Back to Search Start Over

Plant traits controlling growth change in response to a drier climate

Authors :
Maurizio Mencuccini
Lucy Rowland
Antonio da Costa
Tomas F. Domingues
Rafael S. Oliveira
Andre L. Giles
Leandro Valle Ferreira
Ingrid Coughlin
Paulo R. L. Bittencourt
Steel Silva Vasconcelos
Patrick Meir
Patrícia de Britto Costa
João de Athaydes Silva Junior
Alex A. R. Oliveira
Lucy Rowland, University of Exeter
Rafael S. Oliveira, UNICAMP / UWA
Paulo R. L. Bittencourt, University of Exeter / UNICAMP
Andre L. Giles, UNICAMP
Ingrid Coughlin, USP / Australian National University
Patricia de Britto Costa, UWA / UNICAMP
Tomas Domingues, USP
Leandro V. Ferreira, MPEG
STEEL SILVA VASCONCELOS, CPATU
João A. S. Junior, UFPA
Alex A. R. Oliveira, University of Edinburgh
Antonio C. L. da Costa, MPEG / COLABORADOR CPATU
Patrick Meir, Australian National University / University of Edinburgh
Maurizio Mencuccini, CREAF / ICREA.
Source :
Rowland, L, Oliveira, R S, Bittencourt, P R L, Giles, A L, Coughlin, I, Costa, P D B, Domingues, T, Ferreira, L V, Vasconcelos, S S, Junior, J A S, Oliveira, A A R, Costa, A C L, Meir, P & Mencuccini, M 2021, ' Plant traits controlling growth change in response to a drier climate ', New Phytologist, vol. 229, no. 3, pp. 1363-1374 . https://doi.org/10.1111/nph.16972, Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Plant traits are increasingly being used to improve prediction of plant function, including plant demography. However, the capability of plant traits to predict demographic rates remains uncertain, particularly in the context of trees experiencing a changing climate. Here we present data combining 17 plant traits associated with plant structure, metabolism and hydraulic status, with measurements of long‐term mean, maximum and relative growth rates for 176 trees from the world?s longest running tropical forest drought experiment. We demonstrate that plant traits can predict mean annual tree growth rates with moderate explanatory power. However, only combinations of traits associated more directly with plant functional processes, rather than more commonly employed traits like wood density or leaf mass per area, yield the power to predict growth. Critically, we observe a shift from growth being controlled by traits related to carbon cycling (assimilation and respiration) in well‐watered trees, to traits relating to plant hydraulic stress in drought‐stressed trees. We also demonstrate that even with a very comprehensive set of plant traits and growth data on large numbers of tropical trees, considerable uncertainty remains in directly interpreting the mechanisms through which traits influence performance in tropical forests. Made available in DSpace on 2021-01-12T09:05:37Z (GMT). No. of bitstreams: 1 nph.16972-2021.pdf: 1264820 bytes, checksum: 64adf8c9966954ff58dceff8df2c98cf (MD5) Previous issue date: 2021 Publicado Online em 27 set. 2020.

Details

ISSN :
14698137, 0028646X, and 69722021
Volume :
229
Database :
OpenAIRE
Journal :
New Phytologist
Accession number :
edsair.doi.dedup.....f8eb96beba4d16d30904ad83cbce6033
Full Text :
https://doi.org/10.1111/nph.16972