Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space

Regional sighting surveys with two independent observers on each vessel were conducted each year from 1996 to 2001. Northern minke whales (Balaenoptera acutorostrata) are mostly solitary animals and are only available for observation at moments when they surface to breath. Thus, a stochastic point p...

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Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Skaug, Hans Julius, Øien, Nils, Schweder, Tore, Bøthun, Gjermund
Format: Article in Journal/Newspaper
Language:English
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/11250/108296
https://doi.org/10.1139/F04-020
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spelling ftimr:oai:imr.brage.unit.no:11250/108296 2023-05-15T15:36:05+02:00 Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space Skaug, Hans Julius Øien, Nils Schweder, Tore Bøthun, Gjermund 2004 727410 bytes application/pdf http://hdl.handle.net/11250/108296 https://doi.org/10.1139/F04-020 eng eng urn:issn:0706-652X http://hdl.handle.net/11250/108296 http://dx.doi.org/10.1139/F04-020 870–886 61 Canadian Journal of Fisheries and Aquatic Sciences 6 minke whale vågehval bestandsvurderinger abundance estimates Journal article Peer reviewed 2004 ftimr https://doi.org/10.1139/F04-020 2021-09-23T20:14:34Z Regional sighting surveys with two independent observers on each vessel were conducted each year from 1996 to 2001. Northern minke whales (Balaenoptera acutorostrata) are mostly solitary animals and are only available for observation at moments when they surface to breath. Thus, a stochastic point process model is developed for how the data are generated. The hazard probability of initially sighting a whale that surfaces depends on relative spatial coordinates and on other covariates. The parameters of the model are estimated by maximum likelihood. To account for interannual variation in spatial distribution of minke whales, a random effects model is developed and estimated by comparing current and past (1989 and 1995) survey data. A simulation approach is taken to remove bias from parameter estimates and to assess the uncertainty in the results. For total abundance, the result is a log-normal confidence distribution with quantiles 107 205·exp(0.137z), i.e., an abundance estimate of 107 205 with a coefficient of variation of ≈0.14. Together with these and earlier survey data, past data on catch, mark–recapture, and satellite tracking are reviewed to elucidate distribution and migration patterns in Northeastern Atlantic minke whales. Article in Journal/Newspaper Balaenoptera acutorostrata minke whale Northeast Atlantic vågehval Institute for Marine Research: Brage IMR Canadian Journal of Fisheries and Aquatic Sciences 61 6 870 886
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
topic minke whale
vågehval
bestandsvurderinger
abundance estimates
spellingShingle minke whale
vågehval
bestandsvurderinger
abundance estimates
Skaug, Hans Julius
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
topic_facet minke whale
vågehval
bestandsvurderinger
abundance estimates
description Regional sighting surveys with two independent observers on each vessel were conducted each year from 1996 to 2001. Northern minke whales (Balaenoptera acutorostrata) are mostly solitary animals and are only available for observation at moments when they surface to breath. Thus, a stochastic point process model is developed for how the data are generated. The hazard probability of initially sighting a whale that surfaces depends on relative spatial coordinates and on other covariates. The parameters of the model are estimated by maximum likelihood. To account for interannual variation in spatial distribution of minke whales, a random effects model is developed and estimated by comparing current and past (1989 and 1995) survey data. A simulation approach is taken to remove bias from parameter estimates and to assess the uncertainty in the results. For total abundance, the result is a log-normal confidence distribution with quantiles 107 205·exp(0.137z), i.e., an abundance estimate of 107 205 with a coefficient of variation of ≈0.14. Together with these and earlier survey data, past data on catch, mark–recapture, and satellite tracking are reviewed to elucidate distribution and migration patterns in Northeastern Atlantic minke whales.
format Article in Journal/Newspaper
author Skaug, Hans Julius
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
author_facet Skaug, Hans Julius
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
author_sort Skaug, Hans Julius
title Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
title_short Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
title_full Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
title_fullStr Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
title_full_unstemmed Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space
title_sort abundance of minke whales (balaenoptera acutorostrata) in the northeast atlantic: variability in time and space
publishDate 2004
url http://hdl.handle.net/11250/108296
https://doi.org/10.1139/F04-020
genre Balaenoptera acutorostrata
minke whale
Northeast Atlantic
vågehval
genre_facet Balaenoptera acutorostrata
minke whale
Northeast Atlantic
vågehval
op_source 870–886
61
Canadian Journal of Fisheries and Aquatic Sciences
6
op_relation urn:issn:0706-652X
http://hdl.handle.net/11250/108296
http://dx.doi.org/10.1139/F04-020
op_doi https://doi.org/10.1139/F04-020
container_title Canadian Journal of Fisheries and Aquatic Sciences
container_volume 61
container_issue 6
container_start_page 870
op_container_end_page 886
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