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Patterns and Drivers of Bumblebee Diversity in Gansu.
Naeem, Muhammad; Chen, Huanhuan; Li, Wenbo; Hughes, Alice C; Williams, Paul H; Bashir, Nawaz Haider; Miao, Zhengying; Huang, Jiaxing; An, Jiandong.
Afiliación
  • Naeem M; College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China.
  • Chen H; 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.
  • Li W; College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China.
  • Hughes AC; 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.
  • Williams PH; Key Laboratory of Yunnan Provincial Department of Education of the Deep-Time Evolution on Biodiversity from the Origin of the Pearl River, Qujing Normal University, Qujing 655011, China.
  • Bashir NH; College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China.
  • Miao Z; School of Biological Sciences, University of Hong Kong, Hong Kong SAR 999077, China.
  • Huang J; The Natural History Museum, London SW75BD, UK.
  • An J; College of Biological Resource and Food Engineering, Qujing Normal University, Qujing 655011, China.
Insects ; 15(7)2024 Jul 21.
Article en En | MEDLINE | ID: mdl-39057284
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Insects Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Insects Año: 2024 Tipo del documento: Article País de afiliación: China
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