Evidence map›Paper›PMID 42871448›Full record

ArticleEvolutionary applications2026

Assessing Future Maladaptation Risk in the Keystone Species

Melanie Zacharias, Roos Goessen, Christian Wehenkel, Benjamin Marquis, Chen Ding, Fred Raley, Jerritt Nunneley, Nathalie Isabel, Ilga Porth

Abstract read
In one paragraph

Article in Evolutionary applications, 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

9 authors.

Melanie ZachariasInstitute for System and Integrated Biology (IBIS), Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-2551-2232
Roos GoessenInstitute for System and Integrated Biology (IBIS), Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-5568-2788
Christian WehenkelInstituto de Silvicultura e Industria de la Madera, Universidad Juarez del Estado de Durango Durango Mexico.ORCID https://orcid.org/0000-0002-2341-5458
Benjamin MarquisLaurentian Forest Centre, Canadian Forest Service, Natural Resources Canada Québec Québec Canada.ORCID https://orcid.org/0000-0001-5144-5147
Chen DingCollege of Forestry, Wildlife and Environment, Auburn University Auburn Alabama USA.ORCID https://orcid.org/0000-0003-2337-2299
Fred RaleyWestern Gulf Forest Tree Improvement Program, Texas A&M Forest Service College Station Texas USA.ORCID https://orcid.org/0009-0003-3929-4077
Jerritt NunneleyTexas Biomedical Research Institute San Antonio Texas USA.
Nathalie IsabelInstitute for System and Integrated Biology (IBIS), Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0001-8621-9801
Ilga PorthInstitute for System and Integrated Biology (IBIS), Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-9344-6348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the adaptive potential of widespread trees is critical for predicting species resilience under climate change and informing their conservation strategies. We assessed the genomic offset in

Identifiers

PMID42871448
PMCPMC13659280

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.