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Global variations in critical drought thresholds that impact vegetation

Identifying the thresholds of drought that, if crossed, suppress vegetation functioning is vital for accurate quantification of how land ecosystems respond to climate variability and change. We present a globally applicable framework to identify drought thresholds for vegetation responses to differe...

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Autores principales: Li, Xiangyi, Piao, Shilong, Huntingford, Chris, Peñuelas, Josep, Yang, Hui, Xu, Hao, Chen, Anping, Friedlingstein, Pierre, Keenan, Trevor F, Sitch, Stephen, Wang, Xuhui, Zscheischler, Jakob, Mahecha, Miguel D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103823/
https://www.ncbi.nlm.nih.gov/pubmed/37064217
http://dx.doi.org/10.1093/nsr/nwad049
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author Li, Xiangyi
Piao, Shilong
Huntingford, Chris
Peñuelas, Josep
Yang, Hui
Xu, Hao
Chen, Anping
Friedlingstein, Pierre
Keenan, Trevor F
Sitch, Stephen
Wang, Xuhui
Zscheischler, Jakob
Mahecha, Miguel D
author_facet Li, Xiangyi
Piao, Shilong
Huntingford, Chris
Peñuelas, Josep
Yang, Hui
Xu, Hao
Chen, Anping
Friedlingstein, Pierre
Keenan, Trevor F
Sitch, Stephen
Wang, Xuhui
Zscheischler, Jakob
Mahecha, Miguel D
author_sort Li, Xiangyi
collection PubMed
description Identifying the thresholds of drought that, if crossed, suppress vegetation functioning is vital for accurate quantification of how land ecosystems respond to climate variability and change. We present a globally applicable framework to identify drought thresholds for vegetation responses to different levels of known soil-moisture deficits using four remotely sensed vegetation proxies spanning 2001–2018. The thresholds identified represent critical inflection points for changing vegetation responses from highly resistant to highly vulnerable in response to drought stress, and as a warning signal for substantial vegetation impacts. Drought thresholds varied geographically, with much lower percentiles of soil-moisture anomalies in vegetated areas covered by more forests, corresponding to a comparably stronger capacity to mitigate soil water deficit stress in forested ecosystems. Generally, those lower thresholds are detected in more humid climates. State-of-the-art land models, however, overestimated thresholds of soil moisture (i.e. overestimating drought impacts), especially in more humid areas with higher forest covers and arid areas with few forest covers. Based on climate model projections, we predict that the risk of vegetation damage will increase by the end of the twenty-first century in some hotspots like East Asia, Europe, Amazon, southern Australia and eastern and southern Africa. Our data-based results will inform projections on future drought impacts on terrestrial ecosystems and provide an effective tool for drought management.
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spelling pubmed-101038232023-04-15 Global variations in critical drought thresholds that impact vegetation Li, Xiangyi Piao, Shilong Huntingford, Chris Peñuelas, Josep Yang, Hui Xu, Hao Chen, Anping Friedlingstein, Pierre Keenan, Trevor F Sitch, Stephen Wang, Xuhui Zscheischler, Jakob Mahecha, Miguel D Natl Sci Rev Research Article Identifying the thresholds of drought that, if crossed, suppress vegetation functioning is vital for accurate quantification of how land ecosystems respond to climate variability and change. We present a globally applicable framework to identify drought thresholds for vegetation responses to different levels of known soil-moisture deficits using four remotely sensed vegetation proxies spanning 2001–2018. The thresholds identified represent critical inflection points for changing vegetation responses from highly resistant to highly vulnerable in response to drought stress, and as a warning signal for substantial vegetation impacts. Drought thresholds varied geographically, with much lower percentiles of soil-moisture anomalies in vegetated areas covered by more forests, corresponding to a comparably stronger capacity to mitigate soil water deficit stress in forested ecosystems. Generally, those lower thresholds are detected in more humid climates. State-of-the-art land models, however, overestimated thresholds of soil moisture (i.e. overestimating drought impacts), especially in more humid areas with higher forest covers and arid areas with few forest covers. Based on climate model projections, we predict that the risk of vegetation damage will increase by the end of the twenty-first century in some hotspots like East Asia, Europe, Amazon, southern Australia and eastern and southern Africa. Our data-based results will inform projections on future drought impacts on terrestrial ecosystems and provide an effective tool for drought management. Oxford University Press 2023-02-24 /pmc/articles/PMC10103823/ /pubmed/37064217 http://dx.doi.org/10.1093/nsr/nwad049 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Xiangyi
Piao, Shilong
Huntingford, Chris
Peñuelas, Josep
Yang, Hui
Xu, Hao
Chen, Anping
Friedlingstein, Pierre
Keenan, Trevor F
Sitch, Stephen
Wang, Xuhui
Zscheischler, Jakob
Mahecha, Miguel D
Global variations in critical drought thresholds that impact vegetation
title Global variations in critical drought thresholds that impact vegetation
title_full Global variations in critical drought thresholds that impact vegetation
title_fullStr Global variations in critical drought thresholds that impact vegetation
title_full_unstemmed Global variations in critical drought thresholds that impact vegetation
title_short Global variations in critical drought thresholds that impact vegetation
title_sort global variations in critical drought thresholds that impact vegetation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103823/
https://www.ncbi.nlm.nih.gov/pubmed/37064217
http://dx.doi.org/10.1093/nsr/nwad049
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