Dynamic ocean management: Defining and conceptualizing real-time management of the ocean

By S. Maxwell, E. Hazen, Rebecca Lewison, D. Dunn, H. Bailey, S. Bograd, Dana K. Briscoe, Sabrina Fossette, A. Hobday, M. Bennett and 9 more. 2015

438 citations recorded by the source corpus.

Most spatial marine management techniques (e.g., marine protected areas) draw stationary boundaries around often mobile marine features, animals, or resource users. While these approaches can work for relatively stationary marine resources, to be most effective marine management must be as fluid in space and time as the resources and users we aim to manage. Instead, a shift towards dynamic ocean management is suggested, defined as management that rapidly changes in space and time in response to changes in the ocean and its users through the integration of near real-time biological, oceanographic, social and/or economic data. Dynamic management can refine the temporal and spatial scale of managed areas, thereby better balancing ecological and economic objectives. Temperature dependent habitat of a hypothetical mobile marine species was simulated to show the efficiency of dynamic management, finding that 82.0 to 34.2 percent less area needed to be managed using a dynamic approach. Dynamic management further complements existing management by increasing the speed at which decisions are implemented using predefined protocols. With advances in data collection and sharing, particularly in remote sensing, animal tracking, and mobile technology, managers are poised to apply dynamic management across numerous marine sectors. Existing examples demonstrate that dynamic management can successfully allow managers to respond rapidly to changes on-the-water, however to implement dynamic ocean management widely, several gaps must be filled. These include enhancing legal instruments, incorporating ecological and socioeconomic considerations simultaneously, developing ‘out-of-the-box’ platforms to serve dynamic management data to users, and developing applications broadly across additional marine resource sectors.

Subfields: Ecology, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/dab322719b92f97541f9a5259755a82296ceceed

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H. Bailey

Citations in the corpus

Dynamic ensemble models to predict distributions and anthropogenic risk exposure for highly mobile species (2019, background): “Dynamic management has been identified as a poten‐ tial solution to this problem by allowing management decisions to be updated in space and time in response to changing environmen‐ tal or socioeconomic conditions (Lewison et al., 2015; Maxwell et al., 2015).”
Addressing fisheries bycatch in a changing world (2015, background): “Dynamic ocean management practices (DOM) that explicitly account for dynamic oceanographic and fishing conditions are increasingly gaining traction worldwide (Hobday et al., 2014; Lewison et al., 2015; Maxwell et al., 2015).”
Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers (2017, background): “SDMs developed from contemporaneous covariates are particularly relevant for adaptive or near- real- time ocean management of dynamic ecosystems (Maxwell et al., 2015).”
Scale of inference: on the sensitivity of habitat models for wide‐ranging marine predators to the resolution of environmental data (2017, background): “In the oceans, accurate models are especially important where management of marine resources seeks to integrate the dynamic nature of both pelagic ecosystems and anthropogenic activities in near real-time (i.e. Dynamic Ocean Management, DOM; Howell et al. 2015; Hobday et al. 2011; Maxwell et al. 201”
Marine mammal conservation: over the horizon (2021, methodology): “This shift towards ecosystem-level modelling requires data on diet composition and flexibility (Smout & Lindstrøm 2007) but could facilitate more dynamic management strategies (Maxwell et al. 2015).”
Are we working towards global research priorities for management and conservation of sea turtles (2016, background): “…2014), assessments of critical habitat and environmental sensitivity (Lopez et al. 2015, Martin et al. 2015b), management of wider ocean ecosystems (Maxwell et al. 2014, 2015) and understanding the connections be - tween diverse stakeholders (e.g. Weiss et al. 2012, 2013) all call into play broad…”
The mechanics of blue growth: Management of oceanic natural resource use with multiple, interacting sectors (2018, background): “frameworks to respond in near real time to changing environmental, economic, and social conditions [18].”
Integrating research using animal‐borne telemetry with the needs of conservation management (2017, background): “For instance, dynamic ocean management is an approach that changes in space and time in response to the shifting nature of the ocean, the animals in it, and its users based on the integration of current biological, oceanographic, social and/or economic data (Maxwell et al. 2015).”