Title of article
Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery
Author/Authors
Ellis، نويسنده , , Erle C. and Wang، نويسنده , , Hongqing and Xiao، نويسنده , , Hong Sheng and Peng، نويسنده , , Kui and Liu، نويسنده , , Xin-Ping and Li، نويسنده , , Shou Cheng and Ouyang، نويسنده , , Hua and Cheng، نويسنده , , Xu and Yang، نويسنده , , Lin Zhang، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2006
Pages
17
From page
457
To page
473
Abstract
Long-term ecological changes within densely populated landscapes account for a growing share of global environmental change. Measuring the causes and consequences of these changes remains a challenge because of their fine spatial scale and complexity. Here, we measure long-term ecological changes, circa 1950 to 2002, within six 1 km2 sites in densely populated rural China and in urban and suburban Baltimore, Maryland, USA using a standardized procedure for fine-scale feature-based ecological mapping from high spatial resolution (≤ 1 m) imagery. The median size of ecologically distinct landscape features (ecotopes) mapped by this procedure was just 520 m2, though size, count and perimeter of features varied considerably both within and between sites. Land management and vegetation cover changed substantially, over 28% to 87% of site areas, but most of this change occurred in small patches with area < 4000 m2. Landscape complexity also increased over time by the fragmentation of landscapes into a larger number of smaller features with an increasing diversity of ecotope classes. Detailed analysis of fine-scale landscape transformations helped identify the causes and consequences of ecologically significant changes within and across sites, including unexpected increases in perennial vegetation cover and the linkage of impervious surface area with population density. These and other results demonstrate the general utility of anthropogenic ecotope mapping as a tool for cross-site comparison and sampled regional estimates of long-term ecological changes within densely populated landscapes.
Keywords
Human dominated ecosystems , Land-use change , Feature-based mapping , Long-term ecological change , Landscape classification , Urban landscapes , suburbs , Villages , Ecological history , landscape ecology
Journal title
Remote Sensing of Environment
Serial Year
2006
Journal title
Remote Sensing of Environment
Record number
1574816
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