Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches

Autores
Rosner, Sabine; Heinzeb, Berthold; Savia, Tadeja; Dalla Salda, Guillermina
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
More frequently occurring, drought waves call for a deeper understanding of tree hydraulics and fast and easily applicable methods to measure drought stress. The aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P50, i.e. the water potential (Ψ) that causes 50% conductivity loss. Branches and saplings of temperate conifer (Picea abies, Larix decidua) and angiosperm species (Acer campestre, Fagus sylvatica, Populus x canescens, Populus tremula, Sorbus torminalis) and trunk wood of mature P. abies trees were analyzed. P50 was calculated from hydraulic measurements following bench top dehydration or air injection. RWL and PLC were fitted by linear, quadratic or cubic equations. Speciesor age-specific RWLs at P50 varied between 10 and 25% and P88, the Ψ that causes 88% conductivity loss, between 18 and 44%. P50 was predicted from the relationship between Ψ and the RWL. The predictive quality for P50 across species was almost 1:1 (r2 =0.99). The approach presented allows thus reliable and fast prediction of PLC from RWL. Branches and saplings with high hydraulic vulnerability tended to have lower RWLs at P50 and at P88. The results are discussed with regard to the different water storage capacities in sapwood and survival strategies under drought stress. Potential applications are screening trees for drought sensitivity and a fast interpretation of diurnal, seasonal or drought induced changes in xylem water content upon their impact on conductivity loss.
Estación Experimental Agropecuaria Bariloche
Fil: Rosner, Sabine. University of Natural Resources and Life Sciences. Institute of Botany; Austria
Fil: Heinzeb, Berthold. Austrian Research Centre for Forest. Department of Forest Genetics; Austria
Fil: Savia, Tadeja. University of Natural Resources and Life Sciences; Austria
Fil: Dalla Salda, Guillermina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área Sistemas Forestales. Grupo de Ecología Forestal; Argentina
Fuente
Physiologia Plantarum 165 : 843–854. (2019)
Materia
Conductividad Hidráulica
Ecología Forestal
Árboles
Hydraulic Conductivity
Forest Ecology
Trees
Evaporation
Evaporación
Pérdida de Conductividad Hidráulica
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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oai_identifier_str oai:localhost:20.500.12123/5486
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spelling Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branchesRosner, SabineHeinzeb, BertholdSavia, TadejaDalla Salda, GuillerminaConductividad HidráulicaEcología ForestalÁrbolesHydraulic ConductivityForest EcologyTreesEvaporationEvaporaciónPérdida de Conductividad HidráulicaMore frequently occurring, drought waves call for a deeper understanding of tree hydraulics and fast and easily applicable methods to measure drought stress. The aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P50, i.e. the water potential (Ψ) that causes 50% conductivity loss. Branches and saplings of temperate conifer (Picea abies, Larix decidua) and angiosperm species (Acer campestre, Fagus sylvatica, Populus x canescens, Populus tremula, Sorbus torminalis) and trunk wood of mature P. abies trees were analyzed. P50 was calculated from hydraulic measurements following bench top dehydration or air injection. RWL and PLC were fitted by linear, quadratic or cubic equations. Speciesor age-specific RWLs at P50 varied between 10 and 25% and P88, the Ψ that causes 88% conductivity loss, between 18 and 44%. P50 was predicted from the relationship between Ψ and the RWL. The predictive quality for P50 across species was almost 1:1 (r2 =0.99). The approach presented allows thus reliable and fast prediction of PLC from RWL. Branches and saplings with high hydraulic vulnerability tended to have lower RWLs at P50 and at P88. The results are discussed with regard to the different water storage capacities in sapwood and survival strategies under drought stress. Potential applications are screening trees for drought sensitivity and a fast interpretation of diurnal, seasonal or drought induced changes in xylem water content upon their impact on conductivity loss.Estación Experimental Agropecuaria BarilocheFil: Rosner, Sabine. University of Natural Resources and Life Sciences. Institute of Botany; AustriaFil: Heinzeb, Berthold. Austrian Research Centre for Forest. Department of Forest Genetics; AustriaFil: Savia, Tadeja. University of Natural Resources and Life Sciences; AustriaFil: Dalla Salda, Guillermina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área Sistemas Forestales. Grupo de Ecología Forestal; ArgentinaWiley2019-07-12T11:37:15Z2019-07-12T11:37:15Z2019-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/5486https://onlinelibrary.wiley.com/doi/full/10.1111/ppl.127901399-30540031-9317https://doi.org/10.1111/ppl.12790Physiologia Plantarum 165 : 843–854. (2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:29:35Zoai:localhost:20.500.12123/5486instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:29:35.334INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
title Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
spellingShingle Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
Rosner, Sabine
Conductividad Hidráulica
Ecología Forestal
Árboles
Hydraulic Conductivity
Forest Ecology
Trees
Evaporation
Evaporación
Pérdida de Conductividad Hidráulica
title_short Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
title_full Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
title_fullStr Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
title_full_unstemmed Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
title_sort Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
dc.creator.none.fl_str_mv Rosner, Sabine
Heinzeb, Berthold
Savia, Tadeja
Dalla Salda, Guillermina
author Rosner, Sabine
author_facet Rosner, Sabine
Heinzeb, Berthold
Savia, Tadeja
Dalla Salda, Guillermina
author_role author
author2 Heinzeb, Berthold
Savia, Tadeja
Dalla Salda, Guillermina
author2_role author
author
author
dc.subject.none.fl_str_mv Conductividad Hidráulica
Ecología Forestal
Árboles
Hydraulic Conductivity
Forest Ecology
Trees
Evaporation
Evaporación
Pérdida de Conductividad Hidráulica
topic Conductividad Hidráulica
Ecología Forestal
Árboles
Hydraulic Conductivity
Forest Ecology
Trees
Evaporation
Evaporación
Pérdida de Conductividad Hidráulica
dc.description.none.fl_txt_mv More frequently occurring, drought waves call for a deeper understanding of tree hydraulics and fast and easily applicable methods to measure drought stress. The aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P50, i.e. the water potential (Ψ) that causes 50% conductivity loss. Branches and saplings of temperate conifer (Picea abies, Larix decidua) and angiosperm species (Acer campestre, Fagus sylvatica, Populus x canescens, Populus tremula, Sorbus torminalis) and trunk wood of mature P. abies trees were analyzed. P50 was calculated from hydraulic measurements following bench top dehydration or air injection. RWL and PLC were fitted by linear, quadratic or cubic equations. Speciesor age-specific RWLs at P50 varied between 10 and 25% and P88, the Ψ that causes 88% conductivity loss, between 18 and 44%. P50 was predicted from the relationship between Ψ and the RWL. The predictive quality for P50 across species was almost 1:1 (r2 =0.99). The approach presented allows thus reliable and fast prediction of PLC from RWL. Branches and saplings with high hydraulic vulnerability tended to have lower RWLs at P50 and at P88. The results are discussed with regard to the different water storage capacities in sapwood and survival strategies under drought stress. Potential applications are screening trees for drought sensitivity and a fast interpretation of diurnal, seasonal or drought induced changes in xylem water content upon their impact on conductivity loss.
Estación Experimental Agropecuaria Bariloche
Fil: Rosner, Sabine. University of Natural Resources and Life Sciences. Institute of Botany; Austria
Fil: Heinzeb, Berthold. Austrian Research Centre for Forest. Department of Forest Genetics; Austria
Fil: Savia, Tadeja. University of Natural Resources and Life Sciences; Austria
Fil: Dalla Salda, Guillermina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área Sistemas Forestales. Grupo de Ecología Forestal; Argentina
description More frequently occurring, drought waves call for a deeper understanding of tree hydraulics and fast and easily applicable methods to measure drought stress. The aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P50, i.e. the water potential (Ψ) that causes 50% conductivity loss. Branches and saplings of temperate conifer (Picea abies, Larix decidua) and angiosperm species (Acer campestre, Fagus sylvatica, Populus x canescens, Populus tremula, Sorbus torminalis) and trunk wood of mature P. abies trees were analyzed. P50 was calculated from hydraulic measurements following bench top dehydration or air injection. RWL and PLC were fitted by linear, quadratic or cubic equations. Speciesor age-specific RWLs at P50 varied between 10 and 25% and P88, the Ψ that causes 88% conductivity loss, between 18 and 44%. P50 was predicted from the relationship between Ψ and the RWL. The predictive quality for P50 across species was almost 1:1 (r2 =0.99). The approach presented allows thus reliable and fast prediction of PLC from RWL. Branches and saplings with high hydraulic vulnerability tended to have lower RWLs at P50 and at P88. The results are discussed with regard to the different water storage capacities in sapwood and survival strategies under drought stress. Potential applications are screening trees for drought sensitivity and a fast interpretation of diurnal, seasonal or drought induced changes in xylem water content upon their impact on conductivity loss.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-12T11:37:15Z
2019-07-12T11:37:15Z
2019-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/5486
https://onlinelibrary.wiley.com/doi/full/10.1111/ppl.12790
1399-3054
0031-9317
https://doi.org/10.1111/ppl.12790
url http://hdl.handle.net/20.500.12123/5486
https://onlinelibrary.wiley.com/doi/full/10.1111/ppl.12790
https://doi.org/10.1111/ppl.12790
identifier_str_mv 1399-3054
0031-9317
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Physiologia Plantarum 165 : 843–854. (2019)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.712165

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