Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision

<qd> Walline, P. D. 2007. Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision – ICES Journal of Marine Science, 64. </qd> Sequential Gaussian and sequential indicator geostatistical simulation methods were used to estimat...

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Published in:ICES Journal of Marine Science
Main Author: Walline, Paul D.
Format: Text
Language:English
Published: Oxford University Press 2007
Subjects:
Online Access:http://icesjms.oxfordjournals.org/cgi/content/short/fsl045v1
https://doi.org/10.1093/icesjms/fsl045
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spelling fthighwire:oai:open-archive.highwire.org:icesjms:fsl045v1 2023-05-15T15:43:13+02:00 Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision Walline, Paul D. 2007-01-31 04:49:48.0 text/html http://icesjms.oxfordjournals.org/cgi/content/short/fsl045v1 https://doi.org/10.1093/icesjms/fsl045 en eng Oxford University Press http://icesjms.oxfordjournals.org/cgi/content/short/fsl045v1 http://dx.doi.org/10.1093/icesjms/fsl045 Copyright (C) 2007, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer Article TEXT 2007 fthighwire https://doi.org/10.1093/icesjms/fsl045 2013-05-26T22:25:15Z <qd> Walline, P. D. 2007. Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision – ICES Journal of Marine Science, 64. </qd> Sequential Gaussian and sequential indicator geostatistical simulation methods were used to estimate confidence intervals (CIs) for biomass estimates from six echo-integration trawl surveys of eastern Bering Sea walleye pollock ( Theragra chalcogramma ) biomass. Uncertainty in the acoustic and the length frequency data was combined in the calculation of CIs. Sampling in 2002 provided evidence for isotropy in the spatial distribution. Variogram models were characterized by long ranges (75–122 nautical miles for non-zero acoustic data, for example) compared with the smallest dimension of the survey area (∼100 nautical miles) and small nugget effects (∼20% of the semi-variance in transformed normal space for acoustic data). The 95% CIs obtained for the abundance estimates did not vary greatly between years and were similar to those from a one-dimensional transitive geostatistical analysis, i.e. ± 5–9% of estimated total biomass. Text Bering Sea Theragra chalcogramma HighWire Press (Stanford University) Bering Sea ICES Journal of Marine Science 64 3 559 569
institution Open Polar
collection HighWire Press (Stanford University)
op_collection_id fthighwire
language English
topic Article
spellingShingle Article
Walline, Paul D.
Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
topic_facet Article
description <qd> Walline, P. D. 2007. Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision – ICES Journal of Marine Science, 64. </qd> Sequential Gaussian and sequential indicator geostatistical simulation methods were used to estimate confidence intervals (CIs) for biomass estimates from six echo-integration trawl surveys of eastern Bering Sea walleye pollock ( Theragra chalcogramma ) biomass. Uncertainty in the acoustic and the length frequency data was combined in the calculation of CIs. Sampling in 2002 provided evidence for isotropy in the spatial distribution. Variogram models were characterized by long ranges (75–122 nautical miles for non-zero acoustic data, for example) compared with the smallest dimension of the survey area (∼100 nautical miles) and small nugget effects (∼20% of the semi-variance in transformed normal space for acoustic data). The 95% CIs obtained for the abundance estimates did not vary greatly between years and were similar to those from a one-dimensional transitive geostatistical analysis, i.e. ± 5–9% of estimated total biomass.
format Text
author Walline, Paul D.
author_facet Walline, Paul D.
author_sort Walline, Paul D.
title Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
title_short Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
title_full Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
title_fullStr Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
title_full_unstemmed Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision
title_sort geostatistical simulations of eastern bering sea walleye pollock spatial distributions, to estimate sampling precision
publisher Oxford University Press
publishDate 2007
url http://icesjms.oxfordjournals.org/cgi/content/short/fsl045v1
https://doi.org/10.1093/icesjms/fsl045
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
Theragra chalcogramma
genre_facet Bering Sea
Theragra chalcogramma
op_relation http://icesjms.oxfordjournals.org/cgi/content/short/fsl045v1
http://dx.doi.org/10.1093/icesjms/fsl045
op_rights Copyright (C) 2007, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la Mer
op_doi https://doi.org/10.1093/icesjms/fsl045
container_title ICES Journal of Marine Science
container_volume 64
container_issue 3
container_start_page 559
op_container_end_page 569
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