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Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling
Drought-related tree mortality has become a major concern worldwide due to its pronounced negative impacts on the functioning and sustainability of forest ecosystems. However, our ability to identify the species that are most vulnerable to drought, and to pinpoint the spatial and temporal patterns o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015645/ https://www.ncbi.nlm.nih.gov/pubmed/35444681 http://dx.doi.org/10.3389/fpls.2022.835921 |
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author | Li, Ximeng Xi, Benye Wu, Xiuchen Choat, Brendan Feng, Jinchao Jiang, Mingkai Tissue, David |
author_facet | Li, Ximeng Xi, Benye Wu, Xiuchen Choat, Brendan Feng, Jinchao Jiang, Mingkai Tissue, David |
author_sort | Li, Ximeng |
collection | PubMed |
description | Drought-related tree mortality has become a major concern worldwide due to its pronounced negative impacts on the functioning and sustainability of forest ecosystems. However, our ability to identify the species that are most vulnerable to drought, and to pinpoint the spatial and temporal patterns of mortality events, is still limited. Model is useful tools to capture the dynamics of vegetation at spatiotemporal scales, yet contemporary land surface models (LSMs) are often incapable of predicting the response of vegetation to environmental perturbations with sufficient accuracy, especially under stressful conditions such as drought. Significant progress has been made regarding the physiological mechanisms underpinning plant drought response in the past decade, and plant hydraulic dysfunction has emerged as a key determinant for tree death due to water shortage. The identification of pivotal physiological events and relevant plant traits may facilitate forecasting tree mortality through a mechanistic approach, with improved precision. In this review, we (1) summarize current understanding of physiological mechanisms leading to tree death, (2) describe the functionality of key hydraulic traits that are involved in the process of hydraulic dysfunction, and (3) outline their roles in improving the representation of hydraulic function in LSMs. We urge potential future research on detailed hydraulic processes under drought, pinpointing corresponding functional traits, as well as understanding traits variation across and within species, for a better representation of drought-induced tree mortality in models. |
format | Online Article Text |
id | pubmed-9015645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90156452022-04-19 Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling Li, Ximeng Xi, Benye Wu, Xiuchen Choat, Brendan Feng, Jinchao Jiang, Mingkai Tissue, David Front Plant Sci Plant Science Drought-related tree mortality has become a major concern worldwide due to its pronounced negative impacts on the functioning and sustainability of forest ecosystems. However, our ability to identify the species that are most vulnerable to drought, and to pinpoint the spatial and temporal patterns of mortality events, is still limited. Model is useful tools to capture the dynamics of vegetation at spatiotemporal scales, yet contemporary land surface models (LSMs) are often incapable of predicting the response of vegetation to environmental perturbations with sufficient accuracy, especially under stressful conditions such as drought. Significant progress has been made regarding the physiological mechanisms underpinning plant drought response in the past decade, and plant hydraulic dysfunction has emerged as a key determinant for tree death due to water shortage. The identification of pivotal physiological events and relevant plant traits may facilitate forecasting tree mortality through a mechanistic approach, with improved precision. In this review, we (1) summarize current understanding of physiological mechanisms leading to tree death, (2) describe the functionality of key hydraulic traits that are involved in the process of hydraulic dysfunction, and (3) outline their roles in improving the representation of hydraulic function in LSMs. We urge potential future research on detailed hydraulic processes under drought, pinpointing corresponding functional traits, as well as understanding traits variation across and within species, for a better representation of drought-induced tree mortality in models. Frontiers Media S.A. 2022-04-04 /pmc/articles/PMC9015645/ /pubmed/35444681 http://dx.doi.org/10.3389/fpls.2022.835921 Text en Copyright © 2022 Li, Xi, Wu, Choat, Feng, Jiang and Tissue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Li, Ximeng Xi, Benye Wu, Xiuchen Choat, Brendan Feng, Jinchao Jiang, Mingkai Tissue, David Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title | Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title_full | Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title_fullStr | Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title_full_unstemmed | Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title_short | Unlocking Drought-Induced Tree Mortality: Physiological Mechanisms to Modeling |
title_sort | unlocking drought-induced tree mortality: physiological mechanisms to modeling |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015645/ https://www.ncbi.nlm.nih.gov/pubmed/35444681 http://dx.doi.org/10.3389/fpls.2022.835921 |
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