Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes
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 l...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2014/798428 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832562732972376064 |
---|---|
author | Haiming Yan Jinyan Zhan Bing Liu Wei Huang Zhihui Li |
author_facet | Haiming Yan Jinyan Zhan Bing Liu Wei Huang Zhihui Li |
author_sort | Haiming Yan |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-4c7669c1226b409b855f45e2289961c6 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-4c7669c1226b409b855f45e2289961c62025-02-03T01:21:50ZengWileyAdvances in Meteorology1687-93091687-93172014-01-01201410.1155/2014/798428798428Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate ChangesHaiming Yan0Jinyan Zhan1Bing Liu2Wei Huang3Zhihui Li4State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, ChinaCollege of Geomatics, Shandong University of Science and Technology, No. 579 Qianwangang Road, Economic & Technical Development Zone, Qingdao, Shandong 266590, ChinaDepartment of Agricultural Economics and Rural Development, Georg-August-Universität Göttingen, Raum MZG 2016, Platz der Göttinger Sieben 5, 37073 Göttingen, GermanyInstitute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaThe 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.http://dx.doi.org/10.1155/2014/798428 |
spellingShingle | Haiming Yan Jinyan Zhan Bing Liu Wei Huang Zhihui Li Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes Advances in Meteorology |
title | Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes |
title_full | Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes |
title_fullStr | Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes |
title_full_unstemmed | Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes |
title_short | Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes |
title_sort | spatially explicit assessment of ecosystem resilience an approach to adapt to climate changes |
url | http://dx.doi.org/10.1155/2014/798428 |
work_keys_str_mv | AT haimingyan spatiallyexplicitassessmentofecosystemresilienceanapproachtoadapttoclimatechanges AT jinyanzhan spatiallyexplicitassessmentofecosystemresilienceanapproachtoadapttoclimatechanges AT bingliu spatiallyexplicitassessmentofecosystemresilienceanapproachtoadapttoclimatechanges AT weihuang spatiallyexplicitassessmentofecosystemresilienceanapproachtoadapttoclimatechanges AT zhihuili spatiallyexplicitassessmentofecosystemresilienceanapproachtoadapttoclimatechanges |