TY - JOUR
T1 - Increased hydralic risk in assemblages of woody plant species predicts spatial patterns of drought-induced mortality
AU - Sanchez-Martinez, Pablo
AU - Mencuccini, Maurizio
AU - García-Valdé, Raúl
AU - Hammond, William M.
AU - Serra-Diaz, Josep M.
AU - Guo, Wen-Yong
AU - Segovia, Ricardo A.
AU - Dexter, Kyle
AU - Svenning, Jens-Christian
AU - Allen, Craig
N1 - Funding Information:
This work was supported by the Spanish government via competitive grants FUN2FUN (no. CGL2013-46808-R), DRESS (no. CGL2017-89149-C2-1-R) and TRACES (no. PID2021-127452NB-I00) funded by MCIN/AEI/10.13039/501100011033; and by grant no. 2021 SGR 00849 funded by AGAUR. P.S.-M. acknowledges an FPU predoctoral fellowship from the Spanish Ministry of Science, Innovation and Universities (grant no. FPU18/04945). J.M.-V. benefited from an ICREA Academia award. R.A.S. is supported by Fondecyt-Iniciacion/2020 1100967, ANID, Chile and grant no. ANID/BASAL FB210006. J.-C.S. and W.-Y.G. thank the VILLUM FONDEN for support via VILLUM Investigator project ‘Biodiversity Dynamics in a Changing World’ (grant no. 16549). J.-C.S. also considers this work a contribution to Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by Danish National Research Foundation (grant no. DNRF173). J.-M.S.-D. acknowledges support from NASA grant no. 80NSSC 22K0883.
Funding Information:
This work was supported by the Spanish government via competitive grants FUN2FUN (no. CGL2013-46808-R), DRESS (no. CGL2017-89149-C2-1-R) and TRACES (no. PID2021-127452NB-I00) funded by MCIN/AEI/10.13039/501100011033; and by grant no. 2021 SGR 00849 funded by AGAUR. P.S.-M. acknowledges an FPU predoctoral fellowship from the Spanish Ministry of Science, Innovation and Universities (grant no. FPU18/04945). J.M.-V. benefited from an ICREA Academia award. R.A.S. is supported by Fondecyt-Iniciacion/2020 1100967, ANID, Chile and grant no. ANID/BASAL FB210006. J.-C.S. and W.-Y.G. thank the VILLUM FONDEN for support via VILLUM Investigator project ‘Biodiversity Dynamics in a Changing World’ (grant no. 16549). J.-C.S. also considers this work a contribution to Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by Danish National Research Foundation (grant no. DNRF173). J.-M.S.-D. acknowledges support from NASA grant no. 80NSSC 22K0883.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/10/1
Y1 - 2023/10/1
N2 - Predicting drought-induced mortality (DIM) of woody plants remains a key research challenge under climate change. Here, we integrate information on the edaphoclimatic niches, phylogeny and hydraulic traits of species to model the hydraulic risk of woody plants globally. We combine these models with species distribution records to estimate the hydraulic risk faced by local woody plant species assemblages. Thus, we produce global maps of hydraulic risk and test for its relationship with observed DIM. Our results show that local assemblages modelled as having higher hydraulic risk present a higher probability of DIM. Metrics characterizing this hydraulic risk improve DIM predictions globally, relative to models accounting only for edaphoclimatic predictors or broad functional groupings. The methodology we present here allows mapping of functional trait distributions and elucidation of global macro-evolutionary and biogeographical patterns, improving our ability to predict potential global change impacts on vegetation.
AB - Predicting drought-induced mortality (DIM) of woody plants remains a key research challenge under climate change. Here, we integrate information on the edaphoclimatic niches, phylogeny and hydraulic traits of species to model the hydraulic risk of woody plants globally. We combine these models with species distribution records to estimate the hydraulic risk faced by local woody plant species assemblages. Thus, we produce global maps of hydraulic risk and test for its relationship with observed DIM. Our results show that local assemblages modelled as having higher hydraulic risk present a higher probability of DIM. Metrics characterizing this hydraulic risk improve DIM predictions globally, relative to models accounting only for edaphoclimatic predictors or broad functional groupings. The methodology we present here allows mapping of functional trait distributions and elucidation of global macro-evolutionary and biogeographical patterns, improving our ability to predict potential global change impacts on vegetation.
KW - Phenotype
KW - Climate Change
KW - Droughts
KW - Plants
U2 - 10.1038/s41559-023-02180-z
DO - 10.1038/s41559-023-02180-z
M3 - Article
C2 - 37640766
SN - 2397-334X
VL - 7
SP - 1620
EP - 1632
JO - Nature Ecology & Evolution
JF - Nature Ecology & Evolution
ER -