Using mental models to quantify linear and non-linear relationships in complex fishery systems

Using mental models to quantify linear and non-linear relationships in complex fishery systems

Reducing uncertain outcomes of fishery management actions requires an understanding of how fishers will be affected by policy actions. This requires integrating the local expertise of commercial fishers and seafood processors into management planning to predict how regulatory changes could impact so...

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Bibliographic Details
Main Authors: Estabrooks, A. (Author), Gauvin, J. (Author), Gray, S. (Author), Harris, B.P (Author), Kroska, A.C (Author), Murphy, R., Jr (Author), Wolf, N. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
Alaska
Bering Sea
cognition
commercial activity
Commercial fishing
environmental change
Fisheries
fishery management
Fishery management
fishery policy
Fuzzy cognitive mapping
fuzzy mathematics
mapping
Martes
Mental models
Oncorhynchus keta
Pacific Ocean
participatory approach
Pollachius
regression analysis
regulatory framework
Social-ecological system
Trachinotus falcatus
United States
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