Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models DOI Creative Commons
Arnaud Grüss, Anthony R. Charsley, James T. Thorson

et al.

ICES Journal of Marine Science, Journal Year: 2023, Volume and Issue: 80(7), P. 1991 - 2007

Published: Aug. 22, 2023

Abstract In many situations, species distribution models need to make use of multiple data sources address their objectives. We developed a spatio-temporal modelling framework that integrates research survey and collected by observers onboard fishing vessels while accounting for physical barriers (islands, convoluted coastlines). demonstrated our two bycatch in New Zealand deepwater fisheries: spiny dogfish (Squalus acanthias) javelinfish (Lepidorhynchus denticulatus). Results indicated employing observer-only or integrated is necessary map fish biomass at the scale exclusive economic zone, interpolate local indices (e.g., east coast South Island) years with no but available observer data. also showed that, if enough are available, fisheries analysts should: (1) develop both an model relying on survey-only data; (2) given geographic area, ultimately choose index produced based reliability interannual variability index. conducted simulation experiment, which predictions virtually insensitive consideration barriers.

Language: Английский

Catch per unit effort modelling for stock assessment: A summary of good practices DOI Open Access
Simon Hoyle, Robert A. Campbell, Nicholas D. Ducharme‐Barth

et al.

Fisheries Research, Journal Year: 2023, Volume and Issue: 269, P. 106860 - 106860

Published: Sept. 30, 2023

Language: Английский

Citations

36
Coupling state‐of‐the‐art modelling tools for better informed Red List assessments of marine fishes DOI
Arnaud Grüss, Henning Winker, James T. Thorson

et al.

Journal of Applied Ecology, Journal Year: 2024, Volume and Issue: 61(4), P. 647 - 657

Published: Feb. 14, 2024

Abstract In the face of biodiversity loss worldwide, it is paramount to quantify species' extinction risk guide conservation efforts. The International Union for Conservation Nature (IUCN)'s Red List considered global standard evaluating risks. IUCN criteria also inform national assessments. Bayesian models, including state‐of‐the‐art JARA (‘Just Another Assessment’) tool, deliver probabilistic statements about species falling into categories, thereby enabling characterisation and communication uncertainty in We coupled VAST (‘Vector Autoregressive Spatio‐Temporal’) modelling tool JARA, better informed assessments marine fishes. this framework, fitted scientific survey catch rate data provide indices whose propagated outcomes suggesting categories (under population reduction criterion). addition, delivers a valuable habitat assessment understand what may be driving study region. Here, we demonstrate VAST‐JARA framework by applying five contrasting North Sea species, with or without quantitative stock different statuses according latest application previous studies suggest that, among three elasmobranchs, starry ray most need urgent research (and actions where appropriate), followed spurdog, while lesser‐spotted dogfish increasing biomass. Moreover, both indicate European plaice not concern, cod has likely met being listed as Endangered recently. Synthesis applications . predictions output assessment, constitute supporting information make interpretations based on guidelines, which will help decision‐makers their next assessment. foresee assist numerous fishes worldwide. Our many potential advantageous uses, informing resource management climate change impacts

Language: Английский

Citations

5
Quantifying Distinctions in the Otolith Shape of Morphologically Similar Sub-Antarctic Grenadier Species (Macrourus) to Assess Fishery Observer Identifications DOI

William P. Connor,

Cara Masere,

Peter G. Coulson

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impacts of different types of data integration on the predictions of spatio-temporal models: A fishery application and simulation experiment DOI
Arnaud Grüss, Richard L. O’Driscoll, James T. Thorson

et al.

Fisheries Research, Journal Year: 2025, Volume and Issue: 284, P. 107321 - 107321

Published: March 11, 2025

Language: Английский

Citations

0
Spatially varying catchability for integrating research survey data with other data sources: case studies involving observer samples, industry-cooperative surveys, and predators as samplers DOI
Arnaud Grüss, James T. Thorson, Owen F. Anderson

et al.

Canadian Journal of Fisheries and Aquatic Sciences, Journal Year: 2023, Volume and Issue: unknown

Published: June 15, 2023

Spatio-temporal models are widely applied to standardise research survey data and increasingly used generate density maps indices from other sources. We developed a spatio-temporal modelling framework that integrates (treated as “reference dataset”) sources (“non-reference datasets”) while estimating spatially varying catchability for the non-reference datasets. demonstrated it using two case studies. The first involved bottom trawl observer spiny dogfish ( Squalus acanthias) on Chatham Rise, New Zealand. second cod predators samplers of juvenile snow crab Chionoecetes opilio) abundance, integrated with industry-cooperative surveys in eastern Bering Sea. Our leveraged strengths individual (the quality reference dataset quantity data), downweighting influence datasets via estimated catchabilities. They allowed generation annual longer time-period provision one single index rather than multiple each covering shorter time-period.

Language: Английский

Citations

9
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models DOI Creative Commons
Arnaud Grüss, Anthony R. Charsley, James T. Thorson

et al.

ICES Journal of Marine Science, Journal Year: 2023, Volume and Issue: 80(7), P. 1991 - 2007

Published: Aug. 22, 2023

Abstract In many situations, species distribution models need to make use of multiple data sources address their objectives. We developed a spatio-temporal modelling framework that integrates research survey and collected by observers onboard fishing vessels while accounting for physical barriers (islands, convoluted coastlines). demonstrated our two bycatch in New Zealand deepwater fisheries: spiny dogfish (Squalus acanthias) javelinfish (Lepidorhynchus denticulatus). Results indicated employing observer-only or integrated is necessary map fish biomass at the scale exclusive economic zone, interpolate local indices (e.g., east coast South Island) years with no but available observer data. also showed that, if enough are available, fisheries analysts should: (1) develop both an model relying on survey-only data; (2) given geographic area, ultimately choose index produced based reliability interannual variability index. conducted simulation experiment, which predictions virtually insensitive consideration barriers.

Language: Английский

Citations

7