4.2 Article

OPTIMAL FISH HARVESTING FOR A POPULATION MODELED BY A NONLINEAR PARABOLIC PARTIAL DIFFERENTIAL EQUATION

Journal

NATURAL RESOURCE MODELING
Volume 29, Issue 1, Pages 36-70

Publisher

WILEY
DOI: 10.1111/nrm.12073

Keywords

Partial differential equations; optimal control theory; fisheries; harvesting

Funding

  1. National Institute for Mathematical and Biological Synthesis (NIMBioS) at The University of Tennessee, Knoxville - National Science Foundation [$\#$ EF-0832858]
  2. Division Of Mathematical Sciences
  3. Direct For Mathematical & Physical Scien [1621111] Funding Source: National Science Foundation
  4. Div Of Biological Infrastructure
  5. Direct For Biological Sciences [1300426] Funding Source: National Science Foundation

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As the human population continues to grow, there is a need for better management of our natural resources in order for our planet to be able to produce enough to sustain us. One important resource we must consider is marine fish populations. We use the tool of optimal control to investigate harvesting strategies for maximizing yield of a fish population in a heterogeneous, finite domain. We determine whether these solutions include no-take marine reserves as part of the optimal solution. The fishery stock is modeled using a nonlinear, parabolic partial differential equation with logistic growth, movement by diffusion and advection, and with Robin boundary conditions. The objective for the problem is to find the harvest rate that maximizes the discounted yield. Optimal harvesting strategies are found numerically.

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