NCEAS Project 12687

SNAP: Managing Data Limited Fisheries for Economic and Biological Objectives

  • Jono R. Wilson
  • Stuart Campbell
  • Carmen Revenga

ActivityDatesFurther Information
Working Group6th—8th May 2014Participant List  

Abstract
Sixty four percent of global fisheries, comprising 80% of the global fish catch, lack the data and resources to perform formal stock assessments. These fisheries are estimated to be overfished, resulting in ecosystem degradation and reduced social and economic welfare to fishing dependent communities. Innovative approaches to assess data-limited fisheries have been developed and can assist with restoring stocks to biomass levels that achieve higher yields, increase economic opportunities, and promote ecosystem resiliency. However, there is a lack of clear guidance on the use of available approaches, the costs and benefits of the separate techniques, and the value of investing in a particular method. We propose a working group that brings together key players to 1) develop a fisheries assessment and management framework that can be applied across geographies, fishery archetypes, data availability, and spatial scales, 2) provide risk-based guidance on the socio-economic and conservation value of improved data collection and understanding of stock status, and 3) identify and implement adaptive assessment and management guidelines for depleted fisheries in collaboration with TNC and WCS field programs.