Vegetation type is an important predictor of the arctic summer land surface energy budget
Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our v...
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Online Access: | https://lup.lub.lu.se/record/647170bb-7589-4d87-8931-28d70acdf02a https://doi.org/10.1038/s41467-022-34049-3 |
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ftulundlup:oai:lup.lub.lu.se:647170bb-7589-4d87-8931-28d70acdf02a 2023-05-15T14:36:26+02:00 Vegetation type is an important predictor of the arctic summer land surface energy budget Oehri, J. Parmentier, F.-J.W. Jackowicz-Korczynski, M. Chambers, S.D. 2022 https://lup.lub.lu.se/record/647170bb-7589-4d87-8931-28d70acdf02a https://doi.org/10.1038/s41467-022-34049-3 eng eng Nature Publishing Group https://lup.lub.lu.se/record/647170bb-7589-4d87-8931-28d70acdf02a http://dx.doi.org/10.1038/s41467-022-34049-3 scopus:85140941186 pmid:36316310 Nature Communications; 13(1), no 6379 (2022) ISSN: 2041-1723 Physical Geography energy budget land surface latent heat flux summer vegetation dynamics Arctic article budget climate glacier heat human land use latitude permafrost seasonal variation snow cover vegetation climate change ecosystem season Arctic Regions Seasons contributiontojournal/article info:eu-repo/semantics/article text 2022 ftulundlup https://doi.org/10.1038/s41467-022-34049-3 2023-02-01T23:39:37Z Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types. © 2022, The Author(s). Article in Journal/Newspaper Arctic Climate change permafrost Lund University Publications (LUP) Arctic Nature Communications 13 1 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Physical Geography energy budget land surface latent heat flux summer vegetation dynamics Arctic article budget climate glacier heat human land use latitude permafrost seasonal variation snow cover vegetation climate change ecosystem season Arctic Regions Seasons |
spellingShingle |
Physical Geography energy budget land surface latent heat flux summer vegetation dynamics Arctic article budget climate glacier heat human land use latitude permafrost seasonal variation snow cover vegetation climate change ecosystem season Arctic Regions Seasons Oehri, J. Parmentier, F.-J.W. Jackowicz-Korczynski, M. Chambers, S.D. Vegetation type is an important predictor of the arctic summer land surface energy budget |
topic_facet |
Physical Geography energy budget land surface latent heat flux summer vegetation dynamics Arctic article budget climate glacier heat human land use latitude permafrost seasonal variation snow cover vegetation climate change ecosystem season Arctic Regions Seasons |
description |
Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types. © 2022, The Author(s). |
format |
Article in Journal/Newspaper |
author |
Oehri, J. Parmentier, F.-J.W. Jackowicz-Korczynski, M. Chambers, S.D. |
author_facet |
Oehri, J. Parmentier, F.-J.W. Jackowicz-Korczynski, M. Chambers, S.D. |
author_sort |
Oehri, J. |
title |
Vegetation type is an important predictor of the arctic summer land surface energy budget |
title_short |
Vegetation type is an important predictor of the arctic summer land surface energy budget |
title_full |
Vegetation type is an important predictor of the arctic summer land surface energy budget |
title_fullStr |
Vegetation type is an important predictor of the arctic summer land surface energy budget |
title_full_unstemmed |
Vegetation type is an important predictor of the arctic summer land surface energy budget |
title_sort |
vegetation type is an important predictor of the arctic summer land surface energy budget |
publisher |
Nature Publishing Group |
publishDate |
2022 |
url |
https://lup.lub.lu.se/record/647170bb-7589-4d87-8931-28d70acdf02a https://doi.org/10.1038/s41467-022-34049-3 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change permafrost |
genre_facet |
Arctic Climate change permafrost |
op_source |
Nature Communications; 13(1), no 6379 (2022) ISSN: 2041-1723 |
op_relation |
https://lup.lub.lu.se/record/647170bb-7589-4d87-8931-28d70acdf02a http://dx.doi.org/10.1038/s41467-022-34049-3 scopus:85140941186 pmid:36316310 |
op_doi |
https://doi.org/10.1038/s41467-022-34049-3 |
container_title |
Nature Communications |
container_volume |
13 |
container_issue |
1 |
_version_ |
1766309047763468288 |