Beyond age‐structured single‐species management: Optimal harvest selectivity in the face of predator–prey interactions

Author:

Bang Rasmus Noss1ORCID,Steinshamn Stein Ivar2

Affiliation:

1. Centre for Applied Research at NHH Bergen Norway

2. Department of Business and Management Science Norwegian School of Economics and Centre for Applied Research at NHH Bergen Norway

Abstract

AbstractIn the single‐species literature, it is widely acknowledged that conserving young fish for future harvesting is beneficial. This finding holds great significance in fisheries economics and has garnered substantial attention over the years. In this study, a full‐blown age‐structured predator–prey model is developed and used to demonstrate that multispecies considerations may shift the optimal selection of predators towards smaller individuals, providing valuable counteractive insights. These new results offer a fresh perspective highly relevant to regulation and choice of selectivity patterns.

Publisher

Wiley

Subject

Environmental Science (miscellaneous),Modeling and Simulation

Reference25 articles.

1. Trade-offs between objectives for ecosystem management of fisheries

2. Endogenous versus Exogenous Natural Mortality and Weight in Bioeconomic Models

3. Baranov F. I.(1918).On the question of the biological basis of fisheries. USSR Bureau of Fisheries Bulletin. (English Translation International Fisheries Commission 1938).

4. Beverton R. J. H. &Holt S. J.(1957).On the dynamics of exploited fish populations(Vol. 19). Springer Science and Business.https://doi.org/10.1007/978-94-011-2106-4

5. Clark W. C.(2010).Mathematical bioeconomics: the mathematics of conservation(Vol. 91).John Wiley & Sons.

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