Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models
Abstract In many situations, species distribution models need to make use of multiple data sources to address their objectives. We developed a spatio-temporal modelling framework that integrates research survey data and data collected by observers onboard fishing vessels while accounting for physica...
Published in: | ICES Journal of Marine Science |
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsad129 https://academic.oup.com/icesjms/article-pdf/80/7/1991/51766218/fsad129.pdf |
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croxfordunivpr:10.1093/icesjms/fsad129 2024-04-28T08:41:40+00:00 Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models Grüss, A Charsley, A R Thorson, J T Anderson, O F O'Driscoll, R L Wood, B Breivik, O N O’Leary, C A Subbey, Sam NIWA 2023 http://dx.doi.org/10.1093/icesjms/fsad129 https://academic.oup.com/icesjms/article-pdf/80/7/1991/51766218/fsad129.pdf en eng Oxford University Press (OUP) https://creativecommons.org/licenses/by/4.0/ ICES Journal of Marine Science volume 80, issue 7, page 1991-2007 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2023 croxfordunivpr https://doi.org/10.1093/icesjms/fsad129 2024-04-09T07:56:19Z Abstract In many situations, species distribution models need to make use of multiple data sources to address their objectives. We developed a spatio-temporal modelling framework that integrates research survey data and data collected by observers onboard fishing vessels while accounting for physical barriers (islands, convoluted coastlines). We demonstrated our framework for two bycatch species in New Zealand deepwater fisheries: spiny dogfish (Squalus acanthias) and javelinfish (Lepidorhynchus denticulatus). Results indicated that employing observer-only data or integrated data is necessary to map fish biomass at the scale of the New Zealand exclusive economic zone, and to interpolate local biomass indices (e.g., for the east coast of the South Island) in years with no survey but available observer data. Results also showed that, if enough survey data are available, fisheries analysts should: (1) develop both an integrated model and a model relying on survey-only data; and (2) for a given geographic area, ultimately choose the index produced with integrated data or the index produced with survey-only data based on the reliability of the interannual variability of the index. We also conducted a simulation experiment, which indicated that the predictions of our spatio-temporal models are virtually insensitive to the consideration of physical barriers. Article in Journal/Newspaper spiny dogfish Squalus acanthias Oxford University Press ICES Journal of Marine Science 80 7 1991 2007 |
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Open Polar |
collection |
Oxford University Press |
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 Grüss, A Charsley, A R Thorson, J T Anderson, O F O'Driscoll, R L Wood, B Breivik, O N O’Leary, C A Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract In many situations, species distribution models need to make use of multiple data sources to address their objectives. We developed a spatio-temporal modelling framework that integrates research survey data and data collected by observers onboard fishing vessels while accounting for physical barriers (islands, convoluted coastlines). We demonstrated our framework for two bycatch species in New Zealand deepwater fisheries: spiny dogfish (Squalus acanthias) and javelinfish (Lepidorhynchus denticulatus). Results indicated that employing observer-only data or integrated data is necessary to map fish biomass at the scale of the New Zealand exclusive economic zone, and to interpolate local biomass indices (e.g., for the east coast of the South Island) in years with no survey but available observer data. Results also showed that, if enough survey data are available, fisheries analysts should: (1) develop both an integrated model and a model relying on survey-only data; and (2) for a given geographic area, ultimately choose the index produced with integrated data or the index produced with survey-only data based on the reliability of the interannual variability of the index. We also conducted a simulation experiment, which indicated that the predictions of our spatio-temporal models are virtually insensitive to the consideration of physical barriers. |
author2 |
Subbey, Sam NIWA |
format |
Article in Journal/Newspaper |
author |
Grüss, A Charsley, A R Thorson, J T Anderson, O F O'Driscoll, R L Wood, B Breivik, O N O’Leary, C A |
author_facet |
Grüss, A Charsley, A R Thorson, J T Anderson, O F O'Driscoll, R L Wood, B Breivik, O N O’Leary, C A |
author_sort |
Grüss, A |
title |
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
title_short |
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
title_full |
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
title_fullStr |
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
title_full_unstemmed |
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models |
title_sort |
integrating survey and observer data improves the predictions of new zealand spatio-temporal models |
publisher |
Oxford University Press (OUP) |
publishDate |
2023 |
url |
http://dx.doi.org/10.1093/icesjms/fsad129 https://academic.oup.com/icesjms/article-pdf/80/7/1991/51766218/fsad129.pdf |
genre |
spiny dogfish Squalus acanthias |
genre_facet |
spiny dogfish Squalus acanthias |
op_source |
ICES Journal of Marine Science volume 80, issue 7, page 1991-2007 ISSN 1054-3139 1095-9289 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1093/icesjms/fsad129 |
container_title |
ICES Journal of Marine Science |
container_volume |
80 |
container_issue |
7 |
container_start_page |
1991 |
op_container_end_page |
2007 |
_version_ |
1797571887267577856 |