Title
Non-structural carbohydrates mediate seasonal water stress across Amazon forests
Date Issued
01 December 2021
Access level
open access
Resource Type
journal article
Author(s)
Signori-Müller C.
Oliveira R.S.
Barros F.d.V.
Tavares J.V.
Gilpin M.
Diniz F.C.
Zevallos M.J.M.
Yupayccana C.A.S.
Acosta M.
Bacca J.
Chino R.S.C.
Cuellar G.M.A.
Cumapa E.R.M.
Martinez F.
Mullisaca F.M.P.
Nina A.
Sanchez J.M.B.
da Silva L.F.
Tello L.
Tintaya J.S.
Ugarteche M.T.M.
Baker T.R.
Bittencourt P.R.L.
Borma L.S.
Brum M.
Castro W.
Coronado E.N.H.
Feldpausch T.R.
Fonseca L.d.M.
Gloor E.
Llampazo G.F.
Malhi Y.
Moscoso V.C.
Araujo-Murakami A.
Phillips O.L.
Silveira M.
Talbot J.
Vasquez R.
Mencuccini M.
Galbraith D.
Publisher(s)
Nature Research
Abstract
Non-structural carbohydrates (NSC) are major substrates for plant metabolism and have been implicated in mediating drought-induced tree mortality. Despite their significance, NSC dynamics in tropical forests remain little studied. We present leaf and branch NSC data for 82 Amazon canopy tree species in six sites spanning a broad precipitation gradient. During the wet season, total NSC (NSCT) concentrations in both organs were remarkably similar across communities. However, NSCT and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSCT in the form of SS (SS:NSCT) increased greatly in the dry season in almost all species in the driest sites, implying an important role of SS in mediating water stress in these sites. This adjustment of leaf NSC balance was not observed in tree species less-adapted to water deficit, even under exceptionally dry conditions. Thus, leaf carbon metabolism may help to explain floristic sorting across water availability gradients in Amazonia and enable better prediction of forest responses to future climate change.
Volume
12
Issue
1
Language
English
OCDE Knowledge area
Ciencias de las plantas, Botánica
Scopus EID
2-s2.0-85104546124
PubMed ID
Source
Nature Communications
ISSN of the container
20411723
Sponsor(s)
Amazon fieldwork and laboratory analyses for this publication were supported by the UK Natural Environment Research Council project TREMOR (NE/N004655/1) to D.G. This paper is an outcome of C.S.-M.’s doctoral thesis in the Plant Biology Programme at University of Campinas. C.S.-M., J.V.T., F.B.V., M.B., P.R.L.B., L.d’.A.F., L.S.B. and R.S.O. were financed by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES Finance Code 001). C.S.-M. received a scholarship from the Brazilian National Council for Scientific and Technological Development (CNPq 140353/2017-8) and CAPES (science without borders 88881.135316/2016-01). D.G. acknowledges further support from the NERC-funded ARBOLES project (NE/S011811/1). J.V.T. acknowledges CAPES for its science without borders scholarship (99999.001293/2015-00). C.S.-M. and R.S.O. acknowledge the São Paulo Research Foundation (FAPESP-Microsoft 11/52072-0). M.M. acknowledges support from MINECO FUN2FUN (CGL2013-46808-R) and DRESS (CGL2017-89149-C2-1-R). R.S.O., F.V.B., L.S.B. and P.R.L.B. thank the U.S. Department of Energy, project GoAmazon (FAPESP 2013/50531-2). P.R.L.B. acknowledges The Royal Society for its Newton International Fellowship (NF170370). A number of the field sites (KEN, TAM, ALP) are part of the Global Ecosystems Monitoring (GEM) network (gem.tropicalforests.ox.ac.uk) and were supported by the Gordon and Betty Moore Foundation and by ERC Advanced Investigator Grant (GEM-TRAITS, 321131) to Y.M. The Amazon forest plots in the RAINFOR network analysed here were established, identified and measured with support from many colleagues and grants mentioned elsewhere11,69. This study was carried out as a collaborative effort of the ForestPlots.net meta-network, a cyber-infrastructure initiative developed at the University of Leeds that unites contributing scientists and their permanent plot records from the world’s tropical forests. This paper is an outcome of ForestPlots.net approved Research Project #18. We additionally thank: Vanessa Hilares and the Asociación para la Investigación y Desarrollo Integral (AIDER) for field campaign support in Peru; Ezequiel Chavez and Noel Kempff Natural History Museum for field campaign support in Bolivia; and Hugo Ninantay and Alex Ninantay for sample collection.
Sources of information: Directorio de Producción Científica Scopus