Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska
Abstract Survey indices of abundance are one of the main sources of information used in fish stock assessment. Many regions around the world, including the United States and Europe, develop survey protocols to aid in creating these indices. As ecosystems function as a continuum across borders, there...
Published in: | ICES Journal of Marine Science |
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2017
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsx174 http://academic.oup.com/icesjms/article-pdf/75/2/572/31236152/fsx174.pdf |
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croxfordunivpr:10.1093/icesjms/fsx174 2023-12-31T10:05:22+01:00 Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska Ono, Kotaro Ianelli, James N McGilliard, Carey R Punt, André E Anderson, Emory Joint Institute for the Study of the Atmosphere and Ocean JISAO NOAA Research Council of Norway 2017 http://dx.doi.org/10.1093/icesjms/fsx174 http://academic.oup.com/icesjms/article-pdf/75/2/572/31236152/fsx174.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model ICES Journal of Marine Science volume 75, issue 2, page 572-584 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2017 croxfordunivpr https://doi.org/10.1093/icesjms/fsx174 2023-12-06T08:37:13Z Abstract Survey indices of abundance are one of the main sources of information used in fish stock assessment. Many regions around the world, including the United States and Europe, develop survey protocols to aid in creating these indices. As ecosystems function as a continuum across borders, there is a need to develop a standardized framework for combining information across surveys. Such methods could help resolve differences in timing, spatial coverage, catchability, and selectivity among surveys. We present a method that uses survey data by length class. These data come from several regional surveys each with differing sampling designs, spatial and temporal coverage, and sampling gear. The method accounts for the spatio-temporal correlation structure in length-specific catch rates and occurrence, and allows for differences in catchability and selectivity among regions. The approach was applied to Pacific halibut (Hippoglossus stenolepis) in Alaska, a broadly distributed species for which there is considerable uncertainty in recent recruitment estimates. Results confirm the major recruitment event of 1987 recorded in the most recent stock assessment and also detected recruitment peaks in more recent years (1998 and 2004–2005). The signal seems to be mostly related to the Eastern Bering Sea shelf survey data. The approach introduced in this study is general and could be expanded to other regions and species where standardized survey data are collected that include extensive length and/or age measurements. Article in Journal/Newspaper Bering Sea Alaska Oxford University Press (via Crossref) ICES Journal of Marine Science 75 2 572 584 |
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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 Ono, Kotaro Ianelli, James N McGilliard, Carey R Punt, André E Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Survey indices of abundance are one of the main sources of information used in fish stock assessment. Many regions around the world, including the United States and Europe, develop survey protocols to aid in creating these indices. As ecosystems function as a continuum across borders, there is a need to develop a standardized framework for combining information across surveys. Such methods could help resolve differences in timing, spatial coverage, catchability, and selectivity among surveys. We present a method that uses survey data by length class. These data come from several regional surveys each with differing sampling designs, spatial and temporal coverage, and sampling gear. The method accounts for the spatio-temporal correlation structure in length-specific catch rates and occurrence, and allows for differences in catchability and selectivity among regions. The approach was applied to Pacific halibut (Hippoglossus stenolepis) in Alaska, a broadly distributed species for which there is considerable uncertainty in recent recruitment estimates. Results confirm the major recruitment event of 1987 recorded in the most recent stock assessment and also detected recruitment peaks in more recent years (1998 and 2004–2005). The signal seems to be mostly related to the Eastern Bering Sea shelf survey data. The approach introduced in this study is general and could be expanded to other regions and species where standardized survey data are collected that include extensive length and/or age measurements. |
author2 |
Anderson, Emory Joint Institute for the Study of the Atmosphere and Ocean JISAO NOAA Research Council of Norway |
format |
Article in Journal/Newspaper |
author |
Ono, Kotaro Ianelli, James N McGilliard, Carey R Punt, André E |
author_facet |
Ono, Kotaro Ianelli, James N McGilliard, Carey R Punt, André E |
author_sort |
Ono, Kotaro |
title |
Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
title_short |
Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
title_full |
Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
title_fullStr |
Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
title_full_unstemmed |
Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska |
title_sort |
integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile pacific halibut in alaska |
publisher |
Oxford University Press (OUP) |
publishDate |
2017 |
url |
http://dx.doi.org/10.1093/icesjms/fsx174 http://academic.oup.com/icesjms/article-pdf/75/2/572/31236152/fsx174.pdf |
genre |
Bering Sea Alaska |
genre_facet |
Bering Sea Alaska |
op_source |
ICES Journal of Marine Science volume 75, issue 2, page 572-584 ISSN 1054-3139 1095-9289 |
op_rights |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
op_doi |
https://doi.org/10.1093/icesjms/fsx174 |
container_title |
ICES Journal of Marine Science |
container_volume |
75 |
container_issue |
2 |
container_start_page |
572 |
op_container_end_page |
584 |
_version_ |
1786836955879702528 |