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Tree demography dominates long‐term growth trends inferred from tree rings

Understanding responses of forests to increasing CO (2) and temperature is an important challenge, but no easy task. Tree rings are increasingly used to study such responses. In a recent study, van der Sleen et al. (2014) Nature Geoscience, 8, 4 used tree rings from 12 tropical tree species and find...

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Autores principales: Brienen, Roel J. W., Gloor, Manuel, Ziv, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849721/
https://www.ncbi.nlm.nih.gov/pubmed/27387088
http://dx.doi.org/10.1111/gcb.13410
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author Brienen, Roel J. W.
Gloor, Manuel
Ziv, Guy
author_facet Brienen, Roel J. W.
Gloor, Manuel
Ziv, Guy
author_sort Brienen, Roel J. W.
collection PubMed
description Understanding responses of forests to increasing CO (2) and temperature is an important challenge, but no easy task. Tree rings are increasingly used to study such responses. In a recent study, van der Sleen et al. (2014) Nature Geoscience, 8, 4 used tree rings from 12 tropical tree species and find that despite increases in intrinsic water use efficiency, no growth stimulation is observed. This challenges the idea that increasing CO (2) would stimulate growth. Unfortunately, tree ring analysis can be plagued by biases, resulting in spurious growth trends. While their study evaluated several biases, it does not account for all. In particular, one bias may have seriously affected their results. Several of the species have recruitment patterns, which are not uniform, but clustered around one specific year. This results in spurious negative growth trends if growth rates are calculated in fixed size classes, as ‘fast‐growing’ trees reach the sampling diameter earlier compared to slow growers and thus fast growth rates tend to have earlier calendar dates. We assessed the effect of this ‘nonuniform age bias’ on observed growth trends and find that van der Sleen's conclusions of a lack of growth stimulation do not hold. Growth trends are – at least partially – driven by underlying recruitment or age distributions. Species with more clustered age distributions show more negative growth trends, and simulations to estimate the effect of species’ age distributions show growth trends close to those observed. Re‐evaluation of the growth data and correction for the bias result in significant positive growth trends of 1–2% per decade for the full period, and 3–7% since 1950. These observations, however, should be taken cautiously as multiple biases affect these trend estimates. In all, our results highlight that tree ring studies of long‐term growth trends can be strongly influenced by biases if demographic processes are not carefully accounted for.
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spelling pubmed-68497212019-11-15 Tree demography dominates long‐term growth trends inferred from tree rings Brienen, Roel J. W. Gloor, Manuel Ziv, Guy Glob Chang Biol Opinion Understanding responses of forests to increasing CO (2) and temperature is an important challenge, but no easy task. Tree rings are increasingly used to study such responses. In a recent study, van der Sleen et al. (2014) Nature Geoscience, 8, 4 used tree rings from 12 tropical tree species and find that despite increases in intrinsic water use efficiency, no growth stimulation is observed. This challenges the idea that increasing CO (2) would stimulate growth. Unfortunately, tree ring analysis can be plagued by biases, resulting in spurious growth trends. While their study evaluated several biases, it does not account for all. In particular, one bias may have seriously affected their results. Several of the species have recruitment patterns, which are not uniform, but clustered around one specific year. This results in spurious negative growth trends if growth rates are calculated in fixed size classes, as ‘fast‐growing’ trees reach the sampling diameter earlier compared to slow growers and thus fast growth rates tend to have earlier calendar dates. We assessed the effect of this ‘nonuniform age bias’ on observed growth trends and find that van der Sleen's conclusions of a lack of growth stimulation do not hold. Growth trends are – at least partially – driven by underlying recruitment or age distributions. Species with more clustered age distributions show more negative growth trends, and simulations to estimate the effect of species’ age distributions show growth trends close to those observed. Re‐evaluation of the growth data and correction for the bias result in significant positive growth trends of 1–2% per decade for the full period, and 3–7% since 1950. These observations, however, should be taken cautiously as multiple biases affect these trend estimates. In all, our results highlight that tree ring studies of long‐term growth trends can be strongly influenced by biases if demographic processes are not carefully accounted for. John Wiley and Sons Inc. 2016-08-16 2017-02 /pmc/articles/PMC6849721/ /pubmed/27387088 http://dx.doi.org/10.1111/gcb.13410 Text en © 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion
Brienen, Roel J. W.
Gloor, Manuel
Ziv, Guy
Tree demography dominates long‐term growth trends inferred from tree rings
title Tree demography dominates long‐term growth trends inferred from tree rings
title_full Tree demography dominates long‐term growth trends inferred from tree rings
title_fullStr Tree demography dominates long‐term growth trends inferred from tree rings
title_full_unstemmed Tree demography dominates long‐term growth trends inferred from tree rings
title_short Tree demography dominates long‐term growth trends inferred from tree rings
title_sort tree demography dominates long‐term growth trends inferred from tree rings
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849721/
https://www.ncbi.nlm.nih.gov/pubmed/27387088
http://dx.doi.org/10.1111/gcb.13410
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