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未来气候情景下白花前胡潜在适生区变化预测OA

Prediction of Changes in Potential Suitable Distribution Areas of Peucedanum praeruptorum under Future Climate Scenarios

中文摘要英文摘要

基于中国白花前胡(Peucedanum praeruptorum Dunn)89个地理分布数据和包括生物气候、地形和土壤36 个环境变量,利用 MaxEnt 优化模型预测历史时期(1970-2000 年)和未来时期(2041-2060 年、2061-2080年)不同气候情景下白花前胡适生区以及影响白花前胡分布的主导气候因子,为白花前胡的管理、保护和合理选址提供一定的理论依据.结果表明:(1)MaxEnt 模型模拟准确性较高,受试者工作特征曲线(ROC)的曲线下面积(AUC)为 0.909;(2)影响白花前胡分布的主导气候因子分别是最冷季平均气温 bio11(47.9%)、年降水量 bio12(30.8%)和温度季节性 bio4(9.4%),3 个变量累计贡献率达 88.1%;(3)历史时期白花前胡低适生区主要分布在山东、河南、河北和山西地区,中、高适生区主要分布在中南部地区.未来时期气候情景下,其潜在适生区变化幅度较小,对白花前胡地理分布产生的影响较小,分布质心呈向东北偏移的趋势;(4)高排放情景下生态位重叠呈下降趋势,每个时期生态位宽度较稳定,表明白花前胡生态适应性较广,更倾向成为广适性物种.

Based on 89 geographical distribution records of Peucedanum praeruptorum Dunn and 36 environmental variables(including bioclimatic,topographic and soil factors),this study utilized an optimized the MaxEnt model to predict the suitable habitats of P.praeruptorum under historical(1970-2000)and future(2041-2060,2061-2080)climate scenarios.The research also identified the dominant climatic factors influencing its distribution,aiming to provide a theoretical foundation for the management,conservation,and rational site selection of this species.The results showed that:(1)the MaxEnt model demonstrated high predictive accuracy,with an Area under the curve(AUC)of the Receiver operating characteristic(ROC)curve of 0.909.(2)The dominant factors influencing the distribution of P.praeruptorum were the mean temperature of the coldest quarter(bio11,47.9%),annual precipitation(bio12,30.8%)and temperature seasonality(bio4,9.4%).These three variables collectively accounted for 88.1%of the contribution.(3)During the historical period,low-suitability areas for P.praeruptorum were primarily distributed in Shandong,Henan,Hebei and Shanxi provinces,while moderate and high-suitability areas were mainly concentrated in central and southern China.Under future climate change scenarios,the extent of potential suitable habitat showed relatively small changes,indicating a limited impact on the geographical distribution of P.praeruptorum.However,the distribution centroid exhibited a slight northeastward shift.(4)Under high-emission scenarios,niche overlap exhibited a declining trend,while niche breadth remained relatively stable across periods.This suggests that P.praeruptorum has broad ecological adaptability,tending to be a generalist species,although it may face reduced resource availability.

张青霞;林威;徐祥鑫;樊国春;刘一冰;邓敏;王逾涵;祁俊生

重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020重庆三峡科技大学环境与化学工程学院,万州 404020重庆三峡科技大学环境与化学工程学院,万州 404020重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020重庆三峡科技大学生物与食品工程学院/三峡库区道地中药材绿色种植与深加工重庆市工程实验室,万州 404020

白花前胡MaxEnt模型气候变化适生区生态位

Peucedanum praeruptorum DunnMaxEnt modelClimate changeSuitable habitatNiche

《中国农业气象》 2026 (6)

935-949,15

重庆市技术创新与应用发展专项重点项目(cstc2020jscx-tpyzxX0007)重庆市教委重点项目(KJZD-K202201207)

10.3969/j.issn.1000-6362.2026.06.010

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