FISHERIES MANAGEMENT STANDARDS
Fisheries Management Standards
RS Standards believe that the future of Global Seafood Certification is in the creation of ‘Context Appropriate’ standards that are species and geographic appropriate both in terms of practicality and affordability.
As a result RS has developed a GSSI Compliant Fisheries Management Assurance Framework that can be used and adopted by interested organisations.
The new Fishery framework can be used to cost effectively create new robust Fisheries Management Certification solutions which will be GSSI Compliant.
Markets are now listing ‘GSSI Programs’ in their sourcing policies removing the need for fisheries to be tied to specific, expensive, externally controlled programs.
RS Standards have created a new suit of enabling tools designed to assist fisheries that may be having issues with assessments and certification due to data limitations: The new RS tool called ‘SIIMS’ aims to:
- Benchmark fisheries to improve data
- Allow fisheries to more confidently approach verification or certification schemes with new applicable information and potentially get scored or improve existing scores
- Offer novel fishery management data solutions.
SIIMS places together a range of tools for 7 key areas related to fisheries including:
· The Management System
· Stock Management
· ETP species
· Fisher welfare
Of particular interest is the Stock Management Tool that uses an integrated system that integrates 30+ tools for assessment of data-limited fisheries. This tool can potentially generate important data such as indexes of overfishing and overfished status at given exploitation levels, using base information such as catch data and other biological information for the stock/s under assessment, usually found in the available literature.
The tool is particularly well suited for species with a medium to long lifespan. Although the tool produces quite high level information, the assessment per se is much cheaper than conventional type of assessments regularly employed by management organization (e.g. size/age-structured models), and with comparable assessment accuracy in certain circumstances.