Analysis of a Length-Structured Density-Dependent Model for Fish

被引:0
作者
Callahan, Jason [1 ]
Eager, Eric [2 ]
Rebarber, Richard [3 ]
Strawbridge, Eva [4 ]
Yuan, Shenglan [5 ]
机构
[1] St Edwards Univ, Austin, TX 78704 USA
[2] Pro Football Focus, Cincinnati, OH USA
[3] Univ Nebraska, Lincoln, NE USA
[4] James Madison Univ, Harrisonburg, VA 22807 USA
[5] CUNY, LaGuardia Community Coll, Long Isl City, NY USA
基金
美国国家科学基金会;
关键词
Population dynamics; Density dependence; Stability; Equilibria; Fish populations; WHITE PERCH; STOCK ASSESSMENT; GROWTH; RECRUITMENT; STABILITY;
D O I
10.1007/s11538-019-00648-3
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a length-structured matrix model for fish populations in which the probability that a fish grows into the next length class is a decreasing nonlinear function of the total biomass of the population. We present mathematical results classifying the dynamics that this density-dependent model predicts. We illustrate these results with numerical simulations for an invasive white perch population and show how the mathematical results can be used to predict the persistence and/or boundedness of the population as well as an equilibrium structure that is dominated by small fish. We illustrate the results with management recommendations for an invasive white perch population.
引用
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页码:3732 / 3753
页数:22
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