天美传媒

Abstract

Population dynamics of endangered species like the giant panda (Ailuropoda melanoleuca) are critical for conservation efforts. Computational frameworks play a pivotal role in analyzing and predicting these dynamics, aiding in effective conservation strategies. This survey explores various computational models employed in studying giant panda habitats, including Population Viability Analysis (PVA), Agent-Based Models (ABMs), Spatially Explicit Models, and Integrated Population Models (IPMs). Case studies, such as those from Wolong Nature Reserve, highlight applications in simulating habitat fragmentation, climate change impacts, and human-wildlife interactions. Challenges include data limitations and scaling complexities, yet advancements in model integration and interdisciplinary collaborations promise enhanced insights for sustainable conservation of giant panda ecosystems.