Latent heat exchange in the boreal and arctic biomes
Abstract In this study latent heat flux ( λE ) measurements made at 65 boreal and arctic eddy‐covariance ( EC ) sites were analyses by using the Penman–Monteith equation. Sites were stratified into nine different ecosystem types: harvested and burnt forest areas, pine forests, spruce or fir forests,...
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Online Access: | http://dx.doi.org/10.1111/gcb.12640 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fgcb.12640 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.12640 |
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crwiley:10.1111/gcb.12640 2024-06-23T07:50:16+00:00 Latent heat exchange in the boreal and arctic biomes Kasurinen, Ville Alfredsen, Knut Kolari, Pasi Mammarella, Ivan Alekseychik, Pavel Rinne, Janne Vesala, Timo Bernier, Pierre Boike, Julia Langer, Moritz Belelli Marchesini, Luca van Huissteden, Ko Dolman, Han Sachs, Torsten Ohta, Takeshi Varlagin, Andrej Rocha, Adrian Arain, Altaf Oechel, Walter Lund, Magnus Grelle, Achim Lindroth, Anders Black, Andy Aurela, Mika Laurila, Tuomas Lohila, Annalea Berninger, Frank Nordic Center of Excellence CRAICC Fluxnet-Canada AmeriFlux US National Science Foundation the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS) Natural Sciences and Engineering Research Council (NSERC) of Canada CFCAS BIOCAP Canada TCOS-Siberia 2014 http://dx.doi.org/10.1111/gcb.12640 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fgcb.12640 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.12640 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Global Change Biology volume 20, issue 11, page 3439-3456 ISSN 1354-1013 1365-2486 journal-article 2014 crwiley https://doi.org/10.1111/gcb.12640 2024-05-31T08:14:41Z Abstract In this study latent heat flux ( λE ) measurements made at 65 boreal and arctic eddy‐covariance ( EC ) sites were analyses by using the Penman–Monteith equation. Sites were stratified into nine different ecosystem types: harvested and burnt forest areas, pine forests, spruce or fir forests, Douglas‐fir forests, broadleaf deciduous forests, larch forests, wetlands, tundra and natural grasslands. The Penman–Monteith equation was calibrated with variable surface resistances against half‐hourly eddy‐covariance data and clear differences between ecosystem types were observed. Based on the modeled behavior of surface and aerodynamic resistances, surface resistance tightly control λE in most mature forests, while it had less importance in ecosystems having shorter vegetation like young or recently harvested forests, grasslands, wetlands and tundra. The parameters of the Penman–Monteith equation were clearly different for winter and summer conditions, indicating that phenological effects on surface resistance are important. We also compared the simulated λE of different ecosystem types under meteorological conditions at one site. Values of λE varied between 15% and 38% of the net radiation in the simulations with mean ecosystem parameters. In general, the simulations suggest that λE is higher from forested ecosystems than from grasslands, wetlands or tundra‐type ecosystems. Forests showed usually a tighter stomatal control of λE as indicated by a pronounced sensitivity of surface resistance to atmospheric vapor pressure deficit. Nevertheless, the surface resistance of forests was lower than for open vegetation types including wetlands. Tundra and wetlands had higher surface resistances, which were less sensitive to vapor pressure deficits. The results indicate that the variation in surface resistance within and between different vegetation types might play a significant role in energy exchange between terrestrial ecosystems and atmosphere. These results suggest the need to take into account vegetation type and ... Article in Journal/Newspaper Arctic Tundra Wiley Online Library Arctic Global Change Biology 20 11 3439 3456 |
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Open Polar |
collection |
Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract In this study latent heat flux ( λE ) measurements made at 65 boreal and arctic eddy‐covariance ( EC ) sites were analyses by using the Penman–Monteith equation. Sites were stratified into nine different ecosystem types: harvested and burnt forest areas, pine forests, spruce or fir forests, Douglas‐fir forests, broadleaf deciduous forests, larch forests, wetlands, tundra and natural grasslands. The Penman–Monteith equation was calibrated with variable surface resistances against half‐hourly eddy‐covariance data and clear differences between ecosystem types were observed. Based on the modeled behavior of surface and aerodynamic resistances, surface resistance tightly control λE in most mature forests, while it had less importance in ecosystems having shorter vegetation like young or recently harvested forests, grasslands, wetlands and tundra. The parameters of the Penman–Monteith equation were clearly different for winter and summer conditions, indicating that phenological effects on surface resistance are important. We also compared the simulated λE of different ecosystem types under meteorological conditions at one site. Values of λE varied between 15% and 38% of the net radiation in the simulations with mean ecosystem parameters. In general, the simulations suggest that λE is higher from forested ecosystems than from grasslands, wetlands or tundra‐type ecosystems. Forests showed usually a tighter stomatal control of λE as indicated by a pronounced sensitivity of surface resistance to atmospheric vapor pressure deficit. Nevertheless, the surface resistance of forests was lower than for open vegetation types including wetlands. Tundra and wetlands had higher surface resistances, which were less sensitive to vapor pressure deficits. The results indicate that the variation in surface resistance within and between different vegetation types might play a significant role in energy exchange between terrestrial ecosystems and atmosphere. These results suggest the need to take into account vegetation type and ... |
author2 |
Nordic Center of Excellence CRAICC Fluxnet-Canada AmeriFlux US National Science Foundation the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS) Natural Sciences and Engineering Research Council (NSERC) of Canada CFCAS BIOCAP Canada TCOS-Siberia |
format |
Article in Journal/Newspaper |
author |
Kasurinen, Ville Alfredsen, Knut Kolari, Pasi Mammarella, Ivan Alekseychik, Pavel Rinne, Janne Vesala, Timo Bernier, Pierre Boike, Julia Langer, Moritz Belelli Marchesini, Luca van Huissteden, Ko Dolman, Han Sachs, Torsten Ohta, Takeshi Varlagin, Andrej Rocha, Adrian Arain, Altaf Oechel, Walter Lund, Magnus Grelle, Achim Lindroth, Anders Black, Andy Aurela, Mika Laurila, Tuomas Lohila, Annalea Berninger, Frank |
spellingShingle |
Kasurinen, Ville Alfredsen, Knut Kolari, Pasi Mammarella, Ivan Alekseychik, Pavel Rinne, Janne Vesala, Timo Bernier, Pierre Boike, Julia Langer, Moritz Belelli Marchesini, Luca van Huissteden, Ko Dolman, Han Sachs, Torsten Ohta, Takeshi Varlagin, Andrej Rocha, Adrian Arain, Altaf Oechel, Walter Lund, Magnus Grelle, Achim Lindroth, Anders Black, Andy Aurela, Mika Laurila, Tuomas Lohila, Annalea Berninger, Frank Latent heat exchange in the boreal and arctic biomes |
author_facet |
Kasurinen, Ville Alfredsen, Knut Kolari, Pasi Mammarella, Ivan Alekseychik, Pavel Rinne, Janne Vesala, Timo Bernier, Pierre Boike, Julia Langer, Moritz Belelli Marchesini, Luca van Huissteden, Ko Dolman, Han Sachs, Torsten Ohta, Takeshi Varlagin, Andrej Rocha, Adrian Arain, Altaf Oechel, Walter Lund, Magnus Grelle, Achim Lindroth, Anders Black, Andy Aurela, Mika Laurila, Tuomas Lohila, Annalea Berninger, Frank |
author_sort |
Kasurinen, Ville |
title |
Latent heat exchange in the boreal and arctic biomes |
title_short |
Latent heat exchange in the boreal and arctic biomes |
title_full |
Latent heat exchange in the boreal and arctic biomes |
title_fullStr |
Latent heat exchange in the boreal and arctic biomes |
title_full_unstemmed |
Latent heat exchange in the boreal and arctic biomes |
title_sort |
latent heat exchange in the boreal and arctic biomes |
publisher |
Wiley |
publishDate |
2014 |
url |
http://dx.doi.org/10.1111/gcb.12640 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fgcb.12640 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.12640 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Global Change Biology volume 20, issue 11, page 3439-3456 ISSN 1354-1013 1365-2486 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/gcb.12640 |
container_title |
Global Change Biology |
container_volume |
20 |
container_issue |
11 |
container_start_page |
3439 |
op_container_end_page |
3456 |
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1802641142957735936 |