5 resultados para fuentes de información
em REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru
Resumo:
Analiza las estadísticas de la pesquería marítima peruana que publica el Instituto del Mar del Perú IMARPE y que corresponde al año 1965. Bajo las siguientes fuentes de información: inspectores de pesca, capitanías de puertos, empresas pesqueras, terminales pesqueros de Lima y Callao y Superintendencia general de Aduanas.
Resumo:
Analiza estadísticas de desembarque para determinar el valor de la producción por especies en cada puerto; para la determinación del valor dela producción por especies se contó con las fuentes de información de los inspectores de Pesca del Instituto del mar, Capitanías de Puertos, Terminales Pesqueros de Lima y Callao y Oficina Sectorial de Planificación Pesquera.
Resumo:
Presenta las estadísticas de los desembarques de la pesquería peruana correspondientes a 1995, dando a conocer un importante nivel de producción pesquera y una disminución de los desembarques de la pota o calamar gigante. Entre las fuentes de información se tiene: Ministerio de Pesquería, empresas pesqueras, IMARPE y capitanías de puerto.
Resumo:
This work represents an original contribution to the methodology for ecosystem models' development as well as the rst attempt of an end-to-end (E2E) model of the Northern Humboldt Current Ecosystem (NHCE). The main purpose of the developed model is to build a tool for ecosystem-based management and decision making, reason why the credibility of the model is essential, and this can be assessed through confrontation to data. Additionally, the NHCE exhibits a high climatic and oceanographic variability at several scales, the major source of interannual variability being the interruption of the upwelling seasonality by the El Niño Southern Oscillation, which has direct e ects on larval survival and sh recruitment success. Fishing activity can also be highly variable, depending on the abundance and accessibility of the main shery resources. This context brings the two main methodological questions addressed in this thesis, through the development of an end-to-end model coupling the high trophic level model OSMOSE to the hydrodynamics and biogeochemical model ROMS-PISCES: i) how to calibrate ecosystem models using time series data and ii) how to incorporate the impact of the interannual variability of the environment and shing. First, this thesis highlights some issues related to the confrontation of complex ecosystem models to data and proposes a methodology for a sequential multi-phases calibration of ecosystem models. We propose two criteria to classify the parameters of a model: the model dependency and the time variability of the parameters. Then, these criteria along with the availability of approximate initial estimates are used as decision rules to determine which parameters need to be estimated, and their precedence order in the sequential calibration process. Additionally, a new Evolutionary Algorithm designed for the calibration of stochastic models (e.g Individual Based Model) and optimized for maximum likelihood estimation has been developed and applied to the calibration of the OSMOSE model to time series data. The environmental variability is explicit in the model: the ROMS-PISCES model forces the OSMOSE model and drives potential bottom-up e ects up the foodweb through plankton and sh trophic interactions, as well as through changes in the spatial distribution of sh. The latter e ect was taken into account using presence/ absence species distribution models which are traditionally assessed through a confusion matrix and the statistical metrics associated to it. However, when considering the prediction of the habitat against time, the variability in the spatial distribution of the habitat can be summarized and validated using the emerging patterns from the shape of the spatial distributions. We modeled the potential habitat of the main species of the Humboldt Current Ecosystem using several sources of information ( sheries, scienti c surveys and satellite monitoring of vessels) jointly with environmental data from remote sensing and in situ observations, from 1992 to 2008. The potential habitat was predicted over the study period with monthly resolution, and the model was validated using quantitative and qualitative information of the system using a pattern oriented approach. The nal ROMS-PISCES-OSMOSE E2E ecosystem model for the NHCE was calibrated using our evolutionary algorithm and a likelihood approach to t monthly time series data of landings, abundance indices and catch at length distributions from 1992 to 2008. To conclude, some potential applications of the model for shery management are presented and their limitations and perspectives discussed.
Resumo:
El presente trabajo está referido a los Desembarques Pesqueros a nivel nacional a lo largo de Litoral peruano desde Tumbes a Tacna hasta las 200 millas; generando una data en base a la recolección de informaciones básicas de diferentes fuentes y en diversos formatos, esto con la finalidad de cubrir el mayor ámbito geográfico posible. Esta información es estandarizada a un solo formato denominado F-31 (documentos), que sirven como registros de entrada para la generación del archivo de data debidamente organizada consistenciada, que genera los procesos de reportes de cuadros estadísticos varios.