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An Observing System for the Collection of Fishery and Oceanographic Data : Volume 3, Issue 2 (02/05/2007)

By Falco, P.

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Book Id: WPLBN0004020318
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: An Observing System for the Collection of Fishery and Oceanographic Data : Volume 3, Issue 2 (02/05/2007)  
Author: Falco, P.
Volume: Vol. 3, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2007
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Belardinelli, A., Falco, P., Cingolani, N., Santojanni, A., Arneri, E., & Russo, A. (2007). An Observing System for the Collection of Fishery and Oceanographic Data : Volume 3, Issue 2 (02/05/2007). Retrieved from http://www.ebooklibrary.org/


Description
Description: Istituto di Scienze Marine- Consiglio Nazionale delle Ricerche, Sede di Ancona, Largo Fiera della Pesca 60125, Ancona, Italy. Fishery Observing System (FOS) was developed as a first and basic step towards fish stock abundance nowcasting/forecasting within the framework of the EU research program Mediterranean Forecasting System: Toward an Environmental Prediction (MFSTEP). The study of the relationship between abundance and environmental parameters also represents a crucial point towards forecasting. Eight fishing vessels were progressively equipped with FOS instrumentation to collect fishery and oceanographic data. The vessels belonged to different harbours of the Central and Northern Adriatic Sea. For this pilot application, anchovy (Engraulis encrasicolus, L.) was chosen as the target species. Geo-referenced catch data, associated with in-situ temperature and depth, were the FOS products but other parameters were associated with catch data as well. MFSTEP numerical circulation models provide many of these data. In particular, salinity was extracted from re-analysis data of numerical circulation models. Satellite-derived sea surface temperature (SST) and chlorophyll were also used as independent variables. Catch and effort data were used to estimate an abundance index (CPUE – Catch per Unit of Effort). Considering that catch records were gathered by different fishing vessels with different technical characteristics and operating on different fish densities, a standardized value of CPUE was calculated. A spatial and temporal average CPUE map was obtained together with a monthly mean time series in order to characterise the variability of anchovy abundance during the period of observation (October 2003–August 2005). In order to study the relationship between abundance and oceanographic parameters, Generalized Additive Models (GAM) were used. Preliminary results revealed a complex scenario: the southern sector of the domain is characterised by a stronger relationship than the central and northern sector where the interactions between the environment and the anchovy distribution are hidden by a higher percentage of variability within the system which is still unexplained.

GAM analysis showed that increasing the number of explanatory variables also increased the portion of variance explained by the model. Data exchange and interdisciplinary efforts will therefore be crucial for the success of this research activity.


Summary
An observing system for the collection of fishery and oceanographic data

Excerpt
Agenbag, J. J., Richardson, A. J., Demarcq, H., Fréon, P., Weeks, S., and Shillington, F. A.: Relating local abundance of South African pelagic fish species to environmental variables using generalized additive and linear models, Progr. in Oceanogr., 59, 275–300, 2003.; Agostini, V. N. and Bakun, A.: Ocean triads' in the Mediterranean Sea: physical mechanisms potentially structuring reproductive habitat suitability (with example application to European anchovy, \textitEngraulis \textitencrasicolus), Fish. Oceanogr., 11(3), 129–142, 2002.; Attril, M. J. and Power, M.: Climatic influence on a marine fish assemblage, Nature, 417, 275–278, 2002.; Beare, D., Burns, F., Jones, E., Peach, K., Portilla, E., Greig, T., McKenzie, E., and Reid, D.: An increase in the abundance of anchovies and sardines in the north-western North Sea since 1995, Global Change Biol., 10, 1209–1213, 2004.; Beverton, R. J. H. and Holt, S. J.: On the dynamics of exploited fish population, Fish. Invest. Ser., 2, 533, 1957 (Reprint 1993).; Böhm, E., Banzon, V., D'Acunzo, E., D'Ortenzio, F., and Santoleri, R.: Adriatic Sea surface temperature and ocean colour variability during the MFSPP, Ann. Geophys., 21, 137–149, 2003.; Cole, J.: Environmental conditions, satellite imagery, and clupeoid recruitment in the northern Benguela upwelling system, Fish. Oceanogr., 8(1), 25–38, 1999.; Campbell, R. A.: CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models, Fish. Res., 70, 209–227, 2004; Cingolani, N., Santojanni, A., Arneri, E., Belardinelli, A., Colella, S., Donato, F., Giannetti, G., Sinovcic, G., and Zorica, B.: Anchovy (\textitEngraulis encrasicolus, L.) stock assessment in the Adriatic Sea: 1975–2003, 2004, Paper presented at the GFCM-SAC Working Group on Small Pelagic Species, 2004.; Cushing, D. H.: Toward a science of recruitment in fish populations, Oldendorf/Luhe, pp. 175, 1996.; Maunders, M. N. and Punt, A. E.: Standardizing catch effort data: a review of recent approach, Fish. Res., 70, 141–159, 2004.; Cushman-Roisin, B., Gacic, M., Poulain, P. M., and Artegiani, A.: Physical Oceanography of the Adriatic Sea. Past, present and future, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2001.; Daskalov, G.: Relating fish recruitment to stock biomass and physical environment in the Black Sea using generalized additive models, Fish. Res., 41, 1–23, 1999.; Denis, V., Lejeune, J., and Robin, J. P.: Spatio-temporal analysis of the commercial trawler data using general additive models: patterns of Loliginid squid abundance in the north-east Atlantic, ICES J. Mar. Sci., 59, 633–648, 2002.; Garcia, A. and Palomera, I.: Anchovy early life history and its relation to surrounding environment in the Western Mediterranean basin, Sci. Mar., 60 (supl.2), 155–166, 1996.; GoÑi, R., Alvarez, F., and Adlerstein, S.: Application of generalized linear model to catch rate analysis of Western Mediterranean fisheries: the Castellón trawl fleet as a case study, Fish. Res, 42, 291–302, 1999.; Hastie, T. and Tibshirani, R.: Generalized Additive Models, Chapman & Hall, London, 1990.; Hedger, R., Mckenzie, E., Heath, M., Wright, P., Scott, B., Gallego, A., and Andrews, J.: Analysis of the spatial distribution of mature code (\textitGadus morhua) and haddock (\textitMelanogrammus aeglefinus) abundance in the North Sea (1980-1999) using generalized additive models, Fish. Res., 70, 17–25, 2004.; Hilborn, R. and Walters, C. J.: Quantitative Fishieries Stock Assessment, Choice, Dynamics and Uncertainty, Chapman & Hall, London, 1992.; Klyashtorin, L. B.: Climate change and long term fluctuations of commercial catches. The possibility of forecasting, FAO Fish. Tech. Pap., 2001.; Mann, K. H.: Physical oceanography, food chains, and fish stocks: a review, J.

 

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