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.
Highlights
The global food system is experiencing rapid and dramatic changes concurrent with global social-political and ecological changes
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
We agree with Darnhofer et al (2010a) in their opinion that farming systems are too complex to be measured in any precise way and as such are better served by developing resilience rules of thumb that are applicable across scales of time and space
Summary
The global food system is experiencing rapid and dramatic changes concurrent with global social-political and ecological changes. We agree with Darnhofer et al (2010a) in their opinion that farming systems are too complex to be measured in any precise way and as such are better served by developing resilience rules of thumb that are applicable across scales of time and space The difference in this case, is that we call them behavior-based indicators (see Carpenter et al 2001, 2006 for in-depth discussion about the difference between indicators and surrogates) and base our approach on the use of biotic indicators typically employed to monitor ecosystems, that technique has been applied to agroecosystems (Büchs 2003). Glover et al 2010, McKey et al controlling elements such as nutrients, water, and engineers, and align production energy with local ecological parameters
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
