Evidence map›Paper›PMID 30151042›Full record

ArticleEvolutionary applications2018

Quantifying functional connectivity: The role of breeding habitat, abundance, and landscape features on range-wide gene flow in sage-grouse.

Jeffrey R Row, Kevin E Doherty, Todd B Cross, Michael K Schwartz, Sara J Oyler-McCance, Dave E Naugle, Steven T Knick, Bradley C Fedy

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 34 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Jeffrey R RowSchool of Environment, Resources and Sustainability University of Waterloo Waterloo ON Canada.ORCID 0000-0001-7155-8923
Kevin E DohertyU.S. Fish and Wildlife Service Lakewood CO USA.
Todd B CrossRocky Mountain Research Station USDA Forest Service National Genomics Center for Wildlife and Fish Conservation Missoula MT USA.
Michael K SchwartzRocky Mountain Research Station USDA Forest Service National Genomics Center for Wildlife and Fish Conservation Missoula MT USA.
Sara J Oyler-McCanceFort Collins Science Center U.S. Geological Survey Fort Collins CO USA.
Dave E NaugleCollege of Forestry and Conservation University of Montana Missoula MT USA.
Steven T KnickForest and Rangeland Ecosystem Science Center U.S. Geological Survey Boise ID USA.
Bradley C FedySchool of Environment, Resources and Sustainability University of Waterloo Waterloo ON Canada.
Rocky Mountain Research Station · USUnited States Geological Survey · USUniversity of Waterloo · CAUnited States Fish and Wildlife Service · USUniversity of Montana · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional connectivity, quantified using landscape genetics, can inform conservation through the identification of factors linking genetic structure to landscape mechanisms. We used breeding habitat metrics, landscape attributes, and indices of grouse abundance, to compare fit between structural connectivity and genetic differentiation within five long-established Sage-Grouse Management Zones (MZ) I-V using microsatellite genotypes from 6,844 greater sage-grouse (

Indexed as

dispersalgene flowgenetic differentiationgenetic diversityhabitat selection modelsisolation by resistancelandscape resistance

Identifiers

PMID30151042
PMCPMC6099827
OpenAlexW2793822153

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.