# A Bibliographic Database on Economic Analysis of Natural Forest Disturbances

Claire Montagné-Huck, Marielle Brunette

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## To cite this version:

Claire Montagné-Huck, Marielle Brunette. A Bibliographic Database on Economic Analysis of Natural Forest Disturbances. Data in Brief, 2018, 20, pp.662-666. 10.1016/j.dib.2018.08.128. hal-02091626

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Data in Brief

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Data Article

# A bibliographic database on economic analysis of natural forest disturbances

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CrossMark

Claire Montagné-Huck, Marielle Brunette*

Université de Lorraine, Université de Strasbourg, AgroParisTech, CNRS, INRA, BETA, 54000, Nancy, France

## ARTICLE INFO

Article history:
Received 7 April 2018
Received in revised form
19 April 2018
Accepted 24 August 2018

## ABSTRACT

The data presented here are related to the research paper entitled "Economic Analysis of Natural Forest Disturbances: A Century of Research" (Montagné-Huck and Brunette, 2018). Natural disturbances have always affected forest ecosystems, altering or disrupting the flows of goods (wood, non-timber products, etc.) and services (scenic and recreation values, leisure pursuits, clean water, regulation of floods, etc.) provided by forests to human societies. Economic analysis can help private or public decision-makers take forest policy decisions by understanding the causes and consequences of forest disturbances, as well as evaluating tradeoffs in alternative policy scenarios. In consequence, the economic literature about natural disturbances is very rich and diversified.

This paper describes a bibliographic database gathering some 340 scientific papers related to the economic analysis of forest natural disturbances. Papers have been inventoried primarily thanks to searches on databases (JSTOR, ScienceDirect, Ingentaconnect and NRC Research Press) using specific keywords and the dataset have been completed by searching through literature-cited sections of papers. Relevant papers have been manually encoded into a database (Excel file) taking into consideration each type of hazard (storm, fire, snow, pests and diseases, etc.) and different economic approaches. Data cover papers published in English from 1916 to 2014.

© 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

<footnote>DOI of original article: https://doi.org/10.1016/j.jfe.2018.03.002</footnote>

<footnote>* Corresponding author.
E-mail address: marielle.brunette@inra.fr (M. Brunette).</footnote>
Specifications Table

<table><tr><td>Subject area</td><td>Economics</td></tr><tr><td>More specific subject area</td><td>Economic analysis of natural forest disturbances</td></tr><tr><td>Type of data</td><td>Table</td></tr><tr><td>How data was acquired</td><td>Bibliographic search and manual encoding from research articles</td></tr><tr><td>Data format</td><td>Raw</td></tr><tr><td>Experimental factors</td><td>340 articles dealing with economic analysis of natural disturbances (wildfire, pest, pathogen, storm, wildlife, ice/snow and other or multiple hazards) were obtained through an extensive literature review process and were included according to the inclusion criteria stated in [1]. Data concerning publication references, case study specification and method used in the paper were extracted from the included studies and described below.</td></tr><tr><td>Experimental features</td><td>Literature review was performed, analyzing the 340 articles included according to each hazard type.</td></tr><tr><td>Data source location</td><td>Africa, America, Asia, Europe, Oceania</td></tr><tr><td>Data accessibility</td><td>Data provided with this article</td></tr></table>

Value of the data

* Data cover 340 scientific articles in the field of economic analysis of forest disturbances.

* Data allow for literature reviews in the field of economic analysis of forest disturbances either by hazard or by economic approach.

* Data were used in [1] in order to conduct a survey on how economic analysis deals with forest disturbances related issues, synthesizing the existing knowledge, characterizing forest disturbances and identifying gaps in the literature.

1. Data

The database is an original Excel file that includes some 340 scientific papers dealing with the economic analysis of forest natural disturbances. Data cover papers published in English from 1916 to 2014. Each line of the sheet represents an article; each column of the sheet represents a variable. Papers are encoded in the database according to 3 types of variables: variables concerning the references of the article; variables specifying the case study, if any; variables providing information on the method used by the author(s). Table 1 provides the description and encoding values for the variables (note that detailed variable description and encoding are also available in the spreadsheet – cf. “read-me” sheet).

2. Experimental design, materials and methods

We conducted a systematic literature research during the spring of 2014 using combinations of three keywords on four databases/search engines: JSTOR, ScienceDirect, Ingentaconnect and NRC Research Press. Each search combined the keywords for searching in papers' full-text as follows: Forest* AND Economic* AND specific keyword related to the analyzed disturbance. For each hazard, we tried the following specific keywords:

* Wildfire: wildfire OR fire OR prescribed burning OR fuel management OR fuel treatment OR fuel reduction OR fuel break

* Pest: pest OR epidemic OR infestation OR insect
<table><caption>**Table 1**
Variables registered in the database (adapted from [1]).</caption><thead><tr><th>Type of variable</th><th>Variable name</th><th>Content</th><th>Format</th><th>Comments</th><th>Descriptive data</th></tr></thead><tbody><tr><td rowspan="2">Reference of the paper</td><td>Id-Art</td><td>Identifier of the article<br/>nl</td><td>Character</td><td>Number (n) corresponds to the paper number and letter (l) corresponds to hazard's first letters (w=wildfire, pe=pest, pa=pathogen, s=storm, wd=wildlife damage, is=ice snow, mh=multiple hazards)</td><td>N = 340</td></tr><tr><td>Hazard</td><td>Type of hazard studied in the paper</td><td>Character</td><td>wildfire<br/>pest<br/>pathogen<br/>storm<br/>wildlife damage<br/>ice snow<br/>multiple hazards</td><td>n.w = 210<br/>n.pe = 65<br/>n.pa = 16<br/>n.s = 16<br/>n.wd = 5<br/>n.is = 4<br/>n.mh = 24</td></tr><tr><td rowspan="2">Case study<br/>specifica-<br/>tion</td><td>Author 1</td><td>Name of the first author of the paper</td><td>Character</td><td></td><td>Africa = 0<br/>America = 271<br/>Asia = 7<br/>Europe = 51<br/>Oceania = 10</td></tr><tr><td>Country A1</td><td>Country of the first author of the paper</td><td>Character</td><td></td><td>Min = 1916<br/>Max = 2014</td></tr><tr><td rowspan="2">Case study<br/>specifica-<br/>tion</td><td>Year</td><td>Year of publication</td><td>Numeric</td><td></td><td>Africa = 2<br/>America = 274<br/>Asia = 4<br/>Europe = 50<br/>Oceania = 6<br/>Worldwide = 1</td></tr><tr><td>Art tit<br/>Review<br/>Country CS</td><td>Article title<br/>Journal title<br/>Country where the case study takes place</td><td>Character<br/>Character<br/>Character</td><td></td><td></td></tr><tr><td rowspan="2">Method used<br/>in the paper</td><td>State CS</td><td>State of the country where the case study takes place</td><td>Character</td><td></td><td></td></tr><tr><td>Forest type<br/>Approach<br/>Category</td><td>Tree species<br/>Theoretical/Empirical/Both<br/>Valuing economic impact/<br/>Decision making</td><td>Character<br/>Character<br/>Character</td><td>Scientific names</td><td>The meaning of the variable “category” is defined as follows: “Valuing the economic impacts of forest disturbances” includes the articles in which an accounting of the costs and economic losses due to forest disturbances is carried out (e.g., the impact of forest disturbances on timber markets, willingness-to-pay for programs to reduce the risk, etc.).</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td>n.impact = 79<br/>n.<br/>response = 261</td></tr></tbody></table>
<table><tr><td>Type of analysis</td><td>Type of economic approach</td><td>Character</td><td>"Decision-making in response to forest disturbance" covers articles that serve as a support to decision-makers (e.g., insurance decision, investment decision, optimal rotation under risk, etc.).</td><td></td></tr><tr><td>Kwd Method</td><td>Keywords relative to the method used</td><td>Character</td><td>Cost and benefit assessment (CBA)</td><td>n.CBA = 89</td></tr><tr><td>Kwd Topic</td><td>Keywords relative to the topic analyzed</td><td>Character</td><td>Efficiency analysis (EA)</td><td>n.EA = 127</td></tr><tr><td>Pre-event</td><td>Study's time positioning relative to hazardous event</td><td>Dummy</td><td>Risk management (RM)</td><td>n.RM = 53</td></tr><tr><td>Event Post-event</td><td>occurrence</td><td>Dummy Dummy</td><td>Wildland-urban interface (WUI)</td><td>n.WUI = 70</td></tr><tr><td>Temporality</td><td>Static or dynamic analysis</td><td>Character</td><td>Literature review (LR)</td><td>n.LR = 1</td></tr><tr><td>Spatial analysis</td><td>Spatial analysis or not</td><td>Character</td><td></td><td></td></tr><tr><td>Purpose of the article</td><td>Free text describing the aim of the paper</td><td>Character</td><td></td><td></td></tr><tr><td>Abstract</td><td>Abstract of the paper if any, main conclusions otherwise</td><td>Character</td><td></td><td></td></tr><tr><td>Reference</td><td>Comprehensive article reference</td><td>Character</td><td></td><td></td></tr></table>
* Pathogen: pathogen OR disease OR infection

* Storm: storm OR hurricane OR tornado OR cyclone OR typhoon OR wind OR windstorm OR windthrow OR gale OR straight line wind

* Wildlife damage: browsing OR debark

* Snow - Ice: snow OR ice

* Other abiotic disturbances: drought OR flood OR landslide OR volcano

* Other, multiple hazards: catastrophe OR damage OR mortality OR disturbance OR hazard OR risk OR stochastic OR uncertainty.

Complementarily, we used the reference lists of the identified papers to add other relevant articles into the database. We only include articles that are published in English. We then collected 340 papers. The comprehensive list is presented in Appendix A: Supplementary material.

Note that we did not find any article using the defined keywords for the category "Other abiotic disturbances". Thus, such disturbances (drought, flood, landslide, and volcano) do not appear in the database.

"Other, multiple hazards" category gathers papers that we cannot classify into the previous ones because they deal with non-specified natural hazard or with several natural hazards or with another type of hazard (e.g., hydrogeological hazard). See [1] for details.

## Acknowledgements

This work was supported by the French National Research Agency (ANR) project, FORWIND (ANR-12-AGRO-0007). We are grateful to Florian Lecocq for the work he did during his internship at the Laboratory of Forest Economics (INRA-AgroParisTech).

The UMR BETA is supported by a grant from the French National Research Agency (ANR) as part of the "Investissements d'Avenir" program (ANR-11-LABX-0002-01), ARBRE Lab of Excellence.

## Transparency document. Supporting information

Transparency data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2018.08.128.

## Appendix A. Supporting information

Supplementary data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2018.08.128.

## Reference

[1] C. Montagné-Huck, M. Brunette, Economic analysis of natural forest disturbances: a century of research, J. For. Econ. 32 (2018) 42–71.