Evidence map›Paper›PMID 29087942›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

Jeffrey O Hanson, Jonathan R Rhodes, Cynthia Riginos, Richard A Fuller

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  13. Evaluating surrogates of genetic diversity for conservation planning.Conservation biology : the journal of the Society for Conservation Biology · 2021
    Article
  14. Crop wild relatives of the United States require urgent conservation action.Proceedings of the National Academy of Sciences of the United States of America · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jeffrey O HansonSchool of Biological Sciences, The University of Queensland, Brisbane, QLD 4072, Australia; jeffrey.hanson@uqconnect.edu.au.ORCID 0000-0002-4716-6134
Jonathan R RhodesSchool of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.
Cynthia RiginosSchool of Biological Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.
Richard A FullerSchool of Biological Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representing adaptive and neutral intraspecific genetic variation. We obtained occurrence and genetic data from the IntraBioDiv project for 27 plant species collected over the European Alps using a gridded sampling scheme. For each species, we identified loci that were potentially under selection using outlier loci methods, and mapped their main gradients of adaptive and neutral genetic variation across the grid cells. We then used the cells as planning units to prioritize protected area acquisitions. First, we verified that the spatial patterns of environmental and geographic variation were correlated, respectively, with adaptive and neutral genetic variation. Second, we showed that these surrogates can predict the proportion of genetic variation secured in randomly generated solutions. Finally, we discovered that solutions based only on surrogate information secured substantial amounts of adaptive and neutral genetic variation. Our work paves the way for widespread integration of surrogates for genetic variation into conservation planning.

Indexed as

Genetic VariationModels, GeneticAdaptation, BiologicalAltitudeBiodiversityConservation of Natural ResourcesEuropePlantsRefugiumAFLPalpine plantsbiodiversityconservationgenetic diversity

Identifiers

PMID29087942
PMCPMC5715761

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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.