2020
DOI: 10.1371/journal.pone.0240097
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Using a hybrid demand-allocation algorithm to enable distributional analysis of land use change patterns

Abstract: Future land use projections are needed to inform long-term planning and policy. However, most projections require downscaling into spatially explicit projection rasters for ecosystem service analyses. Empirical demand-allocation algorithms input coarse-level transition quotas and convert cells across the raster, based on a modeled probability surface. Such algorithms typically employ contagious and/or random allocation approaches. We present a hybrid seeding approach designed to generate a stochastic collectio… Show more

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Cited by 5 publications
(3 citation statements)
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“…Despite the progress made, the United States' Montréal Process reporting still contains significant gaps, most notably the lack of full geographic coverage of Alaska, Hawaii, and US territories. Looking ahead, the method is equally applicable to other input data and the remarkable improvements in mapping historical forest land use and cover [52,53] as well as potential future forests [54] will undoubtedly improve the scope and utility of forest fragmentation reporting in the United States.…”
Section: Discussionmentioning
confidence: 99%
“…Despite the progress made, the United States' Montréal Process reporting still contains significant gaps, most notably the lack of full geographic coverage of Alaska, Hawaii, and US territories. Looking ahead, the method is equally applicable to other input data and the remarkable improvements in mapping historical forest land use and cover [52,53] as well as potential future forests [54] will undoubtedly improve the scope and utility of forest fragmentation reporting in the United States.…”
Section: Discussionmentioning
confidence: 99%
“…gov/GIS/huc.html, accessed on 3 September 2020. Please see [38,39] for the forest land use data sets used in this study. The baseline forest raster-and watershed-level maps are available upon request.…”
Section: Data Availability Statementmentioning
confidence: 99%
“…The area of each HUC8 categorized with forested land was calculated from a baseline forest raster for the conterminous U.S. This raster was generated by harmonizing a map of the land base [33] with land use maps from the National Land Cover Dataset series [34][35][36][37] according to the methods of Brooks et al [38]. We constrained statewide forest areas to match tabulated 2016-2017 statewide total forest areas (Figure 3) as defined by the Resource Planning Act [39].…”
Section: Introductionmentioning
confidence: 99%