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Proceedings Paper

Landscape ecological risk assessment study in arid land
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Paper Abstract

The ecosystem risk assessment is an essential decision making system for predicting the reconstruction and recovery of a damaged ecosystem after intensive mankind activities. The sustainability of environment and resources of the lake ecosystem in arid districts have been paid close attention to by international communities as well as numerous experts and scholars. The ecological risk assessment offered a scientific foundation for making the decision and execution of ecological risk management. Bosten Lake, the largest inland freshwater lake in China, is the main water source of the industrial and agricultural production as well as the local residence in Yanqi basin, Kuara city and Yuri County in the southern Xinjiang. Bosten Lake also provides a direct water source for emergency transportation in the Lower Reaches of Tarim River. However, with the intensive utilizations of water and soil resources, the environmental condition in the Bosten Lake has become more and more serious. In this study, the theory and method of landscape ecological risk assessment has been practiced using 3S technologies combined with the frontier theory of landscape ecology. Defining the mainly risk resource including flood, drought, water pollution and rich nutrition of water has been evaluated based on the ecosystem risk assessment system. The main process includes five stages: regional natural resources analysis, risk receptor selection, risk sources evaluation, exposure and hazard analysis, and integrated risk assessment. Based on the risk assessment results, the environmental risk management countermeasure has been determined.

Paper Details

Date Published: 9 October 2007
PDF: 7 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66791D (9 October 2007); doi: 10.1117/12.733025
Show Author Affiliations
Lu Gong, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Xinjiang Key Lab. of Oasis Ecology (China)
Aniwaer Amut, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Xinjiang Key Lab. of Oasis Ecology (China)
Qingdong Shi, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Xinjiang Key Lab. of Oasis Ecology (China)
Gary Z. Wang, USDA Forest Service (United States)


Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)

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