Literature DB >> 29241761

Spatial distribution and optimal harvesting of an age-structured population in a fluctuating environment.

Steinar Engen1, Aline Magdalena Lee2, Bernt-Erik Sæther3.   

Abstract

We analyze a spatial age-structured model with density regulation, age specific dispersal, stochasticity in vital rates and proportional harvesting. We include two age classes, juveniles and adults, where juveniles are subject to logistic density dependence. There are environmental stochastic effects with arbitrary spatial scales on all birth and death rates, and individuals of both age classes are subject to density independent dispersal with given rates and specified distributions of dispersal distances. We show how to simulate the joint density fields of the age classes and derive results for the spatial scales of all spatial autocovariance functions for densities. A general result is that the squared scale has an additive term equal to the squared scale of the environmental noise, corresponding to the Moran effect, as well as additive terms proportional to the dispersal rate and variance of dispersal distance for the age classes and approximately inversely proportional to the strength of density regulation. We show that the optimal harvesting strategy in the deterministic case is to harvest only juveniles when their relative value (e.g. financial) is large, and otherwise only adults. With increasing environmental stochasticity there is an interval of increasing length of values of juveniles relative to adults where both age classes should be harvested. Harvesting generally tends to increase all spatial scales of the autocovariances of densities.
Copyright © 2017. Published by Elsevier Inc.

Keywords:  Age-specific harvest model; Environmental stochasticity; Optimal harvesting; Population fluctuations; Spatial synchrony; Stochastic population dynamics

Mesh:

Year:  2017        PMID: 29241761     DOI: 10.1016/j.mbs.2017.12.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  Methods of Population Spatialization Based on the Classification Information of Buildings from China's First National Geoinformation Survey in Urban Area: A Case Study of Wuchang District, Wuhan City, China.

Authors:  Linze Li; Jiansong Li; Zilong Jiang; Lingli Zhao; Pengcheng Zhao
Journal:  Sensors (Basel)       Date:  2018-08-04       Impact factor: 3.576

  1 in total

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