Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics

In northern Alaska nearly 65% of the terrestrial surface is composed of polygonal ground, where geomorphic tundra landforms disproportionately influence carbon and nutrient cycling over fine spatial scales. Process-based biogeochemical models used for local to Pan-Arctic projections of ecological re...

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Published in:Nature Communications
Main Authors: Lara, M. J., McGuire, A. D., Euskirchen, E. S., Genet, H., Yi, S., Rutter, R., Iversen, C., Sloan, V., Wullschleger, S. D.
Language:unknown
Published: 2021
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1773659
https://www.osti.gov/biblio/1773659
https://doi.org/10.1038/s41467-020-18768-z
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spelling ftosti:oai:osti.gov:1773659 2023-07-30T04:01:03+02:00 Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics Lara, M. J. McGuire, A. D. Euskirchen, E. S. Genet, H. Yi, S. Rutter, R. Iversen, C. Sloan, V. Wullschleger, S. D. 2021-04-23 application/pdf http://www.osti.gov/servlets/purl/1773659 https://www.osti.gov/biblio/1773659 https://doi.org/10.1038/s41467-020-18768-z unknown http://www.osti.gov/servlets/purl/1773659 https://www.osti.gov/biblio/1773659 https://doi.org/10.1038/s41467-020-18768-z doi:10.1038/s41467-020-18768-z 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.1038/s41467-020-18768-z 2023-07-11T10:02:20Z In northern Alaska nearly 65% of the terrestrial surface is composed of polygonal ground, where geomorphic tundra landforms disproportionately influence carbon and nutrient cycling over fine spatial scales. Process-based biogeochemical models used for local to Pan-Arctic projections of ecological responses to climate change typically operate at coarse-scales (1km 2 –0.5°) at which fine-scale (<1km 2 ) tundra heterogeneity is often aggregated to the dominant land cover unit. Here, we evaluate the importance of tundra heterogeneity for representing soil carbon dynamics at fine to coarse spatial scales. We leveraged the legacy of data collected near Utqiagvik, Alaska between 1973 and 2016 for model initiation, parameterization, and validation. Simulation uncertainty increased with a reduced representation of tundra heterogeneity and coarsening of spatial scale. Hierarchical cluster analysis of an ensemble of 21 st -century simulations reveals that a minimum of two tundra landforms (dry and wet) and a maximum of 4km 2 spatial scale is necessary for minimizing uncertainties (<10%) in regional to Pan-Arctic modeling applications. Other/Unknown Material Arctic Climate change Tundra Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Nature Communications 11 1
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Lara, M. J.
McGuire, A. D.
Euskirchen, E. S.
Genet, H.
Yi, S.
Rutter, R.
Iversen, C.
Sloan, V.
Wullschleger, S. D.
Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
topic_facet 54 ENVIRONMENTAL SCIENCES
description In northern Alaska nearly 65% of the terrestrial surface is composed of polygonal ground, where geomorphic tundra landforms disproportionately influence carbon and nutrient cycling over fine spatial scales. Process-based biogeochemical models used for local to Pan-Arctic projections of ecological responses to climate change typically operate at coarse-scales (1km 2 –0.5°) at which fine-scale (<1km 2 ) tundra heterogeneity is often aggregated to the dominant land cover unit. Here, we evaluate the importance of tundra heterogeneity for representing soil carbon dynamics at fine to coarse spatial scales. We leveraged the legacy of data collected near Utqiagvik, Alaska between 1973 and 2016 for model initiation, parameterization, and validation. Simulation uncertainty increased with a reduced representation of tundra heterogeneity and coarsening of spatial scale. Hierarchical cluster analysis of an ensemble of 21 st -century simulations reveals that a minimum of two tundra landforms (dry and wet) and a maximum of 4km 2 spatial scale is necessary for minimizing uncertainties (<10%) in regional to Pan-Arctic modeling applications.
author Lara, M. J.
McGuire, A. D.
Euskirchen, E. S.
Genet, H.
Yi, S.
Rutter, R.
Iversen, C.
Sloan, V.
Wullschleger, S. D.
author_facet Lara, M. J.
McGuire, A. D.
Euskirchen, E. S.
Genet, H.
Yi, S.
Rutter, R.
Iversen, C.
Sloan, V.
Wullschleger, S. D.
author_sort Lara, M. J.
title Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
title_short Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
title_full Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
title_fullStr Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
title_full_unstemmed Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics
title_sort local-scale arctic tundra heterogeneity affects regional-scale carbon dynamics
publishDate 2021
url http://www.osti.gov/servlets/purl/1773659
https://www.osti.gov/biblio/1773659
https://doi.org/10.1038/s41467-020-18768-z
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Tundra
Alaska
genre_facet Arctic
Climate change
Tundra
Alaska
op_relation http://www.osti.gov/servlets/purl/1773659
https://www.osti.gov/biblio/1773659
https://doi.org/10.1038/s41467-020-18768-z
doi:10.1038/s41467-020-18768-z
op_doi https://doi.org/10.1038/s41467-020-18768-z
container_title Nature Communications
container_volume 11
container_issue 1
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