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生态学杂志 ›› 2026, Vol. 45 ›› Issue (6): 1912-1919.doi: 10.13292/j.1000-4890.202606.013

• 研究报告 • 上一篇    下一篇

气候变化情景下基于Biomod2组合模型的地枫皮潜在分布区预测

张秀姣1,王满莲1,唐辉1*,李勇青2,王瑛2,刘宝玉1,吴超1   

  1. 1广西壮族自治区中国科学院广西植物研究所/广西植物功能物质与资源持续利用重点实验室, 广西桂林 541006; 2中国科学院华南植物园, 广州 510650)

  • 出版日期:2026-06-10 发布日期:2026-12-01

Prediction of potential distribution areas of Illicium difengpi in climate change scenarios based on the Biomod2 ensemble model.

ZHANG Xiujiao1, WANG Manlian1, TANG Hui1*, LI Yongqing2, WANG Ying2, LIU Baoyu1, WU Chao1   

  1. (1Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Science/Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guilin 541006, Guangxi, China; 2South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China).

  • Online:2026-06-10 Published:2026-12-01

摘要: 预测未来气候变化条件下濒危植物适宜生境的空间变化趋势,可为该物种保护和可持续利用提供理论指导。地枫皮(Illicium difengpi)是喀斯特特有种,属国家二级保护植物,具有较高的药用、生态和观赏价值。本研究利用地枫皮的30个地理分布点和10个环境变量,运用Biomod2构建组合模型,对当前气候情景下地枫皮的潜在分布区及主导变量进行分析,同时模拟其在未来(2050s、2070s、2090s)3种气候情景(SSP126、SSP245、SSP585)下的潜在分布区。结果表明:(1)基于3个最优单一模型(广义增强模型、最大熵模型、随机森林)构建的组合模型比单一模型对地枫皮适生区预测结果更好,真实技巧统计值(TSS)和受试者工作特征曲线下面积(AUC)均值分别为0.890±0.024和0.982±0.007,预测准确度较高。(2)平均温度日较差、年温度变化范围、最暖季度降水量和海拔是影响地枫皮分布的主导变量。(3)当前气候情景下,地枫皮主要分布在广西中部、西北部至西南部地区,潜在分布面积3.28×104 km2。(4)未来气候情景下,地枫皮适生区面积整体上呈先扩张后收缩趋势,分布质心将向东南方向移动。本研究可为气候变化背景下地枫皮就地保护、迁地保护以及引种驯化提供参考。


关键词: 地枫皮, 组合模型, 气候变化, 物种分布区

Abstract: Predicting the spatial variation of suitable habitat of endangered plants under climate change in the future can provide theoretical guidance for protection and sustainable utilization of populations. Illicium difengpi, an endemic species in karst regions, is a China national secondary protected plant with considerable medicinal, ecological and ornamental value. With 30 geographical distribution points of I. difengpi and 10 environmental variables, we analyzed the potential distribution areas and dominant variables of I. difengpi under the current climate scenario using the Biomod2 ensemble model. The potential distribution area in the future (2050s, 2070s, and 2090s) under three climate scenarios (SSP126, SSP245, and SSP585) was simulated. The results showed that: (1) The ensemble model constructed with three optimal single models (Generalized Additive Models, Maximum Entropy Model, and Random Forest) showed better performance than single models in predicting the suitable areas of I. difengpi, with the true skill statistics (TSS) and the area under receiver operating characteristic curve (AUC) values of 0.890±0.024 and 0.982±0.007, respectively, indicating high prediction accuracy. (2) The mean diurnal range, temperature annual range, precipitation of warmest quarter, and elevation were the dominant variables affecting the distribution of I. difengpi. (3) Under the current climate scenario, the potential suitable area of I. difengpi was approximately 3.28×104 km2, concentrated in central, northwest and southwest of Guangxi. (4) Under future climate scenarios, the suitable distribution area of I. difengpi would initially expand and then contract, with the distribution centroid shifting towards the southeast. The results provide a reference for in situ conservation, ex situ conservation, introduction, and domestication of I. difengpi under the background of climate change.


Key words: Illicium difengpi, ensemble model, climate change, species distribution range