Evidence map›Paper›PMID 30848353›Full record

ArticleOecologia2019

Species-specific trait-environment relationships among populations of widespread grass species.

Carla M Roybal, Bradley J Butterfield

Abstract read
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Article in Oecologia, 2019. 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.

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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

2 authors.

Carla M RoybalMerriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA. cr344@nau.edu.
Bradley J ButterfieldMerriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraspecific trait variation can be substantial and is driven by many factors. To develop predictive models of intraspecific trait variation, an understanding of the drivers of that variation is essential. At fairly broad scales, differences in the environment are expected to drive genetic variation in functional traits among populations. To isolate this genetic variability, we conducted a greenhouse common garden experiment using nine grass species native to the western United States. We assessed relationships between several root, leaf, and whole plant traits and a number of environmental conditions from the source population locations, including aspects of temperature, precipitation, vapor pressure deficit and soil moisture. We tested the hypotheses that (1) above- and belowground functional traits vary significantly within and among species, and (2) trait-environment relationships among populations of a species are consistent among species. First, we found that trait variation between species ranged from 13 to 77%, while trait variation within species ranged from 11 to nearly 39%. Traits related to overall plant size and growth rate exhibited the greatest intraspecific variation, and root traits the least variation. Second, while we found significant trait-environment relationships, they were highly variable among species. The magnitude of intraspecific trait variability found in this study indicates significant local adaptation with respect to specific trait-environment combinations, but that characterizing trait-environment relationships requires species-specific measurements and models.

Indexed as

Plant LeavesPoaceaePhenotypeSoilSpecies SpecificitySoilBelowground traitsFunctional traitIntraspecific trait variationPoaceaeTrait–environment correlations

Identifiers

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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.