Evidence map›Paper›PMID 42316905›Full record

ArticleThe New phytologist2026

Eco-evolutionary context modifies a destructive plant invader's response to climate.

Megan L Vahsen, Justin J Van Ee, Diana Gamba, Toby M Maxwell, Nikki Pirtel, Seth J Romero, David T Barnett, Owen Baughman, David J Ensing, Richard Gill and 20 more

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

30 authors.

Megan L VahsenDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID https://orcid.org/0000-0002-8226-6878
Justin J Van EeDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, 80526, USA.ORCID https://orcid.org/0000-0002-1305-6922
Diana GambaDepartment of Biology, Pennsylvania State University, University Park, PA, 16802, USA.ORCID https://orcid.org/0000-0002-0421-6437
Toby M MaxwellU.S. Geological Survey, Forest, Rangeland and Ecosystem Science Center, Boise, ID, 83702, USA.ORCID https://orcid.org/0000-0001-5171-0705
Nikki PirtelDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.
Seth J RomeroDepartment of Biology, University of Nevada, Reno, NV, 89509, USA.ORCID https://orcid.org/0009-0005-7819-142X
David T BarnettNational Ecological Observatory Network, Battelle, Boulder, CO, 80301, USA.ORCID https://orcid.org/0000-0002-0485-3567
David J EnsingSummerland Research and Development Centre, Agriculture and Agri-Food Canada, Summerland, BC, V0H 1Z0, Canada.ORCID https://orcid.org/0000-0003-2903-1209
Richard GillDepartment of Biology, Brigham Young University, Provo, UT, 84602, USA.
Martin C HoldregeDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID https://orcid.org/0000-0003-4078-6012
Ruth A HufbauerDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, 80526, USA.ORCID https://orcid.org/0000-0002-8270-0638
Rebecca HufftDenver Botanic Gardens, Denver, CO, 80206, USA.ORCID https://orcid.org/0000-0002-8404-2712
Chandra E MoffatSummerland Research and Development Centre, Agriculture and Agri-Food Canada, Summerland, BC, V0H 1Z0, Canada.ORCID https://orcid.org/0000-0002-0357-9922
Jacqueline OttRocky Mountain Research Station, Rapid City, SD, 57702, USA.ORCID https://orcid.org/0000-0001-7515-9874
Lysandra PyleAlberta Biodiversity Monitoring Institute, University of Alberta, Edmonton, AB, T6G 2E9, Canada.ORCID https://orcid.org/0000-0001-6922-3673
Corinne SchroederThe Nature Conservancy, Burns, OR, 97720, USA.
Eugene W SchuppDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID https://orcid.org/0000-0002-1258-503X
Robert K ShriverDepartment of Natural Resources and Environmental Science, University of Nevada, Reno, NV, 89557, USA.ORCID https://orcid.org/0000-0002-4590-4834
Michael StemkovskiDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID https://orcid.org/0000-0002-9854-887X
Amy J SymstadU.S. Geological Survey, Northern Prairie Wildlife Research Center, Hot Springs, SD, 57747, USA.ORCID https://orcid.org/0000-0003-4231-2873
Alexandra K UrzaUSDA Forest Service, Rocky Mountain Research Station, Reno, NV, 89512, USA.ORCID https://orcid.org/0000-0001-9795-6735
Dana M BlumenthalUSDA-ARS, Rangeland Resources & Systems Research Unit, Fort Collins, CO, 80526, USA.ORCID https://orcid.org/0000-0001-7496-0766
Cynthia BrownDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, 80526, USA.ORCID https://orcid.org/0000-0001-8486-7119
Matthew J GerminoU.S. Geological Survey, Forest, Rangeland and Ecosystem Science Center, Boise, ID, 83702, USA.ORCID https://orcid.org/0000-0001-6326-7579
Mevin B HootenDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, 78705, USA.ORCID https://orcid.org/0000-0002-1614-723X
Jesse R LaskyDepartment of Biology, Pennsylvania State University, University Park, PA, 16802, USA.ORCID https://orcid.org/0000-0001-7688-5296
Elizabeth A LegerDepartment of Biology, University of Nevada, Reno, NV, 89509, USA.ORCID https://orcid.org/0000-0003-0308-9496
Lauren M PorenskyUSDA-ARS, Rangeland Resources & Systems Research Unit, Fort Collins, CO, 80526, USA.ORCID https://orcid.org/0000-0001-6883-2442
Peter B AdlerDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID https://orcid.org/0000-0002-4216-4009

Funding

Division of Environmental Biology 1927009Division of Environmental Biology 1927177Division of Environmental Biology 1927282Division of Integrative Organismal Systems 2222525Rocky Mountain Research StationUSGS Biothreats and Invasive Species Research ProgramUtah Agricultural Experiment Station
6 · The paper itself

Abstract

Understanding the relationship between climate and fitness will be important when predicting how plant populations respond to climate change. We conducted a replicated common garden experiment (4 sites × 2 yr) with 96 genotypes (n = 22 492 individuals) of the invasive annual grass Bromus tectorum (cheatgrass) to understand how eco-evolutionary context mediates this important relationship. We grew genotypes in varying soil microclimate conditions by manipulating surface albedo, and at two planting densities. We calculated a 'climate mismatch' for each genotype within each microclimate to characterize the role of local adaptation to climate in explaining variation in fitness. Genotype-by-environment interactions increased the predictive accuracy of our statistical model of cheatgrass fitness with strong evidence for local adaptation to source climate. Survival responses to soil microclimate were density-dependent and there was stronger evidence for local adaptation at lower compared with higher planting density. Our model generally predicts increases in fitness with an increase in temperature across source populations. Important eco-evolutionary context (e.g. genotype-by-environment interactions, density dependence) should be considered when predicting plant fitness in an era of rapid environmental change.

Indexed as

Biological EvolutionBromusClimateIntroduced SpeciesAdaptation, PhysiologicalGenotypeMicroclimateModels, BiologicalSoilTemperatureSoilBromus tectorumclimate changedensity dependencegenotype‐by‐environment interactionsinvasive specieslocal adaptation

Identifiers

PMID42316905
PMCPMC13443356

What OpenQuestion holds

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LicenceCC BY-NC
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.