ArticleScientific reports2020
Hidden Markov Models reveal a clear human footprint on the movements of highly mobile African wild dogs.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Extraordinary movements connecting distant ecosystems by African wild dogs (Lycaon pictus).Ecology · 2026Article
- Reduced Genetic Load and Inbreeding in Reintroduced African Wild Dogs Reflect the Benefits of Admixture.Molecular ecology · 2026Article
- Effects of urbanisation on the movements of an arboreal specialist using hidden Markov models.Movement ecology · 2025Article
- An introduction to statistical models used to characterize species-habitat associations with animal movement data.Movement ecology · 2025Review
- A novel record of African wild dogs (Ecology and evolution · 2023Article
- Article
- A three-step approach for assessing landscape connectivity via simulated dispersal: African wild dog case study.Landscape ecology · 2023Article
- Towns and trails drive carnivore movement behaviour, resource selection, and connectivity.Movement ecology · 2022Article
- African wild dog movements show contrasting responses to long and short term risk of encountering lions: analysis using dynamic Brownian bridge movement models.Movement ecology · 2022Article
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large carnivores have experienced considerable range contraction, increasing the importance of movement across human-altered landscapes between small, isolated populations. African wild dogs (Lycaon pictus) are exceptionally wide-ranging, and recolonization is an important element of their persistence at broad scales. The competition-movement-connection hypothesis suggests that adaptations to move through areas that are unfavorable due to dominant competitors might promote the ability of subordinate competitors (like wild dogs) to move through areas that are unfavorable due to humans. Here, we used hidden Markov models to test how wild dog movements were affected by the Human Footprint Index in areas inside and outside of South Luangwa National Park. Movements were faster and more directed when outside the National Park, but slowed where the human footprint was stronger. Our results can be directly and quantitatively applied to connectivity planning, and we use them to identify ways to better understand differences between species in recent loss of connectivity.
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