A study of the dynamics of the fishery for yellowfin tuna in the Eastern Tropical Pacific Ocean

(PDF contains 43 pages.)

Fecundity of yellowfin tuna (Thunnus albacares) and skipjack (Katsuwonus pelamis) from the Eastern Pacific Ocean

(PDF contains 36 pages.)

Surface currents of the Eastern Tropical Pacific Ocean

(PDF contains 39 pages.)

Biometric comparison of the anchoveta, Cetengraulis mysticetus (Gunther), from ten localities of the Eastern Tropical Pacific Ocean

ENGLISH: It is important to the Inter-American Tropical Tuna Commission to know whether the anchoveta (Cetengraulis mysticetus), the principal tuna bait species in the Eastern Tropical Pacific Ocean, is composed of one or several populations. Earlier research indicated that, on the basis of significant differences in certain meristic counts, populations of this species in six of the major baiting localities between Mexico and Peru, should provisionally be considered as separate stocks. Since that time, additional collections of anchovetas have been obtained from these and other intervening localities. Purpose of the present study was to confirm the results of the earlier work, and to determine whether the differences in the meristic counts persisted from year to year, as well as to examine certain morphometric characters of the fish from these areas, and to learn whether the populations from the other localities are also separate entities. SPANISH: La Comisión Interamericana del Atún Tropical está interesada en saber si la anchoveta (Ceteugrautís mvsticetus}, la principal especie usada como cebo para la pesca del atún en el Océano Pacífico Oriental Tropical, está compuesta de una o de varias poblaciones. Investigaciones previas indicaron que, a base de diferencias significativas encontradas en ciertos caracteres numéricos, las poblaciones de esta especie en seis de las principales localidades entre México y Perú, podían ser consideradas provisionalmente como pertenecientes a "stocks'' separados. Desde entonces se han venido haciendo recolecciones adicionales de anchovetas en éstas y otras localidades intermedias. El propósito del presente trabajo ha sido confirmar los resultados obtenidos previamente, y determinar si las diferencias en los caracteres numéricos han persistido de un año a otro, así como examinar ciertos caracteres morfométricos en los peces de estas áreas, y resolver si las poblaciones de las nuevas localidades muestreadas son también entidades diferentes. (PDF contains 76 pages.)

Some observations on bigeye tuna (Thunnus obesus) caught by the surface and longline fisheries for tunas in the Eastern Pacific Ocean

(PDF contains 58 pages.)

Statistics of the Eastern Pacific Ocean tuna fishery, 1979 to 1992

ENGLISH: This report, published in response to the large volume of requests for information received by the IATTC, provides information on the catches, effort, and composition of the purse-seine and baitboat fleets which fished for tunas and tuna-like species in the eastern Pacific Ocean (EPO) in the 1979-1992 period. It does not include data for longline fisheries operating in the EPO; that information may be found in the IATTC's Annual and other reports. The IATIC has published similar data for other periods in its Bulletin series (Shimada, 1958; Alverson, 1959, 1960, ~963; Martin, 1962; Calkins and Chatwin, 1967, 1971; Calkins, 1975; Orange and Calkins, 1981) and in its weekly, quarterly, and annual reports. SPANISH: El presente informe, publicado como resultado del gran volumen de solicitudes de información recibidas por la CIAT, presenta información sobre las capturas, el esfuerzo, y la composición de las flotas que pescaron atunes y especies afines con red de cerco o carnada en el Océano Pacífico oriental (OPa) en el período de 1979-1992. La CIATha publicado datos similares para otros períodos en su serie de Boletines (Shímada, 1958; Alverson, 1959, 1960, 1963; Martin, 1962; Calkins y Chatwin, 1967, 1971; Calkins, 1975; Orange y Calkins, 1981) y en sus informes semales, trimestrales, y anuales. (PDF contains 102 pages.)

Oceanographic atlas of habitats of larval tunas in the Pacific Ocean off the Azuero Peninsula, Panama

This report presents maps and statistics of summaries by season (dry and wet) of temperature, salinity, density, oxygen concentration, and oxygen saturation at six depths (0, 3, 10, 30, 50, and 100 m) in the Pacific Ocean off the Azuero Peninsula, Panama. Profiles made with a conductivity-temperature-pressure (CTD) probe on a 14-station grid from July 1989 through August 1991 provide the basis for these products. (PDF contains 37 pages.)

Geographical distributions of effort and catches of tunas by purse-seine vessels in the Eastern Pacific Ocean during 1965-1998

ENGLISH: This report presents fine-scale spatial summaries of annual catch and effort information compiled by the IATTC staff. These data summaries are presented in a graphical format, and display only information collected from purse-seine vessels fishing in the eastern Pacific Ocean (EPO) during 1965-1998. Data collected from baitboat and longline vessels fishing in the EPO are not considered in this report. Equivalent data from Japanese longline vessels fishing in the EPO are presented by Uosaki and Bayliff(1999) for 1988-1992 and by' references cited in that publication for 1956-1987. SPANISH: Este informe presenta resúmenes espaciales a escala fina de información sobre captura y esfuerzo anuales compilada por el personal de la CIAT. Se presentan los resúmenes en formato gráfico, e incluyen solamente información tomada de barcos cerqueros pescando en el Océano Pacifico oriental (OPO) durante 1965-1998. No se consideran en el informe datos provenientes de barcos de camada y palangreros que pescan en el OPO. Se presentan datos equivalentes de barcos palangreros japoneses pescando en el OPO en Uosaki y Bayliff (1999) para 1988-1992 yen las referencias citadas en dicha publicación para 1956-1987. (PDF contains 104 pages.)

The South Atlantic Alliance: A southeastern U.S. state Governors initiative to address opportunities and challenges embodied in the region's coastal and ocean domain

The pressures placed on the natural, environmental, economic, and cultural sectors from continued growth, population shifts, weather and climate, and environmental quality are increasing exponentially in the southeastern U.S. region. Our growing understanding of the relationship of humans with the marine environment is leading us to explore new ecosystem-based approaches to coastal management, marine resources planning, and coastal adaptation that engages multiple state jurisdictions. The urgency of the situation calls for coordinated regional actions by the states, in conjunction with supporting partners and leveraging a diversity of resources, to address critical issues in sustaining our coastal and ocean ecosystems and enhancing the quality of life of our citizens. The South Atlantic Alliance (www.southatlanticalliance.org) was formally established on October 19, 2009 to “implement science-based policies and solutions that enhance and protect the value of coastal and ocean resources of the southeastern United States which support the region's culture and economy now and for future generations.” The Alliance, which includes North Carolina, South Carolina, Georgia, and Florida, will provide a regional mechanism for collaborating, coordinating, and sharing information in support of resource sustainability; improved regional alignment; cooperative planning and leveraging of resources; integrated research, observations, and mapping; increased awareness of the challenges facing the South Atlantic region; and inclusiveness and integration at all levels. Although I am preparing and presenting this overview of the South Atlantic Alliance and its current status, there are a host of representatives from agencies within the four states, universities, NGOs, and ongoing southeastern regional ocean and coastal programs that are contributing significant time, expertise, and energy to the success of the Alliance; information presented herein and to be presented in my oral presentation was generated by the collaborative efforts of these professionals. I also wish to acknowledge the wisdom and foresight of the Governors of the four states in establishing this exciting regional ocean partnership. (PDF contains 4 pages)

San Francisco Bay regional sediment management strategy development

The San Francisco Bay Conservation and Development Commission (BCDC), in continued partnership with the San Francisco Bay Long Term Management Strategies (LTMS) Agencies, is undertaking the development of a Regional Sediment Management Plan for the San Francisco Bay estuary and its watershed (estuary). Regional sediment management (RSM) is the integrated management of littoral, estuarine, and riverine sediments to achieve balanced and sustainable solutions to sediment related needs. Regional sediment management recognizes sediment as a resource. Sediment processes are important components of coastal and riverine systems that are integral to environmental and economic vitality. It relies on the context of the sediment system and forecasting the long-range effects of management actions when making local project decisions. In the San Francisco Bay estuary, the sediment system includes the Sacramento and San Joaquin delta, the bay, its local tributaries and the near shore coastal littoral cell. Sediment flows from the top of the watershed, much like water, to the coast, passing through rivers, marshes, and embayments on its way to the ocean. Like water, sediment is vital to these habitats and their inhabitants, providing nutrients and the building material for the habitat itself. When sediment erodes excessively or is impounded behind structures, the sediment system becomes imbalanced, and rivers become clogged or conversely, shorelines, wetlands and subtidal habitats erode. The sediment system continues to change in response both to natural processes and human activities such as climate change and shoreline development. Human activities that influence the sediment system include flood protection programs, watershed management, navigational dredging, aggregate mining, shoreline development, terrestrial, riverine, wetland, and subtidal habitat restoration, and beach nourishment. As observed by recent scientific analysis, the San Francisco Bay estuary system is changing from one that was sediment rich to one that is erosional. Such changes, in conjunction with increasing sea level rise due to climate change, require that the estuary sediment and sediment transport system be managed as a single unit. To better manage the system, its components, and human uses of the system, additional research and knowledge of the system is needed. Fortunately, new sediment science and modeling tools provide opportunities for a vastly improved understanding of the sediment system, predictive capabilities and analysis of potential individual and cumulative impacts of projects. As science informs management decisions, human activities and management strategies may need to be modified to protect and provide for existing and future infrastructure and ecosystem needs. (PDF contains 3 pages)

Supporting regional coastal and ocean managers: Linking ocean observing tools and capabilities to the priority needs of managers and users in the southeast region

Ocean observing has been recognized by the US Commission on Ocean Policy, the Ocean Research and Resources Advisory Panel, the Joint Ocean Commission Initiative, and many other ocean policy entities and initiatives as foundational to meeting the nation’s need for more effective coastal and ocean management. The Interim Report of the Interagency Task Force on Ocean Policy (September 2009) has called for strengthening the nation’s capacity for observing the nation’s ocean, coastal, and Great Lakes systems. (PDF contains 3 pages)

Technical workshop on calculating Nmin for the dolphin stocks of the eastern Pacific Ocean

ENGLISH: This report based on the minutes of a technical workshop carried out under the auspices of the Agreement on the International Dolphin Conservation Program, which took place in La Jolla, California, USA, on August 2-5, 2005. It is reproduced as an IATTC Special Report to make it more widely available to the general public. Some minor changes in formatting have been made, but nothing of scientific importance has been deleted from or added to the report. SPANISH: El presente informe se basa en el acta de una reunión técnica que se celebró en La Jolla, California (EE.UU.) del 2 al 5 de agosto de 2005, bajo los auspicios del Acuerdo sobre el Programa Internacional para la Conservación de los Delfines. Se reproduce como Informe Especial de la CIAT para difundirlo más ampliamente al público general. Se han cambiado unos detalles del formato, pero no se ha añadido ni sustraido nada de importancia científica.

An Evaluation of the area stratification used for sampling tunas in the eastern Pacific Ocean and implications for estimating total annual catches

The Inter-American Tropical Tuna Commission (IATTC) staff has been sampling the size distributions of tunas in the eastern Pacific Ocean (EPO) since 1954, and the species composition of the catches since 2000. The IATTC staff use the data from the species composition samples, in conjunction with observer and/or logbook data, and unloading data from the canneries to estimate the total annual catches of yellowfin (Thunnus albacares), skipjack (Katsuwonus pelamis), and bigeye (Thunnus obesus) tunas. These sample data are collected based on a stratified sampling design. I propose an update of the stratification of the EPO into more homogenous areas in order to reduce the variance in the estimates of the total annual catches and incorporate the geographical shifts resulting from the expansion of the floating-object fishery during the 1990s. The sampling model used by the IATTC is a stratified two-stage (cluster) random sampling design with first stage units varying (unequal) in size. The strata are month, area, and set type. Wells, the first cluster stage, are selected to be sampled only if all of the fish were caught in the same month, same area, and same set type. Fish, the second cluster stage, are sampled for lengths, and independently, for species composition of the catch. The EPO is divided into 13 sampling areas, which were defined in 1968, based on the catch distributions of yellowfin and skipjack tunas. This area stratification does not reflect the multi-species, multi-set-type fishery of today. In order to define more homogenous areas, I used agglomerative cluster analysis to look for groupings of the size data and the catch and effort data for 2000–2006. I plotted the results from both datasets against the IATTC Sampling Areas, and then created new areas. I also used the results of the cluster analysis to update the substitution scheme for strata with catch, but no sample. I then calculated the total annual catch (and variance) by species by stratifying the data into new Proposed Sampling Areas and compared the results to those reported by the IATTC. Results showed that re-stratifying the areas produced smaller variances of the catch estimates for some species in some years, but the results were not significant.

A-SCALA: an age-structured statistical catch-at-length analysis for assessing tuna stocks in the eastern tropical Pacific Ocean

English: We describe an age-structured statistical catch-at-length analysis (A-SCALA) based on the MULTIFAN-CL model of Fournier et al. (1998). The analysis is applied independently to both the yellowfin and the bigeye tuna populations of the eastern Pacific Ocean (EPO). We model the populations from 1975 to 1999, based on quarterly time steps. Only a single stock for each species is assumed for each analysis, but multiple fisheries that are spatially separate are modeled to allow for spatial differences in catchability and selectivity. The analysis allows for error in the effort-fishing mortality relationship, temporal trends in catchability, temporal variation in recruitment, relationships between the environment and recruitment and between the environment and catchability, and differences in selectivity and catchability among fisheries. The model is fit to total catch data and proportional catch-at-length data conditioned on effort. The A-SCALA method is a statistical approach, and therefore recognizes that the data collected from the fishery do not perfectly represent the population. Also, there is uncertainty in our knowledge about the dynamics of the system and uncertainty about how the observed data relate to the real population. The use of likelihood functions allow us to model the uncertainty in the data collected from the population, and the inclusion of estimable process error allows us to model the uncertainties in the dynamics of the system. The statistical approach allows for the calculation of confidence intervals and the testing of hypotheses. We use a Bayesian version of the maximum likelihood framework that includes distributional constraints on temporal variation in recruitment, the effort-fishing mortality relationship, and catchability. Curvature penalties for selectivity parameters and penalties on extreme fishing mortality rates are also included in the objective function. The mode of the joint posterior distribution is used as an estimate of the model parameters. Confidence intervals are calculated using the normal approximation method. It should be noted that the estimation method includes constraints and priors and therefore the confidence intervals are different from traditionally calculated confidence intervals. Management reference points are calculated, and forward projections are carried out to provide advice for making management decisions for the yellowfin and bigeye populations. Spanish: Describimos un análisis estadístico de captura a talla estructurado por edad, A-SCALA (del inglés age-structured statistical catch-at-length analysis), basado en el modelo MULTIFAN- CL de Fournier et al. (1998). Se aplica el análisis independientemente a las poblaciones de atunes aleta amarilla y patudo del Océano Pacífico oriental (OPO). Modelamos las poblaciones de 1975 a 1999, en pasos trimestrales. Se supone solamente una sola población para cada especie para cada análisis, pero se modelan pesquerías múltiples espacialmente separadas para tomar en cuenta diferencias espaciales en la capturabilidad y selectividad. El análisis toma en cuenta error en la relación esfuerzo-mortalidad por pesca, tendencias temporales en la capturabilidad, variación temporal en el reclutamiento, relaciones entre el medio ambiente y el reclutamiento y entre el medio ambiente y la capturabilidad, y diferencias en selectividad y capturabilidad entre pesquerías. Se ajusta el modelo a datos de captura total y a datos de captura a talla proporcional condicionados sobre esfuerzo. El método A-SCALA es un enfoque estadístico, y reconoce por lo tanto que los datos obtenidos de la pesca no representan la población perfectamente. Además, hay incertidumbre en nuestros conocimientos de la dinámica del sistema e incertidumbre sobre la relación entre los datos observados y la población real. El uso de funciones de verosimilitud nos permite modelar la incertidumbre en los datos obtenidos de la población, y la inclusión de un error de proceso estimable nos permite modelar las incertidumbres en la dinámica del sistema. El enfoque estadístico permite calcular intervalos de confianza y comprobar hipótesis. Usamos una versión bayesiana del marco de verosimilitud máxima que incluye constreñimientos distribucionales sobre la variación temporal en el reclutamiento, la relación esfuerzo-mortalidad por pesca, y la capturabilidad. Se incluyen también en la función objetivo penalidades por curvatura para los parámetros de selectividad y penalidades por tasas extremas de mortalidad por pesca. Se usa la moda de la distribución posterior conjunta como estimación de los parámetros del modelo. Se calculan los intervalos de confianza usando el método de aproximación normal. Cabe destacar que el método de estimación incluye constreñimientos y distribuciones previas y por lo tanto los intervalos de confianza son diferentes de los intervalos de confianza calculados de forma tradicional. Se calculan puntos de referencia para el ordenamiento, y se realizan proyecciones a futuro para asesorar la toma de decisiones para el ordenamiento de las poblaciones de aleta amarilla y patudo.

Growth of Skipjack tuna (Katsuwonus pelamis) in the eastern Pacific Ocean as estimated from tagging data

English: Data obtained from tagging experiments initiated during 1953-1958 and 1969-1981 for skipjack tuna from the coastal eastern Pacific Ocean (EPO) are reanalyzed, using the Schnute generalized growth model. The objective is to provide information that can be used to generate a growth transition matrix for use in a length-structured population dynamics model. The analysis includes statistical approaches to include individual variability in growth as a function of length at release and time at liberty, measurement error, and transcription error. The tagging data are divided into northern and southern regions, and the results suggest that growth rates differ between the two regions. The Schnute model provides a significantly better fit to the data than the von Bertalanffy model, a sub-model of the Schnute model, for the northern region, but not for the southern region. Individual variation in growth is best described as a function of time at liberty and as a function of growth increment for the northern and southern regions, respectively. Measurement error is a significant part of the total variation, but the results suggest that there is no bias caused by the measurement error. Additional information, particularly for small and large fish, is needed to produce an adequate growth transition matrix that can be used in a length-structured population dynamics model for skipjack tuna in the EPO. Spanish: Los datos obtenidos de los experimentos de marcado iniciados durante los períodos de 1953- 1958 y de 1969-1981 para el atún barrilete en las costas del Océano Pacífico Oriental (OPO) fueron analizados nuevamente, utilizando el modelo de crecimiento generalizado de Schnute. El objetivo es brindar información que sea útil para producir una matriz sobre la tran-sición de crecimiento que pueda utilizarse en un modelo de dinámica poblacional estructurado por talla. El análisis usa enfoques estadísticos para poder incluir la variabilidad individual del crecimiento como función de la talla de liberación y tiempo en libertad, el error de medición, y el error de transcripción. Los datos de marcado son divididos en regiones norte y sur, y los resultados sugieren que las tasas de crecimiento en las dos regiones son diferentes. En la región norte, pero no en la región sur, el modelo de Schnute se ajusta significativamente mejor a los datos que el modelo von Bertalanffy, un sub-modelo del modelo de Schnute. La mejor descripción de la variación individual en el crecimiento es como una función del tiempo en libertad y como una función del incremento de crecimiento para las regiones norte y sur, respectivamente. El error de medición es una parte significativa de la variación total, pero los resultados sugieren que no existe un sesgo causado por el error de medición. Se necesita información adicional, particularmente para peces pequeños y grandes, para poder producir una matriz de transición de crecimiento adecuada que pueda utilizarse en el modelo de dinámica poblacional estructurado por tallas para el atún barrilete en el OPO.