The Arctic Plant Aboveground Biomass Synthesis Dataset

Logan T. Berner, Kathleen M. Orndahl, Melissa Rose, Mikkel Tamstorf, Marie F. Arndal, Heather D. Alexander, Elyn R. Humphreys, Michael M. Loranty, Sarah M. Ludwig, Johanna Nyman, Sari Juutinen, Mika Aurela, Konsta Happonen, Juha Mikola, Michelle C. Mack, Mathew R. Vankoughnett, Colleen M. Iversen, Verity G. Salmon, Dedi Yang, Jitendra KumarPaul Grogan, Ryan K. Danby, Neal A. Scott, Johan Olofsson, Matthias B. Siewert, Lucas Deschamps, Esther Lévesque, Vincent Maire, Amélie Morneault, Gilles Gauthier, Charles Gignac, Stéphane Boudreau, Anna Gaspard, Alexander Kholodov, M. Syndonia Bret-Harte, Heather E. Greaves, Donald Walker, Fiona M. Gregory, Anders Michelsen, Timo Kumpula, Miguel Villoslada, Henni Ylänne, Miska Luoto, Tarmo Virtanen, Bruce C. Forbes, Norbert Hölzel, Howard Epstein, Ramona J. Heim, Andrew Bunn, Robert M. Holmes, Jacqueline K.Y. Hung, Susan M. Natali, Anna Maria Virkkala, Scott J. Goetz

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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−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.

Original languageEnglish
Article number305
JournalScientific Data
Volume11
Issue number1
DOIs
StatePublished - Dec 2024

Funding

We gratefully acknowledge the many individuals who helped collect, process, and manage the individual field datasets, including, but not limited to, Drs. Martha Raynolds, Gus Shaver, and James Laundre. We also thank Dr. Simeon Lisovski and an anonymous reviewer for constructive feedback during peer review. This material is based upon work supported by the National Aeronautics and Space Administration (NASA) Early Career Investigator Program in Earth Science (Grant No. 80NSSC21K1364 to LTB), the National Science Foundation (NSF) Navigating the New Arctic Big Idea (Grant No. 2127273 to LTB and SJG), and the NASA Arctic Boreal Vulnerability Experiment (ABoVE; Grant No. 80NSSC22K1247 to SJG and LTB). Further support was provided by US, Canadian, and European entities. HEG acknowledges support from the NASA Terrestrial Ecology Program (Grant No. NNX12AK83G) and NASA Earth Science Fellowship (Grant No. NNX15AP04H). HE acknowledges support from the NASA Land Cover Land Use Change Program and NSF Biocomplexity Program. MML acknowledges support from the NSF Office of Polar Programs (Grant No. 1417745). MCM acknowledges support from the NSF Division of Environmental Biology (Grant No. DEB-2224776 and DEB-1636476). CMI, VGS, and JK acknowledge support from The Next Generation Ecosystem Experiments in the Arctic (NGEE Arctic) project that is supported by the Biological and Environmental Research Program in the Department of Energy\u2019s Office of Science. Canadian entities provided support for this research. ERM acknowledges support from POLAR Knowledge Canada (POLAR) and Natural Sciences and Engineering Research Council of Canada (NSERC). NAS and FMG acknowledge support from the Northern Scientific Training Program (NSTP), International Polar Year (IPY), NSERC, ArcticNet, and Queen\u2019s University. EL and AM acknowledge support from the Fonds de Recherche du Qu\u00E9bec-Nature et technologies (Grant No. FRQNT-2018- PR- 208107), NSERC Discovery Program, and Natural Resources Canada Polar Continental Shelf Program (NRC PCSP). AM also acknowledges support from the NSTP, NSERC Master Fellowship Programs, and ArcticNet. GG and CG acknowledge support from the FRQNT, NSERC, POLAR, ArcticNet, NRC PCSP, and Facult\u00E9 des sciences de l\u2019agriculture et de l\u2019alimentation of Universit\u00E9 Laval. SB acknowledges support from the Qu\u00E9bec Minist\u00E8re de la For\u00EAt, de la Faune et des Parcs. European entities provided further support for this research. AM acknowledges support from the Independent Research Fund Denmark (Grant No. 0135-00140B and 2032-00064B). MBS acknowledges support from the Swedish Research Council (Grant No. 2021-05767). A-MV acknowledges support from the Otto Malm foundation, Nordenski\u00F6ld samfundet, and Societas Pro Fauna et Flora Fennica. JM acknowledges support from the Academy of Finland, Finnish Center of Excellence Program, and EU FP7. The Academy of Finland also supported TK and MV under Grant No. 330319, HY under Grant No. 330845, ML under Grant No. 1342890, and BCF under Grant No. 256991. BCF acknowledges further support from the European Commission Research and Innovation (CHARTER; Grant No. 869471).

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