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A quantitative framework for assessing ecological resilience.

Didier L Baho1, Craig R Allen2, Ahjond S Garmestani3

  • 1Norwegian Institute for Water Research, Gaustadalléen, 21 NO-0349 Oslo, Norway.

Ecology and Society : a Journal of Integrative Science for Resilience and Sustainability
|January 16, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a quantitative framework to assess ecological resilience, breaking it down into key attributes. This approach aims to improve understanding and management of dynamic ecosystems facing global environmental change.

Keywords:
ecological resilienceengineering resilienceinferencemanagementquantificationunifying framework

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Area of Science:

  • Ecology
  • Environmental Science
  • Conservation Biology

Background:

  • Quantitative methods are crucial for assessing ecological resilience to bridge science, policy, and management.
  • Existing resilience definitions require a more comprehensive and measurable framework.

Purpose of the Study:

  • To propose a quantitative framework for assessing ecological resilience, building upon Holling's (1973) seminal work.
  • To decompose ecological resilience into measurable attributes: scales, adaptive capacity, thresholds, and alternative regimes.

Main Methods:

  • Revisiting and refining definitions of ecological resilience.
  • Developing a framework based on testable hypotheses to quantify resilience attributes.
  • Integrating the framework with adaptive management, inference, and modeling approaches.

Main Results:

  • The proposed framework allows for the simultaneous quantification of complementary resilience attributes.
  • This enables a shift from assessing specific ecosystem resilience to measuring general resilience.
  • Implementation in adaptive management can incrementally reduce uncertainties over time.

Conclusions:

  • Improved quantitative assessments of ecological resilience are vital for managing dynamic ecosystems under global environmental change.
  • The framework facilitates optimized resource allocation for effective environmental management.
  • Enhanced understanding of general resilience is key to navigating ecological complexity and uncertainty.