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跨维度的植物多样性:结合地面和空中的生物多样性测量方法。

Plant diversity across dimensions: Coupling biodiversity measures from the ground and the sky.

作者信息

Pinto-Ledezma Jesús N, Schweiger Anna K, Guzmán Q J Antonio, Cavender-Bares Jeannine

机构信息

Department of Ecology, Evolution and Behavior, University of Minnesota, 1479 Gortner Ave., Saint Paul, MN 55108, USA.

Department of Land Resources and Environmental Sciences, Montana State University, Leon Johnson Hall 327, Bozeman, MT 59717, USA.

出版信息

Sci Adv. 2025 Jan 24;11(4):eadr0278. doi: 10.1126/sciadv.adr0278.

Abstract

Tracking biodiversity across biomes over space and time has emerged as an imperative in unified global efforts to manage our living planet for a sustainable future for humanity. We harness the National Ecological Observatory Network to develop routines using airborne spectroscopic imagery to predict multiple dimensions of plant biodiversity at continental scale across biomes in the US. Our findings show strong and positive associations between diversity metrics based on spectral species and ground-based plant species richness and other dimensions of plant diversity, whereas metrics based on distance matrices did not. We found that spectral diversity consistently predicts analogous metrics of plant taxonomic, functional, and phylogenetic dimensions of biodiversity across biomes. The approach demonstrates promise for monitoring dimensions of biodiversity globally by integrating ground-based measures of biodiversity with imaging spectroscopy and advances capacity toward a Global Biodiversity Observing System.

摘要

随着全球为人类可持续未来管理我们的地球而开展统一努力,跨生物群落、跨时空追踪生物多样性已成为当务之急。我们利用国家生态观测站网络,开发利用航空光谱图像的程序,以预测美国大陆范围内跨生物群落的植物生物多样性的多个维度。我们的研究结果表明,基于光谱物种的多样性指标与地面植物物种丰富度及植物多样性的其他维度之间存在强烈的正相关关系,而基于距离矩阵的指标则不然。我们发现,光谱多样性始终能够预测跨生物群落的植物生物多样性在分类学、功能和系统发育维度上的类似指标。该方法通过将地面生物多样性测量与成像光谱学相结合,展示了在全球范围内监测生物多样性维度的前景,并提升了迈向全球生物多样性观测系统的能力。

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