Regulatory Effects of Artificial Intervention on Agricultural Ecosystems: A Comparative Simulation Study of Pesticide Removal and Biological Control

Agricultural ecosystems face mounting challenges from pesticide overuse and biodiversity loss, necessitating innovative management strategies. This study introduces a computational framework to evaluate the impacts of pesticide control versus bat-mediated biological control on ecosystem stability. We developed a six-dimensional intervention matrix that integrates time-dependent pesticide decay dynamics and the dual roles of bats as predators and pollinators. Employing advanced simulation techniques and Lyapunov stability criteria, we analyzed 12 intervention scenarios, incorporating parameter sensitivity analysis and residual distribution modeling. Simulations reveal that bat introduction enhances ecosystem resilience by 28.7% compared to conventional pesticide applications, with a 15.3% reduction in predator-prey variance. Optimal intervention parameters were identified at 0.45–0.68 pesticide reduction coefficient and 0.32–0.41 bat population ratio. These findings underscore the potential of computational modeling to inform sustainable agricultural practices, advocating for biological control in ecosystem management policies.