Fitting state–space models to seal populations with scarce data

Abstract We estimate temporal variation in fecundity, the reproduction rate, for Barents Sea and Greenland Sea harp seals using a state–space approach. A stochastic process model for fecundity is integrated with an age-structured population dynamics model and fit to available data for these two harp...

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Published in:ICES Journal of Marine Science
Main Authors: Øigård, Tor Arne, Skaug, Hans J.
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2014
Subjects:
Online Access:http://dx.doi.org/10.1093/icesjms/fsu195
http://academic.oup.com/icesjms/article-pdf/72/5/1462/31228246/fsu195.pdf
id croxfordunivpr:10.1093/icesjms/fsu195
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spelling croxfordunivpr:10.1093/icesjms/fsu195 2023-09-26T15:16:30+02:00 Fitting state–space models to seal populations with scarce data Øigård, Tor Arne Skaug, Hans J. 2014 http://dx.doi.org/10.1093/icesjms/fsu195 http://academic.oup.com/icesjms/article-pdf/72/5/1462/31228246/fsu195.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 72, issue 5, page 1462-1469 ISSN 1095-9289 1054-3139 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2014 croxfordunivpr https://doi.org/10.1093/icesjms/fsu195 2023-08-25T11:33:37Z Abstract We estimate temporal variation in fecundity, the reproduction rate, for Barents Sea and Greenland Sea harp seals using a state–space approach. A stochastic process model for fecundity is integrated with an age-structured population dynamics model and fit to available data for these two harp seal populations. Owing to scarceness of data, it is necessary to “borrow strength” from the Northwest Atlantic harp seal population in form of prior distributions on autocorrelation and variance in fecundity. Comparison is made to a simpler deterministic population dynamics model. The state–space model is more flexible and is able to account for the variations in the data. For Barents Sea harp seals, the state–space model gives a higher estimate of current population size but also a much higher associated uncertainty. In the Greenland Sea, the differences between the stochastic and deterministic models are much smaller. Article in Journal/Newspaper Barents Sea Greenland Greenland Sea Harp Seal Northwest Atlantic Oxford University Press (via Crossref) Barents Sea Greenland ICES Journal of Marine Science 72 5 1462 1469
institution Open Polar
collection Oxford University Press (via Crossref)
op_collection_id croxfordunivpr
language English
topic Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
spellingShingle Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
Øigård, Tor Arne
Skaug, Hans J.
Fitting state–space models to seal populations with scarce data
topic_facet Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
description Abstract We estimate temporal variation in fecundity, the reproduction rate, for Barents Sea and Greenland Sea harp seals using a state–space approach. A stochastic process model for fecundity is integrated with an age-structured population dynamics model and fit to available data for these two harp seal populations. Owing to scarceness of data, it is necessary to “borrow strength” from the Northwest Atlantic harp seal population in form of prior distributions on autocorrelation and variance in fecundity. Comparison is made to a simpler deterministic population dynamics model. The state–space model is more flexible and is able to account for the variations in the data. For Barents Sea harp seals, the state–space model gives a higher estimate of current population size but also a much higher associated uncertainty. In the Greenland Sea, the differences between the stochastic and deterministic models are much smaller.
format Article in Journal/Newspaper
author Øigård, Tor Arne
Skaug, Hans J.
author_facet Øigård, Tor Arne
Skaug, Hans J.
author_sort Øigård, Tor Arne
title Fitting state–space models to seal populations with scarce data
title_short Fitting state–space models to seal populations with scarce data
title_full Fitting state–space models to seal populations with scarce data
title_fullStr Fitting state–space models to seal populations with scarce data
title_full_unstemmed Fitting state–space models to seal populations with scarce data
title_sort fitting state–space models to seal populations with scarce data
publisher Oxford University Press (OUP)
publishDate 2014
url http://dx.doi.org/10.1093/icesjms/fsu195
http://academic.oup.com/icesjms/article-pdf/72/5/1462/31228246/fsu195.pdf
geographic Barents Sea
Greenland
geographic_facet Barents Sea
Greenland
genre Barents Sea
Greenland
Greenland Sea
Harp Seal
Northwest Atlantic
genre_facet Barents Sea
Greenland
Greenland Sea
Harp Seal
Northwest Atlantic
op_source ICES Journal of Marine Science
volume 72, issue 5, page 1462-1469
ISSN 1095-9289 1054-3139
op_doi https://doi.org/10.1093/icesjms/fsu195
container_title ICES Journal of Marine Science
container_volume 72
container_issue 5
container_start_page 1462
op_container_end_page 1469
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