Evidence map›Paper›PMID 31226157›Full record

ArticlePloS one2019

Experimental evidence for species-dependent responses in leaf shape to temperature: Implications for paleoclimate inference.

Melissa L McKee, Dana L Royer, Helen M Poulos

Abstract read
In one paragraph

Article in PloS one, 2019. 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. Article
  2. Article
  3. WOX out, those teeth are sharp!Journal of experimental botany · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phenotypic Variation in European Wild Pear (Plants (Basel, Switzerland) · 2022
    Article
  10. Article
  11. 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

3 authors.

Melissa L McKeeDepartment of Earth and Environmental Sciences, Wesleyan University, Middletown, Connecticut, United States of America.
Dana L RoyerDepartment of Earth and Environmental Sciences, Wesleyan University, Middletown, Connecticut, United States of America.ORCID 0000-0003-0976-953X
Helen M PoulosCollege of the Environment, Wesleyan University, Middletown, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many woody dicot plant species, colder temperatures correlate with a greater degree of leaf dissection and with larger and more abundant leaf teeth (the serrated edges along margins). The measurement of site-mean characteristics of leaf size and shape (physiognomy), including leaf dissection and tooth morphology, has been an important paleoclimate tool for over a century. These physiognomic-based climate proxies require that all woody dicot plants at a site, regardless of species, change their leaf shape rapidly and predictably in response to temperature. Here we experimentally test these assumptions by growing five woody species in growth cabinets under two temperatures (17 and 25°C). In keeping with global site-based patterns, plants tend to develop more dissected leaves with more abundant and larger leaf teeth in the cool treatment. Overall, this upholds the assumption that leaf shape responds in a particular direction to temperature change. The assumption that leaf shape variables respond to temperature in the same way regardless of species did not hold because the responses varied by species. Leaf physiognomic models for inferring paleoclimate should take into account these species-specific responses.

Indexed as

AcerBetulaBetulaceaeClimateCold TemperatureHot TemperaturePlant LeavesQuercusSeedsSpecies Specificity

Identifiers

PMID31226157
PMCPMC6588257

What OpenQuestion holds

Textmetadata
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.