Opportunities for agent‐based modelling in human dimensions of fisheries

Abstract

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 | 571 BURGESS Et al. 7 ABM CHALLENGES 579 7.1 Scope 579 7.2 Calibration and validation 579 7.3 Balancing realism and complexity 578 7.4 Resource and time investment 578 7.5 Documentation and reproducibility 578 8 CONCLUSION: FROM STRATEGIC TO TACTICAL ABMS 581 ACKNOWLEDGEMENTS 581 DATA AVAILABILITY STATEMENT 581 REFERENCES 581 APPENDIX 1 586

Foundations of complexity economics

“…By that measure, complexity economics is still arriving. There are now general texts on the subject [89][90][91][92][93][94][95][96] and research across subfields such as macroeconomics [97][98][99] , labour economics 100,101 , institutional economics 102 , environmental economics [103][104][105][106] , finance [107][108][109] , economics of disease transmission 110,111 , distribution of firms' sizes 112 , scaling laws 113,114 , ergodicity in economics 115 , technological innovation [116][117][118] and economic development 119 . If there are trends, they are towards more behavioural realism, grounding models on large data sets 120 , using computer experiments to study and design systems, and understanding how macro patterns emerge from micro assumptions.…”

Agent‐based models to investigate sound impact on marine animals: bridging the gap between effects on individual behaviour and population level consequences

“…And uniquely, in ABM, behaviours and individual characteristics can vary both in time and space, making the model dynamic in four dimensions. Finally, not only the target animal species and its environment can be modelled dynamically, but also human impact or management features can be integrated to explore consequences (Van Beest et al 2017, Nabe‐Nielsen et al 2018, Burgess et al 2020).…”

Integrating human and ecological dimensions: The importance of stakeholders’ perceptions and participation on the performance of fisheries co-management in Chile

“…Consequently, the current dilemma facing fishery management is not just the limited understanding of the fish stocks or external pressures, but also knowledge of the human dimension and how it fits into fishery management [10][11][12][13]. There is a broad theoretical background for the role of the human dimension in fishery co-management [10,[14][15][16][17][18][19] but it is necessary to test this empirically with real fishing communities in order to understand and improve sustainable fisheries [20][21][22]. The Code of Conduct for Responsible Fisheries (CCRF, article 12) underlines the need to investigate and plan fishery measures, including social, legal and institutional aspects [23].…”