Modeling Agricultural Ecosystem Evolution: Integrating Natural Processes and Human Decisions
摘要
The widespread conversion of biodiverse forests into farmland has caused biodiversity loss, pest surges, and soil degradation. This study uses mathematical models to simulate agricultural ecosystem dynamics and evaluate land management strategies. The Basic Food Web (BFW) model incorporates crops, herbivores, pests, and predators, showing that pesticide overuse leads to biodiversity loss and crop decline within 100 days. Reintroducing native species like bees and frogs improved pollination, pest control, and raised the Shannon Diversity Index to 2.5. The Ecological Restoration via Bat Interaction Dynamics (ER-BID) model revealed that removing herbicides and introducing bats suppressed pests, despite increased weed growth. The Organic Farming Evaluation (OFE) model indicated that organic practices improve soil health, reduce chemical reliance, and support long-term biodiversity. Together, these models (BFW, ER-BID, OFE) provide a comprehensive framework for understanding agroecosystem evolution and highlight sustainable strategies—chemical reduction, species reintroduction, and organic farming—as effective paths to restore ecological balance.