Tree species explain only half of explained spatial variability in plant water sensitivity.
inter‐specific variability
intra‐specific variability
live fuel moisture content
plant hydraulic traits
plant‐water interactions
water stress
Journal
Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746
Informations de publication
Date de publication:
Jul 2024
Jul 2024
Historique:
revised:
07
06
2024
received:
23
11
2023
accepted:
12
06
2024
medline:
15
7
2024
pubmed:
15
7
2024
entrez:
15
7
2024
Statut:
ppublish
Résumé
Spatiotemporal patterns of plant water uptake, loss, and storage exert a first-order control on photosynthesis and evapotranspiration. Many studies of plant responses to water stress have focused on differences between species because of their different stomatal closure, xylem conductance, and root traits. However, several other ecohydrological factors are also relevant, including soil hydraulics, topographically driven redistribution of water, plant adaptation to local climatic variations, and changes in vegetation density. Here, we seek to understand the relative importance of the dominant species for regional-scale variations in woody plant responses to water stress. We map plant water sensitivity (PWS) based on the response of remotely sensed live fuel moisture content to variations in hydrometeorology using an auto-regressive model. Live fuel moisture content dynamics are informative of PWS because they directly reflect vegetation water content and therefore patterns of plant water uptake and evapotranspiration. The PWS is studied using 21,455 wooded locations containing U.S. Forest Service Forest Inventory and Analysis plots across the western United States, where species cover is known and where a single species is locally dominant. Using a species-specific mean PWS value explains 23% of observed PWS variability. By contrast, a random forest driven by mean vegetation density, mean climate, soil properties, and topographic descriptors explains 43% of observed PWS variability. Thus, the dominant species explains only 53% (23% compared to 43%) of explainable variations in PWS. Mean climate and mean NDVI also exert significant influence on PWS. Our results suggest that studies of differences between species should explicitly consider the environments (climate, soil, topography) in which observations for each species are made, and whether those environments are representative of the entire species range.
Substances chimiques
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e17425Subventions
Organisme : Earth Sciences Division, NASA
ID : 80NSSC21K1523
Organisme : National Science Foundation
ID : 1942133
Organisme : National Science Foundation
ID : 2003205
Organisme : National Science Foundation
ID : 2216855
Organisme : Gordon and Betty Moore Foundation
ID : 11974
Informations de copyright
© 2024 The Author(s). Global Change Biology published by John Wiley & Sons Ltd.
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