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Processes driving nocturnal transpiration and implications for estimating land evapotranspiration
Evapotranspiration is a major component of the water cycle, yet only daytime transpiration is currently considered in Earth system and agricultural sciences. This contrasts with physiological studies where 25% or more of water losses have been reported to occur occurring overnight at leaf and plant...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466595/ https://www.ncbi.nlm.nih.gov/pubmed/26074373 http://dx.doi.org/10.1038/srep10975 |
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author | de Dios, Víctor Resco Roy, Jacques Ferrio, Juan Pedro Alday, Josu G. Landais, Damien Milcu, Alexandru Gessler, Arthur |
author_facet | de Dios, Víctor Resco Roy, Jacques Ferrio, Juan Pedro Alday, Josu G. Landais, Damien Milcu, Alexandru Gessler, Arthur |
author_sort | de Dios, Víctor Resco |
collection | PubMed |
description | Evapotranspiration is a major component of the water cycle, yet only daytime transpiration is currently considered in Earth system and agricultural sciences. This contrasts with physiological studies where 25% or more of water losses have been reported to occur occurring overnight at leaf and plant scales. This gap probably arose from limitations in techniques to measure nocturnal water fluxes at ecosystem scales, a gap we bridge here by using lysimeters under controlled environmental conditions. The magnitude of the nocturnal water losses (12–23% of daytime water losses) in row-crop monocultures of bean (annual herb) and cotton (woody shrub) would be globally an order of magnitude higher than documented responses of global evapotranspiration to climate change (51–98 vs. 7–8 mm yr(−1)). Contrary to daytime responses and to conventional wisdom, nocturnal transpiration was not affected by previous radiation loads or carbon uptake, and showed a temporal pattern independent of vapour pressure deficit or temperature, because of endogenous controls on stomatal conductance via circadian regulation. Our results have important implications from large-scale ecosystem modelling to crop production: homeostatic water losses justify simple empirical predictive functions, and circadian controls show a fine-tune control that minimizes water loss while potentially increasing posterior carbon uptake. |
format | Online Article Text |
id | pubmed-4466595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44665952015-06-18 Processes driving nocturnal transpiration and implications for estimating land evapotranspiration de Dios, Víctor Resco Roy, Jacques Ferrio, Juan Pedro Alday, Josu G. Landais, Damien Milcu, Alexandru Gessler, Arthur Sci Rep Article Evapotranspiration is a major component of the water cycle, yet only daytime transpiration is currently considered in Earth system and agricultural sciences. This contrasts with physiological studies where 25% or more of water losses have been reported to occur occurring overnight at leaf and plant scales. This gap probably arose from limitations in techniques to measure nocturnal water fluxes at ecosystem scales, a gap we bridge here by using lysimeters under controlled environmental conditions. The magnitude of the nocturnal water losses (12–23% of daytime water losses) in row-crop monocultures of bean (annual herb) and cotton (woody shrub) would be globally an order of magnitude higher than documented responses of global evapotranspiration to climate change (51–98 vs. 7–8 mm yr(−1)). Contrary to daytime responses and to conventional wisdom, nocturnal transpiration was not affected by previous radiation loads or carbon uptake, and showed a temporal pattern independent of vapour pressure deficit or temperature, because of endogenous controls on stomatal conductance via circadian regulation. Our results have important implications from large-scale ecosystem modelling to crop production: homeostatic water losses justify simple empirical predictive functions, and circadian controls show a fine-tune control that minimizes water loss while potentially increasing posterior carbon uptake. Nature Publishing Group 2015-06-15 /pmc/articles/PMC4466595/ /pubmed/26074373 http://dx.doi.org/10.1038/srep10975 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article de Dios, Víctor Resco Roy, Jacques Ferrio, Juan Pedro Alday, Josu G. Landais, Damien Milcu, Alexandru Gessler, Arthur Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title | Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title_full | Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title_fullStr | Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title_full_unstemmed | Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title_short | Processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
title_sort | processes driving nocturnal transpiration and implications for estimating land evapotranspiration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466595/ https://www.ncbi.nlm.nih.gov/pubmed/26074373 http://dx.doi.org/10.1038/srep10975 |
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