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气候变化下白菊木在中南半岛与中国西南地区的潜在分布
Predicting the potential distribution of Leucomeris decora in Indochina Peninsula and Southwest China under climate change
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摘要: 基于白菊木62个有效分布点和22个环境变量,经主成分分析、相关分析、贡献率和置换重要性评估等筛选出6个核心因子,优化MaxEnt参数并集成至Biomod2平台,构建包含11种算法的组合模型,模拟当前及BCC−CSM2−MR气候模式下SSP2−4.5、SSP5−8.5情景4个未来时段的潜在适生区,并比较模型差异及解析中泰居群生态位分化。结果表明:Biomod2集成模型性能最佳(加权Kappa=0.66,TSS=0.97,AUC=0.99),与野外实际分布吻合度最高,预测效果优于MaxEnt和Domain模型。温度年较差、最冷季均温、最暖季度降水量和最冷季度降水量是制约分布的主导气候因子,中国居群主要受降水约束,泰国居群受温度主导,两者生态位分化显著(I=0.43,D=0.14),应视为独立进化单元。未来2种情景下适生区均持续缩减,分布区向东北迁移并逐渐分化为西南(泰缅老交界)与东北(云贵川交界)2个相对独立区域,高排放情景下分化与形变更为剧烈。建议优先依据集成模型结果制定保护策略并加强遗传分化研究。Abstract: Leucomeris decora is one of the few arborescent species in the Asteraceae family and an important representative of Asteraceae in the Indochina Peninsula, holding significant scientific value for studies on floristic geography, phylogenetic evolution, and vegetation succession in dry-hot valleys. However, its natural distribution range and potential distribution pattern have not been systematically documented. Based on 62 effective occurrence records and 22 environmental variables, this study identified six core factors through principal component analysis, correlation analysis, and evaluation of contribution rates and permutation importance. MaxEnt parameters were optimized and integrated into the Biomod2 platform to construct an ensemble model comprising 11 algorithms. Potential suitable habitats were simulated under current conditions and four future periods under the SSP2-4.5 and SSP5-8.5 scenarios of the BCC-CSM2-MR climate model, with model performance compared and niche differentiation between Chinese and Thai populations analyzed. Results showed that the Biomod2 ensemble model performed best (weighted mean Kappa = 0.66, TSS = 0.97, AUC = 0.99), exhibiting the highest consistency with the field-observed distribution, and outperformed both the MaxEnt and Domain models. Temperature annual range (Bio7), mean temperature of the coldest quarter (Bio11), precipitation of the warmest quarter (Bio18), and precipitation of the coldest quarter (Bio19) were the dominant climatic factors constraining the distribution; the Chinese population was primarily limited by precipitation, whereas the Thai population was mainly driven by temperature. The two populations exhibited significant niche differentiation (I = 0.43, D = 0.14) and should be considered independent evolutionary significant units. Under both future scenarios, the total suitable habitat area continued to shrink, with the distribution shifting northeastward and gradually diverging into two relatively isolated regions: a southwestern region (border area of Thailand, Myanmar, and Laos) and a northeastern region (border area of Yunnan, Guizhou, and Sichuan, China). The divergence and morphological changes were more pronounced under the high-emission scenario. This study reveals the distributional shift trends and population differentiation patterns of L. decora, and suggests prioritizing conservation strategies based on ensemble model results and strengthening genetic differentiation research, thereby providing a scientific basis for the protection and management of this rare and endangered species.
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