Suppr超能文献

甘肃地区大黄蜂多样性的模式与驱动因素

Patterns and Drivers of Bumblebee Diversity in Gansu.

作者信息

Naeem Muhammad, Chen Huanhuan, Li Wenbo, Hughes Alice C, Williams Paul H, Bashir Nawaz Haider, Miao Zhengying, Huang Jiaxing, An Jiandong

机构信息

College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China.

State Key Laboratory of Resource Insects, Key Laboratory of Insect-Pollinator Biology of Ministry of Agriculture and Rural Affairs, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

出版信息

Insects. 2024 Jul 21;15(7):552. doi: 10.3390/insects15070552.

Abstract

Understanding the influence of factors responsible for shaping community assemblage is crucial for biodiversity management and conservation. Gansu is one of the richest regions for bumblebee species in the world. We explored the distribution data of 52 bumblebee species collected in Gansu and its surroundings between 2002 and 2022, predicting habitat suitability based on 17 environmental variables using MaxEnt. The factors influencing community assemblage were assessed using canonical correspondence analysis. Net primary productivity, water vapor pressure, temperature seasonality, annual precipitation, and precipitation seasonality were some of the most influential drivers of species distributions. Based on Ward's agglomerative cluster analysis, four biogeographic zones are described: the Southern humid zone, the Western Qilian snow mountain zone, the Eastern Loess plateau zone, and the Western dry mountain zone. In the clusters of grid cells based on beta diversity values, the Southern humid zone comprised 42.5% of the grid cells, followed by the Eastern Loess plateau zone (32.5%), the Western dry mountain zone (20%), and the Western Qilian snow mountain zone (5%). Almost all the environmental factors showed a significant contribution to the assemblages of bumblebees of different groups. Our findings highlight the need for better data to understand species biogeography and diversity patterns, and they provide key baseline data for refining conservation strategies.

摘要

了解影响群落组合形成的因素对于生物多样性管理和保护至关重要。甘肃是世界上熊蜂物种最丰富的地区之一。我们研究了2002年至2022年间在甘肃及其周边地区采集的52种熊蜂的分布数据,使用最大熵模型(MaxEnt)基于17个环境变量预测栖息地适宜性。使用典范对应分析评估影响群落组合的因素。净初级生产力、水汽压、温度季节性、年降水量和降水季节性是物种分布的一些最具影响力的驱动因素。基于沃德凝聚聚类分析,描述了四个生物地理区域:南部湿润区、西部祁连雪山区、东部黄土高原区和西部干旱山区。在基于β多样性值的网格单元聚类中,南部湿润区占网格单元的42.5%,其次是东部黄土高原区(32.5%)、西部干旱山区(20%)和西部祁连雪山区(5%)。几乎所有环境因素对不同群体的熊蜂组合都有显著贡献。我们的研究结果强调需要更好的数据来了解物种生物地理学和多样性模式,并为完善保护策略提供关键的基线数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11276862/6d22124747d7/insects-15-00552-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验