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Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100
The periglacial realm is a major part of the cryosphere, covering a quarter of Earth’s land surface. Cryogenic land surface processes (LSPs) control landscape development, ecosystem functioning and climate through biogeochemical feedbacks, but their response to contemporary climate change is unclear...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593823/ https://www.ncbi.nlm.nih.gov/pubmed/28894099 http://dx.doi.org/10.1038/s41467-017-00669-3 |
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author | Aalto, Juha Harrison, Stephan Luoto, Miska |
author_facet | Aalto, Juha Harrison, Stephan Luoto, Miska |
author_sort | Aalto, Juha |
collection | PubMed |
description | The periglacial realm is a major part of the cryosphere, covering a quarter of Earth’s land surface. Cryogenic land surface processes (LSPs) control landscape development, ecosystem functioning and climate through biogeochemical feedbacks, but their response to contemporary climate change is unclear. Here, by statistically modelling the current and future distributions of four major LSPs unique to periglacial regions at fine scale, we show fundamental changes in the periglacial climate realm are inevitable with future climate change. Even with the most optimistic CO(2) emissions scenario (Representative Concentration Pathway (RCP) 2.6) we predict a 72% reduction in the current periglacial climate realm by 2050 in our climatically sensitive northern Europe study area. These impacts are projected to be especially severe in high-latitude continental interiors. We further predict that by the end of the twenty-first century active periglacial LSPs will exist only at high elevations. These results forecast a future tipping point in the operation of cold-region LSP, and predict fundamental landscape-level modifications in ground conditions and related atmospheric feedbacks. |
format | Online Article Text |
id | pubmed-5593823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55938232017-09-13 Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 Aalto, Juha Harrison, Stephan Luoto, Miska Nat Commun Article The periglacial realm is a major part of the cryosphere, covering a quarter of Earth’s land surface. Cryogenic land surface processes (LSPs) control landscape development, ecosystem functioning and climate through biogeochemical feedbacks, but their response to contemporary climate change is unclear. Here, by statistically modelling the current and future distributions of four major LSPs unique to periglacial regions at fine scale, we show fundamental changes in the periglacial climate realm are inevitable with future climate change. Even with the most optimistic CO(2) emissions scenario (Representative Concentration Pathway (RCP) 2.6) we predict a 72% reduction in the current periglacial climate realm by 2050 in our climatically sensitive northern Europe study area. These impacts are projected to be especially severe in high-latitude continental interiors. We further predict that by the end of the twenty-first century active periglacial LSPs will exist only at high elevations. These results forecast a future tipping point in the operation of cold-region LSP, and predict fundamental landscape-level modifications in ground conditions and related atmospheric feedbacks. Nature Publishing Group UK 2017-09-11 /pmc/articles/PMC5593823/ /pubmed/28894099 http://dx.doi.org/10.1038/s41467-017-00669-3 Text en © The Author(s) 2017 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 Aalto, Juha Harrison, Stephan Luoto, Miska Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title | Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title_full | Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title_fullStr | Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title_full_unstemmed | Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title_short | Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100 |
title_sort | statistical modelling predicts almost complete loss of major periglacial processes in northern europe by 2100 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593823/ https://www.ncbi.nlm.nih.gov/pubmed/28894099 http://dx.doi.org/10.1038/s41467-017-00669-3 |
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