Diversity and complexity of angler behaviour drive socially optimal input and output regulations in a bioeconomic recreational-fisheries model

By F. Johnston, Robert Arlinghaus, Ulf Dieckmann. 2010

207 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e755dba7ae7b6064d250bb0822ec068713bfd74b

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In Economics and Econometrics

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Recreational angler satisfaction: What drives it? (2021, background): “Also, angler satisfaction may serve as a suitable management objective for the elusive concept of optimum social yield (Johnston et al., 2010, 2013, 2015), which is a measure of the social benefits a recreational fishery provides to society (Malvestuto & Hudgins, 1996; Roedel, 1975).”
A mechanistic understanding of hyperstability in catch per unit effort and density-dependent catchability in a multistock recreational fishery (2013, background): “Since catchability is the key variable that describes the dynamic interaction between angler effort and fish density, several authors have emphasized the importance of understanding the relationship between catchability and fish density (Johnston et al. 2010; Hunt et al. 2011a; Fenichel et al. 2013)”
Evaluating the Ability of Specialization Indicators to Explain Fishing Preferences (2013, background): “For scientists, this approach can improve understanding fish and angler dynamics by incorporating multivariate preferences to predict angler behavior in such models (Johnston et al., 2010).”
Rethinking length-based fisheries regulations: the value of protecting old and large fish with harvest slots (2015, background): “Correspondingly, the key management objective is no longer biomass-based MSY, but optimizing the quality of a multifaceted fishing experience to anglers (Crutchfield 1962; Hendee 1974; Roedel 1975; Driver 1985; Johnston et al. 2010).”
Fish life history, angler behaviour and optimal management of recreational fisheries (2013, unknown): “Thus, angling impacts likely differ with the type of anglers fishing (Johnston et al. 2010) and the lifehistory type (LHT) of exploited fish.”
Research, part of a Special Feature on A Framework for Analyzing, Comparing, and Diagnosing Social-Ecological Systems Application of the SES Framework for Model-based Analysis of the Dynamics of Social-Ecological Systems (2014, background): “Key Words: dynamic modeling; model development; SES framework; social-ecological modeling; social-ecological processes”
Dynamic angling effort influences the value of minimum‐length limits to prevent recruitment overfishing (2013, background): “Similar findings were reported in a simulation study by Johnston et al. (2010), who showed that overfishing was most likely where angler site choice was driven by a range of catch and catch-independent factors, rather than expected catch or harvest alone.”