ArticleMovement ecology2017
Multi-species genetic connectivity in a terrestrial habitat network.
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.
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Who cites it
15 citing papers in PubMed, 57 citations in OpenAlex.
- An integrated assessment of climate change on landscape adaptive capacity, vulnerability, and divergence in Avicennia species.Scientific reports · 2026Article
- Network-based genetic monitoring of landscape fragmentation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A predictive approach to integrating connectivity into landscape scale protected areas planning.PloS one · 2026Article
- Advances and challenges in ecological connectivity science.Ecology and evolution · 2024Review
- Reduced gene flow and bottleneck in the threatened giant armadillo (Priodontes maximus): implications for its conservation.Genetics and molecular biology · 2024Article
- First insights in terrestrial mammals monitoring in the Candelaria and Machay Reserves in the Ecuadorian Tropical Andes.Biodiversity data journal · 2023Article
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- Integrating carbon stocks and landscape connectivity for nature-based climate solutions.Ecology and evolution · 2023Article
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- Predicting wildlife corridors for multiple species in an East African ungulate community.PloS one · 2022Article
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- Circuit-theory applications to connectivity science and conservation.Conservation biology : the journal of the Society for Conservation Biology · 2019Review
- Temporal road closures improve habitat quality for wildlife.Scientific reports · 2019Article
- HexSim: a modeling environment for ecology and conservation.Landscape ecology · 2018Article
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Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.