Evidence map›Paper›PMID 37584458›Full record

ArticleTree physiology2024

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

Caroline Signori-Müller, David Galbraith, Julia V Tavares, Simone M Reis, Francisco C Diniz, Martin Gilpin, Beatriz S Marimon, Geertje M F van der Heijden, Camila Borges, Bruno B L Cintra and 13 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Tree physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 10 institutions in 6 countries.

Caroline Signori-MüllerFaculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QE, UK.ORCID 0000-0003-1047-1896
David GalbraithSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Julia V TavaresSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Simone M ReisPrograma de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina 78690-000, Brazil.
Francisco C DinizSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Martin GilpinSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Beatriz S MarimonPrograma de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina 78690-000, Brazil.
Geertje M F van der HeijdenSchool of Geography, University of Nottingham, Nottingham NG7 2RD, UK.
Camila BorgesPrograma de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina 78690-000, Brazil.
Bruno B L CintraSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Sarah MiãoDepartment of Plant Biology, Programa de Pós Graduação em Biologia Vegetal, Institute of Biology, University of Campinas, Campinas 13083-862, Brazil.
Paulo S MorandiPrograma de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina 78690-000, Brazil.
Alex NinaInstituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Carlos A Salas YupayccanaInstituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Manuel J Marca ZevallosInstituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Eric G CosioInstituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Ben H Marimon JuniorPrograma de Pós-Graduação da Rede de Biodiversidade e Biotecnologia da Amazônia Legal (BIONORTE), UFAM-UNEMAT, Nova Xavantina 78690-000, Brazil.
Abel M MendozaFacultad Ciencias Biologicas, Universidad Nacional de San Antonio Abad del Cusco, Cusco 08003, Peru.
Oliver PhillipsSchool of Geography, University of Leeds, Leeds LS2 9JT, UK.
Norma SalinasSchool of Geography and the Environment, Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK.
Rodolfo VasquezJardín Botánico de Missouri, Cusco 19231, Peru.
Maurizio MencucciniCREAF, Campus UAB, Cerdanyola del Vallés 08193, Spain.
Rafael S OliveiraDepartment of Plant Biology, Institute of Biology, University of Campinas, Campinas 13083-862, Brazil.
University of Leeds · GBAmazon (United States) · USPontificia Universidad Católica del Perú · PEMissouri Botanical Garden · USUniversidade Estadual de Campinas (UNICAMP) · BRInstitució Catalana de Recerca i Estudis Avançats · ESNational University of Saint Anthony the Abbot in Cuzco · PEUniversity of Nottingham · GBUniversity of Oxford · GBUppsala University · SE

Funding

Brazilian National Council for Scientific and Technological Development 140353/2017-8CAPES 88881.135316/2016-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001European Research Council 865403São Paulo Research Foundation 11/52072-0UK Natural Environment Research Council NE/N004655/1
6 · The paper itself

Abstract

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 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 xylem total NSC concentrations and its fractions (starch and soluble sugars) in trees without liana infestation, trees with ˃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. 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 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 lianas and trees carbon gain and use. 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 emphasizes the importance of this NSC fraction for the metabolism of plants occurring in water limited environments. Abstracts in Portuguese and Spanish are available in the supplementary material.

Indexed as

Carbohydrate MetabolismCarbohydratesTreesXylemForestsPlant StemsTropical ClimateCarbohydrateshost treeliana infestationsoluble sugarsstarch

Identifiers

PMID37584458
PMCPMC12086676
OpenAlexW4385851785

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.