ArticleScientific reports2019
Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Riding out the storm: Behavioural responses of a large herbivore to high-Arctic winds.The Journal of animal ecology · 2026Article
- Inferring behavioural states from tracking data with hidden Markov models - a validation study using GPS video-camera collars.Movement ecology · 2026Article
- Scale-dependent foraging behaviour and habitat associations of two sympatric marine top predators.Landscape ecology · 2026Article
- Range-Wide Genomic Analysis Reveals Regional and Meta-Population Dynamics of Decline and Recovery in the Grey Seal.Molecular ecology · 2025Article
- Linking ringed seal foraging behaviour to environmental variability.Movement ecology · 2025Article
- Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models.Movement ecology · 2025Article
- Unveiling the roles of temporal periodicity, the spatial environment and behavioural modes in terrestrial animal movement.Movement ecology · 2024Article
- Linking fine-scale behaviour to the hydraulic environment shows behavioural responses in riverine fish.Movement ecology · 2023Article
- Animal behaviour on the move: the use of auxiliary information and semi-supervision to improve behavioural inferences from Hidden Markov Models applied to GPS tracking datasets.Movement ecology · 2023Article
- Forecasting shifts in habitat suitability of three marine predators suggests a rapid decline in inter-specific overlap under future climate change.Ecology and evolution · 2022Article
- Prey encounters and spatial memory influence use of foraging patches in a marine central place forager.Proceedings. Biological sciences · 2022Article
- Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups.Scientific reports · 2021Article
- Uncovering ecological state dynamics with hidden Markov models.Ecology letters · 2020Review
- Sex-specific variation in the use of vertical habitat by a resident Antarctic top predator.Proceedings. Biological sciences · 2020Article
- Hidden Markov Models reveal a clear human footprint on the movements of highly mobile African wild dogs.Scientific reports · 2020Article
- Foraging behaviour of a continental shelf marine predator, the grey seal (Movement ecology · 2020Article
- Ecological costs of climate change on marine predator-prey population distributions by 2050.Ecology and evolution · 2020Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Classifying movement behaviour of marine predators in relation to anthropogenic activity and environmental conditions is important to guide marine conservation. We studied the relationship between grey seal (Halichoerus grypus) behaviour and environmental variability in the southwestern Baltic Sea where seal-fishery conflicts are increasing. We used multiple environmental covariates and proximity to active fishing nets within a multivariate hidden Markov model (HMM) to quantify changes in movement behaviour of grey seals while at sea. Dive depth, dive duration, surface duration, horizontal displacement, and turning angle were used to identify travelling, resting and foraging states. The likelihood of seals foraging increased in deeper, colder, more saline waters, which are sites with increased primary productivity and possibly prey densities. Proximity to active fishing net also had a pronounced effect on state occupancy. The probability of seals foraging was highest <5 km from active fishing nets (51%) and decreased as distance to nets increased. However, seals used sites <5 km from active fishing nets only 3% of their time at sea highlighting an important temporal dimension in seal-fishery interactions. By coupling high-resolution oceanographic, fisheries, and grey seal movement data, our study provides a scientific basis for designing management strategies that satisfy ecological and socioeconomic demands on marine ecosystems.
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