Home // International Journal On Advances in Life Sciences, volume 12, numbers 1 and 2, 2020 // View article

An Information-Theoretic Model for Managing Predator–Prey Ecosystems Facing Climate Changes

Authors:
Katsumi Sakata
Ramesh Katam
Toshiyuki Saito
Hajime Ohyanagi
Setsuko Komatsu

Keywords: Information theory; Predator–prey ecosystem; Climate change.

Abstract:
We have developed a theoretical model for managing predator–prey ecosystems undergoing climate-related changes. This model estimates the amount of information transferred between the number of predator and prey categories, and the uncertainty of the number of the prey categories in a predator–prey ecosystem as measured by Shannon entropy, which is achieved by predation events and decay in the ecosystem. We examined the model with a numerical experiment using a well-studied bass–crayfish predator–prey ecosystem in a closed lake. Furthermore, we have evaluated the model comparison using Lotka-Volterra equation, which is a conventional predator–prey ecosystem model.

Pages: 10 to 15

Copyright: Copyright (c) to authors, 2020. Used with permission.

Publication date: June 30, 2020

Published in: journal

ISSN: 1942-2660