ArticleEvolution letters2018
Landscape permeability and individual variation in a dispersal-linked gene jointly determine genetic structure in the Glanville fritillary butterfly.
Article in Evolution letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Relative Effects of Habitat Amount and Fragmentation Per Se on Genetic Diversity of the Glanville Fritillary Butterfly.Molecular ecology · 2025Article
- Demography and environment modulate the effects of genetic diversity on extinction risk in a butterfly metapopulation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Effects of environment and genotype on dispersal differ across departure, transfer and settlement in a butterfly metapopulation.Proceedings. Biological sciences · 2022Article
- Environmental resistance and habitat quality influence dispersal of the saltwater crocodile.Molecular ecology · 2022Article
- Article
- Landscape Genetics of Plants: Challenges and Opportunities.Plant communications · 2020Review
- Butterfly Conservation in China: From Science to Action.Insects · 2020Review
- The physiology of movement.Movement ecology · 2020Review
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is now clear evidence that species across a broad range of taxa harbor extensive heritable variation in dispersal. While studies suggest that this variation can facilitate demographic outcomes such as range expansion and invasions, few have considered the consequences of intraspecific variation in dispersal for the maintenance and distribution of genetic variation across fragmented landscapes. Here, we examine how landscape characteristics and individual variation in dispersal combine to predict genetic structure using genomic and spatial data from the Glanville fritillary butterfly. We used linear and latent factor mixed models to identify the landscape features that best predict spatial sorting of alleles in the dispersal-related gene
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