Modeling of Predator-Prey Interaction between Fur Craft Predators and Muroidea Rodents
Abstract
Muroidea rodents have a lot of natural enemies, because they are link in food system of most mammals and especially for fur craft predators. A good model must be simple enough to be mathematically tractable, but complex enough to represent a system realistically. Realism is often sacrificed for simplicity, and one of the shortcomings of the Lotka-Volterra model is its reliance on unrealistic assumptions. Predators and prey can influence one another's evolution. Traits that enhance a predator's ability to find and capture prey will be selected for in the predator, while traits that enhance the prey's ability to avoid being eaten will be selected for in the prey. The «goals» of these traits are not compatible, and it is the interaction of these selective pressures that influences the dynamics of the predator and prey populations. Predicting the outcome of species interactions is also of interest to us trying to understand how communities are structured and sustained. The predictions of the created Lotka-Volterra model are supported by empirical evidence.
Full Text: PDF DOI: 10.15640/jcsit.v4n1a4
Abstract
Muroidea rodents have a lot of natural enemies, because they are link in food system of most mammals and especially for fur craft predators. A good model must be simple enough to be mathematically tractable, but complex enough to represent a system realistically. Realism is often sacrificed for simplicity, and one of the shortcomings of the Lotka-Volterra model is its reliance on unrealistic assumptions. Predators and prey can influence one another's evolution. Traits that enhance a predator's ability to find and capture prey will be selected for in the predator, while traits that enhance the prey's ability to avoid being eaten will be selected for in the prey. The «goals» of these traits are not compatible, and it is the interaction of these selective pressures that influences the dynamics of the predator and prey populations. Predicting the outcome of species interactions is also of interest to us trying to understand how communities are structured and sustained. The predictions of the created Lotka-Volterra model are supported by empirical evidence.
Full Text: PDF DOI: 10.15640/jcsit.v4n1a4
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