Evidence map›Paper›PMID 32489616›Full record

ArticleEcology and evolution2020

Intraspecific trait variation across elevation predicts a widespread tree species' climate niche and range limits.

Michael E Van Nuland, John B Vincent, Ian M Ware, Liam O Mueller, Shannon L J Bayliss, Kendall K Beals, Jennifer A Schweitzer, Joseph K Bailey

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A species' response to spatial climatic variation does not predict its response to climate change.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Distinct Cold Acclimation of Productivity Traits inInternational journal of molecular sciences · 2022
    Review
  7. Article
  8. 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

8 authors.

Michael E Van NulandDepartment of Biology Stanford University Stanford CA USA.ORCID https://orcid.org/0000-0002-3333-0212
John B VincentSchool of Environmental and Forest Sciences University of Washington Seattle WA USA.
Ian M WareInstitute of Pacific Islands Forestry USDA Forest Service Pacific Southwest Research Station Hilo HI USA.ORCID https://orcid.org/0000-0002-2101-5653
Liam O MuellerDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.
Shannon L J BaylissDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.
Kendall K BealsDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.
Jennifer A SchweitzerDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.
Joseph K BaileyDepartment of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global change is widely altering environmental conditions which makes accurately predicting species range limits across natural landscapes critical for conservation and management decisions. If climate pressures along elevation gradients influence the distribution of phenotypic and genetic variation of plant functional traits, then such trait variation may be informative of the selective mechanisms and adaptations that help define climatic niche limits. Using extensive field surveys along 16 elevation transects and a large common garden experiment, we tested whether functional trait variation could predict the climatic niche of a widespread tree species (

Indexed as

adaptationclimate rangeecological niche modelselevation gradientfunctional traitsintraspecific variationphenotypic plasticityquantile regression

Identifiers

PMID32489616
PMCPMC7244802

What OpenQuestion holds

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LicenceCC BY
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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.