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Maximum tree lifespans derived from public-domain dendrochronological data

The public-domain International Tree-Ring Data Bank (ITRDB) is an under-utilized dataset to improve existing estimates of global tree longevity. We used the longest continuous ring-width series of existing ITRDB collections as an index of maximum tree age for that species and site. Using a total of...

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Detalles Bibliográficos
Autores principales: Biondi, Franco, Meko, David M., Piovesan, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011738/
https://www.ncbi.nlm.nih.gov/pubmed/36926654
http://dx.doi.org/10.1016/j.isci.2023.106138
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author Biondi, Franco
Meko, David M.
Piovesan, Gianluca
author_facet Biondi, Franco
Meko, David M.
Piovesan, Gianluca
author_sort Biondi, Franco
collection PubMed
description The public-domain International Tree-Ring Data Bank (ITRDB) is an under-utilized dataset to improve existing estimates of global tree longevity. We used the longest continuous ring-width series of existing ITRDB collections as an index of maximum tree age for that species and site. Using a total of 3,689 collections, we obtained longevity estimates for 237 unique tree species, 157 conifers and 80 angiosperms, distributed all over the world. More than half of the species (167) were represented by no more than 10 collections, and a similar number of species (144) reached longevity greater than 300 years. Maximum tree ages exceeded 1,000 years for several species (22), all of them conifers, whereas angiosperm longevity peaked around 500 years. Given the current emphasis on identifying human-induced impacts on global systems, detailed analyses of ITRDB holdings provide one of the most reliable sources of information for tree longevity as an ecological trait.
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spelling pubmed-100117382023-03-15 Maximum tree lifespans derived from public-domain dendrochronological data Biondi, Franco Meko, David M. Piovesan, Gianluca iScience Article The public-domain International Tree-Ring Data Bank (ITRDB) is an under-utilized dataset to improve existing estimates of global tree longevity. We used the longest continuous ring-width series of existing ITRDB collections as an index of maximum tree age for that species and site. Using a total of 3,689 collections, we obtained longevity estimates for 237 unique tree species, 157 conifers and 80 angiosperms, distributed all over the world. More than half of the species (167) were represented by no more than 10 collections, and a similar number of species (144) reached longevity greater than 300 years. Maximum tree ages exceeded 1,000 years for several species (22), all of them conifers, whereas angiosperm longevity peaked around 500 years. Given the current emphasis on identifying human-induced impacts on global systems, detailed analyses of ITRDB holdings provide one of the most reliable sources of information for tree longevity as an ecological trait. Elsevier 2023-02-03 /pmc/articles/PMC10011738/ /pubmed/36926654 http://dx.doi.org/10.1016/j.isci.2023.106138 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Biondi, Franco
Meko, David M.
Piovesan, Gianluca
Maximum tree lifespans derived from public-domain dendrochronological data
title Maximum tree lifespans derived from public-domain dendrochronological data
title_full Maximum tree lifespans derived from public-domain dendrochronological data
title_fullStr Maximum tree lifespans derived from public-domain dendrochronological data
title_full_unstemmed Maximum tree lifespans derived from public-domain dendrochronological data
title_short Maximum tree lifespans derived from public-domain dendrochronological data
title_sort maximum tree lifespans derived from public-domain dendrochronological data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011738/
https://www.ncbi.nlm.nih.gov/pubmed/36926654
http://dx.doi.org/10.1016/j.isci.2023.106138
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