Title
Variation of non-structural carbohydrates across the fast–slow continuum in Amazon Forest canopy trees
Date Issued
01 February 2022
Access level
open access
Resource Type
journal article
Author(s)
Signori-Müller C.
Oliveira R.S.
Valentim Tavares J.
Carvalho Diniz F.
Gilpin M.
de V. Barros F.
Marca Zevallos M.J.
Salas Yupayccana C.A.
Nina A.
Brum M.
Baker T.R.
Malhi Y.
Phillips O.L.
Rowland L.
Vasquez R.
Mencuccini M.
Galbraith D.
Publisher(s)
John Wiley and Sons Inc
Abstract
Tropical tree species span a range of life-history strategies within a fast–slow continuum. The position of a species within this continuum is thought to reflect a negative relationship between growth and storage, with fast-growing species allocating more carbon to growth and slow-growing species investing more in storage. For tropical species, the relationship between storage and life-history strategies has been largely studied on seedlings and less so in adult trees. We evaluated how stored non-structural carbohydrates (NSC) vary across adult trees spanning the fast–slow continuum in the Peruvian Amazon by: (a) analysing whole-tree NSC in two species of contrasting growth and (b) investigating the relationships with key life-history traits across a broader set of species. Our results are consistent with a growth–storage trade-off. The analysis of whole-tree NSC revealed that the slow-growing Eschweilera coriacea stored about 2.7 times as much NSC as the fast-growing Bixa arborea due to markedly higher storage in woody stems and roots. B. arborea also had higher seasonality in NSC, reflecting its strong seasonality in stem growth. Across a range of species, stem starch was negatively related to species growth rate and positively related to wood density. Given the role of NSC in mediating plants' response to stress, our results suggest that slow-growing species with greater storage reserves may be more resilient to drought than fast-growing species.
Start page
341
End page
355
Volume
36
Issue
2
Language
English
OCDE Knowledge area
Ecología
Scopus EID
2-s2.0-85121370174
Source
Functional Ecology
ISSN of the container
02698463
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 Program at University of Campinas. C.S.‐M., J.V.T., F.B.V., M.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). R.S.O. acknowledge the São Paulo Research Foundation (FAPESP‐Microsoft 11/52072‐0). The Amazon forest plots in the RAINFOR network analysed here were established, identified and measured with support from many colleagues and grants mentioned elsewhere (Esquivel‐Muelbert et al., 2020 ). This paper is an outcome of ForestPlots.net approved Research Project #18. The authors especially thank: Rakesh Tiwari for drawing the tree used in Figure 2 ; Vanessa Hilares and the Asociación para la Investigación y Desarrollo Integral (AIDER) for field campaign support; Hugo Ninantay and Alex Ninantay for sample collection; Fernanda Piccolo for laboratory support; and Grazielle S. Teodoro, Giuliano Locosselli and Peter Groenendyk for their comments on an early version of this manuscript.
Sources of information: Directorio de Producción Científica Scopus