Research on Biodiversity Evaluation of Yunnan Nature Reserve Based on Bayesian Network Model
This study applies Bayesian network models to explore and evaluate the biodiversity of Yunnan Nature Reserve,constructs a multi-dimensional comprehensive evaluation system including land use,species diversity and other key indicators,and quantifies the ecological health of protected areas.The construction of Bayesian net-work model is based on the pressure state response framework,and sensitivity analysis and model inference are carried out using Netica software.The research results indicate that the overall level of biodiversity in Yunnan Na-ture Reserve varies,and human activities have a significant negative impact on biodiversity in some areas.Sensi-tivity analysis and scenario simulation indicate that improving land use and ecosystem functions help to enhance biodiversity indices.
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