Evidence map›Paper›PMID 32053614›Full record

ArticlePloS one2020

Intraspecific perspective of phenotypic coordination of functional traits in Scots pine.

Bárbara Carvalho, Cristina C Bastias, Adrián Escudero, Fernando Valladares, Raquel Benavides

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Bárbara CarvalhoDepartamento Biogeografía y Cambio Global, LINCGlobal, Museo Nacional de Ciencias Naturales, (MNCN-CSIC), Madrid, Spain.ORCID 0000-0002-4129-2746
Cristina C BastiasDepartamento Biogeografía y Cambio Global, LINCGlobal, Museo Nacional de Ciencias Naturales, (MNCN-CSIC), Madrid, Spain.
Adrián EscuderoÁrea de Biodiversidad y Conservación, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain.
Fernando ValladaresDepartamento Biogeografía y Cambio Global, LINCGlobal, Museo Nacional de Ciencias Naturales, (MNCN-CSIC), Madrid, Spain.
Raquel BenavidesDepartamento Biogeografía y Cambio Global, LINCGlobal, Museo Nacional de Ciencias Naturales, (MNCN-CSIC), Madrid, Spain.
Universidad Rey Juan Carlos · ESMuseo Nacional de Ciencias Naturales · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional traits have emerged as a key to understand species responses to environmental conditions. The concerted expression of multiple traits gives rise to the phenotype of each individual, which is the one interacting with the environment and evolving. However, patterns of trait covariation and how they vary in response to environmental conditions remain poorly understood, particularly at the intraspecific scale. Here, we have measured traits at different scales and in different organs, and analysed their covariation in a large number of conspecifics distributed in two contrasting environments. We expected significant correlations among traits, not only within clusters of traits as found in global, multispecies studies, but also among clusters, with more relationships within clusters, due to genetic constraints, and among clusters due to more coordinated phenotypes than community level, multispecies studies. We surveyed 100 Pinus sylvestris trees in a Mediterranean mountainous area distributed in two contrasting elevations. We measured 13 functional traits, in three clusters (leaf, stem and whole-plant traits), and analysed their variation and coordination. We found significant coordination among traits belonging to different clusters that reveals coordinated phenotypes. However, we found fewer correlations within trait clusters than initially expected. Trait correlation structures (number, intensity and type of correlations among traits) differed among individuals at different elevations. We observed more correlations within trait clusters at low elevation compared to those at high elevation. Moreover, the higher number of correlations among different trait clusters and the lower trait variation at the higher elevation suggests that variability decreases under more stressful conditions. Altogether, our results reveal that traits at intraspecific scale are coordinated in a broad network and not only within clusters of traits but also that this trait covariation is significantly affected by environmental conditions.

Indexed as

AltitudeEcosystemBiological Variation, IndividualOrgan SizePhenotypePinus sylvestrisPlant LeavesPlant StemsSpainTrees

Identifiers

PMID32053614
PMCPMC7018023
OpenAlexW3005930576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.