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A quantitative framework for assessing ecological resilience
- Source :
- Ecology & society., Ecology and Society, Vol 22, Iss 3, p 17 (2017)
- Publication Year :
- 2017
- Publisher :
- Resilience Alliance, 2017.
-
Abstract
- Quantitative approaches to measure and assess resilience are needed to bridge gaps between science, policy and management. In this paper, we revisit definitions of resilience and suggest a quantitative framework for assessing ecological resilience sensu Holling (1973). Ecological resilience as an emergent ecosystem phenomenon can be decomposed into complementary attributes (scales, adaptive capacity, thresholds and alternative regimes) that embrace the complexity inherent to ecosystems. Quantifying these attributes simultaneously provides opportunities to move from the assessment of specific resilience within an ecosystem towards a broader measurement of its general resilience. We provide a framework, based on testable hypotheses, which allows assessment of complementary attributes of ecological resilience. By implementing the framework in adaptive approaches to management, inference and modeling, key uncertainties can be reduced incrementally over time and learning about the general resilience of dynamic ecosystems maximized. Such improvements are needed because uncertainty about global environmental change impacts and their effects on resilience is high. Improved resilience assessments will ultimately facilitate an optimized use of limited resources for management.
- Subjects :
- 0106 biological sciences
Environmental change
Computer science
QH301-705.5
Inference
010603 evolutionary biology
01 natural sciences
Article
Ecological resilience
Ecosystem
Biology (General)
Resilience (network)
QH540-549.5
Adaptive capacity
inference
Ecology
business.industry
010604 marine biology & hydrobiology
ecological resilience
Environmental resource management
unifying framework
quantification
Approaches of management
business
Limited resources
management
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Ecology & society., Ecology and Society, Vol 22, Iss 3, p 17 (2017)
- Accession number :
- edsair.doi.dedup.....71848cbcc6e6b83b6994e7d607a59177