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生态学杂志 ›› 2026, Vol. 45 ›› Issue (3): 987-995.doi: 10.13292/j.1000-4890.202603.001

• 研究报告 • 上一篇    下一篇

基于MaxEnt模型和ArcGIS的青藏高原特有药用植物黄缨菊潜在分布区预测

才让扎西1,2,刘玉萍1,2,3,苏旭1,2,3*,郑莹晖1,2,高宣琳1,2,冯旭1,2,韦凯悦1,2,杨萍1,2,孙成林1,2   

  1. 1青海师范大学生命科学学院, 西宁 810008; 2青海师范大学青海省青藏高原生物多样性形成机制与综合利用重点实验室, 西宁 810008; 3青海师范大学高原科学与可持续发展研究院, 西宁 810016)
  • 出版日期:2026-03-10 发布日期:2026-09-01

Prediction of potential distribution area of the unique medicinal plant  Xanthopappus subacaulis in the Qinghai-Xizang Plateau based on MaxEnt model and ArcGIS.

CAIRANG Zhaxi1,2, LIU Yuping1,2,3, SU Xu1,2,3*, ZHENG Yinghui1,2, GAO Xuanlin1,2, FENG Xu1,2, WEI Kaiyue1,2, YANG Ping1,2, SUN Chenglin1,2   

  1. (1School of Life Sciences, Qinghai Normal University, Xining 810008, China; 2Key Laboratory of Biodiversity Formation Mechanism and Comprehensive Utilization of the Qinghai-Xizang Plateau in Qinghai Province, Qinghai Normal University, Xining 810008, China; 3 Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, China).

  • Online:2026-03-10 Published:2026-09-01

摘要: 为了探究黄缨菊(Xanthopappus subacaulis)的潜在适生区,明确其适宜的生存环境,本研究采用MaxEnt模型和ArcGIS软件构建黄缨菊不同时期分布与环境因子的关系模型,模拟和验证末次盛冰期(LGM)、末次间冰期(LIG)、中全新世时期(MH)、当前以及未来不同温室气体排放情景下不同时期在我国的潜在适宜区分布,旨在为黄缨菊种质资源的保护和合理开发利用提供科学依据。结果表明:(1)海拔与最暖季度平均温度是影响黄缨菊在我国适宜区分布的主要环境因子,黄缨菊的适生区主要集中在青海省东部、甘肃省西南部、四川省北部和西部以及西藏自治区东部。(2)末次间冰期气候条件下,黄缨菊在我国西北部呈大范围、连续性分布;末次盛冰期时期,黄缨菊适宜区分布范围主要向青海湖附近缩减;中全新世时期,黄缨菊的适宜区面积与末次盛冰期相似,但高适生区面积较末次盛冰期时显著减少。(3)不同CO2排放情景下,2050年和2070年黄缨菊潜在适宜区分布格局存在显著差异,但两个时期的核心适宜分布区保持相对稳定;黄缨菊整个适宜分布区呈现向青海省海北州东北方向扩张的趋势,青海湖地区将成为核心扩张区,但人类活动密集且现有保护区覆盖率不足,存在生态保育压力。因此,建议优先在黄缨菊扩张热点区增设自然保护地,建立黄缨菊药用植物种质资源库,以协调资源利用与生态保护矛盾。


关键词: 黄缨菊, 最大熵模型, ArcGIS, 潜在分布区, 气候因子

Abstract: To explore the potential suitable distribution area of Xanthopappus subacaulis and to clarify the suitable environmental factors, we constructed the relationship model between the distribution of X. subacaulis and environmental factors based on the MaxEnt model and ArcGIS software. We simulated and verified the potential distribution of X. subacaulis in China for different periods of the Last Interglacial (LIG), Last Glacial Maximum (LGM), Mid-Holocene (MH), the current climate conditions, and different future Shared Socioeconomic Pathway (SSP) scenarios, aiming to provide a scientific basis for the protection and rational development and utilization of X. subacaulis. The results showed that: (1) altitude and mean temperature of the warmest quarter were the two most important environmental factors determining X. subacaulis distribution. The total suitable distribution area of X. subacaulis was mainly distributed in eastern Qinghai, southwest Gansu, north and west Sichuan, and east Xizang. (2) Under the climatic context of the LIG, the distribution of X. subacaulis was large-scale and continuous in the northwest of China. However, the whole distribution area mainly decreased towards the vicinity of Qinghai Lake under the climatic background of the LGM. Under the climatic context of the MH, the suitable distribution areas of X. subacaulis were consistent with those of the LGM, except that the highly suitable areas had significantly decreased compared to that of the LGM. (3) Under different CO2 emission scenarios, the potential suitable habitats of X. subacaulis in 2050 and 2070 show significant differences in distribution patterns. However, the core distribution areas remain relatively stable across these two periods. The entire distribution area of X. subacaulis shows a trend of expansion towards the northeast of Haibei Tibetan Autonomous Prefecture in Qinghai Province. The Qinghai Lake area is projected to be the core expansion zone. However, intensive human activities and insufficient protection coverage in these regions would pose ecological conservation challenges. It is recommended to prioritizing the establishment of new protected areas in expansion hotspots and developing germplasm resource banks for X. subacaulis to reconcile resource utilization and ecological conservation.


Key words: Xanthopappus subacaulis, MaxEnt, ArcGIS, potential distribution area, climate factor