Satellite-data-based analysis of ecotope diversity on different spatial scales in China

Shengnan Ma; Tianxiang Yue

doi:10.1117/12.682161

9 June 2006 Satellite-data-based analysis of ecotope diversity on different spatial scales in China

Shengnan Ma, Tianxiang Yue

Proceedings Volume 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China; 62000S (2006) https://doi.org/10.1117/12.682161
Event: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 2005, Guiyan City, China

Abstract

Ecotope diversity of land-cover in China is calculated on 4 different spatial scales by means of the scaling diversity model. The calculation is based on land-cover database derived from remotely sensed data in the late of 1980s, the middle of 1990s and the late of 1990s. The calculation result shows that on national scale, ecotope diversity has a decrease trend during the period from the late of 1980s to the middle of 1990s and has an increase trend from the middle of 1990s to the late of 1990s; on economic-region scale, the central region and eastern region have more ecotope diversity than the western region; on provincial scale, for any one of the three economic regions, if a province, termed A, has more ecotope diversity than a compared province, termed B, in one period, A must have more ecotope diversity than B in other two periods generally; on county scale, 14 hot-spots of ecological diversity conservation have more ecotope diversity in the three periods. Ecotope diversity on national scale is more than the one on economic-region scale; ecotope diversity on economic-region scale is more than the one on provincial scale, which is more than the one on county scale.

Citation Download Citation

Shengnan Ma and Tianxiang Yue "Satellite-data-based analysis of ecotope diversity on different spatial scales in China", Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000S (9 June 2006); https://doi.org/10.1117/12.682161

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