基于贝叶斯网络模型的云南省自然保护区生物多样性研究  

Research on Biodiversity Evaluation of Yunnan Nature Reserve Based on Bayesian Network Model

作　　者：李进发 代陆娇 罕金彪 赵小飞 Li Jinfa;Dai Lujiao;Han Jinbiao;Zhao Xiaofei(Administration Bureau of Nuozhadu Provincial Nature Reserve,Pu'er 665000,Yunnan,China;Forestry and Grassland Bureau of Lancang County,Lancang 665699,Yunnan,China;Forestry and Grassland Service Center of Pu'er City,Pu'er 665000,Yunnan,China)

机构地区：[1]糯扎渡省级自然保护区管护局,云南普洱665000 [2]普洱市澜沧县林业和草原局,云南澜沧665699 [3]普洱市林业和草原服务中心,云南普洱665000

出　　处：《绿色科技》2024年第8期75-79,共5页Journal of Green Science and Technology

摘　　要：采用贝叶斯网络模型探索评估云南自然保护区的生物多样性,构建包括土地利用、物种多样性和其他关键指标的多维综合评价体系,同时量化保护区的生态健康程度。贝叶斯网络模型的构建基于压力-状态-响应框架,并通过Netica软件进行敏感性分析和模型推理。结果表明:云南自然保护区生物多样性整体水平不一,人类活动对部分地区生物多样性的负面影响显著。敏感性分析和情景模拟表明,改善土地利用和生态系统功能有助于提升生物多样性指数。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 network 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 Nature Reserve varies,and human activities have a significant negative impact on biodiversity in some areas.Sensitivity analysis and scenario simulation indicate that improving land use and ecosystem functions help to enhance biodiversity indices.

关 键 词：贝叶斯网络模型 自然保护区 生物多样性 云南省 

分 类 号：S759.9[农业科学—森林经理学]