Information Network Topologies for Enhanced Local Adaptive Management
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 36, Heft 5, S. 772-773
ISSN: 1432-1009
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In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 36, Heft 5, S. 772-773
ISSN: 1432-1009
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 35, Heft 2, S. 175-193
ISSN: 1432-1009
In: White Paper #1 January 2024
SSRN
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 29, Heft 2
ISSN: 1708-3087
In: Conservation ecology: a peer-reviewed journal ; a publication of the Ecological Society of America, Band 6, Heft 1
ISSN: 1195-5449
In: Environment and development economics, Band 18, Heft 2
ISSN: 1469-4395
In: Environment and development economics, Band 18, Heft 2, S. 111-132
ISSN: 1469-4395
AbstractSystems linking people and nature, known as social-ecological systems, are increasingly understood as complex adaptive systems. Essential features of these complex adaptive systems – such as nonlinear feedbacks, strategic interactions, individual and spatial heterogeneity, and varying time scales – pose substantial challenges for modeling. However, ignoring these characteristics can distort our picture of how these systems work, causing policies to be less effective or even counterproductive. In this paper we present recent developments in modeling social-ecological systems, illustrate some of these challenges with examples related to coral reefs and grasslands, and identify the implications for economic and policy analysis.