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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhonglin Xu Chuanyan Zhao Zhaodong Feng Huanhua Peng Chao Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: National Laboratory of Western China's Environmental System, Lanzhou University, Lanzhou 730000, China (Zhonglin Xu; Zhaodong Feng; Huanhua Peng; Chao Wang) || Key Laboratory of Arid and Grassland Agroecology of Ministry of Education, L anzhou 730000, China (Chuanyan Zhao) |
| Abstract | To restore the human-disturbed natural ecosystem and to assess the impact of the projected future climatic change on the natural ecosystem at a plant community level or at a plant species level, the potential distribution of the community and the species under current climate conditions need to be understood. Therefore many methods have recently been developed to simulate the potential distribution of a particular community or species [1]. However, very little has been done to assess the potential distribution of Qinghai spruce (Picea crassifolia) in Qilian Mountains where the spruce forest is extremely important ecologically and hydrologically. This study used Maximum Entropy model to simulate the potential distribution of Qinghai spruce under current climatic conditions. The validity of the model was verified by comparing the simulated potential distribution with the observed distribution of the spruce. The result shows the model is feasible to simulate the potential distribution of Qinghai spruce. Then this model was used to assess the impact of the projected climatic changes on the distribution of the spruce. The distribution of the spruce under current climate condition was compared with that under the projected climatic change scenario. The areal extent of the potential distribution may increase by 1% under the projected climatic change scenario. In addition, this study revealed that Mean Maximum Temperature of Warmest Month and Mean Temperature of Wettest Quarter are the most important factors which controlling the potential distribution of Qinghai spruce among the 19 environmental and climatic factors used in this model. |
| File Size | 294767 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417792 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological system modeling Ecosystems Temperature distribution Ocean temperature Predictive models Entropy Environmental factors Computer aided software engineering Chaos Laboratories Qilian Mountains Conservation Ecology Qinghai Spruce Climate Change |
| Content Type | Text |
| Resource Type | Article |
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