Modeling Of Plant Population Community and Biodiversity Based On Differential Equation Model

Abstract

Understanding the adaptive mechanisms of plant communities under drought conditions is crucial in the context of global climate changes. Drought resilience is intricately linked to the biodiversity within these communities, specifically, the number of species present. This research delves into how the diversity within plant communities influences their adaptation mechanisms when confronted with recurrent drought cycles over consecutive generations. To fathom the long-term dynamic interplay between plant communities and their environment, we devised a model. This model harnesses the power of genetic algorithms to optimize parameters, ensuring a comprehensive representation of ecological realities. Notably, it accounts for species migration, inter-species competition, and a myriad of other ecological factors. Consequently, our model can predict with commendable accuracy the evolutionary trajectory of plant communities when subjected to diverse and irregular weather patterns. Our findings not only shed light on the importance of biodiversity in ensuring ecological resilience but also provide invaluable insights for conservation strategies in the face of changing climate scenarios.