Frontiers in modelling social-ecological dynamics of recreational fisheries: A review and synthesis
journal contribution
posted on 2020-11-17, 00:00authored byAshley Trudeau, Carolyn M. Iwicki, Christopher T. Solomon, Colin J. Dassow, Dane Whittaker, Greg G. Sass, Olaf P. Jensen, Stuart E. Jones, Brett T. Van Poorten
Recreational fisheries are culturally and economically important around the world. Recent research emphasizes that understanding and managing these systems requires a social-ecological perspective. We systematically reviewed quantitative social-ecological models of marine and freshwater recreational fisheries to summarize their conceptualization of social, ecological, and social-ecological dynamics and identify research frontiers. From a candidate set of 626 studies published between 1975 and 2018, 49 met criteria for inclusion in our review. These studies, though diverse in terms of focal species and processes considered, were geographically limited to a few locations and ignored large regions of the globe where recreational fishing is important. There were also important gaps in the social and ecological processes that were included in published models. Reflecting on these patterns in the context of previous conceptual frameworks, we define five key frontiers for future work: 1) exploring the implications of social and behavioural processes like heuristics, social norms, and information sharing for angler decisions and fishery dynamics; 2) modelling governance with more realistic complexity; 3) incorporating ideas from resilience thinking and complex adaptive systems, including slow variables, destabilizing feedbacks, surprises and diversity; 4) considering key ideas in fisheries systems, including spatial and temporal effort dynamics, catch hyperstability, and stocking; and 5) thinking synthetically about the models that we use to describe social-ecological dynamics in recreational fisheries, via explicit comparisons and formal integration with data. Exploration of these frontiers, while remembering the distinction between model complexity and model usefulness, will improve our ability to understand and sustain recreational fisheries.