Evidence map›Paper›PMID 33519963›Full record

ArticleEvolutionary applications2021

Dispersal ability predicts spatial genetic structure in native mammals persisting across an urbanization gradient.

Jonathan L Richardson, Sozos Michaelides, Matthew Combs, Mihajla Djan, Lianne Bisch, Kerry Barrett, Georgianna Silveira, Justin Butler, Than Thar Aye, Jason Munshi-South and 3 more

Open access · goldAbstract 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 9 institutions in 2 countries.

Jonathan L RichardsonDepartment of Biology University of Richmond Richmond VA USA.ORCID https://orcid.org/0000-0002-3701-2115
Sozos MichaelidesDepartment of Natural Resources Science University of Rhode Island Kingston RI USA.
Matthew CombsEcology, Evolution and Environmental Biology Department Columbia University New York NY USA.ORCID https://orcid.org/0000-0003-1928-2485
Mihajla DjanDepartment of Natural Resources Science University of Rhode Island Kingston RI USA.
Lianne BischDepartment of Biology Providence College Providence RI USA.
Kerry BarrettDepartment of Biology Providence College Providence RI USA.
Georgianna SilveiraHealth and Human Services Department City of Somerville Somerville MA USA.
Justin ButlerDepartment of Biology University of Richmond Richmond VA USA.
Than Thar AyeDepartment of Biology University of Richmond Richmond VA USA.
Jason Munshi-SouthDepartment of Biological Sciences Fordham University Bronx NY USA.ORCID https://orcid.org/0000-0002-8067-4341
Michael DiMatteoState Health Laboratory Rhode Island Department of Health Providence RI USA.
Charles BrownDivision of Fish & Wildlife Rhode Island Department of Environmental Management West Kingston RI USA.
Thomas J McGreevyDepartment of Natural Resources Science University of Rhode Island Kingston RI USA.ORCID https://orcid.org/0000-0002-8542-4210
University of Richmond · USProvidence College · USUniversity of Rhode Island · USColumbia University · USFordham University · USRhode Island Department of Environmental Management · USRhode Island Department of Health · USSomerville Hospital · USUniversity of Novi Sad · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the rate of urbanization continues to increase globally, a growing body of research is emerging that investigates how urbanization shapes the movement-and consequent gene flow-of species in cities. Of particular interest are native species that persist in cities, either as small relict populations or as larger populations of synanthropic species that thrive alongside humans in new urban environments. In this study, we used genomic sequence data (SNPs) and spatially explicit individual-based analyses to directly compare the genetic structure and patterns of gene flow in two small mammals with different dispersal abilities that occupy the same urbanized landscape to evaluate how mobility impacts genetic connectivity. We collected 215 white-footed mice (

Indexed as

gene flowgenetic structurelandscape geneticspanmixiarestriction site‐associated DNAsmall mammalssynanthropicurban evolution

Identifiers

PMID33519963
PMCPMC7819555
OpenAlexW3087173124

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.