Blue Vane and Pan Traps Are More Effective for Profiling Multiple Facets of Bee Diversity in Subtropical Forests

The choice of trap in entomological surveys affects the composition of captured insects, though previous comparative studies have been limited in the types of composition measured, and the effects of environmental context. We assessed the sampling bias of several traps commonly used in pollinator monitoring: blue, yellow, and white pan traps, and blue vane traps, towards different taxonomic and functional groups and their efficiency in measuring taxonomic, phylogenetic, and functional diversity. Analyses were performed in monoculture and mixed forests to understand the environmental context of trap efficiency. We found that blue pan traps generally outperformed other types in bee capture and exhibited a preference for Halictidae bees. Blue pan traps yielded the highest species richness and phylogenetic diversity, while blue vane traps captured the highest functional richness. Bias differences were frequently detected in mixed forests compared with monoculture forests. We also found the combination of blue vane and pan traps consistently correlated highest with a complete survey among two-method combinations. Based on our findings, we recommend a combination of blue vane and pan traps to obtain a more comprehensive bee collection in an efficient manner. Additionally, it is crucial to consider habitat type when designing bee trapping protocols to ensure an accurate representation of bee communities.

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Publication Details

Journal
Insects
Published
2024-11-20
DOI
https://doi.org/10.3390/insects15110909
Citations
2
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
2.06

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article

Blue Vane and Pan Traps Are More Effective for Profiling Multiple Facets of Bee Diversity in Subtropical Forests

Mingqiang Wang, Dan Zhang, Chengyong Su, Jiasheng Hao et al.
2 citations
Insects
Plant and animal studies
2.06
article

Blue Vane and Pan Traps Are More Effective for Profiling Multiple Facets of Bee Diversity in Subtropical Forests

Mingqiang Wang, Dan Zhang, Chengyong Su, Jiasheng Hao, Douglas Chesters, Ze‐Qing Niu, Yi Li, Keping Ma, Qingsong Zhou, Tingting Xie, Feng Yuan, Xiuwei Liu, Chao-Dong Zhu
article en
2 citations

Abstract

The choice of trap in entomological surveys affects the composition of captured insects, though previous comparative studies have been limited in the types of composition measured, and the effects of environmental context. We assessed the sampling bias of several traps commonly used in pollinator monitoring: blue, yellow, and white pan traps, and blue vane traps, towards different taxonomic and functional groups and their efficiency in measuring taxonomic, phylogenetic, and functional diversity. Analyses were performed in monoculture and mixed forests to understand the environmental context of trap efficiency. We found that blue pan traps generally outperformed other types in bee capture and exhibited a preference for Halictidae bees. Blue pan traps yielded the highest species richness and phylogenetic diversity, while blue vane traps captured the highest functional richness. Bias differences were frequently detected in mixed forests compared with monoculture forests. We also found the combination of blue vane and pan traps consistently correlated highest with a complete survey among two-method combinations. Based on our findings, we recommend a combination of blue vane and pan traps to obtain a more comprehensive bee collection in an efficient manner. Additionally, it is crucial to consider habitat type when designing bee trapping protocols to ensure an accurate representation of bee communities.

InsectsVol. 15(11)
Chinese Academy of Sciences (CN), Beijing Botanical Garden (CN), Shandong University of Political Science and Law (CN), Institute of Agro-Products Processing Science and Technology (CN), Chengdu Institute of Biology (CN), Institute of Botany (CN), University of Chinese Academy of Sciences (CN), Institute of Zoology (CN), China National Botanical Garden, Anhui Normal University (CN)
National Science Foundation, National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 11%
Plant and animal studies
2.06
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