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 |