Carrying capacity of a population diffusing in a heterogeneous environment

Mathematics and Computers in Modern Science - Acoustics and Music, Biology and Chemistry, Business and Economics
By: , and 

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Abstract

The carrying capacity of the environment for a population is one of the key concepts in ecology and it is incorporated in the growth term of reaction-diffusion equations describing populations in space. Analysis of reaction-diffusion models of populations in heterogeneous space have shown that, when the maximum growth rate and carrying capacity in a logistic growth function vary in space, conditions exist for which the total population size at equilibrium (i) exceeds the total population that which would occur in the absence of diffusion and (ii) exceeds that which would occur if the system were homogeneous and the total carrying capacity, computed as the integral over the local carrying capacities, was the same in the heterogeneous and homogeneous cases. We review here work over the past few years that has explained these apparently counter-intuitive results in terms of the way input of energy or another limiting resource (e.g., a nutrient) varies across the system. We report on both mathematical analysis and laboratory experiments confirming that total population size in a heterogeneous system with diffusion can exceed that in the system without diffusion. We further report, however, that when the resource of the population in question is explicitly modeled as a coupled variable, as in a reaction-diffusion chemostat model rather than a model with logistic growth, the total population in the heterogeneous system with diffusion cannot exceed the total population size in the corresponding homogeneous system in which the total carrying capacities are the same.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Carrying capacity of a population diffusing in a heterogeneous environment
Series title Mathematics and Computers in Modern Science - Acoustics and Music, Biology and Chemistry, Business and Economics
DOI 10.3390/math8010049
Volume 8
Issue 1
Year Published 2020
Language English
Publisher MDPI
Contributing office(s) Wetland and Aquatic Research Center
Description 49, 12 p.