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Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors
Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodol...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597728/ https://www.ncbi.nlm.nih.gov/pubmed/31249308 http://dx.doi.org/10.1038/s41597-019-0084-8 |
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author | Oakleaf, James R. Kennedy, Christina M. Baruch-Mordo, Sharon Gerber, James S. West, Paul C. Johnson, Justin A. Kiesecker, Joseph |
author_facet | Oakleaf, James R. Kennedy, Christina M. Baruch-Mordo, Sharon Gerber, James S. West, Paul C. Johnson, Justin A. Kiesecker, Joseph |
author_sort | Oakleaf, James R. |
collection | PubMed |
description | Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “development potential indices” (DPIs), for 13 sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource potential and development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned development. We illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns. |
format | Online Article Text |
id | pubmed-6597728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65977282019-06-28 Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors Oakleaf, James R. Kennedy, Christina M. Baruch-Mordo, Sharon Gerber, James S. West, Paul C. Johnson, Justin A. Kiesecker, Joseph Sci Data Data Descriptor Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “development potential indices” (DPIs), for 13 sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource potential and development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned development. We illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns. Nature Publishing Group UK 2019-06-27 /pmc/articles/PMC6597728/ /pubmed/31249308 http://dx.doi.org/10.1038/s41597-019-0084-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Oakleaf, James R. Kennedy, Christina M. Baruch-Mordo, Sharon Gerber, James S. West, Paul C. Johnson, Justin A. Kiesecker, Joseph Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title | Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title_full | Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title_fullStr | Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title_full_unstemmed | Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title_short | Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
title_sort | mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597728/ https://www.ncbi.nlm.nih.gov/pubmed/31249308 http://dx.doi.org/10.1038/s41597-019-0084-8 |
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