Using dynamical seasonal forecasts in marine management

摘要: Seasonal forecasting has great scope for use in marine applications, particularly those with a management focus. forecasts from dynamical ocean-atmosphere models of high risk conditions ecosystems can be very useful tools managers, allowing proactive responses on range timescales. Applications include coral bleaching predictions and ocean driving fisheries. Real-time the Great Barrier Reef (GBR) are currently produced operationally using Bureau Meteorology's seasonal forecast model POAMA. These provide an early warning potential prior to summer, which allows reef managers both focus monitoring programs implement strategies minimise damage, as well brief stakeholders. Additionally, probabilistic information likelihood event occurring, is planning focusing resources. A second example multi-species long-line fishery east coast Australia. Forecasts temperature POAMA used statistical tuna habitat produce experimental maps Australian Marine Fisheries Authority setting zones. also being predict salmon aquaculture farms around Tasmania, by coordinate activities manage farm health. Probabilistic products these fisheries under development consultation industry aim easily understood tools.