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Biocapacity optimization in regional planning
Ecological overshoot has been accelerating across the globe. Optimizing biocapacity has become a key to resolve the overshoot of ecological demand in regional sustainable development. However, most literature has focused on reducing ecological footprint but ignores the potential of spatial optimizat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253737/ https://www.ncbi.nlm.nih.gov/pubmed/28112224 http://dx.doi.org/10.1038/srep41150 |
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author | Guo, Jianjun Yue, Dongxia Li, Kai Hui, Cang |
author_facet | Guo, Jianjun Yue, Dongxia Li, Kai Hui, Cang |
author_sort | Guo, Jianjun |
collection | PubMed |
description | Ecological overshoot has been accelerating across the globe. Optimizing biocapacity has become a key to resolve the overshoot of ecological demand in regional sustainable development. However, most literature has focused on reducing ecological footprint but ignores the potential of spatial optimization of biocapacity through regional planning of land use. Here we develop a spatial probability model and present four scenarios for optimizing biocapacity of a river basin in Northwest China. The potential of enhanced biocapacity and its effects on ecological overshoot and water consumption in the region were explored. Two scenarios with no restrictions on croplands and water use reduced the overshoot by 29 to 53%, and another two scenarios which do not allow croplands and water use to increase worsened the overshoot by 11 to 15%. More spatially flexible transition rules of land use led to higher magnitude of change after optimization. However, biocapacity optimization required a large amount of additional water resources, casting considerable pressure on the already water-scarce socio-ecological system. Our results highlight the potential for policy makers to manage/optimize regional land use which addresses ecological overshoot. Investigation on the feasibility of such spatial optimization complies with the forward-looking policies for sustainable development and deserves further attention. |
format | Online Article Text |
id | pubmed-5253737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52537372017-01-24 Biocapacity optimization in regional planning Guo, Jianjun Yue, Dongxia Li, Kai Hui, Cang Sci Rep Article Ecological overshoot has been accelerating across the globe. Optimizing biocapacity has become a key to resolve the overshoot of ecological demand in regional sustainable development. However, most literature has focused on reducing ecological footprint but ignores the potential of spatial optimization of biocapacity through regional planning of land use. Here we develop a spatial probability model and present four scenarios for optimizing biocapacity of a river basin in Northwest China. The potential of enhanced biocapacity and its effects on ecological overshoot and water consumption in the region were explored. Two scenarios with no restrictions on croplands and water use reduced the overshoot by 29 to 53%, and another two scenarios which do not allow croplands and water use to increase worsened the overshoot by 11 to 15%. More spatially flexible transition rules of land use led to higher magnitude of change after optimization. However, biocapacity optimization required a large amount of additional water resources, casting considerable pressure on the already water-scarce socio-ecological system. Our results highlight the potential for policy makers to manage/optimize regional land use which addresses ecological overshoot. Investigation on the feasibility of such spatial optimization complies with the forward-looking policies for sustainable development and deserves further attention. Nature Publishing Group 2017-01-23 /pmc/articles/PMC5253737/ /pubmed/28112224 http://dx.doi.org/10.1038/srep41150 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Guo, Jianjun Yue, Dongxia Li, Kai Hui, Cang Biocapacity optimization in regional planning |
title | Biocapacity optimization in regional planning |
title_full | Biocapacity optimization in regional planning |
title_fullStr | Biocapacity optimization in regional planning |
title_full_unstemmed | Biocapacity optimization in regional planning |
title_short | Biocapacity optimization in regional planning |
title_sort | biocapacity optimization in regional planning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253737/ https://www.ncbi.nlm.nih.gov/pubmed/28112224 http://dx.doi.org/10.1038/srep41150 |
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