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The Arctic Plant Aboveground Biomass Synthesis Dataset.

Authors :
Berner LT
Orndahl KM
Rose M
Tamstorf M
Arndal MF
Alexander HD
Humphreys ER
Loranty MM
Ludwig SM
Nyman J
Juutinen S
Aurela M
Happonen K
Mikola J
Mack MC
Vankoughnett MR
Iversen CM
Salmon VG
Yang D
Kumar J
Grogan P
Danby RK
Scott NA
Olofsson J
Siewert MB
Deschamps L
Lévesque E
Maire V
Morneault A
Gauthier G
Gignac C
Boudreau S
Gaspard A
Kholodov A
Bret-Harte MS
Greaves HE
Walker D
Gregory FM
Michelsen A
Kumpula T
Villoslada M
Ylänne H
Luoto M
Virtanen T
Forbes BC
Hölzel N
Epstein H
Heim RJ
Bunn A
Holmes RM
Hung JKY
Natali SM
Virkkala AM
Goetz SJ
Source :
Scientific data [Sci Data] 2024 Mar 20; Vol. 11 (1), pp. 305. Date of Electronic Publication: 2024 Mar 20.
Publication Year :
2024

Abstract

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 <superscript>-2</superscript> ) 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.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2052-4463
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Scientific data
Publication Type :
Academic Journal
Accession number :
38509110
Full Text :
https://doi.org/10.1038/s41597-024-03139-w