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A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets
Wetlands play important ecological, economic, and cultural roles in societies around the world. However, wetland degradation has become a serious ecological issue, raising the global sustainability concern. An accurate wetland map is essential for wetland management. Here we used a fuzzy method to c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479119/ https://www.ncbi.nlm.nih.gov/pubmed/23110105 http://dx.doi.org/10.1371/journal.pone.0047814 |
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author | Ma, Kun You, Liangzhi Liu, Junguo Zhang, Mingxiang |
author_facet | Ma, Kun You, Liangzhi Liu, Junguo Zhang, Mingxiang |
author_sort | Ma, Kun |
collection | PubMed |
description | Wetlands play important ecological, economic, and cultural roles in societies around the world. However, wetland degradation has become a serious ecological issue, raising the global sustainability concern. An accurate wetland map is essential for wetland management. Here we used a fuzzy method to create a hybrid wetland map for China through the combination of five existing wetlands datasets, including four spatially explicit wetland distribution data and one wetland census. Our results show the total wetland area is 384,864 km(2), 4.08% of China’s national surface area. The hybrid wetland map also shows spatial distribution of wetlands with a spatial resolution of 1 km. The reliability of the map is demonstrated by comparing it with spatially explicit datasets on lakes and reservoirs. The hybrid wetland map is by far the first wetland mapping that is consistent with the statistical data at the national and provincial levels in China. It provides a benchmark map for research on wetland protection and management. The method presented here is applicable for not only wetland mapping but also for other thematic mapping in China and beyond. |
format | Online Article Text |
id | pubmed-3479119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34791192012-10-29 A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets Ma, Kun You, Liangzhi Liu, Junguo Zhang, Mingxiang PLoS One Research Article Wetlands play important ecological, economic, and cultural roles in societies around the world. However, wetland degradation has become a serious ecological issue, raising the global sustainability concern. An accurate wetland map is essential for wetland management. Here we used a fuzzy method to create a hybrid wetland map for China through the combination of five existing wetlands datasets, including four spatially explicit wetland distribution data and one wetland census. Our results show the total wetland area is 384,864 km(2), 4.08% of China’s national surface area. The hybrid wetland map also shows spatial distribution of wetlands with a spatial resolution of 1 km. The reliability of the map is demonstrated by comparing it with spatially explicit datasets on lakes and reservoirs. The hybrid wetland map is by far the first wetland mapping that is consistent with the statistical data at the national and provincial levels in China. It provides a benchmark map for research on wetland protection and management. The method presented here is applicable for not only wetland mapping but also for other thematic mapping in China and beyond. Public Library of Science 2012-10-23 /pmc/articles/PMC3479119/ /pubmed/23110105 http://dx.doi.org/10.1371/journal.pone.0047814 Text en © 2012 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ma, Kun You, Liangzhi Liu, Junguo Zhang, Mingxiang A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title | A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title_full | A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title_fullStr | A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title_full_unstemmed | A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title_short | A Hybrid Wetland Map for China: A Synergistic Approach Using Census and Spatially Explicit Datasets |
title_sort | hybrid wetland map for china: a synergistic approach using census and spatially explicit datasets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479119/ https://www.ncbi.nlm.nih.gov/pubmed/23110105 http://dx.doi.org/10.1371/journal.pone.0047814 |
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