Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/32119
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
Peer Review Status: | Refereed |
Title: | Impacts of recurrent dry and wet years alter long-term tree growth trajectories |
Author(s): | Serra-Maluquer, Xavier Granda, Elena Camarero, J Julio Vilà-Cabrera, Albert Jump, Alistair S Sánchez-Salguero, Raúl Sangüesa-Barreda, Gabriel Imbert, J Bosco Gazol, Antonio |
Contact Email: | a.s.jump@stir.ac.uk |
Keywords: | Dendroecology drought forest functional traits growth Iberian Peninsula wetness |
Issue Date: | Mar-2021 |
Date Deposited: | 21-Dec-2020 |
Citation: | Serra-Maluquer X, Granda E, Camarero JJ, Vilà-Cabrera A, Jump AS, Sánchez-Salguero R, Sangüesa-Barreda G, Imbert JB & Gazol A (2021) Impacts of recurrent dry and wet years alter long-term tree growth trajectories. Journal of Ecology, 109 (3), pp. 1561-1574. https://doi.org/10.1111/1365-2745.13579 |
Abstract: | 1. Climate extremes, such as abnormally dry and wet conditions, generate abrupt shifts in tree growth, a situation which is expected to increase under predicted climate conditions. Thus, it is crucial to understand factors determining short- and long-term tree performance in response to higher frequency and intensity of climate extremes. 2. We evaluated how three successive droughts and wet years influenced short- and long -term growth of six dominant Iberian tree species. Within species variation in growth response to repeated dry and wet years was evaluated as a function of individual traits related to resource and water use (diameter at breast height (DBH), wood density (WD) and specific leaf area (SLA)) and tree-to-tree competition across climatically contrasted populations. Furthermore, we assessed how short-term accumulated impacts of the repeated dry and wet years influenced long-term growth performance. 3. All species showed strong short-term growth decreases and enhancements due to repeated dry and wet years. However, patterns of accumulated growth decreases (AcGD) and enhancements (AcGE) across climatically contrasting populations were species-specific. Furthermore, individual trait data were weakly associated to either AcGD or AcGE and the few relevant associations were found for conifers. Intraspecific variations in tree growth responses to repeated climates extremes were large, and not explained by intraspecific variability in SLA and WD. Accumulated impacts of repeated dry and wet years were related to long-term growth trends, showing how the recurrence of climate extremes can determine growth trajectories. The relationships of AcGD and AcGE with long-term growth trends were more common in conifers species. 4. “Synthesis”. Repeated climate extremes do not only cause short-term growth reductions and enhancements, but also determine long-term tree growth trajectories. This result shows how repeated droughts can lead to growth decline. Conifers were more susceptible to the accumulated effects of extreme weather events indicating that in the future, more intense and frequent climate extremes will alter growth performance in forests dominated by these species. |
DOI Link: | 10.1111/1365-2745.13579 |
Rights: | This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Serra‐Maluquer, X, Granda, E, Camarero, JJ, et al. Impacts of recurrent dry and wet years alter long‐term tree growth trajectories. Journal of Ecology 2021; 109: 1561-1574, which has been published in final form at https://doi.org/10.1111/1365-2745.13579. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving. |
Licence URL(s): | https://storre.stir.ac.uk/STORREEndUserLicence.pdf |
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acceptedMS_XSM_JEcol.pdf | Fulltext - Accepted Version | 1.73 MB | Adobe PDF | View/Open |
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