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三维栖息地结构驱动北美地区鸟类功能和性状多样性。

Three-Dimensional Habitat Structure Drives Avian Functional and Trait Diversity Across North America.

作者信息

Sweeney Colin P, Peterman William, Zhao Kaiguang, Goodell Karen, Zuckerberg Benjamin, Jarzyna Marta A

机构信息

Department of Evolution, Ecology and Organismal Biology The Ohio State University Columbus Ohio USA.

School of Environment and Natural Resources The Ohio State University Columbus Ohio USA.

出版信息

Ecol Evol. 2025 Apr 23;15(4):e70988. doi: 10.1002/ece3.70988. eCollection 2025 Apr.

Abstract

Understanding how three-dimensional (3D) habitat structure drives biodiversity patterns is key to predicting how habitat alteration and loss will affect species and community-level patterns in the future. To date, few studies have contrasted the effects of 3D habitat composition with those of 3D habitat configuration on biodiversity, with existing investigations often limited to measures of taxonomic diversity (i.e., species richness). Here, we examined the influence of Light Detecting and Ranging (LiDAR)-derived 3D habitat structure-both its composition and configuration-on multiple facets of bird diversity. Specifically, we used data from the National Ecological Observatory Network (NEON) to test the associations between 11 measures of 3D habitat structure and avian species richness, functional and trait diversity, and phylogenetic diversity. We found that 3D habitat structure was the most consistent predictor of avian functional and trait diversity, with little to no effect on species richness or phylogenetic diversity. Functional diversity and individual trait characteristics were strongly associated with both 3D habitat composition and configuration, but the magnitude and the direction of the effects varied across the canopy, subcanopy, midstory, and understory vertical strata. Our findings suggest that 3D habitat structure influences avian diversity through its effects on traits. By examining the effects of multiple aspects of habitat structure on multiple facets of avian diversity, we provide a broader framework for future investigations on habitat structure.

摘要

了解三维(3D)栖息地结构如何驱动生物多样性模式是预测栖息地改变和丧失将如何影响未来物种和群落水平模式的关键。迄今为止,很少有研究对比3D栖息地组成和3D栖息地配置对生物多样性的影响,现有调查通常仅限于分类多样性(即物种丰富度)的测量。在这里,我们研究了基于光探测和测距(LiDAR)的3D栖息地结构——其组成和配置——对鸟类多样性多个方面的影响。具体而言,我们使用了来自国家生态观测站网络(NEON)的数据,来测试11种3D栖息地结构测量指标与鸟类物种丰富度、功能和性状多样性以及系统发育多样性之间的关联。我们发现,3D栖息地结构是鸟类功能和性状多样性最一致的预测指标,对物种丰富度或系统发育多样性几乎没有影响。功能多样性和个体性状特征与3D栖息地组成和配置都密切相关,但影响的程度和方向在树冠层、亚冠层、中层和林下垂直层次中各不相同。我们的研究结果表明,3D栖息地结构通过对性状的影响来影响鸟类多样性。通过研究栖息地结构的多个方面对鸟类多样性多个方面的影响,我们为未来关于栖息地结构的研究提供了一个更广泛的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3b7/12015643/93ee4e6fb826/ECE3-15-e70988-g006.jpg

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