ArticleEvolutionary applications2026
Landscape Genomic Analyses of
Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Meeting Report on the Assisted Gene Flow and Climate Change Responses Workshop, Golden Gate National Recreation Area, CA, USA, 5-7 March 2025.Evolutionary applications · 2026Article
- Landscape Genomic Tools Can Inform Future Rootstock and Farmland Selection for an Agricultural Tree Nut From Its Wild Relatives.Molecular ecology · 2026Article
- Applying Both Landscape Genomic and Ecological Niche Model Predictions to Inform Conservation Strategies of a California Foundational Oak Species.Molecular ecology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Habitat destruction and climate change are two primary drivers of global biodiversity loss. Many contemporary ecological preserves and preserve networks are designed to protect species and the ecological and evolutionary processes that will maintain future biodiversity. However, it is challenging to identify where to locate preserves and how to manage them to meet these goals. One emerging conservation tool is landscape genomics, which allows us to identify populations that may be maladapted to future climate and thereby helps prioritize areas for acquisition (areas of high adaptedness), restoration (areas of low adaptedness), and management. Here, using whole genome sequence data of 171 adult trees, we studied the climate adaptedness of California populations of coast live oak (
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Registered trials
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.