Use case

Harvesting selectivity and stochastic recruitment in economic models of age-structured fisheries
Read how researchers in fishery management use Artelys Knitro in this article from “Journal of Environmental Economics and Management”.


  •  Age-structured fishery models including complex factors
  • Combining ecological and economic aspects


  • Efficient nonlinear stochastic model
  • Finding the best balance between profitability and ecological aspects

Fishery ecologists have found that fishing acts as a powerful selective force causing age class truncation effects that destabilize fish stocks and increase the risk of population collapse. It has been shown that harvesting activities cause age class truncation effects with potentially adverse consequences on population recruitment, growth, and stability. This leads to the question of how to control the catch pressure over the population age classes.

The choice of fishing gear is the prime method for achieving this, especially the mesh size in gillnet and trawl fisheries. Including these factors into economic analyses is particularly complex. Age-structured fishery models which include endogenous harvesting selectivity and stochastic recruitment capture both economic (harvesting costs) and ecological (age-specific survival rates) aspects of fishery.

The resulting challenging nonlinear stochastic model can be solved efficiently with Artelys Knitro, allowing to maximize harvesting profitability while also including a large number of ecological considerations.

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