Mapping multi-dimensional variability in water stress strategies across temperate forests
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
No. 758873
EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
M2714-B29
Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
PubMed
39414780
PubMed Central
PMC11484845
DOI
10.1038/s41467-024-53160-1
PII: 10.1038/s41467-024-53160-1
Knihovny.cz E-zdroje
- MeSH
- biomasa MeSH
- dehydratace MeSH
- klimatické změny MeSH
- lesy * MeSH
- listy rostlin MeSH
- podnebí MeSH
- stromy * fyziologie MeSH
- teplota MeSH
- voda metabolismus MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
- Spojené státy americké MeSH
- Názvy látek
- voda MeSH
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.
Birmingham Institute of Forest Research University of Birmingham B15 2TT Birmingham UK
Department of Botany and Biodiversity Research University of Vienna Rennweg 14 1030 Vienna Austria
Forest and Natural Resources Research Centre Taxus IT ul Płomyka 56A 02 491 Warszawa Poland
IFER Institute of Forest Ecosystem Research Cs Armady 655 254 01 Jilove u Prahy Czech Republic
National Centre for Earth Observation University of Leicester LE4 5SP Leicester UK
Natural Resources Institute Finland Latokartanonkaari 9 00790 Helsinki Finland
School of Geography Earth and Environmental Sciences University of Birmingham B15 2TT Birmingham UK
Univ Grenoble Alpes INRAE LESSEM F 38402 St Martin d'Hères France
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