Evidence map›Paper›PMID 33245747›Full record

ArticleAnnals of botany2022

The acquisitive-conservative axis of leaf trait variation emerges even in homogeneous environments.

Lucas D Gorné, Sandra Díaz, Vanessa Minden, Yusuke Onoda, Koen Kramer, Christopher Muir, Sean T Michaletz, Sandra Lavorel, Joanne Sharpe, Steven Jansen and 3 more

Abstract read
In one paragraph

Article in Annals of botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Hybrids reveal accessible chromatinbioRxiv : the preprint server for biology · 2025
    Article
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  3. Plastic Responses ofPlants (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
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  7. Article
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  9. Intraspecific trait variation and changing life-history strategies explain host community disease risk along a temperature gradient.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  10. Article
  11. Review
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

13 authors.

Lucas D GornéUniversidad Nacional de Córdoba, Facultad de Ciencias Exactas Físicas y Naturales, Córdoba, Argentina.
Sandra DíazUniversidad Nacional de Córdoba, Facultad de Ciencias Exactas Físicas y Naturales, Córdoba, Argentina.
Vanessa MindenInstitute of Biology and Environmental Sciences, Landscape Ecology Group, University of Oldenburg, Oldenburg, Germany.
Yusuke OnodaDivision of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Oiwake, Kitashirakawa, Kyoto, Japan.
Koen KramerWageningen University & Research, Wageningen University, The Netherlands.
Christopher MuirDepartment of Botany, University of Hawai'i, Honolulu, HI, USA.
Sean T MichaletzDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
Sandra LavorelLaboratoire d'Ecologie Alpine, CNRS, Grenoble, France.
Joanne SharpeSharplex Services, Edgecomb, ME 04556, USA.
Steven JansenInstitute of Systematic Botany and Ecology, Ulm University, Ulm, Germany.
Martijn SlotSmithsonian Tropical Research Institute, Panama City, Republic of Panama.
Eduardo ChaconSchool of Biology, Universidad de Costa Rica, San José, Costa Rica.
Gerhard BoenischMax Planck Institute for Biogeochemistry, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe acquisitive-conservative axis of plant ecological strategies results in a pattern of leaf trait covariation that captures the balance between leaf construction costs and plant growth potential. Studies evaluating trait covariation within species are scarcer, and have mostly dealt with variation in response to environmental gradients. Little work has been published on intraspecific patterns of leaf trait covariation in the absence of strong environmental variation.

methodsWe analysed covariation of four leaf functional traits [specific leaf area (SLA) leaf dry matter content (LDMC), force to tear (Ft) and leaf nitrogen content (Nm)] in six Poaceae and four Fabaceae species common in the dry Chaco forest of Central Argentina, growing in the field and in a common garden. We compared intraspecific covariation patterns (slopes, correlation and effect size) of leaf functional traits with global interspecific covariation patterns. Additionally, we checked for possible climatic and edaphic factors that could affect the intraspecific covariation pattern. KEY

resultsWe found negative correlations for the LDMC-SLA, Ft-SLA, LDMC-Nm and Ft-Nm trait pairs. This intraspecific covariation pattern found both in the field and in the common garden and not explained by climatic or edaphic variation in the field follows the expected acquisitive-conservative axis. At the same time, we found quantitative differences in slopes among different species, and between these intraspecific patterns and the interspecific ones. Many of these differences seem to be idiosyncratic, but some appear consistent among species (e.g. all the intraspecific LDMC-SLA and LDMC-Nm slopes tend to be shallower than the global pattern).

conclusionsOur study indicates that the acquisitive-conservative leaf functional trait covariation pattern occurs at the intraspecific level even in the absence of relevant environmental variation in the field. This suggests a high degree of variation-covariation in leaf functional traits not driven by environmental variables.

Indexed as

ForestsNitrogenEcologyPhenotypePlant LeavesPoaceaeNitrogenacquisitive syndromecommon garden experimentconservative syndromeFabaceaeintraspecific trait variationleaf economics spectrumLeaf functional traitsPoaceae

Identifiers

PMID33245747
PMCPMC9113165

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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.