Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
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...
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Wiley
2019
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| Online Access: | 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 |
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| author | Rosner, Sabine Heinzeb, Berthold Savia, Tadeja Dalla Salda, Guillermina |
| author_browse | Dalla Salda, Guillermina Heinzeb, Berthold Rosner, Sabine Savia, Tadeja |
| author_facet | Rosner, Sabine Heinzeb, Berthold Savia, Tadeja Dalla Salda, Guillermina |
| author_sort | Rosner, Sabine |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA5486 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA54862019-07-12T11:42:31Z Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches Rosner, Sabine Heinzeb, Berthold Savia, Tadeja Dalla Salda, Guillermina Conductividad Hidráulica Ecología Forestal Árboles Hydraulic Conductivity Forest Ecology Trees Evaporation Evaporación Pérdida de Conductividad Hidráulica 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 2019-07-12T11:37:15Z 2019-07-12T11:37:15Z 2019-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Wiley Physiologia Plantarum 165 : 843–854. (2019) |
| spellingShingle | Conductividad Hidráulica Ecología Forestal Árboles Hydraulic Conductivity Forest Ecology Trees Evaporation Evaporación Pérdida de Conductividad Hidráulica Rosner, Sabine Heinzeb, Berthold Savia, Tadeja Dalla Salda, Guillermina 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 |
| 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_short | 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 |
| topic | Conductividad Hidráulica Ecología Forestal Árboles Hydraulic Conductivity Forest Ecology Trees Evaporation Evaporación Pérdida de Conductividad Hidráulica |
| 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 |
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