Optimization of a survey using spatially balanced sampling: a single-year application of clam monitoring in the Arcachon Bay (SW France)

摘要: Bivalves are important components of benthic marine and freshwater ecosystems throughout the world. One most exploited bivalves used for human consumption is manila clam (Venerupis philippinarum ). In Arcachon Bay (SW France), commercial fishers scientists have developed a monitoring survey to estimate stocks assist in implementing sustainable management strategy. The design that currently based on standard stratified random sampling (StRS). has been undertaken every 2 years since 2006. Each costs approximately €50 000, with funding provided by ∼20% fishers. quite expensive, given this resource managed mostly at regional level. 2016 instance, was not done because shortfall funds support it. Recent studies designs focused new developments allow higher statistical efficiency (lower error) coupled lower effort. Among these spatially balanced generalized tessellation (GRTS) design. aim study compare performance common StRS method GRTS To do this, we created semi-virtual population extrapolating 2012 field results whole bay simulated events two designs. We then assessed using three threshold precision levels (5%, 10% 20% precision) estimators interest (biomass abundance). recommend use surveys Bay. achieve same level precision, requires less effort than StRS.