Land change variability and human–environment dynamics in the United States Great Plains. Drummond, M. A., Auch, R. F., Karstensen, K. A., Sayler, K. L., Taylor, J. L., & Loveland, T. R. Land Use Policy, 29(3):710–723, July, 2012.
Land change variability and human–environment dynamics in the United States Great Plains [link]Paper  doi  abstract   bibtex   
Land use and land cover changes have complex linkages to climate variability and change, biophysical resources, and socioeconomic driving forces. To assess these land change dynamics and their causes in the Great Plains, we compare and contrast contemporary changes across 16 ecoregions using Landsat satellite data and statistical analysis. Large-area change analysis of agricultural regions is often hampered by change detection error and the tendency for land conversions to occur at the local-scale. To facilitate a regional-scale analysis, a statistical sampling design of randomly selected 10km×10km blocks is used to efficiently identify the types and rates of land conversions for four time intervals between 1973 and 2000, stratified by relatively homogenous ecoregions. Nearly 8% of the overall Great Plains region underwent land-use and land-cover change during the study period, with a substantial amount of ecoregion variability that ranged from less than 2% to greater than 13%. Agricultural land cover declined by more than 2% overall, with variability contingent on the differential characteristics of regional human–environment systems. A large part of the Great Plains is in relatively stable land cover. However, other land systems with significant biophysical and climate limitations for agriculture have high rates of land change when pushed by economic, policy, technology, or climate forcing factors. The results indicate the regionally based potential for land cover to persist or fluctuate as land uses are adapted to spatially and temporally variable forcing factors.
@article{drummond_land_2012,
	title = {Land change variability and human–environment dynamics in the {United} {States} {Great} {Plains}},
	volume = {29},
	issn = {0264-8377},
	url = {https://www.sciencedirect.com/science/article/pii/S0264837711001347},
	doi = {10.1016/j.landusepol.2011.11.007},
	abstract = {Land use and land cover changes have complex linkages to climate variability and change, biophysical resources, and socioeconomic driving forces. To assess these land change dynamics and their causes in the Great Plains, we compare and contrast contemporary changes across 16 ecoregions using Landsat satellite data and statistical analysis. Large-area change analysis of agricultural regions is often hampered by change detection error and the tendency for land conversions to occur at the local-scale. To facilitate a regional-scale analysis, a statistical sampling design of randomly selected 10km×10km blocks is used to efficiently identify the types and rates of land conversions for four time intervals between 1973 and 2000, stratified by relatively homogenous ecoregions. Nearly 8\% of the overall Great Plains region underwent land-use and land-cover change during the study period, with a substantial amount of ecoregion variability that ranged from less than 2\% to greater than 13\%. Agricultural land cover declined by more than 2\% overall, with variability contingent on the differential characteristics of regional human–environment systems. A large part of the Great Plains is in relatively stable land cover. However, other land systems with significant biophysical and climate limitations for agriculture have high rates of land change when pushed by economic, policy, technology, or climate forcing factors. The results indicate the regionally based potential for land cover to persist or fluctuate as land uses are adapted to spatially and temporally variable forcing factors.},
	language = {en},
	number = {3},
	urldate = {2023-07-05},
	journal = {Land Use Policy},
	author = {Drummond, Mark A. and Auch, Roger F. and Karstensen, Krista A. and Sayler, Kristi L. and Taylor, Janis L. and Loveland, Thomas R.},
	month = jul,
	year = {2012},
	keywords = {Terrestrial Ecoregions (CEC 1997)},
	pages = {710--723},
}

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