This study addresses the challenges of multi-scale interactions within agricultural ecosystems by developing a coupled Agent-Based Modeling (ABM) and System Dynamics (SD) framework. The framework aims to elucidate the dynamic interplay between micro-level behaviors and macro-level feedbacks, providing support for precision management. ABM quantifies individual decision-making and simulates biological interactions, while SD reveals the regulatory effects of agricultural interventions. A dynamic interface is designed to enable the flow of micro-level data to drive macro-parameter updates. Application validation demonstrates that the framework effectively synergizes yield, biodiversity, and stability, optimizing pesticide application strategies. The research quantifies the resilience effect of habitat maturity and uncovers the eco-economic synergy pathways of agricultural interventions, offering a theoretical reference for sustainable agriculture.
Ao et al. (Tue,) studied this question.