Research on Ecosystem Changes Based on LV Technology and Entropy Weight Method

Abstract

In this study, the interrelationships between several ecological factors were analyzed in order to construct an agroecosystem model. The aim is to manage agricultural ecosystems, maintain sustainability and stability, and increase crop yields. Based on the Lotka-Volterra model, the curves of crop growth and insect population size over time were plotted, while the effects of species diversity, number of organisms, and human activities on ecosystem stability and resilience were evaluated using the entropy weighting method, and the agro-ecosystem model was finally constructed successfully. What’s more, with the removal of herbicides and the introduction of bats as insectivores and pollinators, in order to study the stability of the ecosystem, another beneficial species was identified to help restore the balance of the ecosystem and to compare their impacts. An ecological model that accurately describes the multi-species interactions of plants, bats, bees and insects was developed based on the Lotka-Volterra model. Able to accurately describe multi-species interactions among plants, bats, bees and insects, the population dynamics of each species over time was mapped, and the effects of bees and bats on ecosystem structure and functioning under independent action scenarios were further comparatively analyzed. A simulated annealing algorithm was used to globally optimize the unknown parameters in the model, and the mechanism of the effect of different parameter combinations on ecosystem stability was analyzed, and the mechanism of the effect of different parameter combinations on ecosystem stability was also explored.