↓ Skip to main content

How spatio-temporal habitat connectivity affects amphibian genetic structure

Overview of attention for article published in Frontiers in Genetics, September 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
134 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How spatio-temporal habitat connectivity affects amphibian genetic structure
Published in
Frontiers in Genetics, September 2015
DOI 10.3389/fgene.2015.00275
Pubmed ID
Authors

Alexander G. Watts, Peter E. Schlichting, Shawn M. Billerman, Brett R. Jesmer, Steven Micheletti, Marie-Josée Fortin, W. Chris Funk, Paul Hapeman, Erin Muths, Melanie A. Murphy

Abstract

Heterogeneous landscapes and fluctuating environmental conditions can affect species dispersal, population genetics, and genetic structure, yet understanding how biotic and abiotic factors affect population dynamics in a fluctuating environment is critical for species management. We evaluated how spatio-temporal habitat connectivity influences dispersal and genetic structure in a population of boreal chorus frogs (Pseudacris maculata) using a landscape genetics approach. We developed gravity models to assess the contribution of various factors to the observed genetic distance as a measure of functional connectivity. We selected (a) wetland (within-site) and (b) landscape matrix (between-site) characteristics; and (c) wetland connectivity metrics using a unique methodology. Specifically, we developed three networks that quantify wetland connectivity based on: (i) P. maculata dispersal ability, (ii) temporal variation in wetland quality, and (iii) contribution of wetland stepping-stones to frog dispersal. We examined 18 wetlands in Colorado, and quantified 12 microsatellite loci from 322 individual frogs. We found that genetic connectivity was related to topographic complexity, within- and between-wetland differences in moisture, and wetland functional connectivity as contributed by stepping-stone wetlands. Our results highlight the role that dynamic environmental factors have on dispersal-limited species and illustrate how complex asynchronous interactions contribute to the structure of spatially-explicit metapopulations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 130 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 22%
Student > Ph. D. Student 27 20%
Researcher 16 12%
Student > Doctoral Student 11 8%
Student > Bachelor 8 6%
Other 23 17%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 42%
Environmental Science 35 26%
Biochemistry, Genetics and Molecular Biology 8 6%
Earth and Planetary Sciences 4 3%
Veterinary Science and Veterinary Medicine 1 <1%
Other 2 1%
Unknown 28 21%
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 24 November 2015.
All research outputs
#15,345,593
of 22,826,360 outputs
Outputs from Frontiers in Genetics
#5,436
of 11,815 outputs
Outputs of similar age
#156,745
of 267,498 outputs
Outputs of similar age from Frontiers in Genetics
#42
of 64 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,815 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.