2019
DOI: 10.1016/j.ecolmodel.2019.108740
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Evaluating management options for two fisheries that conflict through predator–prey interactions of target species

Abstract: When one wild species is food for another and both have their hunting enthusiasts, then conflict can arise. This is particularly true and complicated in fishing, where trophic links are strongly influenced by body-size ratios, alternative prey are available, populations are strongly density dependent and all their parameters are hard to quantify. We examine this problem with a specific example of trout-pike interaction in Irish lakes using a multi-species size-structured population model, set within a quantita… Show more

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Cited by 1 publication
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“…Hereafter we consider the coefficient m as the main control parameter as it encloses all those (intrinsic and extrinsic) effects that contribute in affecting predators' mortality rate. Among the most relevant factors causing fluctuations of the mortality rate, there are: characteristics of the species (e.g., reactions to predators, stimulus detected by its predator); seasonality; migration; density and quality of alternate foods available for its predator; prey and predator's food preferences; availability of preys/nutrients; environmental conditions; pollutants, diseases and hydra effects [30], [31], [32], [33], [34].…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Hereafter we consider the coefficient m as the main control parameter as it encloses all those (intrinsic and extrinsic) effects that contribute in affecting predators' mortality rate. Among the most relevant factors causing fluctuations of the mortality rate, there are: characteristics of the species (e.g., reactions to predators, stimulus detected by its predator); seasonality; migration; density and quality of alternate foods available for its predator; prey and predator's food preferences; availability of preys/nutrients; environmental conditions; pollutants, diseases and hydra effects [30], [31], [32], [33], [34].…”
Section: Mathematical Modelmentioning
confidence: 99%