Opportunities for agent-based modelling in human dimensions of fisheries

Burgess, Matthew G., Carrella, Ernesto, Drexler, Michael, Axtell, Robert L., Bailey, Richard M., Watson, James R., Cabral, Reniel B., Clemence, Michaela, Costello, Christopher, Dorsett, Chris, Gaines, Steven D., Klein, Emily S., Koralus, Philipp, Leonard, George, Levin, Simon A., Little, Lorne Richard, Lynham, John, Madsen, Jens Koed, Merkl, Andreas, Owashi, Brandon, Saul, Steven E., Putten, Ingrid E., and Wilcox, Sharon (2020) Opportunities for agent-based modelling in human dimensions of fisheries. Fish and Fisheries, 21 (3). pp. 570-587.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1111/faf.12447


Models of human dimensions of fisheries are important to understanding and predicting how fishing industries respond to changes in marine ecosystems and management institutions. Advances in computation have made it possible to construct agent-based models (ABMs)—which explicitly describe the behaviour of individual people, firms or vessels in order to understand and predict their aggregate behaviours. ABMs are widely used for both academic and applied purposes in many settings including finance, urban planning and the military, but are not yet mainstream in fisheries science and management, despite a growing literature. ABMs are well suited to understanding emergent consequences of fisher interactions, heterogeneity and bounded rationality, especially in complex ecological, social and institutional contexts. For these reasons, we argue that ABMs of human behaviour can contribute significantly to human dimensions of fisheries in three areas: (a) understanding interactions between multiple management institutions; (b) incorporating cognitive and behavioural sciences into fisheries science and practice; and (c) understanding and projecting the social consequences of management institutions. We provide simple examples illustrating the potential for ABMs in each of these areas, using conceptual (“toy”) versions of the POSEIDON model. We argue that salient strategic advances in these areas could pave the way for increased tactical use of ABMs in fishery management settings. We review common ABM development and application challenges, with the aim of providing guidance to beginning ABM developers and users studying human dimensions of fisheries.

Item ID: 72043
Item Type: Article (Research - C1)
ISSN: 1467-2979
Keywords: complexity, ecosystem-based fishery management, governance, human behaviour, social-ecological systems, sustainability
Copyright Information: © 2020 John Wiley & Sons Ltd.
Date Deposited: 12 Jul 2022 02:46
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3005 Fisheries sciences > 300505 Fisheries management @ 100%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180599 Marine systems and management not elsewhere classified @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page