AGRICULTURAL ECOSYSTEMS BASED ON DYNAMIC SIMULATION (AEDSM) MODEL

Abstract

This article combines mathematical modeling, simulation, and multi-objective evaluation methods to solve five key problems in agricultural ecosystems. Firstly, an Agricultural Ecosystem Dynamics Simulation (AEDSM) model was constructed based on the Lotka Volterra equation. By dividing the ecological process into four stages (forest ecological stage, conventional agricultural production stage, initial ecological restoration stage, and ecological restoration stage), it accurately depicts the evolution of the ecosystem. This modeling method enables us to understand the complex interactions between species and environmental factors that vary over time. Secondly, in order to analyze the impact of integrating two native species into the ecosystem, this article uses the established AEDSM model for simulation. By comparing the simulation results of introducing and not introducing these species, the changes in species interactions and population dynamics can be clearly observed, providing insights for biodiversity management. In order to explore the stability of ecosystems during herbicide removal, a comparative simulation scenario was established in the AEDSM model. Finally, in order to evaluate the impact of farmers adopting organic farming methods on the ecosystem, this paper developed a multi-objective evaluation model for organic agricultural ecosystems. This model integrates factors such as market incentives, technological support, and conversion costs. Using weighted scoring and scenario analysis methods, evaluate different organic agriculture scenarios from aspects such as crop yield, biodiversity, and economic costs. Sensitivity analysis is also applied to identify key parameters that can guide decision-making in organic agriculture practices.