TY - JOUR
T1 - Next generation Arctic vegetation maps
T2 - Aboveground plant biomass and woody dominance mapped at 30 m resolution across the tundra biome
AU - Orndahl, Kathleen M.
AU - Berner, Logan T.
AU - Macander, Matthew J.
AU - Arndal, Marie F.
AU - Alexander, Heather D.
AU - Humphreys, Elyn R.
AU - Loranty, Michael M.
AU - Ludwig, Sarah M.
AU - Nyman, Johanna
AU - Juutinen, Sari
AU - Aurela, Mika
AU - Mikola, Juha
AU - Mack, Michelle C.
AU - Rose, Melissa
AU - Vankoughnett, Mathew R.
AU - Iversen, Colleen M.
AU - Kumar, Jitendra
AU - Salmon, Verity G.
AU - Yang, Dedi
AU - Grogan, Paul
AU - Danby, Ryan K.
AU - Scott, Neal A.
AU - Olofsson, Johan
AU - Siewert, Matthias B.
AU - Deschamps, Lucas
AU - Maire, Vincent
AU - Lévesque, Esther
AU - Gauthier, Gilles
AU - Boudreau, Stéphane
AU - Gaspard, Anna
AU - Bret-Harte, M. Syndonia
AU - Raynolds, Martha K.
AU - Walker, Donald A.
AU - Michelsen, Anders
AU - Kumpula, Timo
AU - Villoslada, Miguel
AU - Ylänne, Henni
AU - Luoto, Miska
AU - Virtanen, Tarmo
AU - Greaves, Heather E.
AU - Forbes, Bruce C.
AU - Heim, Ramona J.
AU - Hölzel, Norbert
AU - Epstein, Howard
AU - Bunn, Andrew G.
AU - Holmes, Robert Max
AU - Natali, Susan M.
AU - Virkkala, Anna Maria
AU - Goetz, Scott J.
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/6/1
Y1 - 2025/6/1
N2 - The Arctic is warming faster than anywhere else on Earth, placing tundra ecosystems at the forefront of global climate change. Plant biomass is a fundamental ecosystem attribute that is sensitive to changes in climate, closely tied to ecological function, and crucial for constraining ecosystem carbon dynamics. However, the amount, functional composition, and distribution of plant biomass are only coarsely quantified across the Arctic. Therefore, we developed the first moderate resolution (30 m) maps of live aboveground plant biomass (g m−2) and woody plant dominance (%) for the Arctic tundra biome, including the mountainous Oro Arctic. We modeled biomass for the year 2020 using a new synthesis dataset of field biomass harvest measurements, Landsat satellite seasonal synthetic composites, ancillary geospatial data, and machine learning models. Additionally, we quantified pixel-wise uncertainty in biomass predictions using Monte Carlo simulations and validated the models using a robust, spatially blocked and nested cross-validation procedure. Observed plant and woody plant biomass values ranged from 0 to ∼6000 g m−2 (mean ≈ 350 g m−2), while predicted values ranged from 0 to ∼4000 g m−2 (mean ≈ 275 g m−2), resulting in model validation root-mean-squared-error (RMSE) ≈ 400 g m−2 and R2 ≈ 0.6. Our maps not only capture large-scale patterns of plant biomass and woody plant dominance across the Arctic that are linked to climatic variation (e.g., thawing degree days), but also illustrate how fine-scale patterns are shaped by local surface hydrology, topography, and past disturbance. By providing data on plant biomass across Arctic tundra ecosystems at the highest resolution to date, our maps can significantly advance research and inform decision-making on topics ranging from Arctic vegetation monitoring and wildlife conservation to carbon accounting and land surface modeling.
AB - The Arctic is warming faster than anywhere else on Earth, placing tundra ecosystems at the forefront of global climate change. Plant biomass is a fundamental ecosystem attribute that is sensitive to changes in climate, closely tied to ecological function, and crucial for constraining ecosystem carbon dynamics. However, the amount, functional composition, and distribution of plant biomass are only coarsely quantified across the Arctic. Therefore, we developed the first moderate resolution (30 m) maps of live aboveground plant biomass (g m−2) and woody plant dominance (%) for the Arctic tundra biome, including the mountainous Oro Arctic. We modeled biomass for the year 2020 using a new synthesis dataset of field biomass harvest measurements, Landsat satellite seasonal synthetic composites, ancillary geospatial data, and machine learning models. Additionally, we quantified pixel-wise uncertainty in biomass predictions using Monte Carlo simulations and validated the models using a robust, spatially blocked and nested cross-validation procedure. Observed plant and woody plant biomass values ranged from 0 to ∼6000 g m−2 (mean ≈ 350 g m−2), while predicted values ranged from 0 to ∼4000 g m−2 (mean ≈ 275 g m−2), resulting in model validation root-mean-squared-error (RMSE) ≈ 400 g m−2 and R2 ≈ 0.6. Our maps not only capture large-scale patterns of plant biomass and woody plant dominance across the Arctic that are linked to climatic variation (e.g., thawing degree days), but also illustrate how fine-scale patterns are shaped by local surface hydrology, topography, and past disturbance. By providing data on plant biomass across Arctic tundra ecosystems at the highest resolution to date, our maps can significantly advance research and inform decision-making on topics ranging from Arctic vegetation monitoring and wildlife conservation to carbon accounting and land surface modeling.
KW - Climate change
KW - Landsat
KW - Pan Arctic
KW - Plant biomass
KW - Remote sensing
KW - Vegetation distribution
KW - Woody plant dominance
UR - http://www.scopus.com/inward/record.url?scp=105001483754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105001483754&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2025.114717
DO - 10.1016/j.rse.2025.114717
M3 - Article
AN - SCOPUS:105001483754
SN - 0034-4257
VL - 323
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
M1 - 114717
ER -