Evidence map›Paper›PMID 27099710›Full record

ArticleEcology and evolution2016

Tolerance to multiple climate stressors: a case study of Douglas-fir drought and cold hardiness.

Sheel Bansal, Constance A Harrington, John Bradley St Clair

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

3 authors.

Sheel BansalPacific Northwest Research Station USDA-Forest Service 3625 93rd Avenue SW Olympia Washington 98512.
Constance A HarringtonPacific Northwest Research Station USDA-Forest Service 3625 93rd Avenue SW Olympia Washington 98512.
John Bradley St ClairPacific Northwest Research Station USDA-Forest Service 3200 SW Jefferson Way Corvallis Oregon 97331.ORCID 0000-0003-4647-1070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought and freeze events are two of the most common forms of climate extremes which result in tree damage or death, and the frequency and intensity of both stressors may increase with climate change. Few studies have examined natural covariation in stress tolerance traits to cope with multiple stressors among wild plant populations.We assessed the capacity of coastal Douglas-fir (Pseudotsuga menziesii var. menziesii), an ecologically and economically important species in the northwestern USA, to tolerate both drought and cold stress on 35 populations grown in common gardens. We used principal components analysis to combine drought and cold hardiness trait data into generalized stress hardiness traits to model geographic variation in hardiness as a function of climate across the Douglas-fir range.Drought and cold hardiness converged among populations along winter temperature gradients and diverged along summer precipitation gradients. Populations originating in regions with cold winters had relatively high tolerance to both drought and cold stress, which is likely due to overlapping adaptations for coping with winter desiccation. Populations from regions with dry summers had increased drought hardiness but reduced cold hardiness, suggesting a trade-off in tolerance mechanisms.Our findings highlight the necessity to look beyond bivariate trait-climate relationships and instead consider multiple traits and climate variables to effectively model and manage for the impacts of climate change on widespread species.

Indexed as

Abiotic stressclimate changecommon gardengenetic variationPacific Northwestprecipitation gradientprincipal components analysisPseudotsuga menziesiitemperature gradient

Identifiers

PMID27099710
PMCPMC4831441

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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.