TY - JOUR
T1 - Resilience-performance trade-offs in managing social-ecological systems
AU - Homayounfar, Mehran
AU - Muneepeerakul, Rachata
AU - Anderies, John M.
N1 - Funding Information:
MH and RM acknowledge support from the Army Research Office/ Army Research Laboratory. This research was supported by the Army Research Office/Army Research Laboratory under award no. W911NF1810267 (Multidisciplinary University Research Initiative). The views and conclusions in this document are those of the authors and should not be interpreted as representing the official policies either expressed or implied of the Army Research Office or the United States Government.
Publisher Copyright:
© 2022 by the author(s).
PY - 2022
Y1 - 2022
N2 - Resilience-based approaches have been attracting attention in governing social-ecological systems facing rapid social and environmental changes. In this article, we investigate the governance policies that focus on resilience. Our analysis is built on a stylized dynamical model that mathematically operationalizes a widely used conceptual framework, which links social components, natural resources, and infrastructure in social-ecological systems. Specifically, we numerically solve the Hamilton-Jacobi-Bellman (HJB) equation to determine policies—in the form of investment in public infrastructure—that maximize a quantitative metric of the system’s resilience. For comparison purposes, we also derive policies that maximize the system’s performance and discuss the differences between and implications of the two policies. The results showed that a policy that maximizes performance results in sub-optimal resilience and vice versa. Moreover, our sensitivity analysis suggests that managing resilience requires that one be more responsive to changes in external forcing.
AB - Resilience-based approaches have been attracting attention in governing social-ecological systems facing rapid social and environmental changes. In this article, we investigate the governance policies that focus on resilience. Our analysis is built on a stylized dynamical model that mathematically operationalizes a widely used conceptual framework, which links social components, natural resources, and infrastructure in social-ecological systems. Specifically, we numerically solve the Hamilton-Jacobi-Bellman (HJB) equation to determine policies—in the form of investment in public infrastructure—that maximize a quantitative metric of the system’s resilience. For comparison purposes, we also derive policies that maximize the system’s performance and discuss the differences between and implications of the two policies. The results showed that a policy that maximizes performance results in sub-optimal resilience and vice versa. Moreover, our sensitivity analysis suggests that managing resilience requires that one be more responsive to changes in external forcing.
KW - Hamilton-Jacobi-Bellman (HJB)
KW - dynamic optimization
KW - ecological resilience
KW - resilience-based management
KW - socialecological systems (SESs)
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U2 - 10.5751/ES-12892-270107
DO - 10.5751/ES-12892-270107
M3 - Article
AN - SCOPUS:85128475982
SN - 1708-3087
VL - 27
JO - Ecology and Society
JF - Ecology and Society
IS - 1
M1 - 7
ER -