Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes"} (X) > partyWithName: Hongli Feng (X)
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Categories: Publication;
Types: Citation;
Tags: Acquisition,
Data Visualization & Tools,
Easement,
Evaluation,
Grasslands,
Abstract (from IOP Science): Global agriculture is challenged to increase soil carbon sequestration and reduce greenhouse gas emissions while providing products for an increasing population. Growing crop production could be achieved through higher yield per hectare (i.e. intensive farming) or more hectares (extensive farming), which however, have different ecological and environmental consequences. Multiple lines of evidence indicate that expanding cropland for additional production may lead to loss of vegetation and soil carbon, and threaten the survival of wildlife. New concerns about the impacts of extensive farming have been raised for the US Corn Belt, one of the world's most productive regions, as cropland...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Grasslands and Plains,
Landscapes,
North Central CASC,
Science Tools For Managers
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,
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,
Categories: Publication;
Types: Citation;
Tags: Conservation Easements,
Data Visualization & Tools,
Grasslands and Plains,
Landscapes,
North Central CASC,
Abstract: (From: Wiley Online Library) Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop‐specific yield‐weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, i.e., alfalfa, wheat, soybeans and maize. We define crop profits as a function of the weather‐driven yields, which are then used to model...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Grasslands,
Grasslands and Plains,
Landscapes,
North Central CASC,
The conversion of grassland to cropland in the Dakotas could imperil wildlife such as nesting waterfowl and contribute to the degradation of water quality in the Mississippi River watershed. However, high crop prices in recent years have contributed to a high rate of grassland to cropland conversion on private lands. In addition to these economic factors, changes in climate could exacerbate the challenge of protecting grasslands, as conditions may become more amenable to row crop production. The goal of this project was to work with grassland conservation managers to better target the use of funds allocated toward incentivizing grassland preservation in the Dakotas. Researchers identified the vulnerability of...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
Land use change ranges in each panel are in acres per thousand county acres. The white colored counties represent missing yields for at least one crop in all years.
Categories: Data;
Tags: Dakota,
Data Visualization & Tools,
Grasslands and Plains,
Landscapes,
North America,
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