Ecology and Society· 2012Q1
An Indicator Framework for Assessing Agroecosystem Resilience
- 523citations
- Q1SCImago
- 2012year
Short summary
A new framework proposes 13 behavior-based indicators to assess the resilience of agroecosystems, acknowledging that precise measurement is too complex.
AI-generated from the title and abstract; the full text is not read.
Key points
- Presents a framework of 13 behavior-based indicators for agroecosystem resilience.
- Acknowledges the complexity of agroecosystems makes precise resilience measurement difficult.
- Indicators span different phases of the adaptive cycle and link social-ecological system aspects.
- Identifies points of intervention for managers to build resilience where vulnerability exists.
AI-generated from the title and abstract; the full text is not read.
Abstract
"Taking departure in the theory of resilience in social-ecological systems, we present an analysis and discussion of how resilience theory can be applied to agroecosystems. Building on the premise that agroecosystems are too complex for resilience to be measured in any precise manner, we delineate behavior-based indicators of resilience within agroecosystems. Based on a review of relevant literature, we present and discuss an index of 13 such indicators, which, when identified in an agroecosystem, suggest that it is resilient and endowed with the capacity for adaptation and transformation. Absence of these indicators identifies points of intervention for managers and stakeholders to build resilience where there is vulnerability. The indicators encompass various phases in the adaptive cycle and seek to link core aspects of social-ecological systems. We stress the strong societal need for building resilience in agroecosystems and advocate for a broader way of evaluating resilience in agroecosystems."
The authors' abstract, as published at the source. Ecology and Society, 2012 · DOI ↗
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Field: General Agricultural and Biological Sciences
General Agricultural and Biological SciencesAgricultural and Biological Sciences