Evidence map›Paper›PMID 41169714›Full record

ArticleFrontiers in plant science2025

Mortality correlates with tree functional traits across a wood density gradient in the Central Amazon.

Valdiek da Silva Menezes, Bruno O Gimenez, Cynthia L Wright, Niro Higuchi, Claudete C Nascimento, Fernanda B Barros, Gustavo C Spanner, Jardel R Rodrigues, Nate McDowell, Adam D Collins and 5 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Valdiek da Silva MenezesLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Bruno O GimenezLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Cynthia L WrightEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
Niro HiguchiLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Claudete C NascimentoLaboratório de Engenharia e Artefatos da Madeira, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Fernanda B BarrosLaboratório de Engenharia e Artefatos da Madeira, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Gustavo C SpannerLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Jardel R RodriguesLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Nate McDowellAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Adam D CollinsEarth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Robinson I Negrón-JuárezEarth and Environmental Science Area, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Jeffrey Q ChambersDepartment of Geography, University of California, Berkeley, Berkeley, CA, United States.
Brent D NewmanEarth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Adriano José Nogueira LimaLaboratório de Manejo Florestal (LMF), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil.
Jeffrey M WarrenEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Understanding the mechanisms of tree mortality in tropical ecosystems remains challenging, in part due to the high diversity of tree species and the inherently stochastic nature of mortality. Plant functional traits offer a mechanistic link between plant physiology and performance, yet their ability to predict growth and mortality remains poorly understood. Given recent increases in tree mortality rates in the Amazon forest following extreme drought and wind events, we tested if lower wood density and acquisitive plant functional traits were associated with increased growth and mortality for common co-occurring trees in the Central Amazon. Methods: Seventeen trees of different species with similar sizes but a range in wood density (WD) and wood traits were felled, then assessed for 27 different individual functional parameters, including whole tree architecture, stem xylem anatomical and hydraulic traits and leaf traits. Traits of the individual trees were related to stand-level growth and mortality rates collected periodically over 30 years from nearby permanent inventory plots. Results: Higher wood density was associated with smaller leaf size, lower foliar base cations, lower stem water content and sapwood fraction, in agreement with the fast-slow plant economics spectrum. Lower wood density was associated with more acquisitive characteristics with greater hydraulic capacity and foliar nutrient concentrations, correlating with greater growth and mortality rates. Discussion: Our results show that lower wood density is part of a coordinated suite of traits linked to high resource acquisition, fast growth, and increased mortality risk, providing a functional framework for predicting species performance and forest vulnerability under future climate stress.

Indexed as

demographicshydraulic traitsleaf traitsplant economic spectrumtree structuretropical forestwood anatomy

Identifiers

PMID41169714
PMCPMC12569815

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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.