Oceans are physically and biologically dynamic, yet strategies to manage oceans are often implemented at overly coarse spatiotemporal scales. Novel spatial management strategies that seek to reduce conflict between ocean users are gaining in popularity. One such approach is Dynamic Ocean Management (DOM) which is a management strategy that uses physical, biological, and socio-economic data to rapidly respond in space and time to the variability of the ocean and its users. DOM is an emerging field of research that has been demonstrated to have wide application to ocean users around the globe. DOM has typically been implemented on a near real-time basis, but improvements in ocean forecasting on time scales of weeks to decades have provided additional approaches to resolving ocean conflicts. I will describe a number of case studies from around the world that highlight how DOM strategies can help achieve conservation targets, support economic viability, and sustain social sustainability. Case studies will range from a bycatch reduction tool in the Californian Drift Gillnet fishery, to a seasonal forecast of dolphinfish (Coryphaena hippurus) distribution in eastern Australia. The continued development and application of DOM will help ocean user groups and management cope with future uncertainty and variability in the distribution of motile marine species.