A framework for the assessment of Snow Crab (Chionoecetes opilio) in Maritimes Region (NAFO Div 4VWX)

Abstract

This is a review of spatiotemporal modeling in the context of stock assessment of Snow Crab (Chionoecetes opilio) in Maritimes Region. We discuss the rationale for using autocorrelation function and conditional autoregressive areal unit models. We demonstrate the utility of the latter to estimate abundance in sampling programs prone to incomplete sampling or logistical failure. These considerations suggest significant utility in basing future assessments on areal unit models. They also suggest that a systematic application of such methods across all species would provide meaningful comparisons of interspecific use of space and ecosystem requirements/sensitivities. They are also easily adapted to prognostic climate change scenarios. These are simple but necessary steps towards a truly ecosystem-based management of fisheries.