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Genetic structure among greater white‐fronted goose populations of the Pacific Flyway

Overview of attention for article published in Ecology and Evolution, March 2017
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Title
Genetic structure among greater white‐fronted goose populations of the Pacific Flyway
Published in
Ecology and Evolution, March 2017
DOI 10.1002/ece3.2934
Pubmed ID
Authors

Craig R. Ely, Robert E. Wilson, Sandra L. Talbot

Abstract

An understanding of the genetic structure of populations in the wild is essential for long-term conservation and stewardship in the face of environmental change. Knowledge of the present-day distribution of genetic lineages (phylogeography) of a species is especially important for organisms that are exploited or utilize habitats that may be jeopardized by human intervention, including climate change. Here, we describe mitochondrial (mtDNA) and nuclear genetic (microsatellite) diversity among three populations of a migratory bird, the greater white-fronted goose (Anser albifrons), which breeds discontinuously in western and southwestern Alaska and winters in the Pacific Flyway of North America. Significant genetic structure was evident at both marker types. All three populations were differentiated for mtDNA, whereas microsatellite analysis only differentiated geese from the Cook Inlet Basin. In sexual reproducing species, nonrandom mate selection, when occurring in concert with fine-scale resource partitioning, can lead to phenotypic and genetic divergence as we observed in our study. If mate selection does not occur at the time of reproduction, which is not uncommon in long-lived organisms, then mechanisms influencing the true availability of potential mates may be obscured, and the degree of genetic and phenotypic diversity may appear incongruous with presumed patterns of gene flow. Previous investigations revealed population-specific behavioral, temporal, and spatial mechanisms that likely influence the amount of gene flow measured among greater white-fronted goose populations. The degree of observed genetic structuring aligns well with our current understanding of population differences pertaining to seasonal movements, social structure, pairing behavior, and resource partitioning.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Researcher 7 18%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 2 5%
Student > Postgraduate 2 5%
Other 3 8%
Unknown 13 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 4 11%
Social Sciences 2 5%
Chemistry 1 3%
Other 0 0%
Unknown 15 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Ecology and Evolution
#6,892
of 8,478 outputs
Outputs of similar age
#234,814
of 322,842 outputs
Outputs of similar age from Ecology and Evolution
#179
of 221 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.