Catch per unit effort modelling for stock assessment: A summary of good practices

Fisheries Research, Год журнала: 2023, Номер 269, С. 106860 - 106860

Опубликована: Сен. 30, 2023

Язык: Английский

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Combining scientific survey and commercial catch data to map fish distribution

ICES Journal of Marine Science, Год журнала: 2022, Номер 79(4), С. 1133 - 1149

Опубликована: Фев. 15, 2022

Abstract Developing Species Distribution Models (SDM) for marine exploited species is a major challenge in fisheries ecology. Classical modelling approaches typically rely on fish research survey data. They benefit from standardized sampling design and controlled catchability, but they usually occur once or twice year may sample relatively small number of spatial locations. Spatial monitoring commercial data (based logbooks crossed with Vessel Monitoring Systems) can provide an additional extensive source to inform distribution. We propose hierarchical framework integrating both sources while accounting preferential (PS) From simulations, we demonstrate that PS should be accounted estimation when actually strong. When far exceed scientific data, the later bring little information predictions areas sampled by low fishing intensity validation dataset assess integrated model consistency. applied three demersal (hake, sole, squids) Bay Biscay emphasize contrasted account several fleets varying catchabilities behaviours.

Язык: Английский

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Projecting species distributions using fishery‐dependent data

Fish and Fisheries, Год журнала: 2022, Номер 24(1), С. 71 - 92

Опубликована: Окт. 13, 2022

Abstract Many marine species are shifting their distributions in response to changing ocean conditions, posing significant challenges and risks for fisheries management. Species distribution models (SDMs) used project future the face of a climate. Information fit SDMs generally comes from two main sources: fishery‐independent (scientific surveys) fishery‐dependent (commercial catch) data. A concern with data is that fishing locations not independent underlying abundance, potentially biasing predictions distributions. However, resources surveys increasingly limited; therefore, it critical we understand strengths limitations developed We simulation approach evaluate potential inform abundance estimates quantify bias resulting different sampling scenarios California Current System (CCS). then evaluated ability changes spatial over time compare scale which model performance degrades between as function climate novelty. Our results show generated can still result high predictive skill several decades into future, given specific forms preferential low Therefore, may be able supplement information reduced or eliminated budgetary reasons future.

Язык: Английский

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Construction of CPUE standardization model and its simulation testing for chub mackerel (Scomber japonicus) in the Northwest Pacific Ocean

Ecological Indicators, Год журнала: 2023, Номер 155, С. 111022 - 111022

Опубликована: Окт. 9, 2023

Standardized catch per unit effort (CPUE) data not only yield precise and biologically meaningful abundance indices but also provide crucial insights into the spatio-temporal distribution of fisheries resources, critical for their sustainable utilization management. In this study, we integrated chub mackerel fishery statistics from Northwest Pacific Ocean (NPO) marine remote sensing environmental data, constructed CPUE standardization models based on generalized linear mixed model (GLMM) GLMM (Vector Autoregressive Spatio-Temporal, VAST) evaluated performance. is a statistical technique extending GLM with random effects complex datasets non-independent observations correlations or hierarchies. The VAST multivariate time series at different spatial locations, displaying both temporal autocorrelation dependence. Additionally, influence analysis simulation testing were employed to quantify explanatory variables differences between nominal standardized CPUE, assess estimation accuracy in standardization, respectively. Finally, pattern NPO was analyzed by estimating centers gravity (COGs). results indicated that: 1) containing all considered best smallest conditional Akaike Information Criterion (CAIC), while model, covariate SST, performed best. 2) Interactions year variable VAST, exerted notable annual should be accounted model. 3) Based results, exhibited lower error (root mean square error, RMSE) bias, outperforming standardization. 4) From 2014 2018, high biomass density widely distributed throughout almost entire NPO, which shifted central-north region 2019 2021. There no significant northing easting shift COGs population (P > 0.05). findings research enhance our understanding variations resource patterns NPO.

Язык: Английский

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Predicting important fishing grounds for the small-scale fishery, based on Automatic Identification System records, catches, and environmental data

ICES Journal of Marine Science, Год журнала: 2024, Номер 81(3), С. 453 - 469

Опубликована: Фев. 8, 2024

Abstract Effective and sustainable management of small-scale fisheries (SSF) is challenging. We describe a novel approach to identify important fishing grounds for SSF, by implementing habitat modelling approach, using environmental predictors Automatic Identification System (AIS)-B data coupled with logbook First Sales Notes data, within the SE Bay Biscay. Fishing activity patterns catches longliners netters are used determine main characteristics grounds, implemented predict zones that fulfil similar across larger geographical extent. Generalized additive mixed models (GAMMs) were built 24 fish species, other and, thus, could be considered relevant species targeted each gear type. Most showed good prediction capacity. The included between one four predictor variables. ‘Depth mixing layer’ ‘benthic rocky habitat’ variables more frequently captured netter’s fleet. For longliners, ‘seafloor slope’ two most predictive maps provide information assist in marine spatial planning.

Язык: Английский

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Spatially varying catchability for integrating research survey data with other data sources: case studies involving observer samples, industry-cooperative surveys, and predators as samplers

Canadian Journal of Fisheries and Aquatic Sciences, Год журнала: 2023, Номер unknown

Опубликована: Июнь 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.

Язык: Английский

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Spatiotemporal dynamics of dolphinfish (Coryphaena hippurus) in the western Atlantic Ocean

Fishery Bulletin, Год журнала: 2024, Номер 122(1-2), С. 26 - 43

Опубликована: Апрель 3, 2024

Dolphinfish (Coryphaena hippurus) are caught throughout the western Atlantic Ocean over varying spatial and temporal scales.Prior attempts to quantify population dynamics of dolphinfish in this region have been inhibited by an inability model spatiotemporal stock.We fit a seasonal vector autoregressive (VAST) dolphinfish, estimate standardized relative indices abundance during 1986-2022 at regional scales, changes distribution.The magnitude was greatest spring summer northern strata comparable seasons southern strata.Abundance appeared be stable 1986-2018 then declined 2019-2022.This trend occurred all regions, except for waters from Cape Hatteras, North Carolina, border Georgia, where remained 2019-2022.No shift distribution detected, but patterns provide insight into timing availability.This study resulted first index capture dolphinfish.These results increased our understanding species should prove useful future manage different scales.

Язык: Английский

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Lower thermal tolerance restricts vertical distributions for juvenile albacore tuna (Thunnus alalunga) in the northern limit of their habitats

Frontiers in Marine Science, Год журнала: 2024, Номер 11

Опубликована: Май 7, 2024

Introduction Evaluating the thermal tolerance of commercially valuable tuna species and their behavioral responses to limits this is essential for evaluating effects changes in water temperature driven by global climate change on distribution fisheries. We aimed identify lower ( T min ) juvenile albacore (ALB) evaluate response focusing wild behavior northern distributional limit. Additionally, we investigated how vertical linked vulnerability ALB Japanese longline (LL) pole-and-line (PL) Methods explored swimming depths temperatures four previously reported tagged individuals migrating from subtropical temperate areas identified its column as unfavorable D Tmin ). To investigate spatial patterns fishery grounds LL PL fisheries, analyzed hotspots specific each type gear using historical logbook both Results Comparisons between two fisheries revealed that appeared areas, while were southern regions. also discovered became shallow high-latitude which strongly affected shallowing at high latitudes. Discussion These results provide evidence a among avoids remaining surface. discuss implications latitudinal terms overlapping depth habitats gear-setting fishery.

Язык: Английский

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Evaluating the impacts of reduced longline fishing effort on the standardization of longline catch-per-unit-effort for bigeye tuna in the eastern Pacific Ocean

Fisheries Research, Год журнала: 2024, Номер 278, С. 107111 - 107111

Опубликована: Июль 18, 2024

Язык: Английский

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Predicting unseen chub mackerel densities through spatiotemporal machine learning: Indications of potential hyperdepletion in catch-per-unit-effort due to fishing ground contraction

Ecological Informatics, Год журнала: 2024, Номер 85, С. 102944 - 102944

Опубликована: Дек. 9, 2024

Язык: Английский

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