Evidence map›Paper›PMID 38766471›Full record

ArticleFrontiers in plant science2024

Non-structural carbohydrate concentrations in tree organs vary across biomes and leaf habits, but are independent of the fast-slow plant economic spectrum.

Jorge Andres Ramirez, Dylan Craven, David Herrera, Juan Manuel Posada, Bjorn Reu, Carlos A Sierra, Guenter Hoch, Ira Tanya Handa, Christian Messier

Abstract read
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Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Jorge Andres Ramirez *Facultad de Ciencias Agrarias, Universidad del Cauca, Popayán, Colombia.
Dylan Craven *GEMA Center for Genomics, Ecology and Environment, Universidad Mayor, Huechuraba, Santiago, Chile.
David HerreraDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.
Juan Manuel PosadaDepartment of Biology, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia.
Bjorn ReuSchool of Biology, Universidad Industrial de Santander, Bucaramanga, Colombia.
Carlos A SierraMax Planck Institute for Biogeochemistry, Jena, Germany.
Guenter HochDepartment of Environmental Sciences - Botany, University of Basel, Basel, Switzerland.
Ira Tanya HandaCentre d'Étude de la Forêt (CEF), Université du Québec à Montréal, Montréal, QC, Canada.
Christian MessierCentre d'Étude de la Forêt (CEF), Université du Québec à Montréal, Montréal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbohydrate reserves play a vital role in plant survival during periods of negative carbon balance. Under a carbon-limited scenario, we expect a trade-offs between carbon allocation to growth, reserves, and defense. A resulting hypothesis is that carbon allocation to reserves exhibits a coordinated variation with functional traits associated with the 'fast-slow' plant economics spectrum. We tested the relationship between non-structural carbohydrates (NSC) of tree organs and functional traits using 61 angiosperm tree species from temperate and tropical forests with phylogenetic hierarchical Bayesian models. Our results provide evidence that NSC concentrations in stems and branches are decoupled from plant functional traits. while those in roots are weakly coupled with plant functional traits. In contrast, we found that variation between NSC concentrations in leaves and the fast-slow trait spectrum was coordinated, as species with higher leaf NSC had trait values associated with resource conservative species, such as lower SLA, leaf N, and leaf P. We also detected a small effect of leaf habit on the variation of NSC concentrations in branches and roots. Efforts to predict the response of ecosystems to global change will need to integrate a suite of plant traits, such as NSC concentrations in woody organs, that are independent of the 'fast-slow' plant economics spectrum and that capture how species respond to a broad range of global change drivers.

Indexed as

carbohydrate reservescarbon investment strategiesleaf habittemperate treestrait syndromestropical trees

Identifiers

PMID38766471
PMCPMC11099217

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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.