Location: Eastern Indonesia
Collaborators: Peter Mous (The Nature Conservancy); Jos Pet (People and Nature Consulting)
Lab Personnel: Elle Wibisono
Goal: Develop fisheries management plan(s) for the snapper-grouper fishery using collaborative data collection methods, length-based assessments, and simulation models.
Significance: Using a novel collaborative data collection methodology, this work will aid in identifying life-history parameters which are important for length-based stock assessments and ultimately lead to the establishment of harvest control rules.
Background: In multi-species fisheries, conventional data collection methods often do not provide adequate information for management purposes. Fishery-dependent methods that use logbooks are difficult to enforce and often cannot record enough data. Other fishery-dependent methods such as observers are expensive, require technical expertise, and the conditions can be unsafe. Fishery-independent methods of data collection have similar drawbacks where data sampling is expensive to implement, difficult to obtain adequate numbers of samples, and require technical expertise. In developing countries, these challenges are often exacerbated by a low capacity of individuals to analyze the data and make it useful for management. However, despite data collection and implementation challenges, the importance of robust data for fishery stock assessments remain crucial because they are the basis for fishery management plans.
Funding: The David and Lucile Packard Foundation, US Agency for International Development (USAID), The Nature Conservancy (TNC)