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应用生态学报 ›› 2024, Vol. 35 ›› Issue (10): 2813-2821.doi: 10.13287/j.1001-9332.202410.025

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未来气候变化对中国沙棘潜在地理分布的影响

王文强1,2,3,4, 杨博1,2,3,4, 李小伟1,2,3,4*, 梁咏亮5, 李静尧5   

  1. 1宁夏大学林业与草业学院, 银川 750021;
    2宁夏大学宁夏草牧业工程技术研究中心, 银川 750021;
    3宁夏大学农业农村部饲草高效生产模式创新重点实验室, 银川 750021;
    4宁夏大学西北土地退化与生态恢复国家重点实验室培育基地, 银川 750021;
    5宁夏贺兰山国家级自然保护区管理局, 银川 750021
  • 收稿日期:2024-04-09 接受日期:2024-08-09 出版日期:2024-10-18 发布日期:2025-04-18
  • 通讯作者: * E-mail: lxwpq@126.com
  • 作者简介:王文强, 男, 1999年生, 硕士研究生。主要从事草地生态与资源利用研究。E-mail: 12022131415@stu.nxu.edu.cn
  • 基金资助:
    国家自然科学基金项目(31560154)、贺兰山植被群落生物量与草食兽数量的关系研究项目(2022)、贺兰山东麓珍稀濒危植物斑子麻黄保护生物学研究项目(2022)和宁夏高等学校一流学科建设(草学学科)项目(NXYLXK2017A01)

Impact of climate change on the potential geographical distribution of Hippophae rhamnoides subsp. sinensis

WANG Wenqiang1,2,3,4, YANG Bo1,2,3,4, LI Xiaowei1,2,3,4*, LIANG Yongliang5, LI Jingyao5   

  1. 1College of Forestry and Prataculture, Ningxia University, Yinchuan 750021, China;
    2Ningxia Grassland and Animal Husbandry Engineering Technology Research Center, Ningxia University, Yinchuan 750021, China;
    3Ministry of Agriculture and Rural Affairs Key Laboratory for Model Innovation in Forage Production Efficiency, Ningxia University, Yinchuan 750021, China;
    4Cultivation Base of State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Ningxia University, Yinchuan 750021, China;
    5Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China
  • Received:2024-04-09 Accepted:2024-08-09 Online:2024-10-18 Published:2025-04-18

摘要: 中国沙棘作为重要的资源植物,具有较高的药用、经济和生态价值,也是森林和草原过渡带的重要指示物种。预测气候变化下中国沙棘的潜在地理分布,不仅能够揭示我国草原与森林植被带对全球气候变化的响应格局,也对中国沙棘资源保护和开发具有重要价值。本研究利用中国沙棘的分布数据,基于Biomod2组合模型,对未来气候变化下中国沙棘的适生区进行预测,并结合2020年中国土地利用类型遥感数据,分析适生区土地利用类型的变化趋势。结果表明: Biomod2组合模型相对于单一模型有效提高了中国沙棘适生区预测的精度和准确性。中国沙棘的分布区主要集中在辽宁到西藏的对角线两侧,处于森林和草原的过渡带。在SSP126情景下,未来中国沙棘的适生区呈先扩张后收缩的趋势;在SSP585情景下呈持续扩张趋势;在全球变暖的背景下,整体上中国沙棘未来的适生区呈扩张趋势。2050和2070年,中国沙棘适生区中草地的面积不断增加,而森林、耕地和建设用地的面积持续减少。在未来气候变化下,中国沙棘分布中心将向高海拔草原区域迁移。影响中国沙棘分布的环境因子以气候因子为主,其中,贡献率最高的是最暖季降雨量。

关键词: Biomod2模型, 中国沙棘, 气候变化, 潜在适生区, 土地利用类型

Abstract: Hippophae rhamnoides subsp. sinensis is an important resource plant with considerable medicinal, economic, and ecological value, and an indicator species in the transition zones between forests and grasslands. Predicting the potential geographic distribution of H. rhamnoides subsp. sinensis under climate change can reveal the responses of China’s grassland and forest to global climate change, which is of significance for the conservation and development of its resources. We utilized distribution data of H. rhamnoides subsp. sinensis to predict its suitable habitats under future climate change based on the Biomod2 ensemble model, and analyzed the trend of land use type change in these habitats in conjunction with remote sensing data of land use types in China in 2020. The results showed that the Biomod2 ensemble model significantly improved the accuracy and precision of predicting H. rhamnoides subsp. sinensis compared to single models. The distribution of H. rhamnoides subsp. sinensis was primarily concentrated on both sides of the diagonal from Liaoning to Tibet, situated in forest-grassland ecotone. Under the SSP126 scenario, the suitable habitats for H. rhamnoides subsp. sinensis would initially expand and then contract. Under the SSP585 scenario, they would show a continuous expansion trend. In the context of global warming, the suitable habitats for H. rhamnoides subsp. sinensis would expand. By 2050 and 2070, the area of suitable habitats for H. rhamnoides subsp. sinensis in grasslands would increase, while areas currently occupied by forests, croplands, and developed land would continue to decrease. Under future climate change, the distribution center of H. rhamnoides subsp. sinensis would migrate towards higher-altitude grassland areas. Among the environmental factors affecting the distribution of H. rhamnoides subsp. sinensis, climate variables were predominant, with the highest contribution of rainfall during the warmest season.

Key words: Biomod2 model, Hippophae rhamnoides subsp. sinensis, climate change, potential suitable area, land use type