“BIOLOGICAL AND FISHING RESEARCH ON BLUEFIN TUNA (Thunnus thynnus) AND SWORDFISH (Xiphias gladius) IN THE MEDITERRANEAN SEA“ P. RIOJA (FAO) APPLICATION.

Slides:



Advertisements
Similar presentations
Click the Enter button to begin using the Compendium Click to continue.
Advertisements

1 Welcome To Siebel Training Welcome To Siebel Training.
Trade of CITES Appendix ll- listed sharks Japan’s Practice on NDF
Scientific Cooperation to Support Responsible Fisheries in the Adriatic Sea.
Database Concepts Lec. 5. What Is a Database? Data are unprocessed raw facts that include text, number, images, audio, and video. Information is processed.
GFCM SCSA, Izmir Sept 2008Sardine GSA01 Bellido et al Fishery Assessment of Sardine Stock GSA01 (Northern Alboran) Bellido, J.M. 1, Quintanilla,
Harmonisation of Data. Objectives Develop a standard data description applicable to all fisheries Provide data necessary for the estimation of theoretical.
Opportunities for improving stock assessment Kristjan Thorarinsson Population Ecologist The Federation of Icelandic Fishing Vessel Owners.
Section 04DFD - Top Level1 04 Data Flow Diagrams - Top Level DFD And Franchise Colleges By MANSHA NAWAZ.
Ecological Objective 3: Harvest of commercially exploited fish and shellfish Populations of selected commercially exploited fish and shellfish are within.
Physical Oceanography Unit IOI-Malta Operational Centre University of Malta
The Project AH Computing. Functional Requirements  What the product must do!  Examples attractive welcome screen all options available as clickable.
Dr Costas Papaconstantinou
MEDIN Data Guidelines. Data Guidelines Documents with tables and Excel versions of tables which are organised on a thematic basis which consider the actual.
Trade of sharks listed in CITES Appendix ll Japan’s Practice on NDF Fisheries Agency of Japan.
10/12/2001Data Structure1 Relationships Between The Data Flow Diagram and The Systems Design Activities Mohammad A. Rob School of Business and Public Administration.
IREPA Onlus – Istituto Ricerche Economiche Pesca e Acquacoltura The Relationship between Fleet Capacity, Landings, and the Components Parts of Fishing.
2nd Meeting of the MariFish Bycatch and Discards Scientific Committee Madrid, 5-6th October 2009 Work Package 7: Collaborative Research Programmes Thematic.
AdriaMed Expert Consultation Interactions between capture fisheries and aquaculture Rome, Italy November st Coordination Committee (2000)
Summary Data Modeling SDLC What is Data Modeling Application Audience and Services Entities Attributes Relationships Entity Relationship Diagrams Conceptual,Logical.
SCIENTIFIC SOLUTIONS Journal Citation Reports ® New Features of Version 4.0.
Report on UNSD activities since the last meeting of the Expert Group on International Economic and Social Classifications Meeting of the Expert Group on.
Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.
Component 4: Introduction to Information and Computer Science Unit 6: Databases and SQL Lecture 2 This material was developed by Oregon Health & Science.
History, Problems, and Recommended Solutions Fisheries Data Collection Improvements in Puerto Rico and the US Virgin Islands Puerto Rico DNER USVI Department.
GFCM SCSA, Izmir Sept 2008Sardine GSA06 Bellido et al Fishery Assessment of Sardine Stock GSA06 (Northern Spain) Bellido, J.M. 1, Quintanilla, L.
WLI ANNUAL REPORT 2013 GUIDELINE Bezaiet Dessalegn
0 eCPIC User Training: Dependency Mapper These training materials are owned by the Federal Government. They can be used or modified only by FESCOM member.
1 TEISS Case Project Introduction Melinda Ronca-Battista and Angelique Luedeker ITEP/TAMS Center.
Where does my data go? IOTC Data Revisions. Role of the IOTC Data section  The IOTC Secretariat Data Section plays an important role in assessing the.
UNIT 8: Fisheries assessments. 2 Fisheries data Why do we need fisheries data? FAO (2005): “Information is critical to EAF. It underpins the formulation.
CS370 Spring 2007 CS 370 Database Systems Lecture 4 Introduction to Database Design.
1 Database Design and Development: A Visual Approach © 2006 Prentice Hall Chapter 8 DATABASE DESIGN AND DEVELOPMENT: A VISUAL APPROACH Chapter 8 Creating.
What have we learned?. What is a database? An organized collection of related data.
UNIVERSITI TENAGA NASIONAL “Generates Professionals” MODULE 5 : Part 2 INTRODUCTION TO DATABASE.
METHODS WORKING GROUP March 19 to 23, 2007 SCI-028 EXECUTIVE SUMMARY SCI-032 DETAILED REPORT.
Mediterranean regional case study – WP 7 Dr Costas Papaconstantinou Hellenic Centre for Marine Research Institute for Marine Biological Resources GSRT.
The management of small pelagics. Comprise the 1/3 of the total world landings Comprise more than 50% of the total Mediterranean landings, while Two species,
Mrs Nafisat Bolatito IKENWEIWE (PhD) DEPARTMENT OF AQUACULTURE AND FISHERIES MANAGEMENT UNIVERSITY OF AGRICULTURE, ABEOKUTA FISH STOCK ASSESSMENT
Fisheries 101: Modeling and assessments to achieve sustainability Training Module July 2013.
Introduction to KE EMu
Page 1 of 42 To the ETS – Create Client Account & Maintenance Online Training Course Individual accounts (called a Client Account) are subsets of the Site.
COPEMED CONTRIBUTION TO INTERNATIONAL FISHERY COOPERATION IN THE WESTERN MEDITERRANEAN By Rafael Robles, COPEMED Project Director COPEMED CONTRIBUTION.
BY-CATCH AND DISCARDS OF THE EUROPEAN PURSE SEINE TUNA FISHERY IN THE INDIAN OCEAN. CHARACTERISTICS AND ESTIMATION FOR THE PERIOD.
Medical Eligibility Verifications 1. Medical Eligibility: Verifications Introduction After completing this course, you will be able to: Recognize shared.
Public Libraries Survey Data File Overview. What We’ll Talk About PLS: Public Libraries Survey State level data Public library data (Administrative Entities)
Public Libraries Survey Data File Overview. 2 What We’ll Talk About PLS: Public Library Survey State level data Public library data (Administrative Entities)
Chavez, Melesan Karen De Luna, Lin Detera, Patrick Kevin Martinez, Jellene Joy Dental Clinic Database System Functional Requirements.
Computer Science & Engineering 2111 Database Objects 1 CSE 2111 Introduction to Database Management Systems.
PARTICIPANTS NCMR (Responsible Institute), IMBC [Greece] IREPA[Italy] U. Barcelona, U. Basque, UPO[Spain] EFIMAS MEETING NICOSIA CRETE 2004 APRIL
Henrik Kjems-Nielsen ICES Secretariat InterCatch – the screen guide.
1 PIRO’s Pelagic Ecosystem Management Needs PIFSC External Science Review April 5, 2016.
Data requirement of stock assessment. Data used in stock assessments can be classified as fishery-dependent data or fishery-independent data. Fishery-dependent.
Outcomes from EMODnet/MSFD coordination meetings A. Giorgetti, M. Lipizer, M. Vinci EMODnet Chemistry, 3 rd year meeting, June 8-9, 2016 Helsinki, Finland.
Innotas Reports, Dashboards, and Filters
Sustainability and Challenges of the World Marine Fisheries
New data on incidental captures of Leatherback (Dermochelys coriacea Vandelli, 1761) obtained by the IEO on board observer program in longline Spanish.
Ocean University of China
FCWC-FIRMS workshop on fisheries inventories
Activating your account and navigating through TIDE
SESSION 11 Observer Data Auditing
SESSION 10.1 Latest developments with TUFMAN
InnovationQ Plus Quick Start Guide
TEISS Case Project Introduction
Activating Your Account and Navigating Through TIDE
Introduction to Neural Networks And Their Applications - Basics
OBSERVER DATA VIEWER Reference Guide
Innotas Reports, Dashboards, and Filters
Status, Data Transfer and Processing
III. Introduction to Neural Networks And Their Applications - Basics
Presentation transcript:

“BIOLOGICAL AND FISHING RESEARCH ON BLUEFIN TUNA (Thunnus thynnus) AND SWORDFISH (Xiphias gladius) IN THE MEDITERRANEAN SEA“ P. RIOJA (FAO) APPLICATION “FISHERIES MANAGEMENT V 2.1” INSTITUTO ESPAÑOL DE OCEANOGRAFÍA CENTRO OCEANOGRÁFICO DE MÁLAGA

INTRODUCTION During 1998 it was carried out the Project IEO-INRH; a joint research project regarding Tuna and Tuna-like species in the Mediterranean Sea between the Instituto Español de Oceanografía (IEO) and the Institut National de Recherche Halieutique from Morocco, coordinated by FAO-COPEMED. One of the main aims of the aforementioned project was to develop an appropriate informatics application for carrying out joint research. A meeting for methodological standardization was held at the Oceanographical Laboratory in Málaga and the responsible scientists for the project designed a specific data base addressed towards tuna and tuna-like fisheries management (V 1.1). Current release has been extended and enhanced for every country engaged in the new Project FAO-COPEMED/TÚNIDOS (V 2.1) being able to use it.

PARTICIPANT COUNTRIES Countries and institutions participant in the Project FAO- COPEMED/TÚNIDOS: yMorocco. Institut National de Recherche Halieutique (INRH) yLibya. Marine Biology Research Centre (MBRC) yTunisia. Institut National des Sciences et Technologies of the sea (INSTM) yMalta. Ministry of Agriculture an Ficheries. Department of Ficheries & Aquaculture (MAF) yItaly. Laboratorio de Biología Marina y Pesca ySpain. Instituto Español de Oceanografía (IEO)

RESEARCH AREA

AIMS OF PROJECT To improve knowledge on fisheries, statistical processes and biological studies by means of joint research FISHERIES DESCRIPTION 1 HISTORICAL SERIES ANNUAL STATISTICS 2 INFORMATION EXCHANGE 3 Through

ENTITY - RELATIONSHIP DIAGRAM (E/R) Defined by Define as pilot port Data on Fishery Species Landing Port Catch-Effort Monthly Historical Series Catch-Effort Length Distribution Monthly Annual Description 0,n 0,12 1,1 1,5 1,1 0,1 0,41,1 Define as targeting species Define as species 0,n Example: Annual Description defines a fishery (country-gear) / Fishery can be defined by none or several annual descriptions.

TABLES, FIELDS AND RELATIONSHIPS Reference Tables Task I Task II Task IV Task III

APPLICATION 1.- PRESENTATION 2.- TASKS MENU. yTask I. Annual fisheries description yTask II. Catch-Effort yTask III. Length distribution yTask IV. Sex-ratio yTask V. Historical series on Catch-Effort 3.- DATA INPUT 4.- DATA OUTPUT 5.- DATA TRANSFER (Flow chart) 6.- HELP / TRAINING Nex, it is outlined the main aims of the application:

1.- PRESENTATION Welcome screen: from this sreen we can run the application in two languages: spanish and french.

2.- TASKS MENU (1/2) TASK I.- Annual fishery description and mapping: Under this task we carry on the technical description of the fishery; we input on data on targeting species, main landing ports, fleet mean characteristics, fishing season and location, etc. These data supply a general view of the fishery and allow to monitor changes in the fishery like fleet increase or decrease between years, changing fishing areas, etc. TASK II.- Catch- effort. Data on catch and fishing effort are essential in order to compute catch by unit effort rates (CPUE) which are used as relative abundance index and also for the study of the stock structure, migration patterns and interactions beetwen fishing gears. It is outlined a brief summary for the aims in each Task:

2.- TASKS MENU (2/2) TASK IV.- Sex ratio by length class. Recording length and sex in order to know female- male ratios. TASK V.- Historical series on catch- effort. Compilation of historical data on catch and fishing effort in order to compute standardized abundance index. TASK III.- Length distribution by sex. The information on length (age) composition of the catch is essential when trying to predict, by analitical methods, the future behaviour of the stock. AIMS:

3.- DATA INPUT Inside the screen for data input we can distinguish three different fields: Drop-down fields: when dropped down it is shown a list with the allowed values for the field. The values in the list are restricted to those extant in the reference tables. The values in the reference tables are managed under a regional level. Informative fields: it is shown information about the meaning of the codes that we introduced in the associated fields. Simple Fields: these fields are for directly typing in the data, some of them have an input mask and / or validation rules.

4.- DATA OUTPUT (1/2) Task I. Annual fishery description: 1. Fishery description by year. Task II. Catch-Effort: 1. Report by year and fishery. 2. Report by year and country. Tarea III. Distribución de tallas por mes y sexo: 1. Report by month and fishery. 2. Report by year and fishery. There are several ways for data output depending on the selected Task and option. Once we have selected Task and option, the information will be used as a filter for the elaboration of the requested report. The reports can be viewed in the screen and/or printed. Results from a query

4.- DATA OUTPUT (2/2) Task IV. Sex-ratio by length class: 1. Report by month and fishery. 2. Report by year and fishery. Task V. Catch-effort Historical series: 1. Report by fishery, including a graph for the catch in weight and fishing effort. 2. Report by gear, including a graph for the catch in weight and fishing effort. Results from a query (Zoom)

5.- DATA TRANSFER (1/2) z Export: the process generates text files with the data for the selected country. Once the files have been generated, they can be addressed to the rest of the participant countries by z Import: it allows to merge the data base belonging to other participant countries with our data base. The import process deletes the data corresponding to the country that is being imported and adds the new data base composed of the new recorded data and the previously recorded ones (with the corresponding modifications). Each participant country is the responsible for its own data base. One of the main aims of the current application is to exchange the information collected by each country among the other countries in the Project in order to develop joint studies. Ó Reference Tables Updating: The reference tables are managed, under a regional level, by Spain. The other participant countries will be able to import, when necessary, the updated reference tables.

Previously defined process ExtractingMerging Data National data base Regional manager Reference tables updating Transfer 5.- DATA TRANSFER (2/2) BD Spain BD Libya BD Malta REGIONAL LEVEL NATIONAL LEVEL Data

6.- HELP / TRAINING HELP zInside the application we can find information relating the application performance. We can access to help through: 4 Help icon 4 F1 Key zFurthermore, a comprehensive user’s guide with enhanced information and examples is being edited. TRAINING z Shortly, a training course relating to the use of the application will be held at the C.O de Málaga for the participant countries.

APLICATION & PRESENTATION: Pilar Rioja Garay FAO- COPEMED Instituto Español de Ocenografía Puerto Pesquero s/n. Apartado Fuengirola - Málaga (España)