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Multi-species genetic connectivity in a terrestrial habitat network

Overview of attention for article published in Movement Ecology, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Multi-species genetic connectivity in a terrestrial habitat network
Published in
Movement Ecology, October 2017
DOI 10.1186/s40462-017-0112-2
Pubmed ID
Authors

Robby R. Marrotte, Jeff Bowman, Michael G.C. Brown, Chad Cordes, Kimberley Y. Morris, Melanie B. Prentice, Paul J. Wilson

Abstract

Habitat fragmentation reduces genetic connectivity for multiple species, yet conservation efforts tend to rely heavily on single-species connectivity estimates to inform land-use planning. Such conservation activities may benefit from multi-species connectivity estimates, which provide a simple and practical means to mitigate the effects of habitat fragmentation for a larger number of species. To test the validity of a multi-species connectivity model, we used neutral microsatellite genetic datasets of Canada lynx (Lynx canadensis), American marten (Martes americana), fisher (Pekania pennanti), and southern flying squirrel (Glaucomys volans) to evaluate multi-species genetic connectivity across Ontario, Canada. We used linear models to compare node-based estimates of genetic connectivity for each species to point-based estimates of landscape connectivity (current density) derived from circuit theory. To our knowledge, we are the first to evaluate current density as a measure of genetic connectivity. Our results depended on landscape context: habitat amount was more important than current density in explaining multi-species genetic connectivity in the northern part of our study area, where habitat was abundant and fragmentation was low. In the south however, where fragmentation was prevalent, genetic connectivity was correlated with current density. Contrary to our expectations however, locations with a high probability of movement as reflected by high current density were negatively associated with gene flow. Subsequent analyses of circuit theory outputs showed that high current density was also associated with high effective resistance, underscoring that the presence of pinch points is not necessarily indicative of gene flow. Overall, our study appears to provide support for the hypothesis that landscape pattern is important when habitat amount is low. We also conclude that while current density is proportional to the probability of movement per unit area, this does not imply increased gene flow, since high current density tends to be a result of neighbouring pixels with high cost of movement (e.g., low habitat amount). In other words, pinch points with high current density appear to constrict gene flow.

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X Demographics

The data shown below were collected from the profiles of 19 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Student > Master 24 16%
Researcher 20 14%
Student > Bachelor 10 7%
Other 9 6%
Other 16 11%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 34%
Environmental Science 37 25%
Biochemistry, Genetics and Molecular Biology 11 8%
Earth and Planetary Sciences 3 2%
Engineering 2 1%
Other 10 7%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 April 2021.
All research outputs
#3,010,762
of 23,630,563 outputs
Outputs from Movement Ecology
#128
of 331 outputs
Outputs of similar age
#57,538
of 324,331 outputs
Outputs of similar age from Movement Ecology
#5
of 6 outputs
Altmetric has tracked 23,630,563 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 324,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.