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Conceptual Framework for Developing the Next Generation of Marine OBservatories (MOBs) for Science and Society.
Conceptual Framework for Developing the Next Generation of Marine OBservatories (MOBs) for Science and Society.
In the field of ocean observing, the term of “observatory” is often used without a unique meaning. A clear and unified definition of observatory is needed in order to facilitate the communication in a multidisciplinary community, to capitalize on future technological innovations and to support the observatory design based on societal needs. In this paper, we present a general framework to define the next generation Marine OBservatory (MOB), its capabilities and functionalities in an operational context. The MOB consists of four interconnected components or “gears” (observation infrastructure, cyberinfrastructure, support capacity, and knowledge generation engine) that are constantly and adaptively interacting with each other. Therefore, a MOB is a complex infrastructure focused on a specific geographic area with the primary scope to generate knowledge via data synthesis and thereby addressing scientific, societal, or economic challenges. Long-term sustainability is a key MOB feature that should be guaranteed through an appropriate governance. MOBs should be open to innovations and good practices to reduce operational costs and to allow their development in quality and quantity. A deeper biological understanding of the marine ecosystem should be reached with the proliferation of MOBs, thus contributing to effective conservation of ecosystems and management of human activities in the oceans. We provide an actionable model for the upgrade and development of sustained marine observatories producing knowledge to support science-based economic and societal decisions. Refereed 14.A Manual (incl. handbook, guide, cookbook etc) 2018-09-07
- Marine Institute Ireland
- National Institute for Aquatic Resources Denmark
- Technical University of Denmark Denmark
- National Institute of Geophysics and Volcanology Italy
- Marum Germany
Marine OBservatory, Essential ocean variables (EOV), Global Ocean Observing System (GOOS), :Cross-discipline [Parameter Discipline], Long-term sustainability, Cyberinfrastructure
Marine OBservatory, Essential ocean variables (EOV), Global Ocean Observing System (GOOS), :Cross-discipline [Parameter Discipline], Long-term sustainability, Cyberinfrastructure
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Barnes, C. R., Best, M. M., and Zielinski, A. (2008). The Neptune Canada regional cabled ocean observatory. Technology 49, 10-14.
Bermudez, L., Delory, E., O'Reilly, T., and del Rio Fernandez, J. (2009). “Ocean observing systems demystified,” in Proceedings of the OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, (Piscataway, NJ: IEEE).
Brosnahan, M. L., Farzan, S., Keafer, B. A., Sosik, H. M., Olson, R. J., and Anderson, D. M. (2014). Complexities of bloom dynamics in the toxic dinoflagellate Alexandrium fundyense revealed through DNA measurements by imaging flow cytometry coupled with species-specific rRNA probes. Deep Sea Res. Part II 103, 185-198. doi: 10.1016/j.dsr2.2013.05.034 [OpenAIRE]
Buttigieg, P. L., Fadeev, E., Bienhold, C., Hehemann, L., Offre, P., and Boetius, A. (2018). Marine microbes in 4D-using time series observation to assess the dynamics of the ocean microbiome and its links to ocean health. Curr. Opin. Microbiol. 43, 169-185. doi: 10.1016/j.mib.2018. 01.015 [OpenAIRE]
Campbell, L., Henrichs, D. W., Olson, R. J., and Sosik, H. M. (2013). Continuous automated imaging-in-flow cytometry for detection and early warning of Karenia brevis blooms in the Gulf of Mexico. Environ. Sci. Pollut. Res. 20, 6896-6902. doi: 10.1007/s11356-012-1437-4
Campbell, L., Olson, R. J., Sosik, H. M., Abraham, A., Henrichs, D. W., Hyatt, C. J., et al. (2010). First harmful Dinophysis (Dinophyceae, Dinophysiales) bloom in the US is revealed by automated imaging flow cytometry. J. Phycol. 46, 66-75. doi: 10.1111/j.1529-8817.2009.00791.x
Carpenter, S., and Cannady, J. (2004). “Tool for sharing and assessing models of fusion-based space transportation systems,” in Proccedings of the 40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, New York, NY. doi: 10.2514/6.2004-3535
Chafik, L., Rossby, T., and Schrum, C. (2014). On the spatial structure and temporal variability of poleward transport between Scotland and Greenland. J. Geophys. Res. Oceans 119, 824-841. doi: 10.1002/2013 JC009287 [OpenAIRE]
Crise, A., Kaberi, H., Ruiz, J., Zatsepin, A., Arashkevich, E., Giani, M., et al. (2015). A MSFD complementary approach for the assessment of pressures, knowledge and data gaps in Southern European Seas: the perseus experience. Mar. Pollut. Bull. 95, 28-39. doi: 10.1016/j.marpolbul.2015. 03.024 [OpenAIRE]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- UK Research and Innovation (UKRI)
- NE/N006496/1
- NERC
- Marine Institute Ireland
- National Institute for Aquatic Resources Denmark
- Technical University of Denmark Denmark
- National Institute of Geophysics and Volcanology Italy
- Marum Germany
- Nelson Mandela Metropolitan University
- Hellenic Centre for Marine Research Greece
- Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Centro Nazionale di Dati Oceanografici Italy
- National Oceanography Centre United Kingdom
- National Institute of Oceanography and Experimental Geophysics Italy
- Nelson Mandela University South Africa
- University of Bremen Germany
In the field of ocean observing, the term of “observatory” is often used without a unique meaning. A clear and unified definition of observatory is needed in order to facilitate the communication in a multidisciplinary community, to capitalize on future technological innovations and to support the observatory design based on societal needs. In this paper, we present a general framework to define the next generation Marine OBservatory (MOB), its capabilities and functionalities in an operational context. The MOB consists of four interconnected components or “gears” (observation infrastructure, cyberinfrastructure, support capacity, and knowledge generation engine) that are constantly and adaptively interacting with each other. Therefore, a MOB is a complex infrastructure focused on a specific geographic area with the primary scope to generate knowledge via data synthesis and thereby addressing scientific, societal, or economic challenges. Long-term sustainability is a key MOB feature that should be guaranteed through an appropriate governance. MOBs should be open to innovations and good practices to reduce operational costs and to allow their development in quality and quantity. A deeper biological understanding of the marine ecosystem should be reached with the proliferation of MOBs, thus contributing to effective conservation of ecosystems and management of human activities in the oceans. We provide an actionable model for the upgrade and development of sustained marine observatories producing knowledge to support science-based economic and societal decisions. Refereed 14.A Manual (incl. handbook, guide, cookbook etc) 2018-09-07