Sustainable Agricultural Management Strategies Based on Natural Processes and Human Decision-Making

As agricultural land expands, constructing a sustainable and stable ecological balance has become a crucial issue in agricultural production. This paper aimed to track the evolution of ecosystems and the selection of agricultural patterns. We extended the Lotka-Volterra model under the premise of constructing five subsystems, based on the Logistic growth model, and optimizes the periodic changes of the ecosystem using the RK4 algorithm. Then a biodiversity recovery model is constructed based on the Lotka-Volterra model. Five key indicators are extracted to establish an ecosystem stability model based on dynamic system theory. A Lotka-Volterra model is constructed based on five factors affecting the ecosystem, and appropriate parameters are set to analyze the impact of organic agriculture. The paper details the ecological and economic impacts of shifting to organic agriculture. It suggests that farmers introduce species such as bats and birds for biological control, optimize resource management, and master organic agricultural techniques.