本文排版定稿已在中国知网网络首发,如需阅读全文请打开知网首页,并搜索该论文题目即可查看。

基于优化MaxEnt模型的广西区域金花茶适生区预测

Prediction of Suitable Habitats for Camellia petelotii in Guangxi Based on an Optimized MaxEnt Model

  • 摘要: 基于优化MaxEnt模型,整合气候、地形与土壤共12个环境因子,预测当前与未来气候情景下金花茶在广西的潜在适生区分布。结果表明:优化后的模型预测结果精度较高(AUC值=0.940),最暖季降水量、土壤容重、海拔和最湿月降水量是影响金花茶分布的主导环境因子。当前气候情景下,适生区呈现出由南部沿海向内陆逐渐扩散的趋势,高适生区集中于南部沿海东兴至防城一带,与十万大山的兰山支脉的自然分布中心高度吻合。相较于当前时期,未来气候情景下金花茶适生区呈现“核心稳定、边缘波动”的迁移特征,建议重点强化核心区制度保护,在扩张区域推进迁地保育,并于萎缩区营建地形“避难所”,以提升种群存续能力。

     

    Abstract: Based on an optimized MaxEnt model, this study integrates 12 environmental factors including climate, topography, and soil to predict the potential suitable habitats of Camellia petelotii in Guangxi under current and future climate scenarios. The results indicate that the optimized model provides highly accurate predictions (AUC = 0.940). The dominant environmental factors influencing the distribution of Camellia petelotii are precipitation of the warmest quarter, soil bulk density, elevation, and precipitation of the wettest month. Under the current climate scenario, the suitable habitats show a gradual expansion trend from the southern coastal areas inland, with highly suitable areas concentrated along the southern coast from Dongxing to Fangcheng, which highly coincides with the natural distribution center of the Lanshan branch of the Shiwandashan Mountains. Compared to the current period, under future climate scenarios, the suitable habitats of Camellia petelotii exhibit a migration characteristic of "stable core and fluctuating edges." It is recommended to strengthen the institutional protection of core areas, promote assisted migration in expansion regions such as Yulin and Wuzhou, and establish topographic refugia in shrinking areas (e.g., mountainous valleys of Baise) to enhance population sustainability.

     

/

返回文章
返回