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The Arctic plant aboveground biomass synthesis dataset
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, United States.
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, United States.
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, United States.
Department of Ecoscience, Aarhus University, Aarhus, Denmark.
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2024 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 11, no 1, article id 305Article in journal (Refereed) Published
Abstract [en]

Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.

Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 11, no 1, article id 305
National Category
Climate Research Forest Science
Identifiers
URN: urn:nbn:se:umu:diva-222885DOI: 10.1038/s41597-024-03139-wPubMedID: 38509110Scopus ID: 2-s2.0-85188251449OAI: oai:DiVA.org:umu-222885DiVA, id: diva2:1851011
Funder
Swedish Research Council, 2021-05767Available from: 2024-04-12 Created: 2024-04-12 Last updated: 2024-04-12Bibliographically approved

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Olofsson, JohanSiewert, Matthias B.

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CiteExportLink to record
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Citation style
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