
Proceedings Paper
Impact assessment on ecosystem to climate change in Heihe River Basin in NW ChinaFormat | Member Price | Non-Member Price |
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Paper Abstract
Based on the field investigation, documents and the concept of vulnerability, we developed a set of index system about
vulnerability and adaptive capacity which influenced the ecosystem of Heihe River basin because of climate change. The
index system mainly included two kinds of factors, climate factors and other factors. The climate indicators include
humidity, annual rainfall, yearly temperature, etc; other factors include remote sensing data and socioeconomic materials,
such as annual grassland area change, etc. We utilize the method of Analytic Hierarchy Plan (AHP) to distribute the
weight of each indicator. We calculated quantitatively the vulnerability and adaptive capacity of the ecosystem to climate
change of 9 counties in Heihe River Basin in 2000, this results represent the status quo. According to the GCMs project,
the precipitation will rise by 27%, 19% and 30% when the concentration of CO2 double. The future vulnerability and
adaptive capacity to climate change of the ecosystem of 9 counties in Heihe River Basin when CO2 double were
calculated. The results show: (1)The ecological environment of the Heihe River Basin is incredibly vulnerable, on the
whole, and in different places in the basin, its vulnerable degree is different to some extent. (2)In the whole basin, the
comparatively low vulnerable ecosystem district is the upper reaches of the Heihe River. (3)In 2070, The most
vulnerable district is still the lower reaches of the basin.
Paper Details
Date Published: 9 October 2007
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667916 (9 October 2007); doi: 10.1117/12.731332
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667916 (9 October 2007); doi: 10.1117/12.731332
Show Author Affiliations
Landong Sun, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Lanzhou Regional Climate Ctr. (China)
Zhongmin Xu, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Lanzhou Regional Climate Ctr. (China)
Zhongmin Xu, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Zhenhe Ren, Nanjing Information Engineering Univ. (China)
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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