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Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model

Research output: Contribution to journalArticle

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Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model. / van Beest, Floris M.; Mews, Sina; Elkenkamp, Svenja; Schuhmann, Patrick; Tsolak, Dorian; Wobbe, Till; Bartolino, Valerio; Bastardie, Francois; Dietz, Rune; von Dorrien, Christian; Galatius, Anders; Karlsson, Olle; McConnell, Bernie; Nabe-Nielsen, Jacob; Olsen, Morten Tange; Teilmann, Jonas; Langrock, Roland.

In: Scientific Reports, Vol. 9, 5642, 04.04.2019.

Research output: Contribution to journalArticle

Harvard

van Beest, FM, Mews, S, Elkenkamp, S, Schuhmann, P, Tsolak, D, Wobbe, T, Bartolino, V, Bastardie, F, Dietz, R, von Dorrien, C, Galatius, A, Karlsson, O, McConnell, B, Nabe-Nielsen, J, Olsen, MT, Teilmann, J & Langrock, R 2019, 'Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model' Scientific Reports, vol. 9, 5642. https://doi.org/10.1038/s41598-019-42109-w

APA

van Beest, F. M., Mews, S., Elkenkamp, S., Schuhmann, P., Tsolak, D., Wobbe, T., ... Langrock, R. (2019). Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model. Scientific Reports, 9, [5642]. https://doi.org/10.1038/s41598-019-42109-w

Vancouver

van Beest FM, Mews S, Elkenkamp S, Schuhmann P, Tsolak D, Wobbe T et al. Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model. Scientific Reports. 2019 Apr 4;9. 5642. https://doi.org/10.1038/s41598-019-42109-w

Author

van Beest, Floris M. ; Mews, Sina ; Elkenkamp, Svenja ; Schuhmann, Patrick ; Tsolak, Dorian ; Wobbe, Till ; Bartolino, Valerio ; Bastardie, Francois ; Dietz, Rune ; von Dorrien, Christian ; Galatius, Anders ; Karlsson, Olle ; McConnell, Bernie ; Nabe-Nielsen, Jacob ; Olsen, Morten Tange ; Teilmann, Jonas ; Langrock, Roland. / Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model. In: Scientific Reports. 2019 ; Vol. 9.

Bibtex - Download

@article{94ac59206e3c48e78c3a397d775346dc,
title = "Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model",
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.",
author = "{van Beest}, {Floris M.} and Sina Mews and Svenja Elkenkamp and Patrick Schuhmann and Dorian Tsolak and Till Wobbe and Valerio Bartolino and Francois Bastardie and Rune Dietz and {von Dorrien}, Christian and Anders Galatius and Olle Karlsson and Bernie McConnell and Jacob Nabe-Nielsen and Olsen, {Morten Tange} and Jonas Teilmann and Roland Langrock",
year = "2019",
month = "4",
day = "4",
doi = "10.1038/s41598-019-42109-w",
language = "English",
volume = "9",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature publishing group",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model

AU - van Beest, Floris M.

AU - Mews, Sina

AU - Elkenkamp, Svenja

AU - Schuhmann, Patrick

AU - Tsolak, Dorian

AU - Wobbe, Till

AU - Bartolino, Valerio

AU - Bastardie, Francois

AU - Dietz, Rune

AU - von Dorrien, Christian

AU - Galatius, Anders

AU - Karlsson, Olle

AU - McConnell, Bernie

AU - Nabe-Nielsen, Jacob

AU - Olsen, Morten Tange

AU - Teilmann, Jonas

AU - Langrock, Roland

PY - 2019/4/4

Y1 - 2019/4/4

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-019-42109-w

DO - 10.1038/s41598-019-42109-w

M3 - Article

VL - 9

JO - Scientific Reports

T2 - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 5642

ER -

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ID: 258463193