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This is a box.
We like to manage the ocean with boxes.
The ocean doesn't like to stay in our boxes.

Research in the Applied Marine Biogeography Lab focuses on developing and delivering empirical models to empower resource users and managers to act more dynamically.

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Managing in space & time

We persist in clinging to the idea that resources or biodiversity must be spatially or temporally persistent for managers to effectively address them using spatiotemporal measures. The vast majority of area-based management tools (i.e., marine protected areas or time-area closures) remain static in both time and space. A typical fishery closure operates on monthly to annual time cycles over 100s to 1000s of kilometres, but many of the patterns we seek to manage (i.e., those driving bycatch) operate at smaller scales- requiring more dynamic approaches.

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Dynamic Ocean Management

Dynamic ocean management is any coordination of activities related to the marine environment in which the time and/or location of the implemented measure is dependent on spatiotemporally variable conditions (e.g., oceanography, the contents of a haul or market signals), and is updated in near-real time with the objective of increasing efficiency by aligning the temporal and spatial scales of the resource, resource users, management, and markets. 

In AMBL, we are always looking for new applications of dynamic management and opportunities to work with managers and industry to develop new tools to allow for more efficient and sustainable use of marine resources.

 

Contact us if you want to work together.

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Related Publications

2021

Patterns of depredation in the Hawai�i deep-set longline fishery informed by fishery and false killer whale behavior

Fader, J.E., R.W. Baird, A. Bradford, D.C. Dunn, K. Forney, A. J. Read.

Ecosphere

2020

Beyond static spatial management: scientific and legal considerations for dynamic management in the high seas

Ortuño Crespo, G., D.C. Dunn, K.M. Gjerde, P.N. Halpin, J. Mossop, et al.

Mar. Policy

2019

Integrating climate adaptation and biodiversity conservation in the global protected ocean

Tittensor, D.P., Beger, M., Boerder, K., Boyce, D., Cavanagh, R., et al.

Sci. Adv.

2016

Dynamic ocean management increases the efficiency and efficacy of fisheries management

Dunn, D.C., Maxwell, S.M., Boustany, A.M., Halpin, P.N.

Proc. Natl. Acad. Sci.

2015

Spatiotemporal patterns of rockfish bycatch in US west coast groundfish fisheries: opportunities for reducing incidental catch of depleted species

Bjorkland, R., Dunn, D.C., McClure, M., Jannot, J., Bellman, M.A., et al.

Can. J. Fish. Aquat. Sci.

2015

Dynamic Ocean Management: Identifying the Critical Ingredients of Dynamic Approaches to Ocean Resource Management

Lewison, R., Hobday, A.J., Maxwell, S., Hazen, E., Hartog, J.R., et al.

Bioscience

2015

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

Maxwell, S.M., Hazen, E.L., Lewison, R.L., Dunn, D.C., Bailey, H., et al.

Mar. Policy

2014

Empirical move-on rules to inform fishing strategies: a New England case study

Dunn, D.C., Boustany, A.M., Roberts, J.J., Brazer, E., Sanderson, M., et al.

Fish Fish.

2014

Dynamic ocean management: Integrating scientific and technological capacity with law, policy and management

Hobday, A.J., Maxwell, S., Forgie, J., McDonald, J., Darby, M., et al.

Stanford Environ. Law J.

2011

Spatio-temporal management of fisheries to reduce by-catch and increase fishing selectivity

Dunn, D.C., Boustany, A.M., Halpin, P.N.

Fish Fish.

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