A framework to investigate fishery dynamics and species size and age spatio-temporal distribution patterns based on daily resolution data: a case study using Northeast Atlantic horse mackerel

In this study, we present an innovative framework to obtain essential biological knowledge on exploited populations, based on fine scale spatio-temporal resolution in biological and fishery data. The framework uses species sales notes by commercial size category, the length and age composition of commercial sizes from onshore sampling and the fishing ground and fishing effort from vessel monitoring system records. We apply the framework to horse mackerel (Trachurus trachurus), one of the most important commercially exploited stocks throughout the Northeast Atlantic, using data collected during 2017 in Portuguese waters. We show that high-resolution mapping of the species annual landings by commercial size category and age group can already reveal different distribution patterns by life stage. We further examined, with daily resolution, the variability in the proportion of adult fish by trip, finding differences along the coast and a seasonal pattern indicating that spawning occurred mainly over the slope and adult horse mackerel dominated in the South zone over the year. The framework can be applied to an extended stock area and for several years to investigate migration patterns across areas as well as intra- and inter-annual changes in the species overall distribution. In addition, its application on a trip basis for the species ensemble landed can provide overriding information for the accuracy of mixed fisheries models and management.

• Publication year

  2020

• Venue

  Ices Journal of Marine Science

• Publication date

  2020-10-28

• Fields of study

  Biology, Geography, Environmental Science

• Identifiers
  DOI 10.1093/icesjms/fsaa170
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Spatial and temporal distribution patterns of brown shrimp (Crangon crangon) derived from commercial logbook, landings, and vessel monitoring data

  2020cited by this paper
• Are shifts in species distribution triggered by climate change? A swordfish case study

  2020cited by this paper
• Assessing spatio-temporal changes in marine communities along the Portuguese continental shelf and upper slope based on 25 years of bottom trawl surveys.

  2020cited by this paper
• Determining spatial patterns in recreational catch data: a comparison of generalized additive mixed models and boosted regression trees

  2020cited by this paper
• A multi-stock harvest control rule based on “pretty good yield” ranges to support mixed-fisheries management

  2019cited by this paper
• Defining métier for the Celtic Sea mixed fisheries: A multiannual international study of typology

  2019cited by this paper
• Mean Size of the Landed Catch: A Fishery Community Index for Trend Assessment in Exploited Marine Ecosystems

  2019cited by this paper
• Simulating the Effects of Alternative Management Measures of Trawl Fisheries in the Central Mediterranean Sea: Application of a Multi-Species Bio-economic Modeling Approach

  2019cited by this paper
• Trends in the activity pattern, fishing yields, catch and landing composition between 2009 and 2013 from onboard observations in the Portuguese purse seine fleet

  2018cited by this paper
• The utility of spatial model‐based estimators of unobserved bycatch

  2018cited by this paper
• Accounting for preferential sampling in species distribution models

  2018cited by this paper
• Spatial separation of catches in highly mixed fisheries

  2018cited by this paper
• Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat

  2017cited by this paper
• Mismatch between VMS data temporal resolution and fishing activity time scales

  2017cited by this paper
• A Systematic Review of Marine-Based Species Distribution Models (SDMs) with Recommendations for Best Practice

  2017cited by this paper
• Addressing Uncertainty in Marine Resource Management; Combining Community Engagement and Tracking Technology to Characterize Human Behavior

  2017cited by this paper
• The EU landing obligation and European small-scale fisheries: What are the odds for success?

  2016cited by this paper
• Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring

  2016cited by this paper
• Estimating seabed pressure from demersal trawls, seines, and dredges based on gear design and dimensions

  2016cited by this paper
• The Potential for Spatial Distribution Indices to Signal Thresholds in Marine Fish Biomass

  2015cited by this paper
• Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co-occurrence.

  2015cited by this paper
• Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range

  2015cited by this paper
• Smoothing Parameter and Model Selection for General Smooth Models

  2015cited by this paper
• Classes and Methods for Spatial Data

  2015cited by this paper
• Discards composition from Iberian trawl fleets

  2015cited by this paper
• A framework for mapping small-scale coastal fisheries using fishers' knowledge

  2014cited by this paper
• Small scale fisheries in Europe: A comparative analysis based on a selection of case studies

  2013cited by this paper
• Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models

  2013cited by this paper
• Spatial patterns in the retained catch composition of Irish demersal otter trawlers: High-resolution fisheries data as a management tool

  2012cited by this paper
• Spatial predictions of blue shark (Prionace glauca) catch rate and catch probability of juveniles in the Southwest Atlantic

  2011cited by this paper
• Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution

  2011cited by this paper
• Does size matter? A bioeconomic perspective on optimal harvesting when price is size-dependent

  2011cited by this paper
• Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

  2010cited by this paper
• Estimation of the spawning grounds of chub mackerel Scomber japonicus and spotted mackerel Scomber australasicus in the East China Sea based on catch statistics and biometric data

  2009cited by this paper
• Relationship Between Ex-vessel Value and Size Composition of Annual Landings of Shrimp From the Gulf and South Atlantic Coasts

  2008cited by this paper
• Applied Spatial Data Analysis with R - Second Edition

  2008cited by this paper
• Ontogenic migrations of horse mackerel along the Iberian coast

  2008cited by this paper
• Methods to account for spatial autocorrelation in the analysis of species distributional data : a review

  2007cited by this paper
• Analysis of horse mackerel, blue whiting, and hake catch data from Portuguese surveys (1989–1999) using an integrated GLM approach

  2007cited by this paper
• Physical oceanography of the western Iberia ecosystem: Latest views and challenges

  2007cited by this paper
• Demersal assemblages off portugal : Mapping, seasonal, and temporal patterns

  2005cited by this paper
• Growth and reproduction of horse mackerel, Trachurus trachurus (carangidae)

  2003cited by this paper
• The Effect of Concurvity in Generalized Additive Models Linking Mortality to Ambient Particulate Matter

  2003cited by this paper
• Stock size fluctuations in chub mackerel (Scomber japonicus) in the East China Sea and the Japan ⁄East Sea

  2002cited by this paper
• Quantitative Fisheries Stock Assessment

  1992cited by this paper
• METHODOLOGICAL PROBLEMS IN SAMPLING COMMERCIAL ROCKFISH LANDINGS

  1986cited by this paper
• A preliminary assessment of the shallow water prawn stocks off Mocambique, North of Beira

  1980cited by this paper

• Investigating fish reproduction phenology and essential habitats by identifying the main spatio-temporal patterns of fish distribution

  2024cites this paper
• HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data

  2024cites this paper
• Southern Horse Mackerel (Trachurus trachurus) Spatio-Temporal Distribution Patterns Based on Fine-Scale Resolution Data

  2024cites this paper
• Morphometrical characters of Atlantic horse mackerel Trachurus trachurus (Linnaeus, 1758), in the North Atlantic zone of Morocco

  2024cites this paper
• Habitat changes and catch rate variability for greater amberjack in the Taiwan Strait: The effects of El Niño–southern oscillation events

  2023cites this paper
• Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of Raja clavata

  2023cites this paper
• Variability in the Spatiotemporal Distribution Patterns of Greater Amberjack in Response to Environmental Factors in the Taiwan Strait Using Remote Sensing Data

  2022cites this paper
• Onshore biological sampling of landings by species and size category within auction sites can be more efficient than trip-based concurrent sampling

  2021cites this paper