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A review of global-local-global linkages in economic land-use/cover change models

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 14, 期 5, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/ab0d33

关键词

global change drivers; local sustainability; land use change; leakage; spillovers

资金

  1. German Federal Ministry of Education and Research (BMBF) as part of the project STRIVE (Sustainable Trade and Innovation Transfer in the Bioeconomy)
  2. German Federal Ministry for Economic Cooperation and Development (BMZ)
  3. Robert Bosch Foundation
  4. NSF [SES-1463644, 1739253]
  5. USDA-NIFA [IND01053G2]
  6. USDANIFA [2016-67023-24637]
  7. Hatch/Multistate project [S1072]
  8. Hatch [100342]
  9. Division Of Behavioral and Cognitive Sci
  10. Direct For Social, Behav & Economic Scie [1739253] Funding Source: National Science Foundation
  11. NIFA [810900, 2016-67023-24637] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Global change drivers of land-use/cover change (LUCC) like population dynamics, economic development, and climate change are increasingly important to local sustainability studies, and can only be properly analyzed at fine-scales that capture local biophysical and socio-economic conditions. When sufficiently widespread, local feedback to stresses originating from global drivers can have regional, national, and even global impacts. A multiscale, global-to-local-to-global (GLG) framework is thus needed for comprehensive analyses of LUCC and leakage. The number of GLG-LUCC studies has grown substantially over the past years, but no reviews of this literature and their contributions have been completed so far. In fact, the largest body of literature pertains to global-to-local impacts exclusively, whereas research on local feedback to regional, national, and global spheres remain scarce, and are almost solely undertaken within large modeling institutes. As such, those are rarely readily accessible for modification and extension by outside contributors. This review of the recent GLG-LUCC studies calls for more open-source modeling and availability of data, arguing that the latter is the real constraint to more widespread analyses of GLG-LUCC impacts. Progress in this field will require contributions from hundreds of researchers around the world and from a wide variety of disciplines.

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