Evidence map›Paper›PMID 38905242›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Community assembly influences plant trait economic spectra and functional trade-offs at ecosystem scales.

William R L Anderegg, Jordi Martinez-Vilalta, Maurizio Mencuccini, Rafael Poyatos

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Community assembly influences plant trait economic spectra and functional trade-offs at ecosystem scales.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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.

William R L AndereggWilkes Center for Climate Science and Policy, University of Utah, Salt Lake City, UT 84103.ORCID 0000-0001-6551-3331
Jordi Martinez-VilaltaEcological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.ORCID 0000-0002-2332-7298
Maurizio MencucciniEcological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.ORCID 0000-0003-0840-1477
Rafael PoyatosEcological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.ORCID 0000-0003-0521-2523

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca de Catalunya 2021 SGR 00849Alexander von Humboldt-Stiftung (AvH) NADavid and Lucille Packard Foundation NAInstitució Catalana de Recerca i Estudis Avançats (ICREA) NAMinisterio de Ciencia e Innovación (MCIN) RTI2018-095297-J-I00US National Science Foundation 1802880 2003017 2044937 and Alan T. Waterman Award IOS-2325700
6 · The paper itself

Abstract

Plant functional traits hold the potential to greatly improve the understanding and prediction of climate impacts on ecosystems and carbon cycle feedback to climate change. Traits are commonly used to place species along a global conservative-acquisitive trade-off, yet how and if functional traits and conservative-acquisitive trade-offs scale up to mediate community and ecosystem fluxes is largely unknown. Here, we combine functional trait datasets and multibiome datasets of forest water and carbon fluxes at the species, community, and ecosystem-levels to quantify the scaling of the tradeoff between maximum flux and sensitivity to vapor pressure deficit. We find a strong conservative-acquisitive trade-off at the species scale, which weakens modestly at the community scale and largely disappears at the ecosystem scale. Functional traits, particularly plant water transport (hydraulic) traits, are strongly associated with the key dimensions of the conservative-acquisitive trade-off at community and ecosystem scales, highlighting that trait composition appears to influence community and ecosystem flux dynamics. Our findings provide a foundation for improving carbon cycle models by revealing i) that plant hydraulic traits are most strongly associated with community- and ecosystem scale flux dynamics and ii) community assembly dynamics likely need to be considered explicitly, as they give rise to ecosystem-level flux dynamics that differ substantially from trade-offs identified at the species-level.

Indexed as

Carbon CycleClimate ChangeEcosystemForestsPlantsWaterWatercarbon cycleClimate changeclimate extremesfunctional traits

Identifiers

PMID38905242
PMCPMC11214073

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.