Mapping multi-dimensional variability in water stress strategies across temperate forests
Authors
Liu, Daijun; Esquivel Muelbert, Adriane; Acil, Nezha; Astigarraga Urcelay, JulenIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/62914DOI: 10.1038/s41467-024-53160-1
ISSN: 2041-1723
Date
2024-10-16Academic Departments
Universidad de Alcalá. Departamento de Ciencias de la Vida
Bibliographic citation
Nature Communications, 2024, v. 15, n. 8909, p. 1-11
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
Increasing water stress is emerging as a global phenomenon, and is anticipated
to have a marked impact on forest function. The role of tree functional strategies is pivotal in regulating forest fitness and their ability to cope with water
stress. However, how the functional strategies found at the tree or species level
scale up to characterise forest communities and their variation across regions
is not yet well-established. By combining eight water-stress-related functional
traits with forest inventory data from the USA and Europe, we investigated the
community-level trait coordination and the biogeographic patterns of trait
associations for woody plants, and analysed the relationships between the trait
associations and climate factors. We find that the trait associations at
the community level are consistent with those found at the species level. Traits
associated with acquisitive-conservative strategies forms one dimension of
variation, while leaf turgor loss point, associated with stomatal water regulation strategy, loads along a second dimension. Surprisingly, spatial patterns of
community-level trait association are better explained by temperature than by
aridity, suggesting a temperature-driven adaptation. These findings provide a
basis to build predictions of forest response under water stress, with particular
potential to improve simulations of tree mortality and forest biomass accumulation in a changing climate.
Files in this item
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| Mapping_Liu_NatureComm_2024.pdf | 2.249Mb |
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| Mapping_Liu_NatureComm_2024.pdf | 2.249Mb |
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