R codes, including functions and examples, are available at Zenodo: https://doi.org/10.5281/zenodo.13983114
Open resource ↗Zenodo · 10.5281/zenodo.13983114 · lines:153-226Unverified paper record
Plant diversity across dimensions: Coupling biodiversity measures from the ground and the sky
Science Advances · 24 Jan 2025 · 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.
Plant phenotyping relevance
航空分光画像を用いて植物多様性を予測するルーチンを開発し、地上データとの関連を評価しており、植物状態の推定手法が研究の中心である。
abstractWe 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.
abstractThe approach demonstrates promise for monitoring dimensions of biodiversity globally by integrating ground-based measures of biodiversity with imaging spectroscopy
Code and data availability
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