Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A comparison of individual-based genetic distance metrics for landscape genetics.

Molecular ecology resources - 1 Nov 2017

Shirk A J, Landguth E L, Cushman S A

Abstract excerpt

A major aim of landscape genetics is to understand how landscapes resist gene flow and thereby influence population genetic structure. An empirical understanding of this process provides a wealth of information that can be used to guide conservation and management of species in fragmented landscapes and also to predict how landscape change may affect population viability. Statistical approaches to infer the true...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biostatistics
Share to Computational Biology
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genetics, Population

Share to Models, Genetic

Source

Identifiers

PMID: 28449317
DOI: 10.1111/1755-0998.12684

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A comparison of individual-based genetic distance metrics for landscape genetics.PMID 28449317Read ↗

Performance of partial statistics in individual-based landscape genetics.Semantic proximity Read ↗

Genomic Data Describe Population Structure but Struggle to Estimate Directed Connectivity Networks.Semantic proximity Read ↗

Optimizing the trade-off between spatial and genetic sampling efforts in patchy populations: towards a better assessment of functional connectivity using an individual-based sampling scheme.Semantic proximity Read ↗

Landscape modelling of gene flow: improved power using conditional genetic distance derived from the topology of population networks.Semantic proximity Read ↗

Inference and analysis of population structure using genetic data and network theorySemantic proximity Read ↗

Microsatellite data analysis for population genetics.Semantic proximity Read ↗

When genetic distance matters: Measuring genetic differentiation at microsatellite loci in whole-genome scans of recent and incipient mosquito speciesSemantic proximity Read ↗

Quantifying genetic diversity: the starting point for population genetic studies using molecular markers.Semantic proximity Read ↗

Testing the role of ecology and life history in structuring genetic variation across a landscape: a trait-based phylogeographic approach.Semantic proximity Read ↗

Modelling multilocus selection in an individual-based, spatially-explicit landscape genetics framework.Semantic proximity Read ↗

Evaluating methods to visualize patterns of genetic differentiation on a landscape.Semantic proximity Read ↗

Estimates of genetic differentiation measured by F(ST) do not necessarily require large sample sizes when using many SNP markers.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.