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Spatially explicit assessment of ecosystem resilience: an approach to adapt to climate changes

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dc.contributor.author Yan, Haiming
dc.contributor.author Zhan, Jinyan
dc.contributor.author Liu, Bing
dc.contributor.author Huang, Wei
dc.contributor.author Li, Zhihui
dc.date.accessioned 2014-11-26T02:25:22Z
dc.date.available 2014-11-26T02:25:22Z
dc.date.issued 2014-02-19
dc.identifier.citation Yan, H., Zhan, J., Liu, B., Huang, W., & Li, Z. (2014). Spatially explicit assessment of ecosystem resilience: an approach to adapt to climate changes. Advances in Meteorology, Article ID 798428. en_GB
dc.identifier.other DOI: http://dx.doi.org/10.1155/2014/798428
dc.identifier.uri http://www.taccire.sua.ac.tz/handle/123456789/307
dc.description This article is available at http://dx.doi.org/10.1155/2014/798428 en_GB
dc.description.abstract The ecosystem resilience plays a key role in maintaining a steady flow of ecosystem services and enables quick and flexible responses to climate changes, and maintaining or restoring the ecosystem resilience of forests is a necessary societal adaptation to climate change; however, there is a great lack of spatially explicit ecosystem resilience assessments. Drawing on principles of the ecosystem resilience highlighted in the literature, we built on the theory of dissipative structures to develop a conceptual model of the ecosystem resilience of forests. A hierarchical indicator system was designed with the influencing factors of the forest ecosystem resilience, including the stand conditions and the ecological memory, which were further disaggregated into specific indicators. Furthermore, indicator weights were determined with the analytic hierarchy process (AHP) and the coefficient of variation method. Based on the remote sensing data and forest inventory data and so forth, the resilience index of forests was calculated.The result suggests that there is significant spatial heterogeneity of the ecosystem resilience of forests, indicating it is feasible to generate large scale ecosystem resilience maps with this assessment model, and the results can provide a scientific basis for the conservation of forests, which is of great significance to the climate change mitigation. en_GB
dc.description.sponsorship This research was supported by the Project of the National Natural Science Foundation of China (Grant no. 41071343), The National Basic Research Program of China (973 Program) (Grant no. 2010CB950900), and the Key Project in the National Science & Technology Pillar Program of China (no. 2013BAC03B00). Data support from the projects funded by the National Natural Science Foundation of China (Grant no. 71225005, and Grant no.40801231) en_GB
dc.language.iso en en_GB
dc.publisher Hindawi Publishing Corporation en_GB
dc.subject Ecosystem en_GB
dc.subject Ecosystem resilience en_GB
dc.subject Climate Change en_GB
dc.subject Adaptation en_GB
dc.subject Forests en_GB
dc.subject Climate change mitigation en_GB
dc.title Spatially explicit assessment of ecosystem resilience: an approach to adapt to climate changes en_GB
dc.type Article en_GB


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