广东省蜻蜓目物种多样性空间格局及关键影响因素

doi:10.17520/biods.2025337

生物多样性

广东省蜻蜓目物种多样性空间格局及关键影响因素

周婷婷¹, 张浩淼², 王浩杰¹, 廖健¹, 陈晓丹¹, 杨楠¹, 韩博平¹, 刘振元^1*

1. 暨南大学生命科学技术学院生态学系/水生生物研究中心, 广州 510632; 2. 中国科学院昆明动物研究所, 昆明 650201

收稿日期:2025-08-22 修回日期:2026-01-08 接受日期:2026-02-26
通讯作者: 刘振元
基金资助:
国家自然科学基金(32501423); 广东省基础与应用基础研究基金面上项目(2024A1515012243); 中国博士后科学基金面上项目(2024A1515012243)

Geographical patterns and key influence factors of Odonata species diversity in Guangdong Province

Tingting Zhou¹, Haomiao Zhang², Haojie Wang¹, Jian Liao¹, Xiaodan Chen¹, Nan Yang¹, Boping Han¹, Zhenyuan Liu^1*

1 Department of Ecology and Research Center of Hydrobiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China

2 Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China

Received:2025-08-22 Revised:2026-01-08 Accepted:2026-02-26
Contact: Zhenyuan Liu
Supported by:
National Natural Science Foundation of China(32501423); Guangdong Basic and Applied Basic Research Foundation(2024A1515012243); China Postdoctoral Science Foundation under Grant(2024A1515012243)

摘要/Abstract

摘要： 广东省地处我国热带气候北缘, 横跨北回归线。温暖湿润的气候、复杂的山地与密布发达的水系, 共同孕育了丰富的生物多样性。尽管广东省陆生植物和脊椎动物的研究较为深入, 但水生昆虫多样性的系统调查仍相对滞后。本研究以蜻蜓目为研究对象, 基于团队多年野外调查和文献梳理, 首次构建了较为完整的广东省蜻蜓物种名录和地理分布数据集, 综合分析了物种组成和区系特征、物种多样性空间格局及关键影响因素。共记录蜻蜓2亚目19科115属261种(含亚种), 其中中国特有种71种, 占总物种数的27.20%。在区系组成方面, 东洋界分布型物种占据主导地位, 有199种(含亚种), 其次为古北界-东洋界分布型物种62种(含亚种)。在区系类型组成上, 华南区-华中区类型占比最高(90种, 34.48%), 其次为华南区类型(63种, 24.14%)。空间格局方面, 广东省中北部山区为蜻蜓物种多样性热点地区, 如惠州市龙门县和广州市增城区分别记录蜻蜓173种(含亚种)和154种(含亚种), 而东部和西部物种多样性偏低。冗余分析结果显示, 年平均温度、年平均降水量、农田占比、森林占比、水体占比和海拔范围是影响蜻蜓群落结构的关键环境因子。变差分解分析结果表明, 气候、地形以及土地利用因素共同解释了蜻蜓群落结构空间变异, 气候因素独立解释率最高(8%)。本研究对广东省蜻蜓区系特征及物种多样性空间格局的研究, 可为广东省昆虫区系地理格局及生物多样性保护提供基础数据支撑。

关键词: 水生昆虫, 蜻蜓目, 华南区, 物种多样性, 区系组成

Abstract

Aims: Guangdong Province, located at the northern boundary of the tropical climatic zone, harbors exceptionally high biodiversity due to its warm, humid climate, complex terrain, and dense river networks. However, aquatic insects, especially Odonata, have been insufficiently surveyed compared with terrestrial taxa. This study aims to elucidate species composition, zoogeographical characteristics, geographical patterns and key environmental drivers of Odonata taxonomic diversity in Guangdong Province.

Methods: Redundancy analysis (RDA) combined with forward selection was used to identify key environmental variables associated with Odonata community structure. Subsequently, variation partitioning analysis (VPA) was applied to disentangle the relative contributions of climate, topography, and land-use factors to spatial variation in community composition.

Results: A total of 261 species (including subspecies), belonging to 115 genera and 19 families across two suborders, were recorded. Among them, 71 species are endemic to China, representing 27.2% of the total richness. In terms of faunal composition, species with an Oriental distribution (restricted to the Oriental realm) predominate, comprising 199 species (including subspecies), followed by Palearctic-Oriental species distributed across both realms, totaling 62 species (including subspecies). Regarding zoogeographical types, the South China–Central China type is most common (90 species; 34.5%), followed by the South China type (63 species; 24.1%). Spatial analyses identified the central and northern mountainous regions as diversity hotspots, with Longmen County (Huizhou) and Zengcheng District (Guangzhou) harboring 173 and 154 species, respectively, while eastern and western Guangdong exhibited comparatively lower diversity. RDA revealed that mean annual temperature, mean annual precipitation, farmland proportion, forest proportion, water-body proportion, and elevation range are the principal environmental factors shaping Odonata community structure. VPA showed that climate, topography, and land-use jointly explain spatial variation of community composition, with climate uniquely contributing the highest independent fraction (8%).

Conclusion: This study provides the first systematic assessment of the faunal characteristics and geographical patterns of Odonata diversity in Guangdong Province, identifying the key environmental drivers shaping community structure. The results fill a critical knowledge gap in aquatic insect diversity within the province and provide essential baseline information for faunal biogeography, biodiversity monitoring, conservation planning, and evaluation of management effectiveness.

Key words: aquatic insects, Odonata, South China region, species diversity, faunal composition

周婷婷, 张浩淼, 王浩杰, 廖健, 陈晓丹, 杨楠, 韩博平, 刘振元. 广东省蜻蜓目物种多样性空间格局及关键影响因素. 生物多样性, DOI: 10.17520/biods.2025337.

Tingting Zhou, Haomiao Zhang, Haojie Wang, Jian Liao, Xiaodan Chen, Nan Yang, Boping Han, Zhenyuan Liu. Geographical patterns and key influence factors of Odonata species diversity in Guangdong Province. Biodiversity Science, DOI: 10.17520/biods.2025337.

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