ArticleMolecular ecology resources2025
Sampling effect in predicting the evolutionary response of populations to climate change.
Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- How Robust Are Genomic Offset Predictions to Methodological Choices? Insights From Perennial Ryegrass.Molecular ecology · 2026Article
- Genomics and genetic rescue.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Defining Conservation Units in a Highly Diverse Species: A Case on Arctic Charr.Evolutionary applications · 2026Article
- Genomic signatures of local adaptation to precipitation and solar radiation in kiwifruit.Plant diversity · 2025Article
- Sampling effect in predicting the evolutionary response of populations to climate change.Molecular ecology resources · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Genomic data and machine learning approaches have gained interest due to their potential to identify adaptive genetic variation across populations and to assess species vulnerability to climate change. By identifying gene-environment associations for putatively adaptive loci, these approaches project changes to adaptive genetic composition as a function of future climate change (genetic offsets), which are interpreted as measuring the future maladaptation of populations due to climate change. In principle, higher genetic offsets relate to increased population vulnerability and therefore can be used to set priorities for conservation and management. However, it is not clear how sensitive these metrics are to the intensity of population and individual sampling. Here, we use five genomic datasets with varying numbers of SNPs (N
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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.