生物多样性

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中国黑戈壁地区植物群落物种、功能与系统发育β多样性分布格局及其影响因素

曹世宁1,余博航1,李景文1,冯益明2,卢琦2,王健铭1*   

  1. 1.北京林业大学生态与自然保护学院,北京 100083; 2.中国林业科学研究院荒漠化研究所,北京 100091
  • 收稿日期:2025-04-09 修回日期:2025-06-12 接受日期:2025-08-12
  • 通讯作者: 王健铭

Distribution patterns and drivers of plant taxonomic, functional, and phylogenetic β-diversity in China’s black gobi deserts

Shining Cao1, Bohang Yu1, Jingwen Li1, Yiming Feng2, Qi Lu2 ,Jianming Wang1*   

  1. 1 School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083; 

    2 Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091

  • Received:2025-04-09 Revised:2025-06-12 Accepted:2025-08-12
  • Contact: Jianming Wang

摘要: 黑戈壁广泛分布在我国新疆、甘肃和内蒙古地区,总面积超过20万km2,是我国西北地区代表性生态系统之一。黑戈壁地区兼具极端干旱、强紫外辐射和土壤养分贫瘠等环境胁迫特征,导致境内植物群落多样性具有显著的独特性。然而,由于自然条件恶劣和交通条件限制,该区域植物群落物种、功能和系统发育β多样性分布格局及其影响因素尚未得到系统研究。本研究于中国黑戈壁典型分布区设置了67个植物群落调查样点,通过系统的野外调查和室内测试分析工作,获取了6个关键叶片和细根功能性状,以及105个物种的系统发育树数据。通过计算物种、功能和系统发育β多样性,比较了这3个维度的β多样性格局与零模型的差异;量化了土壤理化因子、气候和空间变量对β多样性的相对影响,探讨了中国黑戈壁地区植物多样性地理分布格局及其关键影响因素。结果表明:(1)黑戈壁地区植物物种、功能和系统发育β多样性均表现出显著的距离衰减格局;(2)黑戈壁地区植物群落物种β多样性观测值与期望值间没有显著差异,表明黑戈壁植物群落物种β多样性符合中性过程预期;(3)功能和系统发育β多样性观测值与期望值间存在显著差异,表明黑戈壁植物群落功能和系统发育β多样性受生态位过程调控;(4)功能β多样性与系统发育β多样性之间存在解耦格局;(5)气候和土壤因素共同调控着黑戈壁植物群落3个维度的群落β多样性,但年降水量和太阳辐射强度有着更强的影响。以上结果表明,生态位过程和中性过程对黑戈壁植物群落β多样性的相对作用在不同维度间存在差异,且除了年降水量、年均温等水热因子外,太阳辐射强度也是黑戈壁植物群落β多样性重要的驱动因素。

关键词: 黑戈壁, 物种β多样性, 功能β多样性, 系统发育β多样性, 零模型

Abstract

Aims: Understanding the fundamental processes that underlie biogeographic patterns of biodiversity has long been a central issue in biogeography and ecology. It is widely accepted that niche processes and neutral processes work together to regulate the plant β-diversity. However, the relative influence of different ecological processes on plant taxonomic, functional, and phylogenetic β-diversity in China’s Black Gobi desert remains poorly understood. This lack of understanding hinders our comprehension of the assembly processes and the maintenance of plant diversity in Gobi deserts. 

Methods: We selected 67 sites within the typical distribution area of China’s Black Gobi desert region. Through systematic field surveys and laboratory analyses, we collected data on plant species abundance, six key leaf and root functional traits, and molecular phylogeny. 

Results: Plant taxonomic, functional, and phylogenetic β-diversity exhibited significant distance-decay patterns, with functional β-diversity showing the strongest relationship with geographic distance. Null model analysis indicated that the taxonomic β-diversity of China’s Black Gobi desert plant community displayed a random distribution pattern, suggesting that it is primarily regulated by neutral processes. In contrast, functional and phylogenetic β-diversity exhibited non-random distribution patterns, indicating that niche processes dominate plant functional and phylogenetic assembly. Notably, phylogenetic and functional β-diversity were decoupled in China’s Black Gobi desert. None of the six functional traits exhibited significant phylogenetic signals, suggesting that the functional traits of Gobi plants have not been conserved through evolutionary processes. Furthermore, variance partitioning analysis indicated that both soil and climatic factors jointly determine plant community β-diversity, with annual precipitation and solar radiation exerting a stronger influence. 

Conclusions: Our results indicated that the relative roles of niche processes and neutral processes in shaping the patterns of plant β-diversity in China’s Black Gobi desert vary among different dimensions. In addition to water-energy factors such as annual precipitation and mean annual temperature, solar radiation also emerges as an important driver for the plant β-diversity. Taken together, our findings highlight that the ecological drivers of plant diversity may differ among various dimensions and that solar radiation plays a key role in shaping plant diversity in the extremely harsh Gobi desert environments.

Key words: black gobi desert, taxonomic β-diversity, functional β-diversity, phylogenetic β-diversity, null model