Evidence map›Paper›PMID 29043084›Full record

ArticleMovement ecology2017

Multi-species genetic connectivity in a terrestrial habitat network.

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

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% 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, 57 citations in OpenAlex.

  1. Article
  2. Network-based genetic monitoring of landscape fragmentation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. Review
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  12. Circuit-theory applications to connectivity science and conservation.Conservation biology : the journal of the Society for Conservation Biology · 2019
    Review
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  14. Article
  15. Article
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

7 authors at 2 institutions in 1 country.

Robby R MarrotteEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, Canada.
Jeff BowmanWildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Peterborough, Canada.ORCID 0000-0002-1892-4469
Michael G C BrownEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, Canada.
Chad CordesWildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Peterborough, Canada.
Kimberley Y MorrisEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, Canada.
Melanie B PrenticeEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, Canada.
Paul J WilsonBiology Department, Trent University, Peterborough, Canada.
Trent University · CAMinistry of Natural Resources and Forestry · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHabitat 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 (

resultsWe 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.

conclusionsOverall, 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.

Indexed as

CircuitscapeLandscape contextLandscape fragmentation hypothesisMulti-species connectivityPinch point

Identifiers

PMID29043084
PMCPMC5629812
OpenAlexW2760955777

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.