Evidence map›Paper›PMID 29387158›Full record

ArticleEvolutionary applications2018

Applying landscape genomic tools to forest management and restoration of Hawaiian koa (

Paul F Gugger, Christina T Liang, Victoria L Sork, Paul Hodgskiss, Jessica W Wright

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  9. Genome survey and genetic characterization ofFrontiers in plant science · 2023
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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

5 authors.

Paul F GuggerEcology and Evolutionary Biology University of California Los Angeles CA USA.ORCID 0000-0002-4464-8453
Christina T LiangUSDA Forest Service Pacific Southwest Research Station Hilo HI USA.
Victoria L SorkEcology and Evolutionary Biology University of California Los Angeles CA USA.
Paul HodgskissUSDA Forest Service Pacific Southwest Research Station Davis CA USA.
Jessica W WrightUSDA Forest Service Pacific Southwest Research Station Davis CA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and quantifying the importance of environmental variables in structuring population genetic variation can help inform management decisions for conservation, restoration, or reforestation purposes, in both current and future environmental conditions. Landscape genomics offers a powerful approach for understanding the environmental factors that currently associate with genetic variation, and given those associations, where populations may be most vulnerable under future environmental change. Here, we applied genotyping by sequencing to generate over 11,000 single nucleotide polymorphisms from 311 trees and then used nonlinear, multivariate environmental association methods to examine spatial genetic structure and its association with environmental variation in an ecologically and economically important tree species endemic to Hawaii,

Indexed as

Acacia koaclimate changegeneralized dissimilarity modelinggenotype–environment associationgenotyping by sequencinggradient forestHawaiilandscape genomics

Identifiers

PMID29387158
PMCPMC5775490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.