There is a growing need for timely, reliable and comprehensive fisheries statistics, which constitute the primary means to measure the performance of a fishery within the social, economic, biological and environmental framework in which it is conducted.

Organisation

Key reasons to attend this course

Learn to define the data required for statistics in support to fisheries management and evidence-based policy making;
Be able to define the most efficient data collection methodology according to the country specificities;
Become familiar with the fundamental principles of sampling that have direct impact on the reliability of the derived statistics;
Be aware of the importance of the use of international standard classifications, concepts and definitions to enable harmonised information exchange and reporting;
Gain knowledge of the growing use of modern communication tools in data collection, processing and reporting;
Network with professionals from other countries and share knowledge on the organization of fisheries statistics systems.

Lecturers

25 hours of training (conferences and case studies)

8 hours of working groups, practical exercises and discussion

Leading international experts

Course in English, with interpretation into Spanish and French

Programme

Timetable Brochure in English Brochure in French Brochure in Spanish
  • 1. Introduction to Fisheries Statistics (4 hours)
    • 1.1. Why Fisheries Statistics?
      • 1.1.1. Growing demand of information, data and statistics (3 sustainability pillars, Blue Growth, fight against IUU)
      • 1.1.2. Statistics in support to evidence based national policy making: stock assessment
      • 1.1.3. Statistics in support to national fisheries management (fisheries management plans, economic development of the sector)
      • 1.1.4. Statistics in support to regional and international fisheries management: regional management of resources (reporting to EU, national compliance to RFMOs reporting), reporting to FAO (SDG 14)
    • 1.2. What data to be collected for which fisheries statistics?
      • 1.2.1. Overview of data
      • 1.2.2. Indicators and variables (Fishing and operational; Biological; Socio-economic; Monitoring, Control and Surveillance)
      • 1.2.3. Coordinating Working Party on fisheries statistics (CWP): international standards, concepts, definitions and classifications
    • 1.3. How to produce fisheries statistics
      • 1.3.1. From data collection …: census vs sampling vs administrative (definition, scope, main features of each data collection methods)
      • 1.3.2. … to Fisheries Statistics: storing, processing data into statistics (standardization/harmonization, etc.), data quality control
      • 1.3.3. Need for reporting: according to standards – machine to machine communication
      • 1.3.4. Need for stock assessment process: different models depending on availability of data and statistics
      • 1.3.5. Data policies: security of data, confidentiality, data access and data sharing
  • 2. Fisheries data collection systems (10 hours)
    • 2.1. Administrative data
      • 2.1.1. Vessel registry/vessel record (minimum data requirements, SSF fleet vs industrial fleet)
      • 2.1.2. Fishers registry
      • 2.1.3. Licenses
      • 2.1.4. Examples of vessel registries: national registries, global vessel records
    • 2.2. Census-based data (3 h)
      • 2.2.1. Common methodological and operational characteristics
        • 2.2.1.1. Frame survey
        • 2.2.1.2. Logbooks / Electronic logbooks
        • 2.2.1.3. Observer programmes
      • 2.2.2. Formulation of indicators
      • 2.2.3. Financial and human resources aspects
      • 2.2.4. Case studies:
        • 2.2.4.1. A frame survey example. The case of Madagascar
        • 2.2.4.2. Logbooks/Observers programme example, ICCAT
    • 2.3. Sample-based data (6 h)
      • 2.3.1. Methodological aspects and numerical examples
      • 2.3.2. Practical guidelines in the design of sample fishery surveys
      • 2.3.3. Financial and human resources aspects
      • 2.3.4. Comparison with census-based systems
      • 2.3.5. Exercises (number of samples needed, confidence interval)
      • 2.3.6. Case study. Small Scale Fisheries. Greece
  • 3. Specific fisheries data collections (5 hours)
    • 3.1. Biological data and Stock assessment
      • 3.1.1. Common methodological and operational characteristics
      • 3.1.2. Stock assessment models
      • 3.1.3. Case study on compliance on requirements for data collection on Blue Fin Tuna fisheries
    • 3.2. Fisheries socio-economic statistics
      • 3.2.1. Fleet and fishers
        • 3.2.1.1. Objectives of socio-economic data collection
        • 3.2.1.2. Setting up socio-economic survey – defining objectives and components
        • 3.2.1.3. Sampling design – from variables to sample selection
        • 3.2.1.4. Data collection – training data collectors
        • 3.2.1.5. Data quality checks and raising the sample
        • 3.2.1.6. Calculating indicators
        • 3.2.1.7. Data presentation and utilization – from the field to policy advice
      • 3.2.2. Seafood marketing data
        • 3.2.2.1. Definition and objectives (prices, formats)
        • 3.2.2.2. Type of data and data sources
  • 4. National Fisheries statistics and management information systems (FISMIS) (3 hours)
    • 4.1. Design and implementation of FISMIS
      • 4.1.1. Management of national classifications, mapping with regional and international standards
      • 4.1.2. Data and information domains: administrative data, fishing activities (landing form, logbook, other data flows)
      • 4.1.3. Statistical Working System (data collection and processing) and Data warehouse for dissemination
      • 4.1.4. Statistics; other domains; geographic information systems (GIS)
    • 4.2. FAO approach to FISMIS implementation
    • 4.3. New tools for data collection, processing and reporting (use of mobile application, AIS data as source of effort data etc.)
    • 4.4. Case study on FISMIS, Spain
  • 5. Regional and International fisheries statistics (5 hours)
    • 5.1. Eurostat statistics
      • 5.1.1. European fisheries statistics framework
      • 5.1.2. Future trends on fisheries statistics
      • 5.1.3. Online database
    • 5.2. FAO and fishery statistics
      • 5.2.1. FAO fisheries statistics
      • 5.2.2. Support to Regional fisheries framework (e.g. GFCM, WECAFC)
  • 6. Working groups to carry out practical exercises on the organization of fisheries statistics systems (6 hours)
  • 7. Open discussion (1 hour)

Train at an outstanding international institution

Registration

If you wish to participate in the course, apply online at the following address: www.admission.iamz.ciheam.org

The course is targeted to professionals with a university degree, and is addressed to fisheries managers, statisticians and researchers with responsibilities on fisheries data collection and on the design, production and use of fisheries statistics.

Given the diverse nationalities of the lecturers, knowledge of English, French or Spanish will be valued in the selection of candidates, since they will be the working languages of the course. The Organization will provide simultaneous interpretation of the lectures in these three languages.

The course will be held online from 9 to 19 November 2020, over nine 4-hour days, from 14:00h to 18:30h (Central European Time).

Application deadline: 1 October 2020

Registration fees for the course amount to 400 euro. This sum covers tuition fees only.
Candidates from CIHEAM member countries (Albania, Algeria, Egypt, France, Greece, Italy, Lebanon, Malta, Morocco, Portugal, Spain, Tunisia and Turkey) may receive financial support covering registration fees. Applications from other FAO member countries may also be considered.
Candidates from other countries who require financial support should apply directly to other national or international institutions.

Mediterranean Agronomic Institute of Zaragoza

Av. Montañana 1005, 50059 Zaragoza, Spain

www.iamz.ciheam.org

iamz@iamz.ciheam.org

+34 976716000

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