Evidence map›Paper›PMID 34025760›Full record

ArticleEvolutionary applications2021

Prospects and limitations of genomic offset in conservation management.

Christian Rellstab, Benjamin Dauphin, Moises Exposito-Alonso

Abstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  17. Landscape Genomic Analyses ofEvolutionary applications · 2026
    Article
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16 more citing papers are in PubMed but not listed here.

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.

Christian RellstabSwiss Federal Research Institute WSL Birmensdorf Switzerland.ORCID https://orcid.org/0000-0002-0221-5975
Benjamin DauphinSwiss Federal Research Institute WSL Birmensdorf Switzerland.ORCID https://orcid.org/0000-0003-0982-4252
Moises Exposito-AlonsoDepartment of Plant Biology Carnegie Institution for Science Stanford CA USA.ORCID https://orcid.org/0000-0001-5711-0700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In nature conservation, there is keen interest in predicting how populations will respond to environmental changes such as climate change. These predictions can help determine whether a population can be self-sustaining under future alterations of its habitat or whether it may require human intervention such as protection, restoration, or assisted migration. An increasingly popular approach in this respect is the concept of genomic offset, which combines genomic and environmental data from different time points and/or locations to assess the degree of possible maladaptation to new environmental conditions. Here, we argue that the concept of genomic offset holds great potential, but an exploration of its risks and limitations is needed to use it for recommendations in conservation or assisted migration. After briefly describing the concept, we list important issues to consider (e.g., statistical frameworks, population genetic structure, migration, independent evidence) when using genomic offset or developing these methods further. We conclude that genomic offset is an area of development that still lacks some important features and should be used in combination with other approaches to inform conservation measures.

Indexed as

assisted migrationconservation managementgenomic offsetgenomic vulnerabilitylocal adaptationpredictive genomics

Identifiers

PMID34025760
PMCPMC8127717

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LicenceCC BY
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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.