Evidence map›Paper›PMID 40944540›Full record

ArticleEcology2025

Leaf allocation improves predictability of interspecific growth rates in a broadleaf deciduous temperate forest.

Minh Chau N Ho, Michael Kalyuzhny, María Natalia Umaña, Annette M Ostling

Abstract read
In one paragraph

Article in Ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Minh Chau N HoDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-0434-4412
Michael KalyuzhnyDepartment of Integrative Biology, University of Texas at Austin, Austin, Texas, USA.ORCID https://orcid.org/0000-0002-5574-0079
María Natalia UmañaDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-5876-7720
Annette M OstlingDepartment of Integrative Biology, University of Texas at Austin, Austin, Texas, USA.

Funding

Edwin S. George Reserve FundForestGEORackham Merit FellowshipUSDA McIntyre-Stennis GrantZuckerman STEM Leadership Program
6 · The paper itself

Abstract

Understanding the relationships between species' demography and functional traits is crucial for gaining a mechanistic understanding of community dynamics. While leaf morphology represents a key functional dimension for plants worldwide (i.e., the leaf economics spectrum), its ability to explain variation in trees' life history strategies remains limited. Plant growth is influenced by both leaf morphology and allocation; hence, incorporating both dimensions is essential but rarely done. Additionally, trait-performance relationships have mainly been studied in tropical communities, leaving gaps in our understanding of temperate forests where different seasonality patterns may alter these relationships. We examined whether species' leaf area index (leaf area per crown size, LAI), a measure of leaf allocation, explains the variation of juvenile tree species' potential growth rates in a winter-deciduous broadleaf forest. LAI has not been characterized as a species-level trait, but its ability to predict plant productivity at the ecosystem scale highlights its potential for explaining plant growth. We evaluated species' maximum LAI both individually and in conjunction with wood density (WD) and leaf mass per area (LMA). We expected that models would improve when both leaf morphology (LMA) and leaf allocation (LAI) were included and that species with denser crowns would have higher potential growth rates. LAI and LMA were significant predictors of growth but only when both were incorporated, and together explained a high proportion of species' growth variations (R

Indexed as

ForestsPlant LeavesTreesModels, BiologicalSpecies Specificityfunctional traitsleaf allocationleaf area indexleaf mass per arearelative growth ratestemperate deciduous foresttrait–performance relationships

Identifiers

PMID40944540
PMCPMC12432972

What OpenQuestion holds

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Registered trials

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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.