Agriculture Policy for Punjab." Chandigarh, India: Government of Punjab.

Conant, R., K. Paustian, and E.T. Elliot. 2001. "Grassland Management and Conversion into Grassland: Effects on Soil Carbon." *Ecological Applications* 11: 343-355.

Conant, R., M. Easter, K. Paustian, A. Swan, and S. Williams. 2007. "Impacts of Periodic Tillage on Soil C Stocks: A Synthesis." *Soil and Tillage Research* 95 (1-2): 1-10.

Conant, R.T., C.E.P. Cerri, B.B. Osborne, and K. Paustian. 2017. "Grassland Management Impacts on Soil Carbon Stocks: A New Synthesis." *Ecological Applications* 27 (2): 662-668. doi:10.1002/eap.1473.

Consumer Goods Forum. 2014. *Consumer Goods Forum*. http://www.theconsumergoodsforum.com/.

Conway, G. 2016. *One Billion Hungry: Can We Feed the World? Ithaca, NY: Cornell University Press.*

Cooke, M.A. 2018. "An Introduction to Animal Welfare Issues in Aquaculture." *Business of Farm Animal Welfare* 272 (285): 272-285. Routledge, in association with GSE Research.

Cooper, M., C. Gho, R. Leafgren, T. Tang, and C. Messina. 2014. "Breeding Drought-Tolerant Maize Hybrids for the US Corn-Belt: Discovery to Product." *Journal of Experimental Botany* 65 (21): 6191-6204.

Corley, R.H. 2009. "How Much Palm Oil Do We Need?" *Environmental Science and Policy* 12: 134-139.

Cornish Sardine Management Association. 2015. "Historical Background." http://www.cornishsardines.org.uk/historical-background.html.

Corton, T.M., J.B. Jajita, F.S. Grospe, R.R. Pamplona, C.A. Asis Jr., R. Wassmann, R.S. Lantin, and L.V. Buendia. 2000. "Methane Emission from Irrigated and Intensively Managed Rice Fields in Central Luzon (Philippines)." *Nutrient Cycling in Agroecosystems* 58: 37-53.

Corvalán, C., M. Reyes, M.L. Garmendia, and R. Uauy. 2013. "Structural Responses to the Obesity and Noncommunicable Diseases Epidemic: The Chilean Law of Food Labeling and Advertising." *Obesity Reviews* 14: 79-87.

Costa-Pierce, B.A., D.M. Bartley, M. Hasan, F. Yusoff, S.J. Kaushik, K. Rana, D. Lemos, et al. 2012. "Responsible Use of Resources for Sustainable Aquaculture." In *Global Conference on Aquaculture 2010, Sept. 22-25, 2010, Phuket, Thailand*, edited by R. Subasinghe. Rome: FAO (Food and Agriculture Organization of the United Nations).

Costello, C., S.D. Gaines, and J. Lynham. 2008. "Can Catch Shares Prevent Fisheries Collapse?" *Science* 321: 1678-1681.
Costello, C., D. Ovando, R. Hilborn, S.D. Gaines, O. Deschenes, and S. Lester. 2012. "Status and Solutions for the World's Unassessed Fisheries." *Science* 338: 517-520.

Costello, C., D. Ovando, T. Clavelle, C.K. Strauss, R. Hilborn, M.C. Melnychuk, T.A. Branch, et al. 2016. "Global Fishery Prospects under Contrasting Management Regimes." *Proceedings of the National Academy of Sciences of the United States of America* 113 (18): 5125-5129.

Cotula, L., S. Vermeulen, R. Leonard, and J. Keeley. 2009. "Land Grab or Development Opportunity? Agricultural Investment and International Land Deals in Africa." Rome and London: FAO (Food and Agriculture Organization of the United Nations), IED (International Institute for Environment and Development) and IFAD (International Fund for Agricultural Development).

Cotula, L., C. Oya, E. Codjoe, A. Eid, M. Kakraba-Ampeh, J. Keeley, A.L. Kidewa, et al. 2014. "Testing Claims about Large Land Deals in Africa: Findings from a Multi-country Study." *Journal of Development Studies* 50: 903-925.

Coulibaly, J., S. D'Alessandro, T. Nouhoheflin, C. Aitchedji, M. Damisa, D. Baributsa, and J. Lowenberg-DeBoer. 2012. "Purdue Improved Cowpea Storage (PICS) Supply Chain Study." Working Paper no. 12-4.

Craig, W.J., and A.R. Mangels. 2009. "Position of the American Dietetic Association: Vegetarian Diets." *Journal of the American Dietetic Association* 109 (7): 1266-1282.

Craparo, A.C.W., P.J.A. Van Asten, P. Läderach, L.T.P. Jassogne, and S.W. Grab. 2015. "*Coffea arabica* Yields Decline in Tanzania Due to Climate Change: Global Implications." *Agricultural and Forest Meteorology* 207: 1-10.

Creutzig, F., N.H. Ravindranath, G. Berndes, S. Bolwig, R. Bright, F. Cherubini, H. Chum, et al. 2014. "Bioenergy and Climate Change Mitigation: An Assessment." *Global Change Biology Bioenergy* 7 (5): 916-944.

Critchley, W., and J. Gowing, eds. 2012. *Water Harvesting in Sub-Saharan Africa*. Abingdon-on-Thames, UK: Routledge.

Crost, B., B. Shankar, R. Bennett, and S. Morse. 2007. "Bias from Farmer Self-Selection in Genetically Modified Crop Productivity Estimates: Evidence from Indian Data." *Journal of Agricultural Economics* 58: 24-36.

Crutzen, P.J., A.R. Mosier, K.A. Smith, and W. Winiwarter. 2008. "N₂O Release from Agro-biofuel Production Negates Global Warming Reduction by Replacing Fossil Fuels." *Atmospheric Chemistry and Physics* 8: 389-395.

Cui, B., J. Zhang, S. Liu, X. Liu, W. Xiang, L. Liu, H. Xin, et al. 2017. "Electrochemical Synthesis of Ammonia Directly from N₂ and Water over Iron-Based Catalysts Supported on Activated Carbon." *Green Chemistry* 19 (1): 298-304.

Cui, Z., H. Zhang, X. Chen, C. Zhang, W. Ma, C. Huang, W. Zhang, et al. 2018. "Pursuing Sustainable Productivity with Millions of Smallholder Farmers." *Nature* 555 (7696): 363.

Curtis, P.G., C.M. Slay, N.L. Harris, A. Tyukavina, and M.C. Hansen. 2018. "Classifying Drivers of Global Forest Loss." *Science* 361 (6407): 1108-1111.
doi:10.1126/science.aau3445.

Daily, G., P. Dasgupta, B. Bolin, P. Crosson, J. du Guerny, P. Ehrlich, C. Folke, et al. 1998. "Food Production, Population Growth, and the Environment." *Science* 281: 1291-1292.

Dale, A., C. Fant, K. Strzepek, M. Lickley, and S. Solomon. 2017. "Climate Model Uncertainty in Impact Assessments for Agriculture: A Multi-ensemble Case Study on Maize In Sub-Saharan Africa." *Earth's Future* 3: 337-353.

d'Alexis, S., M. Mahieu, F. Jackson, and M. Boval. 2012. "Cross-Infection between Tropical Goats and Heifers with *Haemonchus contortus*." *Veterinary Parasitology* 184 (2-4): 384-386.

d'Alexis, S., D. Sauvant, and M. Boval. 2013. "Mixed Grazing Systems of Sheep and Cattle to Improve Liveweight Gain: A Quantitative Review." *Journal of Agricultural Science* 152 (4): 655-666.

d'Alexis, S., F. Periacarpin, F. Jackson, and M. Boval. 2014. "Mixed Grazing Systems of Goats with Cattle in Tropical Conditions: An Alternative to Improving Animal Production in the Pasture." *Animal* 8 (8): 1282-1289.

Dargie, G.C., S.L. Lewis, I.T. Lawson, E.T.A. Mitchard, S.E. Page, Y.E. Bocko, and A. Suspense. 2017. "Age, Extent and Carbon Storage of the Central Congo Basin Peatland Complex." *Nature* 542: 86-90.

Damania, R., A.F. Barra, M. Burnouf, and J.D. Russ. 2016. "Transport, Economic Growth, and Deforestation in the Democratic Republic of Congo: A Spatial Analysis." Washington, DC: World Bank.

Danielsen, F., H. Beukema, N. Burgess, F. Parish, C. Bruhl, P. Donald, D. Murdiyarso, et al. 2009. "Biofuel Plantations on Forested Lands: Double Jeopardy for Biodiversity and Climate." *Conservation Biology* 23 (2): 348-358.

Daryanto, S., L. Wang, and P. Jacinthe. 2016. *Global Synthesis of Drought Effects on Cereal Production*. Poster session presented at IUPUI Research Day 2016, April 8, Indianapolis.

Dasgupta, S. 2017. "Do Protected Areas Work in the Tropics?" *Mongabay*, December 18. https://news.mongabay.com/2017/12/do-protected-areas-work-in-the-tropics/.

Dasgupta, S., B. Laplante, C. Meisner, D. Wheeler, and J. Yan. 2009. "The Impact of Sea Level Rise on Developing Countries: A Comparative Analysis." *Climatic Change* 93 (3): 379-388.

Davidson, S. 2007. "Forbidden Fruit: Transgenic Papaya in Thailand." *Plant Physiology* 147 (2): 487-493.

Davidson, E.A., and D. Kanter. 2014. "Inventories and Scenarios of Nitrous Oxide Emissions." *Environmental Research Letters* 9 (105012).

Davies, R. 2015. "The Indonesia-Australia Forest Carbon Partnership: A Murder Mystery." CGD Policy Paper 60. Washington, DC: Center for Global Development.

Davis, S.J., and K. Caldeira. 2010. "Consumption-Based Accounting of CO₂ Emissions." *Proceedings of the National Academy of Sciences of the United States of America* 107 (12): 5687-5692.

Dawczynski, C., M.E. Kleber, W. März, G. Jahreis, and S. Lorkowski. 2015. "Saturated Fatty Acids Are Not Off the Hook." *Nutrition, Metabolism and Cardiovascular Diseases* 25 (12): 1071-1078.

Dawe, D. 2005. "Water Productivity in Rice-Based Systems in Asia: Variability in Space and Time." *Plant Production Science* 8: 219-228.

DeBruin, J.L., J.R. Schussler, H. Mo, and M. Cooper. 2017. "Grain Yield and Nitrogen Accumulation in Maize Hybrids Released during 1934 to 2013 in the US Midwest." *Crop Science* 57 (3): 1431-1446. doi:10.2135/cropsci2016.08.0704.

Decara, S., A. Goussebaïle, R. Grateau, F. Levert, J. Quemener, and B. Vermont. 2012. "Land-Use Change and Environmental Consequences of Biofuels: A Quantitative Review of the Literature." Paris: Institut National de la Recherche Agronomique.

DeConto, R.M., and D. Pollard. 2016. "Contribution of Antarctica to Past and Future Sea-Level Rise." *Nature* 531: 591-597.
Decruyenaere, V., A. Buldgen, and D. Stilmant. 2009. "Factors Affecting Intake by Grazing Ruminants and Related Quantification Methods: A Review." *Biotechnologie, Agronomie, Société et Environnement* 13 (4): 559-573.

Deemer, R., J. Harrison, S. Li, J. Beaulieu, T. Delsontro, N. Barros, J. Bezerra-Neto, et al. 2016. "Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis." *Bioscience* 66 (11): 949-964.

Deep Decarbonization Pathways Project. 2015. *Pathways to Deep Decarbonization 2015 Report*. SDSN-IDDRI. http://deepdecarbonization.org/wp-content/uploads/2016/03/DDPP_2015_REPORT.pdf.

de Figueiredo, E.B., S. Jayasundara, R. de Oliveira Bordonal, T.T. Berchielli, R. Andrade Reis, C. Wagner-Riddle, and N. Ia Scala Jr. 2016. "Greenhouse Gas Balance and Carbon Footprint of Beef Cattle in Three Contrasting Pasture-Management Systems in Brazil." *Journal of Cleaner Production*. http://dx.doi.org/10.1016/j.jclepro.2016.03.132.

DEFRA (Department for Environment, Food, and Rural Affairs). 2014. "National Statistics: United Kingdom Egg Statistics, Quarter 2, 2014." London: DEFRA.

de Freitas, P.L., and J.N. Landers. 2014. "The Transformation of Agriculture in Brazil through Development and Adoption of Zero Tillage Conservation Agriculture." *International Soil and Water Conservation Research* 2 (1): 35-46.

Deininger, K., and J.S. Chamorro. 2004. "Investment and Income Effects of Land Regularization: The Case of Nicaragua." *Agricultural Economics* 30 (2): 101-16.

Deininger, K., and S. Jin. 2005. "Tenure Security and Land-Related Investment: Evidence from Ethiopia." World Bank, Development Research Group. *European Economic Review* 50: 1245-1277.

Deininger, K., D. Byerlee, J. Lindsay, A. Norton, H. Selod, and M. Stickler. 2011. *Rising Global Interest in Farmland: Can It Yield Sustainable and Equitable Results?* Washington, DC: World Bank.

de Klein, C.A.M., K.C. Cameron, H.J. Di, G. Rys, R.M. Monaghan, and R.R. Sherlock. 2011. "Repeated Annual Use of the Nitrification Inhibitor Dicyandiamide (DCD) Does Not Alter Its Effectiveness in Reducing N₂O Emissions from Cow Urine." *Animal Feed Science and Technology* 166-167: 480-491.

Delgado, C., J. Hopkins, V. Kelly, P. Hazell, A. McKenna, P. Gruhn, B. Hojjati, et al. 1998. *Agricultural Growth Linkages in Sub-Saharan Africa*. Washington, DC: IFPRI (International Food Policy Research Institute).

Delgado, C., M. Rosegrant, H. Steinfeld, S. Ehui, and C. Courbois. 1999. "Livestock to 2020: The Next Food Revolution." IFPRI Food, Agriculture, and the Environment Discussion Paper 28. Washington, DC: IFPRI (International Food Policy Research Institute).

Delgado, C., R. Townsend, I. Ceccacci, Y. Tanimichi Hoberg, S. Bora, W. Martin, D. Mitchell, et al. 2010. "Food Security: The Need for Multilateral Action." *Postcrisis Growth and Development: A Development Agenda for the G-20*: 383-438.

Delgado, C., M. Wolosin, and N. Purvis. 2015. "Restoring and Protecting Agricultural and Forest Landscapes and Increasing Agriculture Productivity." Working paper. New Climate Economy Project. Global Commission on the Economy and Climate, London, December 5. http://2015.newclimateeconomy.report/land-use.

Del Gobbo, L.C., S. Khatibzadeh, F. Imamura, R. Micha, P. Shi, M. Smith, S. Myers, and D. Mozaffarian. 2015. "Assessing Global Dietary Habits: A Comparison of National Estimates from the FAO and the Global Dietary Database." *American Journal of Clinical Nutrition* 101 (5): 1038-1046.

Del Grosso, S.J., T. Wirth, S.M. Ogle, and W.J. Parton. 2009. "Estimating Agricultural Nitrous Oxide Emissions." *EOS: Transactions American Geophysical Union* 89: 529-540.

Denholm, P., and R. Margolies. 2008. "Land Requirements and the Per Capita Solar Footprint for Photovoltaic Generation in the United States." *Energy Policy* 36: 3531-3543.

Department of Agriculture, Forestry, and Fisheries. 2012. "A Framework for the Development of Smallholder Farmers through Cooperatives Development." Pretoria: Department of Agriculture, Forestry, and Fisheries of the Republic of South Africa.

Department of Agriculture, Punjab. 2012. "National Conference on Agriculture for Kharif Campaign." Chandigarh, India: Department of Agriculture.

de Pinto, A., M. Magalhaes, and C. Ringler. 2010. "Potential of Carbon Markets for Small Farmers: A Literature Review." IFPRI Discussion Paper 01004. Washington, DC: IFPRI (International Food Policy Research Institute).

de Pinto, A., L. Lipper, C. Dutilly-Diane, and N. McCarthy. 2011. "Supplying Carbon Sequestration from West African Rangelands: Opportunities and Barriers." *Rangeland Ecology and Management* 63: 155-166.

Derner, J.D., and G.E. Schuman. 2007. "Carbon Sequestration and Rangelands: A Synthesis of Land Management and Precipitation Effects." *Journal of Soil Water Conservation* 62: 77-85.

de Sant-Anna, S., C.P. Jantalia, J.M. Sá, L. Vilela, R.L. Marchao, B.J.R. Alves, S. Urquiaga, and R.M. Boddey. 2016. "Changes in Soil Organic Carbon during 22 Years of Pastures, Cropping or Integrated Crop/Livestock Systems in the Brazilian Cerrado." *Nutrient Cycling in Agrosystems* 108 (1): 101-120.

De Silva, S., and N.T. Phuong. 2011. "Striped Catfish Farming in the Mekong Delta, Vietnam: A Tumultuous Path to a Global Success." *Reviews in Aquaculture* 3: 45-73.

De Silva, S.S., and D. Soto. 2009. "Climate Change and Aquaculture: Potential Impacts, Adaptation and Mitigation." In *Climate Change Implications for Fisheries and Aquaculture: Overview of Current Scientific Knowledge*, edited by K. Cochrane, C. De Young, D. Soto, and T. Bahri, 151-212. Rome: Food and Agriculture Organization of the United Nations.

de Souza, R.J., A. Mente, A. Maroleanu, A. Cozma, V. Ha, T. Kishibe, E. Uleryk, et al. 2015. "Intake of Saturated and Trans Unsaturated Fatty Acids and Risk of All Cause Mortality, Cardiovascular Disease, and Type 2 Diabetes: Systematic Review and Meta-analysis of Observational Studies." *CCBYNC Open Access. BMJ* 2015: 351:h3978.

de Souza, J.S., M.M.L. Kizys, R.R. Da Conceição, G. Glebocki, R.M. Romano, T.M. Ortiga-Carvalho, G. Giannocco, et al. 2017. "Perinatal Exposure to Glyphosate-Based Herbicide Alters the Thyrotrophic Axis and Causes Thyroid Hormone Homeostasis Imbalance in Male Rats." *Toxicology* 377: 25-37.

de Vries, M., and I.J.M. De Boer. 2009. "Comparing Environmental Impacts for Livestock Products: A Review of Life-Cycle Assessments." *Livestock Science* 128 (1): 1-11.

de Vries, J.W., W.J. Corré, and H.J.C. van Dooren. 2010. *Environmental Assessment of Untreated Manure Use, Manure Digestion and Co-digestion with Silage Maize*. Report 372. Wageningen, the Netherlands: Wageningen UR Livestock Research.

de Vries, J.W., A.J.A. Aarnink, P.W.G. Groot Koerkamp, and I.J.M. De Boer. 2013. "Life Cycle Assessment of Segregating Fattening Pig Urine and Feces Compared to Conventional Liquid Manure Management." *Environmental Science & Technology* 47 (3): 1589-1597. doi:10.1021/es302951a.
Dewi, S., N. Khasanah, S.A.E. Rahayu, and M. van Noordwijk. 2009. *Carbon Footprint of Indonesian Palm Oil Plantation: A Pilot Study*. Bogor, Indonesia: World Agroforestry Centre (ICRAF), SEA Regional Office.

Dhingra, R., E.R. Christensen, Y. Liu, B. Zhong, C.F. Wu, M.G. Yost, and J.V. Remais. 2011. "Greenhouse Gas Emission Reductions from Domestic Anaerobic Digesters Linked with Sustainable Sanitation in Rural China." *Environmental Science Technology* 45 (6): 2345-2352.

Diao, X., P. Hazell, D. Resnick, and J. Thurlow. 2007. *The Role of Agriculture in Development: Implications for Sub-Saharan Africa*. Research Report 153. Washington, DC: IFPRI (International Food Policy Research Institute).

Diaz, R., M. Selman, and C. Chique. 2011. "Global Eutrophic and Hypoxic Coastal Systems—Eutrophication and Hypoxia: Nutrient Pollution in Coastal Waters." Washington, DC: World Resources Institute. http://docs.wri.org/wri_eutrophic_hypoxic_dataset_2011-03.xls.

Dickrell, J. 2014. "Reclaiming 75% of Manure Liquids to Potable Water." *Dairy Today Magazine*. Monticello, MN: Dairy Today.

Dickrell, J. 2016. "From Manure to Drinking Water." *Dairy Herd Management Magazine*. Lenexa, KS: Dairy Herd Management.

Di Maso, M., R. Talamini, C. Bosetti, M. Montella, A. Zucchetto, M. Libra, E. Negri, et al. 2013. "Red Meat and Cancer Risk in a Network of Case-Control Studies Focusing on Cooking Practices." *Annals of Oncology* 24 (12): 3107-3112.

Dimkpa, C.O., and P.S. Bindraban. 2016. "Fortification of Micronutrients for Efficient Agronomic Production: A Review." *Agronomy for Sustainable Development* 36: 1-26.

Directorate of Fisheries. 2019. "Statistics on Escapes" (Norwegian). https://www.fiskeridir.no/Akvakultur/Statistikk-akvakultur/Roemmingsstatistikk.

Dixon, R., and D. Coates. 2009. "Review: Near Infrared Spectroscopy of Faeces to Evaluate the Nutrition and Physiology of Herbivores." *Journal of Near Infrared Spectroscopy* 17 (1): 1-31.

Dobbs, R., C. Sawers, F. Thompson, J. Manyika, J. Woetzel, P. Child, S. McKenna, and A. Spatharou. 2014. *Overcoming Obesity: An Initial Economic Analysis*. New York: McKinsey Global Institute.

Do Carmo, B.B. 2017. "Market Mechanisms to Compensate for Illegal Deforestation in the Brazilian Amazon and Their Connection to Land Tenure Governance." PhD diss., Stanford University School of Law.

Dong, D., and B.-H. Lin. 2009. *Fruit and Vegetable Consumption by Low-Income Americans—Would a Price Reduction Make a Difference? Economic Research Report no. 70, U.S. Department of Agriculture, Economic Research Service (USDA ERS). Washington, DC: USDA/ERS.*

Donnelly, L. 2015. "Britain Turns Its Back on Strong Beer." *Telegraph*, March 8. http://www.telegraph.co.uk/news/health/news/11455150/Britain-turns-its-back-on-strong-beer.html.

Donofrio, S., P. Rothrock, and J. Leonard. 2017. "Supply Change: Tracking Corporate Commitments to Deforestation-Free Supply Chains, 2017." Washington, DC: Forest Trends.

Doole, G.J., and U.H. Paragahawewa. 2011. "Profitability of Nitrification Inhibitors for Abatement of Nitrate Leaching on a Representative Dairy Farm in the Waikato Region of New Zealand." *Water* 3 (4): 1031-1049.

Dore, M.H.I. 2005. "Climate Change and Changes in Global Precipitation Patterns: What Do We Know?" *Environment International* 31 (8): 1167-1181.

Dorward, A. 2012. "The Short- and Medium-Term Impacts of Rising Staple Food Prices." *Food Policy* 4: 633-645.

Dorward, A. 2013. "Agricultural Labour Productivity, Food Prices and Sustainable Development Impacts and Indicators." *Food Policy* 39: 40-50.

Doumbia, M. 2010. *Conservation Agriculture in the Sahelian Region of West Africa*. Bamako: Institut d'Économie Rurale. http://www.fondation-farm.org/zoe/doc/conf2010_presentation05_mdoumbia.pdf.

Doumbia, M., A. Jarju, M. Sene, K. Traore, R. Yost, R. Kablan, K. Brannan, et al. 2009. "Sequestration of Organic Carbon in West African Soils by Aménagement en courbes de niveau." *Agronomy for Sustainable Development* 29: 267-275.

Downs, S.M., A.M. Thow, and S.R. Leeder. 2013. "The Effectiveness of Policies for Reducing Dietary Trans Fat: A Systematic Review of the Evidence." *Bulletin of the World Health Organization* 91: 262-269.

Dror, D.K., and L.H. Allen. 2011. "The Importance of Milk and Other Animal-Source Foods for Children in Low-Income Countries." *Food Nutrition Bulletin* 32: 227-243.

Druilhe, Z., and J. Barreiro-Hurlé. 2012. "Fertilizer Subsidies in Sub-Saharan Africa." ESA Working Paper no. 12-04. Rome: FAO (Food and Agriculture Organization of the United Nations).

Dugan, P., V.V. Sugunan, R.L. Welcomme, C. Béné, R.E. Brummett, and M.C.M. Beveridge. 2007. "Inland Fisheries and Aquaculture." In Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture, edited by D. Molden, 459-483. London: Earthscan.

Duin, E.C., T. Wagner, S. Shima, D. Prakash, B. Cronin, D. Yáñez-Ruiz, S. Duval, et al. 2016. "Mode of Action Uncovered for the Specific Reduction of Methane Emissions from Ruminants by the Small Molecule 3-Nitrooxypropanol." *Proceedings of the National Academy of Sciences of the United States of America* 113 (22): 6172-6177.

Dumanovsky, T. 2011. "Changes in Energy Content of Lunchtime Purchases from Fast Food Restaurants after Introduction of Calorie Labelling: Cross Sectional Customer Surveys." *BMJ* 343: d4464.

Dumortier, J., D. Hayes, M. Carriquiry, F. Deng, X. Du, A. Elobeid, J. Fabiosa, and S. Tokgoz. 2011. "Sensitivity of Carbon Emission Estimates from Indirect Land-Use Change." *Applied Economic Perspectives and Policy* 33: 428-448.

Dumortier, J., J. Dermot, J. Hayes, M. Carriquiry, F. Dong, X. Du, A. Elobeid, et al. 2012. "The Effects of Potential Changes in United States Beef Production on Global Grazing Systems and Greenhouse Gas Emissions." *Environmental Research Letters* 7 (024023).

Duncan, A.J., F. Bachewe, K. Mekonnen, D. Valbuena, G. Rachier, D. Lule, M. Bahta, and O. Erenstein. 2016. "Crop Residue Allocation to Livestock Feed, Soil Improvement and Other Uses along a Productivity Gradient in Eastern Africa." *Agriculture, Ecosystems & Environment* 228: 101-110.

Dwyer, T., and B.S. Hetzel. 1980. "A Comparison of Trends of Coronary Heart Disease Mortality in Australia, USA, and England and Wales with Reference to Three Major Risk Factors—Hypertension, Cigarette Smoking and Diet." *International Journal of Epidemiology* 9: 65-71.

Easterling, W.E., P.K. Aggarwal, P. Batima, K.M. Brander, L. Erda, S.M. Howden, A. Kirilenko, et al. 2007. "Food, Fibre and Forest Products." In *Climate Change 2007: Impacts, Adaptation and Vulnerability*, edited by M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden, and C.E. Hanson. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
Economist. 2010. "Brazilian Agriculture: The Miracle of the Cerrado." August 26. http://www.economist.com/node/16886442.

Economist. 2012. "A Fat Chance: The Danish Government Rescinds Its Unwieldy Fat Tax." November 17. http://www.economist.com/news/europe/21566664-danish-government-rescinds-its-unwieldy-fat-tax-fat-fat chance.

Economist. 2014. "Chubby Little Emperors: Why China Is Under- and Over-nourished at the Same Time." June 14. http://www.economist.com/news/china/21604221-why-china-under-and-over-nourished-same-time-chubby-little-emperors.

Economist. 2015. "Silicon Valley Gets a Taste for Food." March 7. http://www.economist.com/news/technology-quarterly/21645497-tech-startups-are-moving-food-business-make-sustainable-versions-meat.

Ecorys. 2014. Food Taxes and Their Impact on Competitiveness in the Agri-food Sector. Rotterdam: Ecorys.

EDGAR (Emission Database for Global Atmospheric Research). 2011. Release Version 4.2. http://edgar.jrc.ec.europa.eu.

Edgerton, M.D. 2009. "Increasing Crop Productivity to Meet Global Needs for Feed, Food, and Fiber." *Plant Physiology* 149: 7–13.

Editors of Nature. 2013. "GM Crops: A Story in Numbers." *Nature* 497: 22–23.

Edwards, R., J. Larive, and J. Beziat. 2011. "Well to Wheel Analysis of Future Automotive Fuels and Powertrains in the European Context." WTT Appendix 2. Ispra, Italy: European Commission Joint Research Centre.

Edwards, D.P., S. Sloan, L. Weng, J. Sayer, P. Dirks, and W.F. Laurance. 2014. "Mining and the African Environment." *Conservation Letters* 7: 302–311.

E4tech. 2010. "A Causal Descriptive Approach to Modeling the GHG Emissions Associated with the Indirect Land Use Impacts of Biofuels." London: E4tech.

EIA (United States Energy Information Administration). 2012. *Annual Energy Outlook 2012: With Projections to 2035*. Washington, DC: EIA.

EIA. 2013. *International Energy Outlook 2013: With Projections to 2040*. Washington, DC: EIA.

EIA. 2014. "International Energy Statistics: Biofuel Consumption." https://www.eia.gov/beta/international/data/browser/.

EIA. 2015. "U.S. Energy-Related Carbon Dioxide Emissions, 2014." Washington, DC: EIA. https://www.eia.gov/environment/emissions/carbon/.

Eitzinger, A., P. Läderach, A. Quiroga, A. Pantoja, and J. Gordon. 2011. *Future Climate Scenarios for Kenya's Tea Growing Areas*. Decision and Policy Analyses group (DAPA) at Centro Internacional de Agricultura Tropical (CIAT). http://dapa.ciat.cgiar.org/wp-content/uploads/2011/05/Future-Climate-Scenarios-for-Kenyan-Farmers-Final-Report2.pdf.

Ejertsen, M., J. Poole, and K. Marshall. 2012. *Sustainable Management of Globally Significant Endemic Ruminant Livestock in West Africa: Estimates of Livestock Demographic Parameters in Mali*. ILRI Research Report 31. Nairobi, Kenya: ILRI (International Livestock Research Institute).

Elias, P., and D. Boucher. 2014. *Planting for the Future: How Demand for Wood Products Could Be Friendly to Tropical Forests*. Cambridge, MA: Union of Concerned Scientists.

Elinder, L.S. 2005. "Obesity, Hunger and Agriculture: The Damaging Role of Subsidies." *BMJ* 331 (7528): 1333–1336.

Ellis, Jonathan. 2014. "Walmart Pushes Plan to Reduce Fertilizer." USA Today, March 16. http://www.usatoday.com/story/money/business/2014/03/16/wal-mart-has-fertilizer-plan/6428637/.

Enciso, J., and M. Mecke. 2004. "Using Renewable Energy to Pump Water." *Texas Cooperative Extension*. http://aces.nmsu.edu/ces/windmill/documents/using-renewable-energy-to-pump-water.pdf.

Environmental Working Group. 2011. *Meat Eaters' Guide to Climate Change + Health*. Washington, DC: Environmental Working Group.

EPA (U. S. Environmental Protection Agency). 2012. *Summary Report: Global Anthropogenic Non-CO₂ Greenhouse Gas Emissions, 1990–2030*. 430-S-12-002. Washington, DC: EPA.

EPA. 2013. *Food Waste Production and Prevention*. http://www.epa.gov/foodrecovery/fd-reduce.htm.

EPA. 2015a. *Inventory of US Greenhouse Gas Emissions and Sinks, 1990–2013*. Washington, DC: EPA.

EPA. 2015b. *Mississippi River/Gulf of Mexico Watershed Nutrient Task Force: 2015 Report to Congress*. Washington, DC: EPA.

EPA. 2016. "Bromoform Fact Sheet." https://www.epa.gov/sites/production/files/2016-09/documents/bromoform.pdf.

EPA. 2017. *AgSTAR: Biogas Recovery in the Agriculture Sector*. https://www.epa.gov/agstar.

Erb, K., V. Gaube, F. Krausmann, C. Plutzar, A. Bondeau, and H. Haberl. 2007. "A Comprehensive Global 5 Min Resolution Land-Use Data Set for the Year 2000 Consistent with National Census Data." *Journal of Land Use and Science* 2: 191–224. https://doi.org/10.1080/17474230701622981.

Erb, K.-H., S. Gingrich, F. Krausmann, and H. Haberl. 2008. "Industrialization, Fossil Fuels, and the Transformation of Land Use." *Journal of Industrial Ecology* 12 (5-6): 686–703. doi:10.1111/j.1530-9290.2008.00076.x.

Erb, K.-H., C. Lauk, T. Kastner, A. Mayer, M. C. Theurl, and H. Haberl. 2016. "Exploring the Biophysical Option Space for Feeding the World without Deforestation." *Nature Communications* 7: 11382.

Erb, K.-H., T. Kastner, C. Plutzar, A.L.S. Bais, N. Carvalhais, T. Fetzel, S. Gingrich, et al. 2017. "Unexpectedly Large Impact of Forest Management and Grazing on Global Vegetation Biomass." *Nature* 553 (December 20): 73–76. https://www.nature.com/articles/nature25138.

Ercin, A.E., and A.Y. Hoekstra. 2012. *Water Footprint Scenarios for 2050: A Global Analysis and Case Study for Europe*. Value of Water Research Report Series no. 59. Delft, the Netherlands: UNESCO-IHE Institute for Water Education.

Ercin, A. E., and A. Y. Hoekstra. 2014. "Water Footprint Scenarios for 2050: A Global Analysis." *Environment International* 64: 71–82.

Erisman, J.W., J. Galloway, S. Seitzinger, A. Bleeker, N. Dise, R. Petrescu, A. Leach, and W. de Vries. 2013. "Consequences of Human Modification of the Global Nitrogen Cycle." *Philosophical Transactions of the Royal Society B* 368 (1621): 20130116.

Ernst, C., P. Mayaux, A. Verhegghen, C. Bodart, M. Christophe, and P. Defourny. 2013. "National Forest Cover Change in Congo Basin: Deforestation, Reforestation, Degradation and Regeneration for the Years 1990, 2000 and 2005." *Global Change Biology* 19 (4): 1173–1187. doi:10.1111/gcb.12092.
Eshel, G., P. Martin, and E. Bowen. 2009. "Land Use and Reactive Nitrogen Discharge: Effects of Dietary Choices." *Earth Interactions* 14: 1–14.

Eshel, G., A. Shepon, T. Makov, and R. Milo. 2014. "Land, Irrigation Water, Greenhouse Gas, and Reactive Nitrogen Burdens of Meat, Eggs, and Dairy Production in the United States." *Proceedings of the National Academy of Sciences of the United States of America* 111 (33): 11996–12001.

Estes, L.D., H. Beukes, B.A. Bradley, S.R. Debats, M. Oppenheimer, A.C. Ruane, R. Schulze, and M. Tadross. 2013. "Projected Climate Impacts to South African Maize and Wheat Production in 2055: A Comparison of Empirical and Mechanistic Modeling Approaches." *Global Change Biology* 19 (12): 3762–3774. doi:10.1111/gcb.12325.

Estes, L., T. Searchinger, M. Spiegel, D. Tian, S. Sichinga, M. Mwale, L. Kehoe, et al. 2016. "Reconciling Agriculture, Carbon and Biodiversity in a Savannah Transformation Frontier." *Philosophical Transactions of the Royal Society B* 371 (1703): 20150316.

Estes, L., D. McRitchie, J. Choi, S. Debats, T. Evans, W. Guthe, D. Luo, et al. 2016. "A Platform for Crowdsourcing the Creation of Representative, Accurate Landcover Maps." *Environmental Modelling and Software* 80: 41–53.

Estes, L., P. Chen, S. Debats, T. Evans, S. Ferreira, T. Kuemmerle, G. Ragazzo, et al. 2018. "A Large-Area, Spatially Continuous Assessment of Land-Cover Map Error and Its Impact on Downstream Analyses." *Global Change Biology* 24: 322–337.

Estruch, R.E. Ros, J. Salas-Salvado, M.I. Covas, D. Corella, and F. Aros. 2013. "Primary Prevention of Cardiovascular Disease with a Mediterranean Diet." *New England Journal of Medicine* 368 (14): 1279–1290.

Ethiopia Central Statistical Agency. 2017. *Ethiopia Demographic and Health Survey 2016*. Addis Ababa, Ethiopia: Central Statistical Agency.

EU Joint Research Centre. 2008. *Scientific and Technical Contribution to the Development of an Overall Health Strategy in the Area of GMOs*. Luxembourg: Office for Official Publications of the European Communities.

EU Nitrogen Expert Panel. 2015. "Nitrogen Use Efficiency (NUE): An Indicator for the Utilization of Nitrogen in Agriculture and Food Systems." *Wageningen University*.

European Commission. 2010. "Commission Decision of 10 June 2010 on Guidelines for the Calculation of Land Carbon Stocks for the Purpose of Annex V to Directive 2009/28/EC." *Official Journal of the European Union* L151: 19–41. http://eur-lexc.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:151:0019:0041:EN:PDF.

European Commission. 2016. *Impact Assessment Accompanying the Document Proposal for a Regulation of the European Parliament and of the Council on Binding Annual Greenhouse Gas Emission Reductions from 2021 to 2030 for a Resilient Energy Union and to Meet Commitments under the Paris Agreement and Amending Regulation No. 525/2013 of the European Parliament and the Council on a Mechanism for Monitoring and Reporting Greenhouse Gas Emissions and Other Information Relevant to Climate Change*. https://ec.europa.eu/clima/sites/clima/files/docs/20160720__impact_assessment_1_en.pdf.

European Commission Joint Research Centre. 2010. *Biofuels: A New Methodology to Estimate GHG Emissions from Global Land Use Change*. Luxembourg: Publications Office of the European Union.

European Network for Rural Development. 2017. "Finding Solutions to Control AECM Support for Input Reductions." https://enrd.ec.europa.eu/sites/enrd/files/w12_aecm_factsheet_input-reductions.pdf.

European Parliament. 2012. "Avoiding Food Wastage." http://www.europarl.europa.eu/sides/getDoc.doallsType=TA&language=EN&reference=P7-TA-2012-14.

European Union Delegation to Malaysia, Trade and Economic Section. 2012. "The Malaysian Palm Oil Sector: Overview." http://www.ice.gov.it/paesi/asia/malaysia/upload/173/Palm%20Oil_overview_2012.pdf.

Evans, M. 2014. "Shark Fin Soup Sales Plunge in China." *Al Jazeera*, April 10. http://www.aljAZEERA.com/indepth/features/2014/04/shark-fin-soup-sales-plunge-china-20144913514600433.html.

Evenson, R.E., and D. Gollin. 2003a. "Assessing the Impact of the Green Revolution 1960 to 2000." *Science* 300: 758–762.

Evenson, R.E., and D. Gollin, eds. 2003b. *Crop Variety Improvement and Its Effect on Productivity: The Impact of International Agricultural Research*. Cambridge: CABI (Centre for Agriculture and Bioscience International).

Ewer, R.M., J.P.W. Scharlemann, A. Balmford, and R.E. Green. 2009. "Do Increases in Agricultural Yield Spare Land for Nature?" *Global Change Biology* 15: 1716–1726.

Fabiani, L., C. Lovatelli, and B. Rudorff. 2010. "Soy Moratorium: Mapping & Monitoring of Soy Plantings in the Amazon Biome in the Third Year." *São Paulo: ABIOVE, GlobalSat*, and INPE. http://www.abiove.org.br/site/_files/english/04092012-161845-relatorio_moratoria_2012_ingles.pdf.

Fagan, M.E., R.S. DeFries, S.E. Sesnie, J.P. Arroyo, W. Walker, C. Soto, R.L. Chazdon, and A. Sanchu. 2013. "Land Cover Dynamics Following a Deforestation Ban in Northern Costa Rica." *Environmental Research Letters* 8 (034017).

Fairhurst, T., and D. McLaughlin. 2009. *Sustainable Oil Palm Development on Degraded Land in Kalimantan*. Washington, DC: World Wildlife Fund.

Fairhurst, T., M. McLeish, and R. Prasodjo. 2010. *Conditions Required by the Private Sector for Oil Palm Expansion on Degraded Land in Indonesia*. London and Washington, DC: Tropical Crop Consultants, Ltd., and World Resources Institute.

Famiglietti, J.S. 2014. "The Global Groundwater Crisis." *Nature Climate Change* 4: 945–949.

Fan, M., X. Liu, R. Jiang, F. Zhang, S. Lu, X. Zeng, and P. Christie. 2005. "Crop Yields, Internal Nutrient Efficiency, and Changes in Soil Properties in Rice-Wheat Rotations under Non-flooded Mulching Cultivation." *Plant and Soil* 277: 265–276.

Fan, S., A. Gulati, and S. Thorat. 2007. "Investment, Subsidies, and Pro-poor Growth in Rural India." *Agricultural Economics* 39 (2): 163–170.

Fanchone, A., H. Archimede, R. Delagarde, and M. Boval. 2012. "Comparison of Intake and Digestibility of Fresh *Digitaria decumbens* Grass Fed to Sheep, Indoors or at Pasture, at Two Different Stages of Regrowth." *Animal* 6 (7): 1108–1114.

FAO (Food and Agriculture Organization of the United Nations). n.d. "Women and Sustainable Food Security." Prepared by the Women in Development Service for the Sustainable Development Department. Rome: FAO. http://www.fao.org/sd/fsdirect/fbdirect/FSP001.htm.

FAO. 1989. *Yield and Nutritional Value of the Commercially More Important Fish Species*. Rome: FAO.

FAO. 2002. *World Agriculture: Towards 2015/2030: Summary Report*. Rome: FAO.
FAO. 2004. *The World Food Summit Five Years Later: Mobilizing the Political Will and Resources to Banish World Hunger*. Rome: FAO.

FAO. 2006a. "Food Security: Policy Brief." FAO Agricultural and Development Economics Division, with support from FAO Netherlands Partnership Programme and the EC-FAO Food Security Programme. Rome: FAO.

FAO. 2006b. *The State of World Fisheries and Aquaculture 2006*. Rome: FAO.

FAO. 2007. *Gender Equality: Ensuring Rural Women's and Men's Equal Participation in Development*. Rome: FAO.

FAO. 2008. *Glossary of Aquaculture*. Rome: FAO.

FAO. 2010a. *Land Policy in Africa: A Framework to Strengthen Land Rights, Enhance Productivity and Secure Livelihoods*. Rome: FAO.

FAO. 2010b. "Principles for Responsible Agricultural Investment That Respects Rights, Livelihoods and Resources, Synoptic Version." A discussion note prepared by FAO, International Fund for Agricultural Development, the UNCTAD Secretariat and the World Bank Group to contribute to an ongoing global dialogue. February 22.

FAO. 2011a. *The State of Food and Agriculture: Women in Agriculture—Closing the Gender Gap for Development*. Rome: FAO.

FAO. 2011b. *The State of the World's Land and Water Resources for Food and Agriculture—Managing Systems at Risk*. Rome and London: FAO and Earthscan.

FAO. 2011c. *Global Food Losses and Food Waste—Extent, Causes, and Prevention*. Rome: FAO.

FAO. 2011d. *The State of Food Insecurity in the World*. Rome: FAO.

FAO. 2011e. *World Livestock 2011: Livestock in Food Security*. Rome: FAO.

FAO. 2011f. "Issue Paper: Energy-Smart Food for People and Climate." Rome: FAO.

FAO. 2012a. *Global Forest Land-Use Change, 1990–2005*. Rome: FAO.

FAO. 2012b. *Conservation Agriculture*. Rome: FAO. www.fao.org/ag/ca/index.html.

FAO. 2012c. *State of Food and Agriculture: Investing in Agriculture*. Rome: FAO.

FAO. 2013a. "The Role of Food Systems in Nutrition." *The State of Food and Agriculture: Food Systems for Better Nutrition*. http://www.fao.org/docrep/018/i3300e/i3300e01.pdf.

FAO. 2013b. *AQUASTAT—FAO's Information System on Water and Agriculture*. Rome: FAO. http://www.fao.org/nr/water/aquastat/water_use/index.stm.

FAO. 2014a. "Food Security Indicators." October 15 revision. Rome: FAO.

FAO. 2014b. *Assisted Natural Regeneration of Forests*. Rome: FAO. http://www.fao.org/forestry/anr/en/.

FAO. 2015a. *Food Wastage Footprint & Climate Change*. Rome: FAO.

FAO. 2015b. *Statistical Pocketbook: World Food and Agriculture*. Rome: FAO.

FAO. 2018. *The State of World Fisheries and Aquaculture: Meeting the Sustainable Development Goals*. Rome: FAO.

FAO. 2019a. "FAOSTAT." Rome: FAO.

FAO. 2019b. "FishStatJ: FAO Global Fishery and Aquaculture Production Statistics." Rome: FAO.

FAO. 2019c. "Climate-Smart Agriculture." Rome: FAO. http://www.fao.org/climate-smart-agriculture/en/.

FAO, WHO, and UNU (Food and Agriculture Organization of the United Nations, World Health Organization, and United Nations University). 1985. *Energy and Protein Requirements*. Geneva: WHO.

FAO, NACA, UNEP, World Bank, and WWF (Food and Agriculture Organization of the United Nations, Network of Aquaculture Centres in Asia-Pacific, United Nations Environment Programme, World Bank, and World Wildlife Fund). 2006. *International Principles for Responsible Shrimp Farming*. Bangkok: NACA.

FAO, WFP, and IFAD (Food and Agriculture Organization of the United Nations, World Food Programme, and International Fund for Agricultural Development). 2012. *The State of Food Insecurity in the World 2012: Economic Growth Is Necessary but Not Sufficient to Accelerate Reduction of Hunger and Malnutrition*. Rome: FAO.

FAO, WFP, and IFAD (Food and Agriculture Organization of the United Nations, World Food Programme, and International Fund for Agricultural Development). 2013. *The State of Food Insecurity in the World 2013: The Multiple Dimensions of Food Security*. Rome: FAO.

FAO, IFAD, and WFP (Food and Agriculture Organization of the United Nations, International Fund for Agricultural Development, and World Food Programme). 2015. *The State of Food Insecurity in the World 2015: Meeting the 2015 International Hunger Targets—Taking Stock of Uneven Progress*. Rome: FAO.

FAO, IFAD, UNICEF, WFP, and WHO (Food and Agriculture Organization of the United Nations, International Fund for Agricultural Development, United Nations Children's Fund, World Food Programme, and World Health Organization). 2017. *The State of Food Security and Nutrition in the World 2017: Building Resilience for Peace and Food Security*. Rome: FAO.

Fargione, J., J. Hill, D. Tilman, S. Polasky, and P. Hawthorne. 2008. "Land Clearing and the Biofuel Carbon Debt. Science 319: 1235-1238. Supporting online material accessible at http://www.sciencemag.org/content/suppl/2008/02/06/1152747.DC1/Fargione.SOM.pdf.

Fearnside, P.M. 1982. "Deforestation in the Brazilian Amazon: How Fast Is It Occurring?" *Interciencia* 7 (2): 82-85.

Feder, G., Y. Chalamwong, T. Onchan, and C. Hongladarom. 1988. *Land Policies and Farm Productivity in Thailand*. Baltimore: Johns Hopkins University Press.

Federici, S., F. Tubiello, M. Salvatore, H. Jacobs, and J. Schmidhuber. 2015. "New Estimates of CO₂ Forest Emissions and Removals: 1990–2015." *Forest Ecology and Management* 352: 89–98.

Feed the Future. 2012. "Feed the Future Helps Scale-Up Ridge Tillage in Mali." *Feed the Future*. https://www feedthefuture gov/article/feed-the-future-helps-scale-up-ridge-tillage-mali.

Feed the Future. n.d. "Southern Agricultural Growth Corridor of Tanzania (SAGCOT)." https://feedthefuture.gov/model/southern-agricultural-growth-corridor-tanzania-sagcot.

Felton, A.M., L.M. Engstrom, A. Felton, and C.D. Knott. 2003. "Effects of Selective Hand-Logging on Orangutan Population Density, Forest Structure and Fruit Availability in a Peat Swamp Forest in West Kalimantan." *Indonesia Biology Conservation* 114: 91-101.
Fernald, L.C.H., P.J. Gertler, and L.M. Neufeld. 2008. "Role of Cash in Conditional Cash Transfer Programmes for Child Health, Growth, and Development: An Analysis of Mexico's Oportunidades." *Lancet* 371: 828–837.

Fernandez-Cornejo, J., and S. Wechsler. 2012. "Revisiting the Impact of Bt Corn Adoption by U.S. Farmers." *Agricultural and Resource Economics Review* 41: 377–390.

Fertilizer Institute. 2016. "Managing Nutrients." https://www.tfi.org/introduction-fertilizer/environmental-stewardship/managing-nutrients.

Fetzel, T., P. Havlík, M. Herrero, J.O. Kaplan, T. Kastner, C. Kroisleitner, S. Rolinski, et al. 2017. "Quantification of Uncertainties in Global Grazing Systems Assessment." *Global Biogeochemical Cycles* 31 (7): 1089–1102.

Field, C.B., J.E. Campbell, and D.B. Lobell. 2008. "Biomass Energy: The Scale of the Potential Resource." *Trends in Ecology and Evolution* 23 (2): 65–72.

Figueres, C., H. Schellhuber, G. Whiteman, A. Hobley, and S. Rahmstorf. 2017. "Three Years to Safeguard Our Climate." *Nature* 546: 593–595.

Filipski, M., and K. Covarrubia. 2010. "Distributional Impacts of Commodity Prices in Developing Countries." In *Agricultural Policies for Poverty Reduction*, edited by J. Brooks. Paris: OECD.

Filtration and Separation. 2014. "Technical Note: An Alternative Manure Treatment Technology." *Filtration and Separation* 51 (5): 44–45.

Finger, R. 2010. "Impacts of Agricultural Policy Reforms on Crop Yields." *EuroChoices* 7: 24–25.

Finkelstein, E.A., J.G. Trogdon, J.W. Cohen, and W. Dietz. 2009. "Annual Medical Spending Attributable to Obesity: Payer- and Service-Specific Estimates." *Health Affairs* 28 (5): w822–w831.

Finkelstein, E.A., M.C. DiBonaventura, S.M. Burgess, and B.C. Hale. 2010. "The Costs of Obesity in the Workplace." *Journal of Occupational and Environmental Medicine* 52 (10): 971–976.

Fischer, C.G., and T. Garnett. 2016. "Plates, Pyramids, Planet: Developments in National Healthy and Sustainable Dietary Guidelines: A State of Play Assessment." Rome and Oxford: FAO and Food Climate Research Network.

Fischer, T., D. Byerlee, and G. Edmeades. 2014. "Crop Yields and Global Food Security: Will Yield Increases Continue to Feed the World?" *ACIAR Monograph* no. 158. Canberra: Australian Centre for International Agricultural Research.

Flannery, R. 2014. "Chinese Billionaire Guo Guangchang to Be Feted as Global 'Shark Guardian' in New York." *Forbes*, April 13. http://www.forbes.com/sites/russellflannery/2014/04/13/chinese-billionaire-guo-guangchang-to-be-feted-as-global-shark-guardian-in-new-york/.

Foley, J.A., R. DeFries, G.P. Asner, C. Barford, G. Bonan, S.R. Carpenter, F.S. Chapin, et al. 2005. "Global Consequences of Land Use." *Science* 309: 570–574.

Foley, J.A., N. Ramankutty, K.A. Brauman, E.S. Cassidy, J.S. Gerber, M. Johnston, N.D. Mueller, et al. 2011. "Solutions for a Cultivated Planet." *Nature* 478: 337–342.

Food Loss and Waste Protocol (FLW Protocol). 2016. *Food Loss and Waste Accounting and Reporting Standard*. Washington DC: FLW Protocol.

Foresight. 2011a. *The Future of Food and Farming*. Final project report. London: Government Office for Science.

Foresight. 2011b. *Synthesis Report C6: Raising the Limits of Sustainable Production*. London: Government Office for Science.

Fort, J. 2013. "Challenge: Aquaculture Investment." *Global Aquaculture Advocate*, January/February.

Fort, R. 2007. *Property Rights after Market Liberalization Reforms: Land Titling and Investments in Rural Peru*. Wageningen, the Netherlands: University of Wageningen.

Frank, S., P. Havlík, J.-F. Soussana, A. Levesque, H. Valin, E. Wollenberg, U. Kleinwechter, et al. 2017. "Reducing Greenhouse Gas Emissions in Agriculture without Compromising Food Security?" *Environmental Research Letters* 12 (105004).

Franzluebbers, A.J., and J.A. Stuedemann. 2009. "Soil-Profile Organic Carbon and Total Nitrogen during 12 Years of Pasture Management in the Southern Piedmont USA." *Agriculture, Ecosystems, and Environment* 129 (1–3): 28–36.

Fraser, D. 2008. "Understanding Animal Welfare." *Acta Veterinaria Scandinavica* 50 (suppl. 1): S1.

Frelat, R., S. Lopez-Ridaura, K.E. Giller, M. Herrero, S. Douxchamps, A.A. Djurfeldt, O. Erenstein, et al. 2015. "Drivers of Household Food Availability in Sub-Saharan Africa Based on Big Data from Small Farms." *Proceedings of the National Academy of Sciences of the United States of America* 113 (2): 458–463.

French, S. 2015. "Marketing Trends in Protein: Are You Capitalizing on the Opportunity?" Presentation at the Protein Trends & Technologies Seminar, Oak Brook, IL, May 5. Harleysville, PA: Natural Marketing Institute.

French Ministry of Agriculture, Agrifood, and Forestry. 2017. "4 pour 1000." http://4p1000.org/understand.

Frenken, K., and J. Faurès. 1997. "Environmental Considerations in Irrigation Development." In *Irrigation Potential in Africa: A Basin Approach*. Rome: FAO. http://www.fao.org/docrep/W4347E/w4347e10.htm.

Frid-Nielsen, S., J. Norman, D. Dinesh, and S. Vermeulen. 2013. "Evidence of Success: A Waste-Reducing Rice Thresher in Six West African Countries." *CGIAR Program on Climate Change, Agriculture and Food Security (CCAFS)*. Wageningen, the Netherlands: CCAFS.

Friedrich, J., M. Ge, and T. Damassa. 2015. "Infographic: What Do Your Country's Emissions Look Like?" Washington, DC: World Resources Institute. http://www.wri.org/blog/2015/06/infographic-what-do-your-countrys-emissions-look.

Friends of the Earth. 2017. "Meat of the Matter: A Municipal Guide to Climate-Friendly Food Purchasing." Washington, DC: Friends of the Earth.

Fritz, S., L. See, and F. Rembold. 2010. "Comparison of Global and Regional 729 Land Cover Maps with Statistical Information for the Agricultural Domain 730 in Africa." *International Journal of Remote Sensing* 31 (9): 2237–2256.

Fry, J., and W. Finley. 2005. "The Prevalence and Costs of Obesity in the EU." *Proceedings of the Nutritional Society* 64: 359–362.

Fry, J., N. Mailloux, D. Love, M. Milli, and L. Cao. 2018. "Feed Conversion Efficiency in Aquaculture: Do We Measure It Correctly?" *Environmental Research Letters* 13 (2) (024017).

Fthenakis, V. 2012. "How Long Does It Take for Photovoltaics to Produce the Energy Used?" *National Association of Professional Engineers Magazine*, February 16–17.
Fthenakis, V., and H.C. Kim. 2009. "Land Use and Electricity Generation: A Life-Cycle Analysis." *Renewable Sustainable Energy Review* 13: 1465-1474.

Fuglie, K. 2012. "Productivity Growth and Technology Capital in the Global Agricultural Economy." In *Productivity Growth in Agriculture: An International Perspective*, edited by K. Fuglie, S.L. Wang, and V.E. Ball. Oxfordshire, UK: CAB International.

Fuglie, K., and A. Nin-Pratt. 2012. *Agricultural Productivity: A Changing Global Harvest*. 2012 Global Food Policy Report. Washington, DC: IFPRI (International Food Policy Research Institute).

Fuglie, K., P. Heisey, J. King, C.E. Pray, K. Day-Rubenstein, D. Schimmelpfennig, S.L. Wang, and R. Karmarkar-Deshmukh. 2011. *Research Investments and Market Structure in the Food Processing, Agricultural Input, and Biofuel Industries Worldwide*. Economic Research Report 130. Washington, DC: USDA Economic Research Service.

Fung, T.T., K.M. Rexrode, C.S. Mantzoros, J.E. Manson, W.C. Willett, and F.B. Hu. 2009. "Mediterranean Diet and Incidence of and Mortality from Coronary Heart Disease and Stroke in Women." *Circulation* 119 (8): 1093-1100.

Future Agricultures Consortium. 2008. "The Malawi Fertilizer Subsidy Programme: Politics and Pragmatism." Policy Brief 022. Sussex, UK: Future Agricultures Consortium.

Galbally, I.E., M.C.P. Meyer, Y. Wang, C. Smith, and I.A. Weeks. 2010. "Nitrous Oxide Emissions from a Legume Pasture and the Influences of Liming and Urine Addition." *Agriculture, Ecosystems & Environment* 136 (3-4): 262-272.

Gale, F. 2013. *Growth and Evolution in China's Agricultural Support Policies*. Economic Research Service Report no. 153. Washington, DC: U.S. Department of Agriculture. http://www.ers.usda.gov/publications/err-economic-research-report/err153.aspx.

Gallett, C. 2010. "Meat Meets Meta: A Quantitative Review of the Price Elasticity of Meat." *American Journal of Agricultural Economics* 92 (1): 258-272.

GAO (U.S. General Accounting Office). 2003. *Agricultural Conservation: USDA Needs to Better Ensure Protection of Highly Erodible Croplands and Wetlands*. Report to Democratic Ranking Member, Committee on Agriculture, Nutrition, and Forestry, U.S. Senate. April. https://www.gao.gov/new.items/d03418.pdf.

Gao, Y., G. Yu, C. Luo, and P. Zhou. 2012. "Groundwater Nitrogen Pollution and Assessment of Its Health Risks: A Case Study of a Typical Village in Rural-Urban Continuum, China." *PLOS ONE* 7 (4): e33982.

Garfield, L. 2017. "Spray This Invisible, Edible Coating on Produce and It Will Last Five Times Longer." *Business Insider*, January 16. http://www.businessinsider.com/apeel-sciences-food-edipeel-invisipeel-extend-life-2017-1.

Garnett, T. 2011. "Where Are the Best Opportunities for Reducing Greenhouse Gas Emissions in the Food System (Including the Food Chain)? Food Policy 36: S23-S32.

Garnett, T. 2014. "What Is a Sustainable Healthy Diet?" Discussion paper. Oxford, UK: Food Climate Research Network.

Garnett, T., and A. Wilkes. 2014. "Appetite for Change: Social, Economic and Environmental Transformations in China's Food System." Oxford, UK: Food Climate Research Network.

Garrity, D.P., M. Soekardi, M. van Noordwijk, R. de la Cruz, P.S. Pathak, H.P.M. Gunasena, N. Van So, et al. 1997. "The *Imperata* Grasslands of Tropical Asia: Area, Distribution and Typology." *Agroforestry Systems* 36: 3-29.

Gasnier, C., C. Dumont, N. Benachour, E. Clair, M.C. Chagnon, and G.E. Seralini. 2009. "Glyphosate-Based Herbicides Are Toxic and Endocrine Disruptors in Human Cell Lines." *Toxicology* 262: 184-191.

Gasparri, N.I., and H.R. Grau. 2009. "Deforestation and Fragmentation of Chaco Dry Forest in NW Argentina (1972-2007)." *Forest Ecology and Management* 258 (6): 913-921.

Gasparri, N.I., T. Kuemmerle, P. Meyfroidt, Y. le Polain de Waroux, and H. Kreft. 2016. "The Emerging Soybean Production Frontier in Southern Africa: Conservation Challenges and the Role of South-South Telecouplings." *Conservation Letters* 9 (1): 21-31.

Gassert, F., M. Landis, M. Luck, P. Reig, and T. Shiao. 2013. *Aqueduct Global Maps 2.0*. Washington, DC: World Resources Institute.

Gassert, F., M. Luck, and M. Landis. 2015. *Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs*. Washington, DC: World Resources Institute.

Gathala, M.K., J.K. Ladha, V. Kumar, Y.S. Saharawat, V. Kumar, P.K. Sharma, S. Sharma, and H. Pathak. 2011. "Tillage and Crop Establishment Affects Sustainability of South Asian Rice-Wheat System." *Agronomy Journal* 103 (4): 961-971.

GCP (Generation Challenge Programme). 2014. "About Us." Consultative Group on International Agricultural Research. www.generationcp.org/aboutus.

Gebhart, S., and R. Thomas. 2002. *Nutritive Value of Foods*. Washington, DC: USDA (U.S. Department of Agriculture).

Gentry, R.R., H.E. Froehlich, D. Grimm, P. Kareiva, M. Parke, M. Rust, S.D. Gaines, and B.S. Halpern. 2017. "Mapping the Global Potential for Marine Aquaculture." *Nature Ecology & Evolution* 1: 1317-1324.

Gepts, P. 2006. "Plant Genetic Resources Conservation and Utilization: The Accomplishments and Future of a Societal Insurance Policy." *Crop Science* 46: 2278-2292.

Gerber, P., T. Wassenaar, M. Rosales, V. Castel, and H. Steinfeld. 2007. "Environmental Impacts of a Changing Livestock Production: Overview and Discussion for a Comparative Assessment with Other Food Production Sectors." In *Comparative Assessment of the Environmental Costs of Aquaculture and Other Food Production Sectors: Methods for Meaningful Comparisons*, edited by D.M. Bartley, C. Brugère, D. Soto, P. Gerber, and B. Harvey. FAO/WFT Expert Workshop, April 24-28, 2006, Vancouver. Rome: FAO (Food and Agriculture Organization of the United Nations).

Gerber, P., T. Vellinga, K. Dietze, A. Falcucci, G. Gianni, J. Mounsey, L. Maiorano, et al. 2010. *Greenhouse Gas Emissions from the Dairy Sector: A Lifecycle Assessment*. Rome: FAO (Food and Agriculture Organization of the United Nations).

Gerber, P.J., H. Steinfeld, B. Henderson, A. Mottet, C. Opio, J. Dijkman, A. Falcucci, and G. Tempio. 2013. *Tackling Climate Change through Livestock: A Global Assessment of Emissions and Mitigation Opportunities*. Rome: FAO (Food and Agriculture Organization of the United Nations).

Gerber, J.S., K.M. Carlson, D. Makowski, N.D. Mueller, I. Garcia de Cortazar-Atauri, P. Havlík, M. Herrero, et al. 2016. "Spatially Explicit Estimates of N, O Emissions from Croplands Suggest Climate Mitigation Opportunities from Improved Fertilizer Management." *Global Change Biology* 22: 3383-3394.

German, L., G. Schoneveld, M. Skutch, R. Andriani, K. Obidzinski, P. Pacheco, H. Komarudin, et al. 2010a. "The Local Social and Environmental Impacts of Biofuel Feedstock Expansion." In *A Synthesis of Case Studies from Asia, Africa*