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Proceedings Paper

Analysis on ecological security in the soft rock area of Middle Yellow River: a case study of Changchuan Watershed, Inner Mongolia, China
Author(s): Qingzhu Gao; Hongmei Xu; Yue Li; Yuan Jiang
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Paper Abstract

Ecological security of Chanchuan watershed in the soft rock area of Middle Yellow River was synthetically evaluated and multi-objective programming of land use was forwarded by using RS and GIS techniques along with systems analysis methods. Moreover, according to the landscape ecology theory, digitalized optimum spatial patterns and rational proportion of land use were obtained through computer-aided adjustment with GIS software to get visible images of land use pattern that guarantees ecological security at Changchuan watershed. The results of comprehensive evaluation on ecological security of land use at Changchuan watershed indicate that measures of soil erosion control, ecological and environmental construction has certainly improved the situation of ecological security of this region during past decades, but the current situation of ecological security was not satisfactory. The results of multi-objective programming of land use pattern based on the ecological security evaluation indicate the optimum land use structure should be 3.7% of woodland, 38.6% of brushwood, 49.4% of grassland and 6.3% of crop land. Their spatial distributions were also patterned in light of requirement of ecological security. The average ESI in this region is leveled at relative secure, figuring at around 0.85.

Paper Details

Date Published: 31 July 2005
PDF: 12 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58841P (31 July 2005); doi: 10.1117/12.626665
Show Author Affiliations
Qingzhu Gao, Institute of Agricultural Environment and Sustainable Development, CAAS (China)
Hongmei Xu, National Climate Ctr., China Meterological Administration (China)
Yue Li, Institute of Agricultural Environment and Sustainable Development, CAAS (China)
Yuan Jiang, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)

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