Estimation of maximum sustainable yield of Gelidium robustum seaweed fishery in Mexico

2005 ◽  
Vol 85 (4) ◽  
pp. 775-778 ◽  
Author(s):  
M. Casas-Valdez ◽  
D. Lluch-Belda ◽  
S. Ortega-García ◽  
S. Hernández-Vázquez ◽  
E. Serviere-Zaragoza ◽  
...  
Keyword(s):  
Dynamic Model ◽  
West Coast ◽  
Baja California ◽  
Maximum Sustainable Yield ◽  
Sustainable Yield ◽  
Red Seaweed ◽  
The West ◽  
Surplus Production ◽  
Production Models ◽  
Gelidium Robustum

Surplus production models were used to assess the fishery condition of red seaweed Gelidium robustum off the west coast of the Baja California Peninsula from 1985 to 1997. The maximum sustainable yield and optimum effort estimated by the Schaefer model were 705 tn and 457 teams, while the Fox model estimated 670 tn and 510 teams. The determination coefficients were r2=0·62 for the Fox and r2=0·58 for the Schaefer model. These results suggest that the resource is not overexploited. Fitting the data to Hilborn & Walters' dynamic model was not satisfactory.

scholarly journals Comment on “Impacts of historical warming on marine fisheries production”

Science ◽  
2019 ◽  
Vol 365 (6454) ◽  
pp. eaax5721 ◽  
Author(s):  
Cody Szuwalski
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Maximum Sustainable Yield ◽  
Structured Data ◽  
Sea Surface ◽  
Sustainable Yield ◽  
Surplus Production ◽  
Production Models ◽  
Fitting Production ◽  
Age Structured

Free et al. (Reports, 1 March 2019, p. 979) linked sea surface temperature (SST) to surplus production and estimated a 4% decline in maximum sustainable yield (MSY) since 1930. Changes in MSY are expected when fitting production models to age-structured data, so attributing observed changes to SST is problematic. Analyses of recruitment (a metric of productivity in the same database) showed increases in global productivity.

Fitting Surplus Production Models: Comparing Methods and Measuring Uncertainty

1993 ◽  
Vol 50 (12) ◽  
pp. 2597-2607 ◽  
Author(s):  
Tom Polacheck ◽  
Ray Hilborn ◽  
Andre E. Punt
Keyword(s):  
Maximum Sustainable Yield ◽  
Parameter Estimates ◽  
Error Estimator ◽  
Sustainable Yield ◽  
Observation Error ◽  
Error Estimators ◽  
Averaging Methods ◽  
Surplus Production ◽  
Production Models ◽  
Process Error

Three approaches are commonly used to fit surplus production models to observed data: effort-averaging methods; process-error estimators; and observation-error estimators. We compare these approaches using real and simulated data sets, and conclude that they yield substantially different interpretations of productivity. Effort-averaging methods assume the stock is in equilibrium relative to the recent effort; this assumption is rarely satisfied and usually leads to overestimation of potential yield and optimum effort. Effort-averaging methods will almost always produce what appears to be "reasonable" estimates of maximum sustainable yield and optimum effort, and the r2 statistic used to evaluate the goodness of fit can provide an unrealistic illusion of confidence about the parameter estimates obtained. Process-error estimators produce much less reliable estimates than observation-error estimators. The observation-error estimator provides the lowest estimates of maximum sustainable yield and optimum effort and is the least biased and the most precise (shown in Monte-Carlo trials). We suggest that observation-error estimators be used when fitting surplus production models, that effort-averaging methods be abandoned, and that process-error estimators should only be applied if simulation studies and practical experience suggest that they will be superior to observation-error estimators.

Bayesian and Related Approaches to Fitting Surplus Production Models

1994 ◽  
Vol 51 (8) ◽  
pp. 1823-1831 ◽  
Author(s):  
John M. Hoenig ◽  
William G. Warren ◽  
Max Stocker
Keyword(s):  
Prior Distribution ◽  
Empirical Bayes ◽  
Fishing Effort ◽  
Maximum Sustainable Yield ◽  
Bayes Estimator ◽  
Production Model ◽  
Sustainable Yield ◽  
Cancer Magister ◽  
Surplus Production ◽  
Production Models

The Schaefer surplus production model relates equilibrium yield to fishing effort and can be fitted using just information on catch and fishing effort. Sometimes, the fitted model predicts a maximum sustainable yield (height of the parabola) that is clearly unrealistic. In this case, one may wish to use prior information on maximum sustainable yield either to constrain the height of the parabola or to provide a prior distribution for Bayesian estimation. To construct a Bayes estimator, one would generally specify a noninformative prior on the residual error variance and, possibly, on the width of the parabola; the prior distribution for height could be obtained by examining fisheries for similar stocks or species on a per unit area basis. Another possibility is to use an empirical Bayes estimator when data from several fisheries (e.g., individual lakes) are available for several years. The methodology is illustrated on catch and effort data for big-eye tuna (Thunnus obesus) and Dungeness crab (Cancer magister). The approach can be extended to other fishery models, including nonequilibrium production models. The prior distribution parameters can be allowed to depend on covariates.

Squat lobsters (Crustacea: Decapoda: Anomura: Galatheoidea) from off the northwestern coast of the Baja California Peninusla, Mexico

Zootaxa ◽  
2021 ◽  
Vol 4965 (2) ◽  
pp. 375-384
Author(s):  
MICHEL E. HENDRICKX
Keyword(s):  
West Coast ◽  
Gulf Of California ◽  
Baja California ◽  
Baja California Peninsula ◽  
The West ◽  
Western Mexico ◽  
Exploratory Survey ◽  
Northwestern Coast ◽  
First Time ◽  
Squat Lobsters

Four species of squat lobsters were collected off the northwestern coast of the Baja California Peninsula, Mexico, during an exploratory survey of fishing resources. Janethogalathea californiensis, described from California was previously known from off the west coast of the Baja California Peninsula (two localities) and from the Gulf of California (three localities). Of the three species of Munida collected during the survey, M. tenella is recorded off the west coast of the Baja California Peninsula for the first time. These are the fourth record of M. hispida and the second record of M. quadrispina in western Mexico.

Chemical and microbiological studies of sea-surface films in the Southern Gulf of California and off the West Coast of Baja California

1986 ◽  
Vol 19 (1) ◽  
pp. 17-98 ◽  
Author(s):  
P.M Williams ◽  
A.F Carlucci ◽  
S.M Henrichs ◽  
E.S Van Vleet ◽  
S.G Horrigan ◽  
...  
Keyword(s):  
West Coast ◽  
Gulf Of California ◽  
Baja California ◽  
Sea Surface ◽  
Surface Films ◽  
The West

scholarly journals Fisheries Reference Point and Stock Status of Croaker Fishery (Sciaenidae) Exploited from the Bay of Bengal, Bangladesh

2022 ◽  
Vol 10 (1) ◽  
pp. 63
Author(s):  
Partho Protim Barman ◽  
Md. Mostafa Shamsuzzaman ◽  
Petra Schneider ◽  
Mohammad Mojibul Hoque Mozumder ◽  
Qun Liu
Keyword(s):  
Bay Of Bengal ◽  
Maximum Sustainable Yield ◽  
Reference Points ◽  
Production Model ◽  
Fishing Pressure ◽  
Surplus Production ◽  
Stock Status ◽  
Management Measures ◽  
Production Models ◽  
The Monte Carlo Method

This research evaluated fisheries reference points and stock status to assess the sustainability of the croaker fishery (Sciaenidae) from the Bay of Bengal (BoB), Bangladesh. Sixteen years (2001–2016) of catch-effort data were analyzed using two surplus production models (Schaefer and Fox), the Monte Carlo method (CMSY) and the Bayesian state-space Schaefer surplus production model (BSM) method. This research applies a Stock–Production Model Incorporating Covariates (ASPIC) software package to run the Schaefer and Fox model. The maximum sustainable yield (MSY) produced by all models ranged from 33,900 to 35,900 metric tons (mt), which is very close to last year’s catch (33,768 mt in 2016). The estimated B > BMSY and F < FMSY indicated the safe biomass and fishing status. The calculated F/FMSY was 0.89, 0.87, and 0.81, and B/BMSY was 1.05, 1.07, and 1.14 for Fox, Schaefer, and BSM, respectively, indicating the fully exploited status of croaker stock in the BoB, Bangladesh. The representation of the Kobe phase plot suggested that the exploitation of croaker stock started from the yellow (unsustainable) quadrant in 2001 and gradually moved to the green (sustainable) quadrant in 2016 because of the reduction in fishing efforts and safe fishing pressure after 2012. Thus, this research suggests that the current fishing pressure needs to be maintained so that the yearly catch does not exceed the MSY limit of croaker. Additionally, specific management measures should implement to guarantee croaker and other fisheries from the BoB.

On some deep-sea Stenheliinae from the Gulf of California and the west coast of the Baja California Peninsula (Mexico): Wellstenhelia euterpoides sp. nov., and Wellstenvalia wellsi gen. et sp. nov. (Copepoda: Harpacticoida: Miraciidae)

Zootaxa ◽  
2021 ◽  
Vol 5051 (1) ◽  
pp. 117-150
Author(s):  
SAMUEL GÓMEZ ◽  
JOSÉ ANTONIO CRUZ-BARRAZA
Keyword(s):  
West Coast ◽  
Deep Sea ◽  
Gulf Of California ◽  
New Genus ◽  
Baja California ◽  
Baja California Peninsula ◽  
New Genus And Species ◽  
The West ◽  
Harpacticoid Copepods ◽  
One New Species

At present, only 11 species of harpacticoid copepods have been described from the deep sea of the Gulf of California and the west coast of the Baja California Peninsula. These efforts had until recently been focused exclusively on the families Ameiridae Boeck, Argestidae Por, and Rhizothrichidae Por. Preliminary analyses revealed also an important contribution of the subfamily Stenheliinae Brady (Miraciidae Dana) to the overall species richness and diversity of deep-sea benthic copepods from the west coast of the Baja California Peninsula, and the central and southern Gulf of California. One new species of the genus Wellstenhelia Karanovic & Kim, 2014, We. euterpoides sp. nov., and one new genus and species, Wellstenvalia wellsi gen. et sp. nov., are herein described from sediment samples taken at eight sampling stations in the west coast of the Baja California Peninsula and in the central and southern Gulf of California. Wellstenhelia euterpoides sp. nov. seems to be closely related to We. euterpe Karanovic & Kim, 2014 with which it shares the reduced armature complement of the baseoendopod of the female fifth leg. The so far monotypic genus Wellstenvalia gen. nov. was found to be closely related to Muohuysia Özdikmen, 2009 and Wellstenhelia. Some comments on the relationships between the new genus proposed here and other stenheliin genera and species are provided as a contribution towards the monophyly of the subfamily.  

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