Untangling multi-species fisheries data with species distribution models DOI Creative Commons
Matthew N. McMillan, Susannah M. Leahy, Kyle B. Hillcoat

et al.

Reviews in Fish Biology and Fisheries, Journal Year: 2024, Volume and Issue: 34(3), P. 1133 - 1148

Published: May 15, 2024

Abstract Long-term trends in fisheries catch are useful to monitor effects of fishing on wild populations. However, data often aggregated multi-species complexes, complicating assessments individual species. Non-target species grouped together this way, but becomes problematic when increasingly common shifts toward targeting incidental demand closer management focus at the level. Species distribution models (SDMs) offer an under-utilised tool allocate among for assessments. Here, we present a case study two shovel-nosed lobsters ( Thenus spp.), previously caught incidentally and recorded logbook records, illustrate design use allocation SDMs untangle stock We demonstrate how reveal masked species-specific from can identify behaviour, e.g., changes target Finally, review key assumptions limitations approach that may arise applied across broad geographic or taxonomic scope. Our aim is provide template assist researchers managers seeking assess stocks using data.

Language: Английский

Good practices for surplus production models DOI Creative Commons
Alexandros Kokkalis, Casper Willestofte Berg, Maia Kapur

et al.

Fisheries Research, Journal Year: 2024, Volume and Issue: 275, P. 107010 - 107010

Published: April 6, 2024

Surplus production models (SPMs) have a long history in fisheries ecology and are important for the assessment management of marine species stocks. However, implementation, application, usage these vary across regions case studies. Good practice guidelines can streamline modelling workflows, inform acceptance or rejection an assessment, facilitate derivation advice from accepted assessments. This paper discusses current practices application SPMs proposes good their use stock assessment. We complement our recommendations with results simulation study examining performance age-based operating model SPM under 60 scenarios various assumptions regarding data quantity, quality, priors. provide specific two widely used state-space SPMs: SPiCT JABBA. Finally, we discuss limitations suggest avenues future developments SPMs.

Language: Английский

Citations

10

Lessons to be learned by comparing integrated fisheries stock assessment models (SAMs) with integrated population models (IPMs) DOI Creative Commons
Michael Schaub, Mark N. Maunder, Marc Kéry

et al.

Fisheries Research, Journal Year: 2024, Volume and Issue: 272, P. 106925 - 106925

Published: Jan. 5, 2024

Integrated fisheries stock assessment models (SAMs) and integrated population (IPMs) are used in biological ecological systems to estimate abundance demographic rates. The approaches fundamentally very similar, but historically have been considered as separate endeavors, resulting a loss of shared vision, practice progress. We review the two identify similarities differences, with view identifying key lessons that would benefit more generally overarching topic ecology. present case study for each SAM (snapper from west coast New Zealand) IPM (woodchat shrikes Germany) highlight differences similarities. between SAMs IPMs appear be objectives parameter estimates required meet these objectives, size spatial scale populations, differing availability various types data. In addition, up now, typical applied aquatic habitats, while most stem terrestrial habitats. aim assess level sustainable exploitation fish so absolute or biomass must estimated, although some only relative trends. Relative is often sufficient understand dynamics inform conservation actions, which main objective IPMs. small populations concern, where uncertainty can important, conveniently implemented using Bayesian approaches. typically at moderate scales (1 104 km2), possibility collecting detailed longitudinal individual data, whereas large, economically valuable stocks large (104 106 km2) limited There sense data- (or information-) hungry than an because its goal abundance, data rates difficult obtain (often marine) applied. therefore require 'tuning' assumptions IPMs, 'data speak themselves', consequently techniques such weighting model evaluation nuanced being fit disaggregated quantify variation allow richer inference on processes. attempts example by unconditional capture-recapture

Language: Английский

Citations

9

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

Standardization of commercial catch data from multiple gears in mixed fisheries accounting for preferential sampling, catchability, and fishing effort DOI Creative Commons
Alexis Lazaris, George Tserpes, Stefanos Kavadas

et al.

Fisheries Research, Journal Year: 2025, Volume and Issue: 284, P. 107305 - 107305

Published: Feb. 24, 2025

Language: Английский

Citations

0

Trends and drivers of French tropical tuna purse-seine vessel behavior in the Atlantic and Indian Oceans, 2004–2020 DOI
Wencheng Lau-Medrano, Daniel Gaertner,

Francis Marsac

et al.

Fisheries Research, Journal Year: 2025, Volume and Issue: 285, P. 107330 - 107330

Published: March 17, 2025

Language: Английский

Citations

0

Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River DOI

Robert D. Hunter,

Song S. Qian, Jason L. Fischer

et al.

Fisheries Research, Journal Year: 2025, Volume and Issue: 285, P. 107344 - 107344

Published: March 23, 2025

Language: Английский

Citations

0

Limited Demographic Effects One Decade After Implementation of a Harvest‐Slot Length Limit for Walleye (Sander vitreus) in the St. Lawrence River, Québec, Canada DOI Open Access
Julien Mainguy, Yves Paradis, Rafael de Andrade Moral

et al.

Fisheries Management and Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: March 23, 2025

ABSTRACT Although the role of recreational harvest on size structure declining fish populations is often unclear, bag and limits are implemented to prevent overharvest. Long‐term monitoring periodic assessments stock status then become necessary evaluate their potential impacts. Based a long‐term gillnet program in St. Lawrence River, Québec, Canada, effects 381–545 mm harvest‐slot length limit 2011 were evaluated walleye ( Sander vitreus ). Mixed‐effects models revealed continued declines abundance large walleyes, distribution, total annual mortality, female growth, condition, size‐at‐maturity. Expected impacts mostly not achieved, potentially because environmental trophic interaction changes addition increasing fishing pressure. Our results highlight need reassess current fisheries management strategies.

Language: Английский

Citations

0

Decadal population depletion, size class reduction, and range contraction of the giant yellow croaker in China: Implications for conservation and management DOI
Yi-Ning Chen, Yujie Guo, Minhui Li

et al.

Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 265, P. 107659 - 107659

Published: March 26, 2025

Language: Английский

Citations

0

Enhancing catch-based stock assessment in data-limited fisheries with proxy CPUE indicators in the Yellow Sea DOI Creative Commons
Kun Wang, Qi Li, Chongliang Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 1, 2025

Catch-based methods are widely used in marine fisheries management, particularly for assessing fish stock status data-limited fisheries. However, their reliability remains controversial, especially when only catch data available. In with inadequate monitoring, Catch Per Unit Effort (CPUE) often unavailable, despite the potential availability of total fishing effort records entire areas. Here, we evaluate a proposed proxy-CPUE indicator, defined as ratio to metrics, substitute CPUE enhance catch-based methods. Using chub mackerel (Scomber japonicus) Yellow Sea case study, developed indicators using three types large-scale metrics: Gross Vessel Count (GVC), Power (GVP), and Target (TVC). These were incorporated into Bayesian state-space Schaefer surplus production model (BSM) performance was compared catch-only (CMSY) across key evaluation criteria, including robustness estimation, retrospective analyses, encountering observation errors. Additionally, conducted simulations assess impact dynamic catchability, demonstrating that remain robust even catchability varies over time. Results indicate substantially improves estimates, by mitigating high errors—reducing estimate variations 50% Both GVC-based GVP-based demonstrated reliable analyses. This study provides practical scalable solution management facing similar constraints.

Language: Английский

Citations

0

Assessment of Catch Composition and Fishing Effort (CPUE) in the Small-Scale Fisheries of Hawks Bay, in the northern Arabian Sea DOI
Imtiaz Kashani, Sher Khan Panhwar, Asadullah Ali Muhammad

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Abstract The study determines catch composition of the small-scale fisheries from Hawks Bay in northern Arabian Sea by means per unit effort (CPUE). Seasonal data collection February to December 2024 using a 2.5 cm mesh gill net deployed for one hour small commercial fishing boat. total was 31.82 kg, comprising 26 families and 49 species. target species consisted 1.87 kg with 4 species, while bycatch contained 29.95 composed 45 25 different families. revealed that seasonal CPUE (Ponyfish) varied differed significantly weight length. most abundant Karalla daura found all seasons, but remaining were specific time period. Although Banded Ilisha, Ilisha striatula, is predominant on coast Hawk’s Bay. Anderson-Darling test applied variations statistics, which showed highest mean value SIM (110.1), 74.47 AIM, Lowest SWM (61.76). This disparity suggests variability pronounced SIM, reflecting greatest fluctuations. However, including ecologically critical crucial food web production, remained unstable. Therefore, implementing effective management strategies is essential ensure sustainable harvesting these

Language: Английский

Citations

0