生物多样性 ›› 2020, Vol. 28 ›› Issue (12): 1523-1532.DOI: 10.17520/biods.2020352

• 黄河流域生物多样性保护专题 • 上一篇    下一篇

黄河流域被子植物和陆栖脊椎动物丰富度格局及其影响因子

孙远, 胡维刚, 姚树冉, 孙颖, 邓建明*()   

  1. 兰州大学生命科学学院, 草地农业生态系统国家重点实验室, 兰州 730000
  • 收稿日期:2020-09-01 接受日期:2020-12-15 出版日期:2020-12-20 发布日期:2020-12-28
  • 通讯作者: 邓建明
  • 作者简介:: E-mail: dengjm@lzu.edu.cn
  • 基金资助:
    生态环境部生物多样性调查评估项(2019HJ2096001006);国家自然科学基金项目(31770430);国家自然科学基金项目(31700463);国家科技基础资源调查专项项目(2019FY102002);甘肃省创新基地和人才计划第二批项目(20190323)

Geographic patterns and environmental determinants of angiosperm and terrestrial vertebrate species richness in the Yellow River basin

Yuan Sun, Weigang Hu, Shuran Yao, Ying Sun, Jianming Deng*()   

  1. School of Life Sciences, State Key Laboratory of Grassland Agro-Ecosystem, Lanzhou University, Lanzhou 730000
  • Received:2020-09-01 Accepted:2020-12-15 Online:2020-12-20 Published:2020-12-28
  • Contact: Jianming Deng

摘要:

生物多样性的大尺度空间分布格局及其形成机制一直是生态学和生物地理学的核心内容。黄河流域是我国重要的生态屏障, 明确该区域动植物多样性分布格局及其影响因素, 对我国黄河流域生态保护和高质量发展具有重要意义。本研究通过收集黄河流域被子植物和陆栖脊椎动物分布数据, 结合气候、环境异质性和人类活动等信息, 探讨了黄河流域被子植物和陆栖脊椎动物物种丰富度格局及其主要影响因素。结果表明, 黄河流域被子植物和陆栖脊椎动物物种丰富度在区域尺度具有相似的分布格局: 南部山地动植物物种丰富度最高, 而东部高寒区和北部干旱区物种丰富度最低。回归树模型表明, 冠层高度范围和净初级生产力范围分别是黄河流域被子植物和陆栖脊椎动物物种丰富度最重要的预测因子; 当移除空间自相关影响后, 环境异质性和气候因子依然对区域尺度的动植物物种丰富度具有较高且相似的解释度。表明环境异质性和气候共同决定了黄河流域被子植物和陆栖脊椎动物物种丰富度格局, 而人类使用土地面积并不是影响黄河流域动植物物种丰富度格局的主要因子。因此, 在未来的研究中若针对不同区域筛选出更精准的环境驱动因子或选用更多不同类别的环境异质性因子进行分析, 将有助于更深入理解物种多样性格局的成因。

关键词: 被子植物, 陆栖脊椎动物, 空间分布格局, 气候, 环境异质性, 黄河流域

Abstract

Large-scale spatial distribution patterns of biodiversity and understanding the mechanisms that form these patterns are core questions for the fields of ecology and biogeography. The Yellow River basin is an important ecological barrier in China. Therefore, understanding the distribution patterns of plant and animal richness and what influences these patterns for is important for the ecological conservation and high-quality development of the Yellow River basin. Here, we used collected data for several variables (species spatial distribution, climate, environmental heterogeneity, and human activity) to explore the spatial distribution patterns of species richness and their main influencing factors for angiosperms and terrestrial vertebrates in the Yellow River basin. We found that the species richness for angiosperms and terrestrial vertebrates had similar distribution patterns at regional scale. Species richness was highest in the southern mountain region and lowest in the eastern alpine region and the northern arid region. Tree regression models showed that the canopy height range was the most important predictor for angiosperm species richness and net primary productivity range was the most important predictor for terrestrial vertebrate species richness. When the spatial autocorrelation was removed, environmental heterogeneity and climatic factors still had important and similar explanations for species richness at regional scale. The results indicate that species richness is determined by environmental heterogeneity and climate. Human activity was not a main influencing factor for species richness pattern. For future research, choosing more accurate environmental driving factors for different regions or selecting different types of environmental heterogeneity factors for analyses will help with understanding the causes of species diversity patterns more deeply.

Key words: angiosperms, terrestrial vertebrates, spatial distribution patterns, climate, environmental heterogeneity, Yellow River basin