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Hydraulic prediction of drought-induced plant dieback and top-kill depends on leaf habit and growth form

Citation

Chen, Ya-Jun et al. (2021), Hydraulic prediction of drought-induced plant dieback and top-kill depends on leaf habit and growth form, Dryad, Dataset, https://doi.org/10.5061/dryad.37pvmcvkv

Abstract

Hydraulic failure caused by severe drought contributes to aboveground dieback and whole-plant death. The extent to which dieback or whole-plant death can be predicted by plant hydraulic traits has rarely been tested among species with different leaf habits and/or growth forms. We investigated 19 hydraulic traits in 40 woody species in a tropical savanna and their potential correlations with drought response during an extreme drought event during the El Niño–Southern Oscillation in 2015. Plant hydraulic trait variation was partitioned substantially by leaf habit but not growth form along a trade-off axis between traits that support drought tolerance versus avoidance. Semi-deciduous species and shrubs had the highest branch dieback and top-kill (complete aboveground death) among the leaf habits or growth forms. Dieback and top-kill were well explained by combining hydraulic traits with leaf habit and growth form, suggesting integrating life history traits with hydraulic traits will yield better predictions.

Funding

National Natural Science Foundation of China, Award: 41861144016, 31570406, 32071735, 31861133008

Youth Innovation Promotion Association of the Chinese Academy of Sciences, Award: 2016351

‘Light of West China’ Program, Chinese Academy of Sciences

Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Award: 151C53KYSB20200019

CAS 135 program, Award: 2017XTBG-T01, 2017XTBG-F01

Yunnan Provincial Science and Technology Department, Award: 2018HB068

CAS-TWAS President’s Fellowship for International Doctoral Students

DFG –NSFC joint project, Award: 410768178

‘Light of West China’ Program, Chinese Academy of Sciences

Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Award: 151C53KYSB20200019

CAS 135 program, Award: 2017XTBG-T01, 2017XTBG-F01

CAS-TWAS President’s Fellowship for International Doctoral Students

DFG –NSFC joint project, Award: 410768178