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A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction

Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be i...

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Detalles Bibliográficos
Autores principales: Petruzzellis, Francesco, Tomasella, Martina, Miotto, Andrea, Natale, Sara, Trifilò, Patrizia, Nardini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076359/
https://www.ncbi.nlm.nih.gov/pubmed/32054113
http://dx.doi.org/10.3390/plants9020234
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author Petruzzellis, Francesco
Tomasella, Martina
Miotto, Andrea
Natale, Sara
Trifilò, Patrizia
Nardini, Andrea
author_facet Petruzzellis, Francesco
Tomasella, Martina
Miotto, Andrea
Natale, Sara
Trifilò, Patrizia
Nardini, Andrea
author_sort Petruzzellis, Francesco
collection PubMed
description Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be included in these modeling efforts. Here, we propose a simple set-up to measure leaf vulnerability to embolism on the basis of the optical method using a smartphone, a light source, and a notebook. Our data show that this proposed set-up can adequately quantify the vulnerability to xylem embolism of leaf major veins in Populus nigra and Ostrya carpinifolia, producing values consistent with those obtained in temperate tree species with other methods, allowing virtually any laboratory to quantify species-specific drought tolerance on the basis of a sound mechanistic trait.
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spelling pubmed-70763592020-03-24 A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction Petruzzellis, Francesco Tomasella, Martina Miotto, Andrea Natale, Sara Trifilò, Patrizia Nardini, Andrea Plants (Basel) Communication Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be included in these modeling efforts. Here, we propose a simple set-up to measure leaf vulnerability to embolism on the basis of the optical method using a smartphone, a light source, and a notebook. Our data show that this proposed set-up can adequately quantify the vulnerability to xylem embolism of leaf major veins in Populus nigra and Ostrya carpinifolia, producing values consistent with those obtained in temperate tree species with other methods, allowing virtually any laboratory to quantify species-specific drought tolerance on the basis of a sound mechanistic trait. MDPI 2020-02-11 /pmc/articles/PMC7076359/ /pubmed/32054113 http://dx.doi.org/10.3390/plants9020234 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Petruzzellis, Francesco
Tomasella, Martina
Miotto, Andrea
Natale, Sara
Trifilò, Patrizia
Nardini, Andrea
A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title_full A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title_fullStr A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title_full_unstemmed A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title_short A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
title_sort leaf selfie: using a smartphone to quantify leaf vulnerability to hydraulic dysfunction
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076359/
https://www.ncbi.nlm.nih.gov/pubmed/32054113
http://dx.doi.org/10.3390/plants9020234
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