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 J, Øien, Nils, Schweder, Tore, Bøthun, Gjermund
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2004
Subjects:
Online Access:http://dx.doi.org/10.1139/f04-020
http://www.nrcresearchpress.com/doi/pdf/10.1139/f04-020
id crcansciencepubl:10.1139/f04-020
record_format openpolar
spelling crcansciencepubl:10.1139/f04-020 2024-04-07T07:51:17+00:00 Abundance of minke whales ( Balaenoptera acutorostrata ) in the Northeast Atlantic: variability in time and space Skaug, Hans J Øien, Nils Schweder, Tore Bøthun, Gjermund 2004 http://dx.doi.org/10.1139/f04-020 http://www.nrcresearchpress.com/doi/pdf/10.1139/f04-020 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 61, issue 6, page 870-886 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2004 crcansciencepubl https://doi.org/10.1139/f04-020 2024-03-08T00:37:50Z 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 Northeast Atlantic Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 61 6 870 886
institution Open Polar
collection Canadian Science Publishing
op_collection_id crcansciencepubl
language English
topic Aquatic Science
Ecology, Evolution, Behavior and Systematics
spellingShingle Aquatic Science
Ecology, Evolution, Behavior and Systematics
Skaug, Hans J
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
Abundance of minke whales ( Balaenoptera acutorostrata ) in the Northeast Atlantic: variability in time and space
topic_facet Aquatic Science
Ecology, Evolution, Behavior and Systematics
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 J
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
author_facet Skaug, Hans J
Øien, Nils
Schweder, Tore
Bøthun, Gjermund
author_sort Skaug, Hans J
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
publisher Canadian Science Publishing
publishDate 2004
url http://dx.doi.org/10.1139/f04-020
http://www.nrcresearchpress.com/doi/pdf/10.1139/f04-020
genre Balaenoptera acutorostrata
Northeast Atlantic
genre_facet Balaenoptera acutorostrata
Northeast Atlantic
op_source Canadian Journal of Fisheries and Aquatic Sciences
volume 61, issue 6, page 870-886
ISSN 0706-652X 1205-7533
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
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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