What types of data do we need to collect What for ?

Outline Background to data What data is used for Broad types of data needed for coastal fisheries

Data validate qualitative (anecdotal) information and establishes a basis for making decisions: decisions that optimise/maximise the use of resources in a sustainable manner. Data: provide a record (historical) measure of change or otherwise allows for monitoring of impacts helps inform management (decision, policy making, where do we allocate resources) Representative data can provide insight to what is happening now, what has happened in the past, and what may happen in the future Data a subset of information that: Is a quantitative record/measure of thing/events/experiences; measures change and the extent of activity/acquisition of resources; ensures consistency when recording things/events/experiences; informs, educates and facilitates management processes (e.g. decision-making, policy-making, resource allocation). depending on the management decisions/arrangements Why collect data - provide a record of the history of fishery - helps in decision making to ensure sustainable fisheries - allows for the establishment of management measures inform and advise stakeholders helps in development of management plans

Standardisation of data collection allows: Understanding what data will be used for is fundamental in the design stage of data collection programmes Need to know the management question to be answered to allow the appropriate data to be collected? Pilot studies could be undertaken to test data collection methodologies, statistical rigor Standardisation of data collection allows: for lessons learnt to be shared comparison over time and between locations you to borrow data in the absence of local information representation of exploitation rates state of resources Allows for an analysis for when things go wrong Borrow: eg length at maturity for species A in location B

Data collection approaches In-water surveys, abundance, size structures Creel – interviews production, catch composition Market surveys, price, types of fish sold Biological sampling, age, growth, F,Z,M maturity Logbooks, production, where fish caught Need to link the best approach to the data, even with technology offering ways of collecting data If the question that requires answer is about: how much fish is being caught, an appropriate data collection system would be creel, log forms

Wide range and types of data Scientific surveys, (density, fish measurements, otolith) Fisheries dependent / Fisheries independent (IP4) Statistically sound/valid (number based) Numbers versus non-numbered (quantitative versus qualitative) Perceptions (things have changed, fish are smaller, catching less) Pictures of transect, creel, measuring fish etc Scientific survey: done by team of people

Anecdotal evidence (e.g. spawning seasons) Traditional knowledge/experience (qualitative) Can be used individually or in combination to help management Talk to pictures

Data requirements for coastal fisheries Assessing stock status for management Information on the status of stocks, Level and methods of extraction (catch, location) Importance of fisheries for food security and livelihood Aquaculture Necessary for monitoring and improve of production cycles Tracking a list of active farms and infrastructure Get information about production and socio economic benefits Brief overview, individual speakers will cover ….. feasibility (technical, economical) of something (rabbit fish farming)

Data requirements for coastal fisheries Economic Look at gender perspectives and house hold demographics (fish consumption, livelihoods) Determine the viability of fishing or aquaculture options MCS MCS data to facilitate better deployment of scarce resources to maximise MCS efficiency (e.g. number of inspections at landing sites, market etc)

Thank you Merci