Derived ocean features for dynamic ocean management
Open accessAbstract
Primary environmental variables, such as sea surface temperature, wind speed, and chlorophyll, have been used widely in a variety of studies by biological oceanographers to explore the relationship between "physics" and, say, distribution and abundance of marine organisms. Fisheries scientists in particular have explored a range of relationships between physics and catch data to understand fish distribution and fishing impacts. The explanatory power of models based on such primary variables is typically limited and may not lead to insight into mechanisms behind the environmental associations. Variables that are more direct measures of habitat, such as thermal fronts, upwelling zones, eddies, and water column descriptors (e.g., mixed layer depth), may yield additional explanatory power. We have developed a suite of these derived variables and demonstrate their utility using examples from Australian fisheries and marine spatial planning. Refinement and access to derived variables may be useful in a range of applications, including catch standardization, habitat prediction, ecosystem models, spatial management, and harvest strategies, and will play an important role in the emerging area of dynamic ocean management.
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More reliable coastal SST forecasts from the North American multimodel ensemble
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Future Ocean Observations to Connect Climate, Fisheries and Marine Ecosystems
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Satellite Remote Sensing in Shark and Ray Ecology, Conservation and Management
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Embracing Complexity and Complexity-Awareness in Marine Megafauna Conservation and Research
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Eating locally: Australasian gannets increase their foraging effort in a restricted range
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Seascape topography slows predicted range shifts in fish under climate change
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Mesoscale productivity fronts and local fishing opportunities in the European Seas
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Self-citationMulti-criteria analysis for rapid vulnerability assessment of marine species to climate change
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Fisheries at Lagrangian fronts
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Perceptions of system-identity and regime shift for marine ecosystems
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Towards accurate L4 ocean colour products: Interpolating remote sensing reflectance via DINEOF
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13. Building the scientific and analytical framework for Dynamic Ocean Management
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Subseasonal-to-seasonal forecasts enhance effective marine decision-making in a fast-changing ocean
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Self-citationGómez, A. B., García‐Barón, I., Lukyanova, O., & Galparsoro, I. (2026) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.70460
- Authors
- Research, C. O. A. A., Hobday, A., & Hartog, J.
- Affiliations
- CSIRO Oceans and Atmosphere (AU)
- Corresponding author
- Hobday, Alistair
- Venue
- Oceanography
- Publisher
- The Oceanography Society
- Published
- 2014-12-01
- Volume
- 27
- Issue
- 4
- Pages
- 134-145
- ISSN
- 1042-8275 (ISSN-L)
- OpenAlex
- W2317974489
- Cited by
- 80
- References
- 79
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 13 · 2023: 5 · 2022: 1 · 2021: 13 · 2020: 4 · 2019: 8 · 2018: 7 · 2017: 10 · 2016: 6 · 2015: 8
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Oceanography (publishedVersion, cc-by)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Commonwealth Scientific and Industrial Research Organisation
- Fisheries Research and Development Corporation
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Keywords
- dynamic ocean management, thermal fronts, upwelling zones, ocean eddies, mixed layer depth, marine spatial planning, ecosystem models, Australian fisheries
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