气候变化领域集成服务门户(CCPortal): Remote spectral detection of biodiversity effects on forest biomass

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DOI	10.1038/s41559-020-01329-4
	Remote spectral detection of biodiversity effects on forest biomass
	Williams L.J.; Cavender-Bares J.; Townsend P.A.; Couture J.J.; Wang Z.; Stefanski A.; Messier C.; Reich P.B.
发表日期	2021
ISSN	2397-334X
起始页码	46
结束页码	54
卷号	5 期号:1
英文摘要	Quantifying how biodiversity affects ecosystem functions through time over large spatial extents is needed for meeting global biodiversity goals yet is infeasible with field-based approaches alone. Imaging spectroscopy is a tool with potential to help address this challenge. Here, we demonstrate a spectral approach to assess biodiversity effects in young forests that provides insight into its underlying drivers. Using airborne imaging of a tree-diversity experiment, spectral differences among stands enabled us to quantify net biodiversity effects on stem biomass and canopy nitrogen. By subsequently partitioning these effects, we reveal how distinct processes contribute to diversity-induced differences in stand-level spectra, chemistry and biomass. Across stands, biomass overyielding was best explained by species with greater leaf nitrogen dominating upper canopies in mixtures, rather than intraspecific shifts in canopy structure or chemistry. Remote imaging spectroscopy may help to detect the form and drivers of biodiversity–ecosystem function relationships across space and time, advancing the capacity to monitor and manage Earth’s ecosystems. ? 2020, The Author(s), under exclusive licence to Springer Nature Limited.
语种	英语
scopus关键词	biodiversity; biomass; ecosystem; forest; tree; Biodiversity; Biomass; Ecosystem; Forests; Trees
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/257051
作者单位	Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, United States; Department of Forest Resources, University of Minnesota, St Paul, MN, United States; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, United States; Department of Entomology, Purdue University, West Lafayette, IN, United States; Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, United States; Centre for Forest Research, Université du Québec à Montréal, Montréal, QC, Canada; Institut des sciences de la forêt tempérée, Université du Québec en Outaouais, Ripon, QC, Canada; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
推荐引用方式 GB/T 7714	Williams L.J.,Cavender-Bares J.,Townsend P.A.,et al. Remote spectral detection of biodiversity effects on forest biomass[J],2021,5(1).
APA	Williams L.J..,Cavender-Bares J..,Townsend P.A..,Couture J.J..,Wang Z..,...&Reich P.B..(2021).Remote spectral detection of biodiversity effects on forest biomass.Nature Ecology & Evolution,5(1).
MLA	Williams L.J.,et al."Remote spectral detection of biodiversity effects on forest biomass".Nature Ecology & Evolution 5.1(2021).