Northern red snapper - Southeastern Atlantic coast of USA|
Fact Sheet Title Fact Sheet |
| | Northern red snapper - Southeastern Atlantic coast of USA |
| Data Ownership | This document provided, maintained and owned by Food and Agriculture Organization (FAO) , is part of WECAFC Stock Status Reports data collection. |
| ident Block | ident Block | | Species List: | Species Ref: en - Northern red snapper, fr - Vivaneau campèche, es - Pargo del Golfo |
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| ident Block Northern red snapper - Southeastern Atlantic coast of USA
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Large Marine Ecosystem Areas (LME) |
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6 | Southeast U.S. Continental Shelf |
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| Aq Res | Biological Stock: Yes
Value: National Management unit: Yes
Reference year: 2014
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Considered a management unit: An aquatic resource or fishery is
declared as [Fishery] Management Unit if it is
effectively the focus for the application of selected
management methods and measures, within the broader
framework of a management system. According to the FAO
Glossary for Responsible Fishing, "a Fishery Management
Unit (FMU) is a fishery or a portion of a fishery
identified in a Fishery Management Plan (FMP) relevant
to the FMP's management objectives." FMU's may be
organised around fisheries biological, geographic,
economic, technical, social or ecological dimensions ,
and the makeup and attribute of a fishery management
unit depends mainly on the FMP's management
objectives. |
Jurisdictional distribution: Jurisdictional qualifier (e.g.
"shared", "shared - highly migratory") of the aquatic
resource related with its spatial distribution. |
Environmental group: Classification of the aquatic
resource according to the environmental group (e.g.
pelagic invertebrate, or demersal fish) to which the
species belong. |
Reference Year: The Reference Year is the last year considered in the stock assessment and/or fishery status. |
| | | | Aq Res State Trend For Northern red snapper (Lutjanus campechanus) the most recent assessments estimated that the USA South Atlantic stock was overfished and experiencing overfishing (SEDAR, 2017b). Habitat Bio Climatic Zone: Tropical. Vertical Dist: Demersal. Water Area Overview | Water Area Overview Northern red snapper - Southeastern Atlantic coast of USA
Large Marine Ecosystem Areas (LME) | 6: Southeast U.S. Continental Shelf |
| | | | Water Area Overview
| | | | Water Area Overview |
Water Area OverviewNorthern red snapper - Southeastern Atlantic coast of USA Aq Res Struct Biological Stock: Yes Bio Assess Uncertainty: Intermediate Data Data up to 2014. Landings of Northern red snapper in the US southeast Atlantic represent less than 1% of total landings in FAO area 31. The catch-age model included data from three fleets that caught Red Snapper in southeastern U.S. waters: general recreational (charter and private boat), commercial handlines (hook-and-line), and recreational headboats. The model was fitted to data on annual landings (in numbers for the recreational fleets, in whole weight for commercial fleet); annual discards (in numbers for all fleets), annual length compositions of removals; annual age compositions of landings and surveys; three fishery dependent indices of abundance (commercial handlines, headboat, and headboat discards); and one fishery independent index of abundance (combined SERFS chevron trap and SERFS video index). Removals included landings and dead discards, assuming the mortality rates provided by the Data Workshop. Data used in the model are tabulated in §2 of this report. Data sources supplied to a production model include a time series of removals (i.e. landings plus dead discards) and one or more indices of abundance (i.e. catch per unit of effort). The available removals time series comprised commercial landings (1950-2014), recreational landings (1955-2014), commercial dead discards (1992-2014), and recreational dead discards (1981-2014), in pounds, summed by year. Assess Models Type: Age-structured Beaufort Assessment Model The primary model discussed during the Assessment Workshop (AW) was a statistical catch-age model implemented using the Beaufort Assessment Model (BAM) software (Williams and Shertzer 2015). BAM applies a statistical catchage formulation, coded using AD Model Builder (Fournier et al. 2012). BAM is referred to as an integrated analysis because it uses all population dynamics-relevant data (e.g. removals, length and age compositions, and indices of abundance) in a single modeling framework. Assess Models Type: Biomass-aggregated Logistic Surplus Production Model A logistic surplus production model, implemented in ASPIC (Version 7.03; Prager 2005), was used to estimate stock status of Red Snapper off the southeastern U.S. While primary assessment of the stock was performed using the age-structured BAM, the surplus production approach was intended as a complement, for additional comparison with the age-structured model’s results. More specifically, this model focuses on the dynamics of the removals as they relate to the indices of abundance, while ignoring any age data or age-structure in the population. Results Measures of Overall Model Fit - In general, the Beaufort assessment model (BAM) fit well to the available data. Predicted length compositions from the commercial handline and discards from the commercial and headboat fleets were reasonably close to observed data in most years, as were predicted age compositions (Figure 3). The model was configured to fit observed commercial and recreational removals closely (Figures 4–9). Fits to indices of abundance generally captured the observed trends but not all annual fluctuations (Figures 10–13). - Status of the Stock and Fishery - Estimated time series of stock status SSB/SSBF30% showed general decline throughout the beginning of the assessment period, a leveling off, and then a modest increase since 2010 (Figure 37, Table 10). Base-run estimates of spawning biomass have remained below the threshold (MSST) since the early-1970s. Current stock status was estimated in the base run to be SSB/SSBF30% = 0.15 (Table 24), indicating that the stock has not yet recovered to SSBF30%. Median values from the MCB analysis indicated similar results SSB/SSBF30% = 0.16. The uncertainty analysis suggested that the terminal estimate of stock status is robust (Figures 38, 39). Of the MCB runs, 100% indicated that the stock was below SSBF30% in 2014. Age structure estimated by the base run showed fewer older fish in the last few decades than the (equilibrium) age structure expected at LF30% (Figure 40). However, there is improvement in the terminal year (2014), particularly for ages younger than ten. The estimated time series of F/F30% suggests that overfishing has occurred throughout most of the assessment period (Table 10, Figure 37). Current fishery status in the terminal year, with current F represented by the geometric mean from 2012–2014, was estimated by the base run to be F/F30% = 2.7 (Table 24). The fishery status was also robust (Figures 38, 39). Of the MCB runs, approximately 99.1% agreed with the base run that the stock is currently experiencing overfishing. - Interpretation - Status indicators in the continuity run (318), agree with the surplus production model from SEDAR 24 that South Atlantic Red Snapper were overfished and undergoing overfishing in 2009 (Table 32). However, in the updated continuity run (319), which is identical to the continuity run except for the 2010-2014 addition of landings data from 2010-2014, the surplus production model suggests that the stock is no longer overfished or undergoing overfishing. Despite several differences between the updated continuity run and the best configuration run (320), described above, most of the parameter estimates and status indicators are similar (Table 32). However the model estimate of B1/K is much lower in the best configuration run, driven by a lower estimate of B1. After observing this difference, run 323 was configured by taking the best configuration run and fixing B1/K at the estimate from the continuity run to investigate potential influence. Fixing B1/K at this much lower value had little effect on status or most parameters, but caused the estimate of B1 to go much lower. As described above, the only data that go into a surplus production model are biomass of removals and abundance indices. Therefore such a model does not make use of many other sources of information such as sex, maturity, growth, fecundity, or population age and size structure. Because such data are available for Red Snapper, a model that uses them would be preferred for a detailed assessment on which to base management. - Surplus Production Model - Model Fit - For the best configuration run, model predictions underestimated observed values for the headboat index for the first ten years of the time series (1976-1985; Figure 63). They also underestimated the commercial index during the first five years of that series (1993-1997), while overestimating the headboat index for those same years. The model provided a very poor fit to the headboat-at-sea discard index (2006-2014) but produced a much better fit to the upweighted CVID index (2005-2014). The model did not fit high index values in 2008 and 2009 very closely, but predicted a slight decline from 2007-2009 followed by an increasing trend from 2010 to 2014. - Surplus Production Model - Status of the Stock and Fishery - In the current best configuration run of the surplus production model, B/BMSY is greater than one, suggesting that the South Atlantic stock of Red Snapper is not overfished. The 95% bootstrap percentile confidence intervals for B/BMSY do not contain one (Figure 65). Since the surplus production model estimates that F/FMSY is less than one, the stock is considered to not be undergoing overfishing (Table 32; Figure 66). The 95% bootstrap percentile confidence intervals for F/FMSY do not contain one (Figure 65). Sci Advice • Increased fishery independent information, particularly maintaining reliable indices of abundance and composition data streams. • Red Snapper were modeled in this assessment as a unit stock off the southeastern U.S. For any stock, variation in exploitation and life-history characteristics might be expected at finer geographic scales. Modeling such sub-stock structure would require more data, such as information on the movements and migrations of adults and juveniles, as well as spatial patterns of larval dispersal and recruitment. In addition, it is unclear whether a spatial model would improve the assessment. • More research to describe the juvenile life history of Red Snapper is needed, including more work to identify the location of juveniles before they recruit to the fishery. • The effects of environmental variation on the changes in recruitment or survivorship. • The Florida sampling program, during the miniseason in particular, provided invaluable data to this assessment. Programs such as these would be useful in all South Atlantic states, particularly if the management regulations continue to make established methods of index development or composition sampling from fleets less regular or possible. Management Management unit: Yes Sources FAO. Western Central Atlantic Fishery Commission. 2019. Review of the state of fisheries and fisheries resources in the WECAFC region. Meeting document WECAFC/SAG/IX/2018/3 of the ninth session of the Scientific Advisory Group, Christ Church, Barbados, 19-20 November 2018. http://www.fao.org/fi/static-media/MeetingDocuments/WECAFC/SAG2018/3e.pdfSEDAR. 2017b. Stock Assessment of Red Snapper off the Southeastern United States. SEDAR Benchmark Assessment. Southeast Fisheries Science Center. National Marine Fisheries Service. 145 pp. https://safmc.net/download/Briefing%20Book%20SSC%20Apr%202017/A19_RS_Base_Run_Correction_April2017.pdf Bibliography FAO. Western Central Atlantic Fishery Commission/FAO Commission des pêches pour l’Atlantique Centre-Ouest/FAO Comisión Central de Pesca para el Atlántico CentroOccidental. 2019. Report of the ninth session of the Scientific Advisory Group, Christ Church, Barbados, 19-20 November 2018. Rapport de la neuvième session du Groupe scientifique consultatif, Christ Church, Barbade, 19-20 Novembre 2018. Informe de la octava sesión del Grupo Asesor Científico, Christ Church, Barbados, 19-20 de Noviembre de 2018. FAO Fisheries and Aquaculture Report/Rapport sur les pêches et l’aquaculture/Informe de Pesca y Acuicultura. No. 1266. Bridgetown, 156 pp. http://www.fao.org/3/ca4776t/ca4776t.pdfAll references to figures, tables and bibliography in the text are found within the source of information. |
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