Beta Diversity of Tenebrionid Beetles (Coleoptera, Tenebrionidae) in Ningxia Grasslands and Their Driving Factors
文献类型： 外文期刊
作者： Xiong, Changyu 1 ; Cao, Ziyu 1 ; Zhang, Haixiang 2 ; Wang, Ying 2 ; Sun, Wei 2 ; Shi, Chun 1 ; Cui, Yifan 2 ; Zhang, Rong 2 ; Wei, Shuhua 2 ;
作者机构： 1.North Minzu Univ, Coll Biol Sci & Engn, Yinchuan 750002, Peoples R China
2.Ningxia Acad Agr & Forestry Sci, Inst Plant Protect, Yinchuan 750002, Peoples R China
3.China Agr Univ, Coll Grassland Sci & Technol, Beijing 100193, Peoples R China
关键词： Ningxia grasslands; Tenebrionidae; beta diversity; environmental factors; driving mechanisms
期刊名称：BIOLOGY-BASEL （ 影响因子：3.5； 五年影响因子：4.0 ）
ISSN：
年卷期： 2025 年 14 卷 6 期
页码：
收录情况： SCI
摘要： This study explored the beta diversity patterns of tenebrionid beetles and their driving factors across four grassland types in Ningxia. A total of 32 monitoring sites were surveyed, capturing 5328 individuals from 47 tenebrionid species. Permutation multivariate dispersion (PERMDISP) and non-metric multidimensional scaling (NMDS) revealed significant differences in community composition among the four grassland types (Stress = 0.091). Beta diversity decomposition indicated that species replacement primarily drives beta diversity among four temperate grassland types. Canonical Correspondence Analysis (CCA) showed that mean temperature, field water holding capacity, total soil phosphorus, biomass of Asteraceae, biomass of Leguminosae, and frequency of Leguminosae significantly explained variations in dominant species abundance (p < 0.05). Mantel tests revealed that beta diversity was positively correlated with differences in mean temperature, field water holding capacity, total soil phosphorus, and Asteraceae biomass (p < 0.01), but negatively correlated with Leguminosae frequency (p < 0.05). Overall, daily mean temperature was the primary driver of diversity, with synergistic effects from climate, elevation, soil, and vegetation. This study provides a comprehensive analysis of environmental factors influencing tenebrionid diversity, offering insights for grassland biodiversity conservation.
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