Evidence map›Paper›PMID 29942458›Full record

ArticleAoB PLANTS2018

Functional acclimation across microgeographic scales in

Zdravko Baruch, Alice R Jones, Kathryn E Hill, Francesca A McInerney, Colette Blyth, Stefan Caddy-Retalic, Matthew J Christmas, Nicholas J C Gellie, Andrew J Lowe, Irene Martin-Fores and 2 more

Abstract read
In one paragraph

Article in AoB PLANTS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Zdravko BaruchSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Alice R JonesSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Kathryn E HillSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Francesca A McInerneySprigg Geobiology Centre and School of Physical Sciences, University of Adelaide, Adelaide, SA, Australia.
Colette BlythSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Stefan Caddy-RetalicSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Matthew J ChristmasSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Nicholas J C GellieSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Andrew J LoweSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Irene Martin-ForesSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.
Kristine E NielsonSprigg Geobiology Centre and School of Physical Sciences, University of Adelaide, Adelaide, SA, Australia.
Martin F BreedSchool of Biological Sciences and the Environment Institute, University of Adelaide, North Terrace, Adelaide, SA, Australia.ORCID 0000-0001-7810-9696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraspecific plant functional trait variation provides mechanistic insight into persistence and can infer population adaptive capacity. However, most studies explore intraspecific trait variation in systems where geographic and environmental distances co-vary. Such a design reduces the certainty of trait-environment associations, and it is imperative for studies that make trait-environment associations be conducted in systems where environmental distance varies independently of geographic distance. Here we explored trait variation in such a system, and aimed to: (i) quantify trait variation of parent and offspring generations, and associate this variation to parental environments; (ii) determine the traits which best explain population differences; (iii) compare parent and offspring trait-trait relationships. We characterized 15 plant functional traits in eight populations of a shrub with a maximum separation ca. 100 km. Populations differed markedly in aridity and elevation, and environmental distance varied independently of geographic distance. We measured traits in parent populations collected in the field, as well as their offspring reared in greenhouse conditions. Parent traits regularly associated with their environment. These associations were largely lost in the offspring generation, indicating considerable phenotypic plasticity. An ordination of parent traits showed clear structure with strong influence of leaf area, specific leaf area, stomatal traits, isotope δ

Indexed as

Adaptive capacitycommon garden experimentfunctional traitsmicrogeographyplasticityshrubsSouth Australia

Identifiers

PMID29942458
PMCPMC6007226

What OpenQuestion holds

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Registered trials

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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.