Evidence map›Paper›PMID 30209223›Full record

ArticleProceedings. Biological sciences2018

Nonlinear averaging of thermal experience predicts population growth rates in a thermally variable environment.

Joey R Bernhardt, Jennifer M Sunday, Patrick L Thompson, Mary I O'Connor

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Joey R BernhardtDepartment of Zoology, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4 joey.bernhardt@biodiversity.ubc.ca.ORCID 0000-0003-1824-2801
Jennifer M SundayDepartment of Zoology, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.
Patrick L ThompsonDepartment of Zoology, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.ORCID 0000-0002-5278-9045
Mary I O'ConnorDepartment of Zoology, Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.ORCID 0000-0001-9583-1592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As thermal regimes change worldwide, projections of future population and species persistence often require estimates of how population growth rates depend on temperature. These projections rarely account for how temporal variation in temperature can systematically modify growth rates relative to projections based on constant temperatures. Here, we tested the hypothesis that time-averaged population growth rates in fluctuating thermal environments differ from growth rates in constant conditions as a consequence of Jensen's inequality, and that the thermal performance curves (TPCs) describing population growth in fluctuating environments can be predicted quantitatively based on TPCs generated in constant laboratory conditions. With experimental populations of the green alga

Indexed as

Climate ChangeEnvironmentTemperatureChlorophytaModels, BiologicalPopulation GrowthJensen's inequalityphytoplanktonpopulation growthscale transition theorythermal variability

Identifiers

PMID30209223
PMCPMC6158538

What OpenQuestion holds

Textmetadata
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.