Tropical forest lianas have greater non-structural carbohydrate concentrations in the stem xylem than trees.

host-tree liana infestation soluble sugars starch

Journal

Tree physiology
ISSN: 1758-4469
Titre abrégé: Tree Physiol
Pays: Canada
ID NLM: 100955338

Informations de publication

Date de publication:
16 Aug 2023
Historique:
received: 25 10 2022
revised: 17 07 2023
accepted: 11 08 2023
medline: 16 8 2023
pubmed: 16 8 2023
entrez: 16 8 2023
Statut: aheadofprint

Résumé

Lianas (woody vines) are important components of tropical forests and are known to compete with host trees for resources, decrease tree growth and increase tree mortality. Given the observed increases in liana abundance in some forests and their impacts on forest function, an integrated understanding of carbon dynamics of lianas and liana-infested host trees is critical for improved prediction of tropical forest responses to climate change. Non-structural carbohydrates (NSC) are the main substrate for plant metabolism (e.g., growth, respiration), and have been implicated in enabling tree survival under environmental stress, but little is known of how they vary among life-forms or of how liana infestation impacts host tree NSC. We quantified stem total NSC (NSC) concentrations and its fractions (starch and soluble sugars) in trees without liana infestation, trees with more than 50% of the canopy covered by lianas, and the lianas infesting those trees. We hypothesized that i) liana infestation depletes NSC storage in host trees by reducing carbon assimilation due to competition for resources; ii) trees and lianas, which greatly differ in functional traits related to water transport and carbon uptake, would also have large differences in NSC storage, and that As water availability has a significant role in NSC dynamics of Amazonian tree species, we tested these hypotheses within a moist site in western Amazonia and a drier forest site in southern Amazonia. We did not find any difference in NSC, starch or soluble sugar concentrations between infested and non-infested trees, in either site. This result suggests that negative liana impact on trees may be mediated through mechanisms other than depletion of host tree NSC concentrations. We found lianas have higher stem NSC and starch than trees in both sites. The consistent differences in starch concentrations, a long term NSC reserve, between life forms across sites reflect differences in carbon gain and use of lianas and trees. Soluble sugar concentrations were higher in lianas than in trees in the moist site but indistinguishable between life forms in the dry site. The lack of difference in soluble sugars between trees and lianas in the dry site emphasize the importance of this NSC fraction for plant metabolism of plants occurring in water limited environments. Abstract in Portuguese and Spanish are available in the supplementary material.

Identifiants

pubmed: 37584458
pii: 7243038
doi: 10.1093/treephys/tpad096
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Caroline Signori-Müller (C)

College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
Department of Plant Biology, Institute of Biology, Programa de Pós Graduação em Biologia Vegetal, University of Campinas, Campinas, Brazil.
School of Geography, University of Leeds, Leeds, UK.

David Galbraith (D)

School of Geography, University of Leeds, Leeds, UK.

Julia Valentim Tavares (JV)

School of Geography, University of Leeds, Leeds, UK.
Department of Ecology and Genetics, Uppsala University, Sweden.

Simone Matias Reis (SM)

Programa de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina, Brazil.
Laboratório de Ecologia Vegetal, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil.
School of Geography and the Environment, Environmental Change Institute, University of Oxford, Oxford, UK.

Francisco Carvalho Diniz (FC)

School of Geography, University of Leeds, Leeds, UK.

Martin Gilpin (M)

School of Geography, University of Leeds, Leeds, UK.

Beatriz Schwantes Marimon (BS)

Programa de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina, Brazil.
Laboratório de Ecologia Vegetal, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil.

Geertje M F van der Heijden (GMF)

School of Geography, University of Nottingham, Nottingham, UK.

Camila Borges (C)

Programa de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina, Brazil.
Laboratório de Ecologia Vegetal, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil.

Bruno Barçante Ladvocat Cintra (BBL)

School of Geography, University of Leeds, Leeds, UK.
School of Geography, Earth and Environmental Sciences, University of Birmingham.

Sarah Mião (S)

Department of Plant Biology, Institute of Biology, Programa de Pós Graduação em Biologia Vegetal, University of Campinas, Campinas, Brazil.

Paulo S Morandi (PS)

Programa de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina, Brazil.
Laboratório de Ecologia Vegetal, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil.

Alex Nina (A)

Pontificia Universidad Católica del Perú, Lima, Peru.

Carlos A Salas Yupayccana (CA)

Pontificia Universidad Católica del Perú, Lima, Peru.

Manuel J Marca Zevallos (MJ)

Pontificia Universidad Católica del Perú, Lima, Peru.
Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru.

Eric G Cosio (EG)

Pontificia Universidad Católica del Perú, Lima, Peru.

Ben Hur Marimon Junior (BHM)

Programa de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina, Brazil.
Laboratório de Ecologia Vegetal, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil.

Abel Monteagudo Mendoza (AM)

Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru.
Jardín Botánico de Missouri, Cusco, Peru.

Oliver Phillips (O)

School of Geography, University of Leeds, Leeds, UK.

Norma Salinas (N)

School of Geography and the Environment, Environmental Change Institute, University of Oxford, Oxford, UK.
Pontificia Universidad Católica del Perú, Lima, Peru.

Rodolfo Vasquez (R)

Jardín Botánico de Missouri, Cusco, Peru.

Maurizio Mencuccini (M)

CREAF, Campus UAB, Cerdanyola del Vallés, Spain.
ICREA, Barcelona, Spain.

Rafael S Oliveira (RS)

Department of Plant Biology, Institute of Biology, University of Campinas, Campinas, Brazil.

Classifications MeSH