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
收藏
页码:3732 / 3753
页数:22
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