Program – 2018 Alberta Soil Science Workshop Tuesday, February 20, 2018 15:00 – 17:00 PM Registration and Refreshment break in Cafeteria 15:00 – 17:30 PM Pre-workshop on The Anthroposolic Soil (Multipurpose Room H1-16) Wednesday, February 21, 2018 7:00 AM Registration 7:00 – 8:00 AM Breakfast (Cafeteria) 8:00 – 12:00 PM Plenary Session (Auditorium) 10:00 – 10:25 AM Coffee and Refreshments (Cafeteria) 12:00 – 1:00 PM Lunch (Cafeteria) 1:00 – 2:25 PM Technology and Soil Science Technical Session (Multipurpose Room H1-16) Soil Fertility Technical Session (Auditorium) 2:25 – 2:45 PM Coffee and Refreshments 2:45 – 4:10 PM Technology and Soil Science Technical Session (Multipurpose Room H1-16) Soil Fertility Technical Session (Auditorium) 4:10 – 5:30 PM Poster Session 4:10 – 5:30 PM Refreshment and Appetizers (Cafeteria) 6:00 – 9:00 PM Banquet and Entertainment (Radisson Thursday, February 22, 2018
Farmer’s edge 10:00 – 10:25 Coffee and Refreshments – Cafeteria 10:25 – 11:10 New Paths to Extracting and Synthesizing Science in Management and Biomedicine: Is There a Future For Big Science in Soil Science? Dr. Krista Uggerslev Northern Alberta Institute of Technology 11:10 – 11:55 Ryan Starscream Aerial Services 12:00 – 1:00 Lunch – Cafeteria Wednesday, February 21, 2018 – Afternoon Concurrent Technical Sessions PM Agronomic Soil Fertility Auditorium Technology and Soil Science Multipurpose Room H1-16 1:00 – 1:05 Chair: Len Kryzanowski Alberta Agriculture and Forestry Preston Sorenson Maapera Analytics 1:05 – 1:25 Response of Industrial Hemp to Different Nitrogen Rates Grown on Luvisolic Soils in Peace Region of Alberta Jan Slaski1 and Khalil Ahmed2 1InnoTech Alberta, Vegreville, AB 2SARDA Ag Research, Falher, AB National Database pedon data entry tool - a step towards harnessing big data Javed Iqbal1, David Spiess1, Michael Bock2 and Ben Stewart 1Alberta Agriculture and Forestry, Edmonton, AB 2Agriculture and Agri-Food Canada, Ottawa, ON
Alberta’s rangelands, we developed spatially explicit organic carbon models for native ranges and tame pastures of a representative watershed in southern Alberta (Indian Farm Creek Watershed, 14,145 ha). We then assessed the long-term (30 years) impacts of several alternative livestock BMPs on the potential supply of two main carbon-related ES of soil organic carbon storage (SOC) and aboveground plant biomass production (AGB). Finally, we assessed the level of uncertainty in the supply of these ES from different livestock BMPs. The simulated response of SOC and AGB in native ranges and tame pastures varied among livestock BMPs, depending on timing and intensity of livestock grazing. The simulation results indicated gains in SOC from most of the livestock BMPs implemented, whereas relatively little gains or reductions in AGB were predicted under different livestock BMPs. However, predicted changes in SOC and AGB under different livestock BMPs varied across the watershed, depending on the ecological condition of the sites. Overall, our findings suggest that livestock BMPs have the potential to be a useful strategy to enhance the provision of multiple ES in Alberta’s rangelands. The information and knowledge developed in this study provide a baseline to assess whether appropriate livestock BMPs will lead to rangelands that can provide a sustainable livelihood to ranchers through rangeland good and services over the Effect of Grazing System on Greenhouse Gas Emissions from Grassland Soils on the Canadian Prairies Bharat Shrestha, Scott Chang, Edward Bork, Cam Carlyle and Karen Thompson Faculty of Agricultural Life and Environmental Sciences, University of Alberta, Edmonton, AB Mark S Boyce, James F. Cahill and Jessica Grenke Department of Biological Sciences, University of Alberta, Edmonton, AB Ray Desjardins and Ward Smith Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON Steven I. Apfelbaum Applied Ecological Services, Inc. 17921 Smith Road Brodhead, WI, USA Richard Teague Dept. of Ecosystem Science and Management, Texas A&M University, TX, USA Corresponding author: Abstract