Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes
Abstract We present a statistical method for intercalibration of fishery surveys methods, i.e. determining the difference in catchability and size selectivity of two methods, such as trawl gears or vessels, based on data from paired fishing operations. The model estimates the selectivity ratios in e...
Published in: | ICES Journal of Marine Science |
---|---|
Main Authors: | , , , |
Other Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Oxford University Press (OUP)
2019
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1093/icesjms/fsy191 http://academic.oup.com/icesjms/article-pdf/76/4/1189/31239345/fsy191.pdf |
id |
croxfordunivpr:10.1093/icesjms/fsy191 |
---|---|
record_format |
openpolar |
spelling |
croxfordunivpr:10.1093/icesjms/fsy191 2023-10-01T03:56:02+02:00 Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes Thygesen, Uffe Høgsbro Kristensen, Kasper Jansen, Teunis Beyer, Jan E Pol, Michael EuropeAid EcoFish project 2019 http://dx.doi.org/10.1093/icesjms/fsy191 http://academic.oup.com/icesjms/article-pdf/76/4/1189/31239345/fsy191.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 76, issue 4, page 1189-1199 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2019 croxfordunivpr https://doi.org/10.1093/icesjms/fsy191 2023-09-01T10:59:18Z Abstract We present a statistical method for intercalibration of fishery surveys methods, i.e. determining the difference in catchability and size selectivity of two methods, such as trawl gears or vessels, based on data from paired fishing operations. The model estimates the selectivity ratios in each length class by modelling the size distribution of the underlying population at each station and the size-structured clustering of fish at small temporal and spatial scales. The model allows for overdispersion and correlation between catch counts in neighbouring size classes. This is obtained by assuming Poisson-distributed catch numbers conditional on unobserved log-Gaussian variables, i.e. the catch is modelled using log-Gaussian Cox processes. We apply the method to catches of hake (Merluccius paradoxus and M. capensis) in 341 paired trawl hauls performed by two different vessels, viz. the RV Dr Fridtjof Nansen and the FV Blue Sea, operating off the coast of Namibia. The results demonstrate that it is feasible to estimate the selectivity ratio in each size class, and to test statistically the hypothesis that the selectivity is independent of size or species. For the specific case, we find that differences between size classes and species are statistically significant. Article in Journal/Newspaper Fridtjof Nansen Oxford University Press (via Crossref) Fridtjof ENVELOPE(-56.717,-56.717,-63.567,-63.567) Hake ENVELOPE(15.612,15.612,66.797,66.797) ICES Journal of Marine Science 76 4 1189 1199 |
institution |
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 Thygesen, Uffe Høgsbro Kristensen, Kasper Jansen, Teunis Beyer, Jan E Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract We present a statistical method for intercalibration of fishery surveys methods, i.e. determining the difference in catchability and size selectivity of two methods, such as trawl gears or vessels, based on data from paired fishing operations. The model estimates the selectivity ratios in each length class by modelling the size distribution of the underlying population at each station and the size-structured clustering of fish at small temporal and spatial scales. The model allows for overdispersion and correlation between catch counts in neighbouring size classes. This is obtained by assuming Poisson-distributed catch numbers conditional on unobserved log-Gaussian variables, i.e. the catch is modelled using log-Gaussian Cox processes. We apply the method to catches of hake (Merluccius paradoxus and M. capensis) in 341 paired trawl hauls performed by two different vessels, viz. the RV Dr Fridtjof Nansen and the FV Blue Sea, operating off the coast of Namibia. The results demonstrate that it is feasible to estimate the selectivity ratio in each size class, and to test statistically the hypothesis that the selectivity is independent of size or species. For the specific case, we find that differences between size classes and species are statistically significant. |
author2 |
Pol, Michael EuropeAid EcoFish project |
format |
Article in Journal/Newspaper |
author |
Thygesen, Uffe Høgsbro Kristensen, Kasper Jansen, Teunis Beyer, Jan E |
author_facet |
Thygesen, Uffe Høgsbro Kristensen, Kasper Jansen, Teunis Beyer, Jan E |
author_sort |
Thygesen, Uffe Høgsbro |
title |
Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
title_short |
Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
title_full |
Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
title_fullStr |
Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
title_full_unstemmed |
Intercalibration of survey methods using paired fishing operations and log-Gaussian Cox processes |
title_sort |
intercalibration of survey methods using paired fishing operations and log-gaussian cox processes |
publisher |
Oxford University Press (OUP) |
publishDate |
2019 |
url |
http://dx.doi.org/10.1093/icesjms/fsy191 http://academic.oup.com/icesjms/article-pdf/76/4/1189/31239345/fsy191.pdf |
long_lat |
ENVELOPE(-56.717,-56.717,-63.567,-63.567) ENVELOPE(15.612,15.612,66.797,66.797) |
geographic |
Fridtjof Hake |
geographic_facet |
Fridtjof Hake |
genre |
Fridtjof Nansen |
genre_facet |
Fridtjof Nansen |
op_source |
ICES Journal of Marine Science volume 76, issue 4, page 1189-1199 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/fsy191 |
container_title |
ICES Journal of Marine Science |
container_volume |
76 |
container_issue |
4 |
container_start_page |
1189 |
op_container_end_page |
1199 |
_version_ |
1778525118541070336 |