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Keywords = Chinese Ramsar site

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21 pages, 2572 KiB  
Article
Land Cover Change and Fragmentation Within China’s Ramsar Sites
by Karen Kie Yan Chan, Zhehao Ren, Yufu Liu, Hang Song, Yuqi Bai and Bing Xu
Remote Sens. 2025, 17(5), 896; https://doi.org/10.3390/rs17050896 - 4 Mar 2025
Viewed by 180
Abstract
The Ramsar Convention is a global endeavor for the protection of wetlands. However, there is limited research on its efficacy in safeguarding China’s wetlands. This study aims to identify differences within Chinese Ramsar sites and their surrounding areas over the past three decades. [...] Read more.
The Ramsar Convention is a global endeavor for the protection of wetlands. However, there is limited research on its efficacy in safeguarding China’s wetlands. This study aims to identify differences within Chinese Ramsar sites and their surrounding areas over the past three decades. This assessment was conducted using extensive land cover maps created by ESA CCI (European Space Agency Climate Change Initiative) through the classification of remote sensing data using the LCCS (Land Cover Classification System) and other systems specified by the IPCC (Intergovernmental Panel on Climate Change), in addition to ecoregion maps. Three primary assessments were performed: detection of change in land covers, fragmentation using effective mesh size and driver analysis using a random forest classifier. The findings indicate significant land cover changes within both Ramsar sites and their surrounding areas. Tree cover and grasslands showed the largest decrease in land cover while flooded shrubs and herbaceous cover showed the largest increase within the Ramsar sites. In contrast, urban areas had the largest overall change in the surrounding areas, with twice the increase compared to the areas within the Ramsar sites. Most land cover changes within the Ramsar sites occurred closest to their boundaries where more human interactions occurred. It was also found that the fragmentation of flooded vegetation and water was also greater in areas surrounding the Ramsar sites in comparison to areas within the sites. This study also identified human activity as the primary driver of all observed changes, especially for wetlands. The differences observed indicate the effectiveness of Chinese Ramsar sites in wetlands protection and provide invaluable information for future strategic planning. Full article
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Ramsar Sites and Udvardy ecoregions in China.</p>
Full article ">Figure 2
<p>Methodology Flowchart.</p>
Full article ">Figure 3
<p>Changes in China’s mean effective mesh size of flooded vegetation, water and urban areas. Figure (<b>a</b>) shows the change in mean effective mesh size for Ramsar sites within China. Figure (<b>b</b>) shows the change in mean effective mesh size for the surrounding areas within China. Figure (<b>c-1</b>) shows the change in mean effective mesh size as a percentage of the initial value in both the Ramsar sites and surrounding areas for the various land covers. Figure (<b>c-2</b>) shows the change in mean effective mesh size as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers where the percentage change is above 10%.</p>
Full article ">Figure 4
<p>Changes in China’s total area of flooded vegetation, water and urban areas. Figure (<b>a</b>) shows the change in total area for Ramsar sites within the land covers. Figure (<b>b</b>) shows the change in total area for surrounding areas within the land covers. Figure (<b>c-1</b>) shows the change in total area as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers. (<b>c-2</b>) shows the change in total area as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers where the percentage change is above 4%.</p>
Full article ">Figure 5
<p>Temporal trends in feature importance in land cover lost or gained (Chinese Ramsar sites). Figure (<b>a</b>) shows the annual importance of various drivers over the 2000–2020 period. Figure (<b>b</b>) depicts stacked bar charts of the importance of drivers for each year from 2000 to 2020. The <span class="html-italic">X</span>-axis represents the year and the <span class="html-italic">Y</span>-axis represents the feature importance.</p>
Full article ">
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