Document Detail

A hybrid wetland map for China: a synergistic approach using census and spatially explicit datasets.
MedLine Citation:
PMID:  23110105     Owner:  NLM     Status:  MEDLINE    
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.
Kun Ma; Liangzhi You; Junguo Liu; Mingxiang Zhang
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-10-23
Journal Detail:
Title:  PloS one     Volume:  7     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2012  
Date Detail:
Created Date:  2012-10-30     Completed Date:  2013-04-11     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e47814     Citation Subset:  IM    
School of Nature Conservation, Beijing Forestry University, People's Republic of China.
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MeSH Terms
Databases, Factual
Fuzzy Logic
Geographic Mapping*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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