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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529807/ https://www.ncbi.nlm.nih.gov/pubmed/33004822 http://dx.doi.org/10.1038/s41467-020-18768-z |
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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. |
collection | PubMed |
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 Utqiaġvik, 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. |
format | Online Article Text |
id | pubmed-7529807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75298072020-10-19 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. Nat Commun Article 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 Utqiaġvik, 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. Nature Publishing Group UK 2020-10-01 /pmc/articles/PMC7529807/ /pubmed/33004822 http://dx.doi.org/10.1038/s41467-020-18768-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 |
title | 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_short | Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics |
title_sort | local-scale arctic tundra heterogeneity affects regional-scale carbon dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529807/ https://www.ncbi.nlm.nih.gov/pubmed/33004822 http://dx.doi.org/10.1038/s41467-020-18768-z |
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