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The speed and uncertainty of environmental change in the Anthropocene challenge the capacity of coevolving social–ecological–technological systems (SETs) to adapt or transform to these changes. Formal government and legal structures further constrain the adaptive capacity of our SETs. However, new, self-organized forms of adaptive governance are emerging at multiple scales in natural resource-based SETs. Adaptive governance involves the private and public sectors as well as formal and informal institutions, self-organized to fill governance gaps in the traditional roles of states. While new governance forms are emerging, they are not yet doing so rapidly enough to match the pace of environmental change. Furthermore, they do not yet possess the legitimacy or capacity needed to address disparities between the winners and losers from change. These emergent forms of adaptive governance appear to be particularly effective in managing complexity. We explore governance and SETs as coevolving complex systems, focusing on legal systems to understand the potential pathways and obstacles to equitable adaptation. We explore how governments may facilitate the emergence of adaptive governance and promote legitimacy in both the process of governance despite the involvement of nonstate actors, and its adherence to democratic values of equity and justice. To manage the contextual nature of the results of change in complex systems, we propose the establishment of long-term study initiatives for the coproduction of knowledge, to accelerate learning and synergize interactions between science and governance and to foster public science and epistemic communities dedicated to navigating transitions to more just, sustainable, and resilient futures.
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Governing change: a dynamical systems approach to understanding the stability of environmental governance
Abstract. The ability to adapt to social and environmental change is an increasinglycritical feature of environmental governance. However, an understandingof how specific features of governance systems influence how theyrespond to change is still limited. Here we focus on how system featureslike diversity, heterogeneity, and connectedness impact stability,which indicates a system's capacity to recover fromperturbations. Through a framework that combines agent-basedmodeling with “generalized”dynamical systems modeling, we model the stability of thousandsof governance structures consisting of groups of resource users and non-government organizations interacting strategically with the decision centers that mediate their access to a shared resource. Stabilizing factors include greater effortdedicated to venue shopping and a greater fraction of non-governmentorganizations in the system. Destabilizing factors include greaterheterogeneity among actors, a greater diversity of decision centers,and greater interdependence between actors. The results suggest thatwhile complexity tends to be destabilizing, there are mitigating factorsthat may help balance adaptivity and stability in complex governance. This study demonstrates the potential inapplying the insights of complex systems theory to managing complexand highly uncertain human–natural systems in the face of rapid socialand environmental change.
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- Award ID(s):
- 1716130
- PAR ID:
- 10429432
- Date Published:
- Journal Name:
- Earth System Dynamics
- Volume:
- 13
- Issue:
- 4
- ISSN:
- 2190-4987
- Page Range / eLocation ID:
- 1677 to 1688
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.5194/esd-13-1677-2022
