Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models.
Generalized additive models (GAMs) are used to model the spatiotemporal distribution of egg density as a function of locational and environmental variables. The main aim of using GAMs is to improve precision of egg abundance estimates needed for the annual egg production method. The application of G...
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ftunstandrewcris:oai:research-portal.st-andrews.ac.uk:publications/ae799567-fdc3-457e-a387-64898cff2ea8 2024-09-15T17:59:34+00:00 Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. Borchers, David Louis Augustin, NH Clarke, ED Buckland, Stephen Terrence 1, other 1998-12 https://research-portal.st-andrews.ac.uk/en/publications/ae799567-fdc3-457e-a387-64898cff2ea8 http://www.scopus.com/inward/record.url?scp=0032458741&partnerID=8YFLogxK eng eng https://research-portal.st-andrews.ac.uk/en/publications/ae799567-fdc3-457e-a387-64898cff2ea8 info:eu-repo/semantics/restrictedAccess Borchers , D L , Augustin , NH , Clarke , ED , Buckland , S T & 1 , O 1998 , ' Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. ' , Canadian Journal of Fisheries and Aquatic Sciences , vol. 55 , pp. 2608-2621 . BERING SEA ENVIRONMENTAL-FACTORS SPATIAL-DISTRIBUTION ABUNDANCE SCHOOLS article 1998 ftunstandrewcris 2024-08-28T23:42:37Z Generalized additive models (GAMs) are used to model the spatiotemporal distribution of egg density as a function of locational and environmental variables. The main aim of using GAMs is to improve precision of egg abundance estimates needed for the annual egg production method. The application of GAMs requires a survey design with good coverage in space and time. If the only results available are from less optimal survey designs, they can be improved by using historical data for spawning boundaries. The method is applied to plankton egg survey data of Atlantic mackerel (Scomber scombrus) in 1995. The GAM-based method improves the precision of estimates substantially and is also useful in explaining complex space-time trends using environmental variables. Article in Journal/Newspaper Bering Sea University of St Andrews: Research Portal |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
topic |
BERING SEA ENVIRONMENTAL-FACTORS SPATIAL-DISTRIBUTION ABUNDANCE SCHOOLS |
spellingShingle |
BERING SEA ENVIRONMENTAL-FACTORS SPATIAL-DISTRIBUTION ABUNDANCE SCHOOLS Borchers, David Louis Augustin, NH Clarke, ED Buckland, Stephen Terrence 1, other Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
topic_facet |
BERING SEA ENVIRONMENTAL-FACTORS SPATIAL-DISTRIBUTION ABUNDANCE SCHOOLS |
description |
Generalized additive models (GAMs) are used to model the spatiotemporal distribution of egg density as a function of locational and environmental variables. The main aim of using GAMs is to improve precision of egg abundance estimates needed for the annual egg production method. The application of GAMs requires a survey design with good coverage in space and time. If the only results available are from less optimal survey designs, they can be improved by using historical data for spawning boundaries. The method is applied to plankton egg survey data of Atlantic mackerel (Scomber scombrus) in 1995. The GAM-based method improves the precision of estimates substantially and is also useful in explaining complex space-time trends using environmental variables. |
format |
Article in Journal/Newspaper |
author |
Borchers, David Louis Augustin, NH Clarke, ED Buckland, Stephen Terrence 1, other |
author_facet |
Borchers, David Louis Augustin, NH Clarke, ED Buckland, Stephen Terrence 1, other |
author_sort |
Borchers, David Louis |
title |
Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
title_short |
Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
title_full |
Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
title_fullStr |
Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
title_full_unstemmed |
Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
title_sort |
spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. |
publishDate |
1998 |
url |
https://research-portal.st-andrews.ac.uk/en/publications/ae799567-fdc3-457e-a387-64898cff2ea8 http://www.scopus.com/inward/record.url?scp=0032458741&partnerID=8YFLogxK |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
Borchers , D L , Augustin , NH , Clarke , ED , Buckland , S T & 1 , O 1998 , ' Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models. ' , Canadian Journal of Fisheries and Aquatic Sciences , vol. 55 , pp. 2608-2621 . |
op_relation |
https://research-portal.st-andrews.ac.uk/en/publications/ae799567-fdc3-457e-a387-64898cff2ea8 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
_version_ |
1810436665823461376 |