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应用生态学报 ›› 2026, Vol. 37 ›› Issue (1): 169-179.doi: 10.13287/j.1001-9332.202601.024

• 研究论文 • 上一篇    下一篇

气候变暖情景下两种绿绒蒿属植物分布、迁移趋势预测及分类学意义

党莹喆1,2,3, 桂俊文1,2,3, 农兴怀1,2,3, 屈燕1,2,3, 区智1,2,3*   

  1. 1西南林业大学园林园艺学院, 昆明 650224;
    2云南省园林绿化植物资源培育与应用重点实验室, 昆明 650224;
    3云南省功能性花卉资源及产业化技术工程研究中心, 昆明 650224
  • 收稿日期:2025-05-25 修回日期:2025-11-11 发布日期:2026-07-18
  • 通讯作者: *E-mail: 6964274@qq.com
  • 作者简介:党莹喆, 女, 1998年生, 硕士研究生。主要从事园林植物生态及景观设计研究。E-mail: 1462923829@qq.com
  • 基金资助:
    国家自然科学基金地区科学基金项目(32160404)和云南省农业基础研究联合专项(202501BD070001-084)

The distribution and migration trends of two Meconopsis species under climate warming scenarios and their taxonomic implications

DANG Yingzhe1,2,3, GUI Junwen1,2,3, NONG Xinghuai1,2,3, QU Yan1,2,3, OU Zhi1,2,3*   

  1. 1College of Horticulture and Landscape Architecture, Southwest Forestry University, Kunming 650224, China;
    2Yunnan Key Laboratory of Landscape Plant Resource Cultivation and Application, Kunming 650224, China;
    3Yunnan Province Engineering Research Center for Functional Flower Resources and Industrialization, Kunming 650224, China
  • Received:2025-05-25 Revised:2025-11-11 Published:2026-07-18

摘要: 绿绒蒿属是珍稀高山植物,具有较高的观赏价值。受全球变暖、人类活动等影响,其生境遭到破坏。本研究以典型高山流石滩旗舰植物多刺绿绒蒿和总状绿绒蒿为研究对象,基于现存的地理分布数据,采用最大熵模型(MaxEnt 3.4.4)对当前(1970—2000年)与未来(2041—2060、2061—2080年)两种绿绒蒿的适生区域进行模拟,并通过ArcGIS 10.8进行可视化处理,分析影响其主导的适生因子,及未来气候变暖下适生区的动态变化情况。结果表明: 两种绿绒蒿的受试者工作特征曲线下面积值均大于0.9,表明模型的预测结果准确;海拔、等温性、温度季节性和人类足迹是影响多刺绿绒蒿和总状绿绒蒿适生分布的主要变量;当前,多刺绿绒蒿和总状绿绒蒿的总适生区面积分别为260.39万和161.60万km2,两者重叠区域达157.56万km2,表明其适生范围高度重合。当前,两种绿绒蒿适生区均分布于云南、四川、甘肃、青海、西藏、新疆等地,受气候变暖的显著影响,存在未来向西北等方向的潜在迁移趋势。多刺绿绒蒿和总状绿绒蒿主要适生变量一致且总适生范围高度重合。

关键词: 多刺绿绒蒿, 总状绿绒蒿, 最大熵模型, 气候变暖, 潜在分布区

Abstract: Meconopsis comprises rare alpine plants with high ornamental value. Due to global warming and human activities, their habitats have been destroyed. To provide data support for the dynamic monitoring of Meconopsis species and ex situ conservation, and to offer reference for species classification within the genus Meconopsis, we focused on two flagship species of typical alpine scree habitats, M. horridula and M. racemosa. Based on the geographic distribution data, we used the MaxEnt model 3.4.4 to simulate the suitable habitat areas of both species for the current (1970-2000) and future (2041-2060, 2061-2080) periods, and used ArcGIS 10.8 to analyze the dominant factors affecting their habitat suitability and the dynamics of suitable areas under future climate warming. The area under the receiver operating characteristic curve values for both Meconopsis species were greater than 0.9, indicating that the model predictions were accurate. Altitude, isothermality, temperature seasonality, and human footprint were the main variables affecting the suitable distribution of M. horridula and M. racemosa. Currently, the total suitable area for M. horridula and M. racemosa were 2.60 million and 1.62 million km2, respectively, with an overlap of 1.58 million km2, indicating that the suitable ranges highly coincided. Currently, the suitable areas of both Meconopsis species were distributed in Yunnan, Sichuan, Gansu, Qinghai, Tibet, and Xinjiang, and under the influence of climate warming, there would be a potential migration toward the northwest in the future. The main suitability variables of M. horridula and M. racemosa were consistent, with total suitable ranges being highly coincided.

Key words: Meconopsis horridula, Meconopsis racemosa, MaxEnt model, climate warming, potential distribution area