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Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation

BACKGROUND: The accurate estimation of leaf hydraulic conductance (K(leaf)) is important for revealing leaf physiological characteristics and function. However, the K(leaf) values are largely incomparable in previous studies for a given species indicating some uncertain influencing factors in K(leaf...

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Autores principales: Wang, Xiaoxiao, Zhao, Jinfang, Huang, Jianliang, Peng, Shaobing, Xiong, Dongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097237/
https://www.ncbi.nlm.nih.gov/pubmed/35549958
http://dx.doi.org/10.1186/s13007-022-00888-w
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author Wang, Xiaoxiao
Zhao, Jinfang
Huang, Jianliang
Peng, Shaobing
Xiong, Dongliang
author_facet Wang, Xiaoxiao
Zhao, Jinfang
Huang, Jianliang
Peng, Shaobing
Xiong, Dongliang
author_sort Wang, Xiaoxiao
collection PubMed
description BACKGROUND: The accurate estimation of leaf hydraulic conductance (K(leaf)) is important for revealing leaf physiological characteristics and function. However, the K(leaf) values are largely incomparable in previous studies for a given species indicating some uncertain influencing factors in K(leaf) measurement. RESULT: We investigated the potential impacts of plant sampling method, measurement setup, environmental factors, and transpiration steady state identification on K(leaf) estimation in Oryza sativa and Cinnamomum camphora using evaporation flux method (EFM). The effects of sampling and rehydration time, the small gravity pressure gradients between water sources and leaves, and water degassing on K(leaf) estimation were negligible. As expected, the estimated steady flow rate (E) was significantly affected by multiple environmental factors including airflow around leaf, photosynthetically active radiation (PARa) on leaf surfaces and air temperature. K(leaf) decreased by 40% when PARa declined from 1000 to 500 µmol m(−2) s(−1) and decreased by 15.1% when air temperature increased from 27 to 37 °C. In addition, accurate steady-state flow rate identification and leaf water potential measurement were important for K(leaf) estimation. CONCLUSIONS: Based on the analysis of influencing factors, we provided a format for reporting the metadata of EFM-based K(leaf) to achieve greater comparability among studies and interpretation of differences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-022-00888-w.
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spelling pubmed-90972372022-05-13 Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation Wang, Xiaoxiao Zhao, Jinfang Huang, Jianliang Peng, Shaobing Xiong, Dongliang Plant Methods Research BACKGROUND: The accurate estimation of leaf hydraulic conductance (K(leaf)) is important for revealing leaf physiological characteristics and function. However, the K(leaf) values are largely incomparable in previous studies for a given species indicating some uncertain influencing factors in K(leaf) measurement. RESULT: We investigated the potential impacts of plant sampling method, measurement setup, environmental factors, and transpiration steady state identification on K(leaf) estimation in Oryza sativa and Cinnamomum camphora using evaporation flux method (EFM). The effects of sampling and rehydration time, the small gravity pressure gradients between water sources and leaves, and water degassing on K(leaf) estimation were negligible. As expected, the estimated steady flow rate (E) was significantly affected by multiple environmental factors including airflow around leaf, photosynthetically active radiation (PARa) on leaf surfaces and air temperature. K(leaf) decreased by 40% when PARa declined from 1000 to 500 µmol m(−2) s(−1) and decreased by 15.1% when air temperature increased from 27 to 37 °C. In addition, accurate steady-state flow rate identification and leaf water potential measurement were important for K(leaf) estimation. CONCLUSIONS: Based on the analysis of influencing factors, we provided a format for reporting the metadata of EFM-based K(leaf) to achieve greater comparability among studies and interpretation of differences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-022-00888-w. BioMed Central 2022-05-12 /pmc/articles/PMC9097237/ /pubmed/35549958 http://dx.doi.org/10.1186/s13007-022-00888-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Xiaoxiao
Zhao, Jinfang
Huang, Jianliang
Peng, Shaobing
Xiong, Dongliang
Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title_full Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title_fullStr Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title_full_unstemmed Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title_short Evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
title_sort evaporative flux method of leaf hydraulic conductance estimation: sources of uncertainty and reporting format recommendation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097237/
https://www.ncbi.nlm.nih.gov/pubmed/35549958
http://dx.doi.org/10.1186/s13007-022-00888-w
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