Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Kun, You, Liangzhi, Liu, Junguo, Zhang, Mingxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
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
_version_ 1782247408005021696
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
work_keys_str_mv AT makun ahybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT youliangzhi ahybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT liujunguo ahybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT zhangmingxiang ahybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT makun hybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT youliangzhi hybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT liujunguo hybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets
AT zhangmingxiang hybridwetlandmapforchinaasynergisticapproachusingcensusandspatiallyexplicitdatasets