A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...

No abstracts are to be cited without prior reference to the author. The state-space model framework provides a natural probabilistic approach to modeling the stochastic nature of population survival and recruitment and sampling error inherent in observations of the population. Such models can be exp...

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Main Author: Miller, Timothy J.
Format: Conference Object
Language:unknown
Published: ASC 2014 - Theme session G 2023
Subjects:
Online Access:https://dx.doi.org/10.17895/ices.pub.24752430.v1
https://ices-library.figshare.com/articles/conference_contribution/A_state-space_age-structured_assessment_model_that_accommodates_environmental_effects_on_demographic_parameters_and_biological_reference_points/24752430/1
id ftdatacite:10.17895/ices.pub.24752430.v1
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spelling ftdatacite:10.17895/ices.pub.24752430.v1 2024-02-04T09:58:48+01:00 A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ... Miller, Timothy J. 2023 https://dx.doi.org/10.17895/ices.pub.24752430.v1 https://ices-library.figshare.com/articles/conference_contribution/A_state-space_age-structured_assessment_model_that_accommodates_environmental_effects_on_demographic_parameters_and_biological_reference_points/24752430/1 unknown ASC 2014 - Theme session G https://ices-library.figshare.com/ICES-ASC-2014/groups https://dx.doi.org/10.17895/ices.pub.24752430 https://ices-library.figshare.com/ICES-ASC-2014/groups ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx Fisheries and aquaculture Pressures, impacts, conservation, and management CreativeWork Conference contribution article Other 2023 ftdatacite https://doi.org/10.17895/ices.pub.24752430.v110.17895/ices.pub.24752430 2024-01-05T01:56:28Z No abstracts are to be cited without prior reference to the author. The state-space model framework provides a natural probabilistic approach to modeling the stochastic nature of population survival and recruitment and sampling error inherent in observations of the population. Such models can be expanded to also model error in environmental covariates and their effects on demographic parameters. We present a state-space age-structured assessment model that can incorporate effects of observed covariates on recruitment and apply the model to Southern New England (SNE) yellowtail flounder and Gulf of Maine (GOM) Atlantic cod using data from the most recent benchmark assessments to evaluate evidence for environmental effects on stock productivity. Based on AIC, models that included environmental effects on recruitment performed better for both stocks and led to annual variation in estimated reference points. ... Conference Object atlantic cod DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Fisheries and aquaculture
Pressures, impacts, conservation, and management
spellingShingle Fisheries and aquaculture
Pressures, impacts, conservation, and management
Miller, Timothy J.
A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
topic_facet Fisheries and aquaculture
Pressures, impacts, conservation, and management
description No abstracts are to be cited without prior reference to the author. The state-space model framework provides a natural probabilistic approach to modeling the stochastic nature of population survival and recruitment and sampling error inherent in observations of the population. Such models can be expanded to also model error in environmental covariates and their effects on demographic parameters. We present a state-space age-structured assessment model that can incorporate effects of observed covariates on recruitment and apply the model to Southern New England (SNE) yellowtail flounder and Gulf of Maine (GOM) Atlantic cod using data from the most recent benchmark assessments to evaluate evidence for environmental effects on stock productivity. Based on AIC, models that included environmental effects on recruitment performed better for both stocks and led to annual variation in estimated reference points. ...
format Conference Object
author Miller, Timothy J.
author_facet Miller, Timothy J.
author_sort Miller, Timothy J.
title A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
title_short A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
title_full A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
title_fullStr A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
title_full_unstemmed A state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
title_sort state-space age-structured assessment model that accommodates environmental effects on demographic parameters and biological reference points ...
publisher ASC 2014 - Theme session G
publishDate 2023
url https://dx.doi.org/10.17895/ices.pub.24752430.v1
https://ices-library.figshare.com/articles/conference_contribution/A_state-space_age-structured_assessment_model_that_accommodates_environmental_effects_on_demographic_parameters_and_biological_reference_points/24752430/1
genre atlantic cod
genre_facet atlantic cod
op_relation https://ices-library.figshare.com/ICES-ASC-2014/groups
https://dx.doi.org/10.17895/ices.pub.24752430
https://ices-library.figshare.com/ICES-ASC-2014/groups
op_rights ICES Custom Licence
https://www.ices.dk/Pages/library_policies.aspx
op_doi https://doi.org/10.17895/ices.pub.24752430.v110.17895/ices.pub.24752430
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