4.6 Article

An Exergy-Based Model for Population Dynamics: Adaptation, Mutualism, Commensalism and Selective Extinction

Journal

SUSTAINABILITY
Volume 4, Issue 10, Pages 2611-2629

Publisher

MDPI
DOI: 10.3390/su4102611

Keywords

exergy; population dynamics; species interaction; sustainability

Funding

  1. Istituto Nazionale di Alta Matematica (Italian National Institute for High Mathematics) under an INdAM-COFUND Marie Curie scholarship

Ask authors/readers for more resources

Following the critical analysis of the concept of sustainability, developed on the basis of exergy considerations in previous works, an analysis of possible species behavior is presented and discussed in this paper. Once more, we make use of one single axiom: that resource consumption (material and immaterial) can be quantified solely in terms of exergy flows. This assumption leads to a model of population dynamics that is applied here to describe the general behavior of interacting populations. The resulting equations are similar to the Lotka-Volterra ones, but more strongly coupled and intrinsically non-linear: as such, their solution space is topologically richer than those of classical prey-predator models. In this paper, we address an interesting specific problem in population dynamics: if a species assumes a commensalistic behavior, does it gain an evolutionary advantage? And, what is the difference, in terms of the access to the available exergy resources, between mutualism and commensalism? The model equations can be easily rearranged to accommodate both types of behavior, and thus only a brief discussion is devoted to this facet of the problem. The solution space is explored in the simplest case of two interacting populations: the model results in population curves in phase space that can satisfactorily explain the evolutionistic advantages and drawbacks of either behavior and, more importantly, identify the presence or absence of a sustainable solution in which both species survive.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available