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Abstract (from http://econpapers.repec.org/paper/agsaaea16/235895.htm): We evaluate the regional-level agricultural impacts of climate change in the Northern Great Plains. We first estimate a non-linear yield-weather relationship for all major commodities in the area: corn, soybeans, spring wheat and alfalfa. We separately identify benevolent and harmful temperature thresholds for each commodity, and control for severe-to-extreme dry/wet conditions in our yield models. Analyzing all major commodities in a region extends the existing literature beyond just one crop, most typically corn yields. Alfalfa is particularly interesting since it is a legume-crop that is substitutable with grasses as animal feed and rotated...
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This paper examines the impact of production network economies on designing cost-effective conservation targeting strategies. We first develop a theoretical model to study the decision to convert land from an extensive (or biodiversity-friendly) use to an intensive use (e.g., crop agriculture) in the presence of network economies in land use returns. The model supports the possibility of multiple land use equilibria due to network economies and identifies policy outcomes that increase welfare. Bandwagon effects can occur whereby spatial production spillovers from lands under intensive use can prompt further conversions on proximate lands under extensive use. Conversely, conservation sites can be placed strategically...
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Historical (1981-2005) vs. Projected (2031-’55) Yields. Each year’s crop yields are calculated as an average of all counties in North and South Dakota. Hashed representations of projected yields are from RCP 4.5 emissions scenario from seven GCMs, namely CESM (Community Earth System Model), CNRM (Center National de Recherches Météorologiques (France)), GFDL (Geophysical Fluid Dynamics Laboratory), GISS (Goddard Institute of Space Studies), HADGEM (Hadley Global Environment Model), IPSL (Institut Pierre-Simon Laplace (France)) and MIROC (Model for Interdisciplinary Research on Climate). Median projection in a given year is calculated by taking the median yield value of the yield projections from each of seven climate...
Categories: Data;
Tags: Dakota,
Data Visualization & Tools,
Grasslands and Plains,
Landscapes,
North America, All tags...
North Central CASC,
North Dakota,
North Dakota and South Dakota,
Science Tools For Managers,
South Dakota,
agriculture,
biota,
climate change,
effects of climate change,
land use change, Fewer tags
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2006 Land Use in the Dakotas (Cropland Data Layer, USDA NASS). The color legend represents various land use types in the region.
Categories: Data;
Tags: Dakota,
Data Visualization & Tools,
Grasslands and Plains,
Landscapes,
North America, All tags...
North Central CASC,
North Dakota,
North Dakota and South Dakota,
Science Tools For Managers,
South Dakota,
agriculture,
biota,
climate change,
effects of climate change,
land use change, Fewer tags
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This study investigates optimal grassland easement acquisition strategies with a focus on the roles of environmental benefit additionality and spatial spillover effect of grassland conversion. Numerical analysis shows that the optimal solution under a targeting strategy that does not consider any spatial spillover effect may secure less environmental benefit additionality than does a heuristic algorithm that considers spatial spillover. Moreover, heuristic algorithms that consider either conversion probability or spatial spillover can generally achieve more than 97% of environmental benefit additionality obtained under the optimal solution of a targeting strategy that considers both additionality and spatial spillover.
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