Vol. 4 No. 1 (2024): Issue 4
Articles

Lotka-Volterra Model with Principle Component Analysis

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  • Hans Müller,
  • Greta Schmidt,
  • Lukas Fischer
Hans Müller
Institute of Computational Ecology, University of Kaiserslautern, Kaiserslautern
Greta Schmidt
Center for Environmental Dynamics, University of Wuppertal
Lukas Fischer
Department of Mathematical Biology, Chemnitz University of Technology
DOI: https://doi.org/10.71070/jcbm.v4i1.96

Published 2024-06-21

Keywords

  • Integration,
  • Principle Component Analysis,
  • Lotka-Volterra Model,
  • Ecological Dynamics,
  • Biodiversity Conservation

How to Cite

Müller, H., Schmidt, G., & Fischer, L. (2024). Lotka-Volterra Model with Principle Component Analysis. Journal of Computational Biology and Medicine, 4(1). https://doi.org/10.71070/jcbm.v4i1.96

Abstract

The study explores the integration of Principle Component Analysis (PCA) into the classic Lotka-Volterra model, aiming to enhance the understanding and predictive capabilities of ecological systems. The Lotka-Volterra model has long been utilized to describe predator-prey dynamics, but its simplistic nature often limits its accuracy in capturing the complexities of real-world ecosystems. By incorporating PCA, this research addresses the current limitations of the model and provides a more comprehensive analysis of the interactions between species. The innovative approach presented in this paper not only offers a more nuanced understanding of ecological dynamics but also opens up avenues for improved forecasting and management strategies in biodiversity conservation.

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