中国P站

Abstract

Ecological modeling is crucial across diverse applications, from predicting species distribution under climate change and informing
conservation to optimizing sustainable aquaculture and managing forest ecosystems. It aids in urban biodiversity conservation,
assesses ecosystem services using remote sensing, and tackles inherent uncertainties. Advancements in Agent-based Models (ABMs)
and Machine Learning are enhancing predictive capabilities and understanding complex ecological phenomena. Ultimately, integrating
sophisticated ecological models is essential for effective environmental management and achieving conservation goals in a rapidly
changing world.