Open Access from Natural Resource Modeling: Time delays and pollution in an open-access fishery

Each week, we select a recently published Open Access article to feature. This week’s article comes from Natural Resource Modeling  and presents a rational equilibrium for precise implementation of management goals in multiple-species and heterogeneous fishery settings.

The article’s abstract is given below, with the full article available to read here

Bergland, H.Mishra, P.Pedersen, P. A.Ponossov, A., & Wyller, J. (2022). Time delays and pollution in an open-access fisheryNatural Resource Modeling, e12363.

We analyze the impacts of pollution on fishery sector using a dynamical system approach. The proposed model presupposes that the economic development causes emissions that either remediate or accumulate in the oceans. The model possesses a block structure where the solutions of the rate equations for the pollutant and the economic activity act as an input for the biomass and effort equation. We also account for distributed delay effects in both the pollution level and the economic activity level in our modeling framework. The weight functions in the delay terms are expressed in terms of exponentially decaying functions, which in turn enable us to convert the modeling framework to a higher-order autonomous dynamical system by means of a linear chain trick. When both the typical delay time for the economic activity and the typical delay time for the pollution level are much smaller than the biomass time scale, the governing system is analyzed by means of the theory for singularly perturbed dynamical systems. Contrary to what is found for population dynamical systems with absolute delays, we readily find that the impact of the distributed time lags is negligible in the long-run dynamics in this time-scale separation regime.

Recommendations for Resource Managers

  • Resource managers should be aware of the dynamical interrelations between fisheries and pollution, also those that are time delayed.

  • Time lags between biological, economic, and environmental variables are affecting the time paths of these variables.

  • In the long run, the impact from distributed time lags have a negligible influence on the long-run dynamical evolution.

  • Neither the past history of economic activities nor the past history of pollution growth can affect the fishery dynamics in the long run.

  • More empirical and theoretical research are needed to increase our understanding of the interrelation between fisheries and pollution.

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