Document Type
Article
Date of Original Version
8-26-2021
Abstract
While recent research has provided increasing insight into ocean ecosystem functions and rapidly improving predictive ability, it has become clear that for some key processes, including grazing by zooplankton, there simply is no currently available instrumentation to quantify relevant stocks and rates, remotely or in situ. When measurement capacity is lacking, collaborative research between instrument manufacturers and researchers can bring us closer to addressing key knowledge gaps. By necessity, this high risk, high rewards research will require iterative steps from best case scenarios under highly controlled and often artificial laboratory conditions to empirical verification in complex in situ conditions with diverse biota. To illustrate our point, we highlight the example of zooplankton grazing in marine planktonic food webs. Grazing by single-celled zooplankton accounts for the majority of organic carbon loss from marine primary production but is still measured with logistically demanding, point-sample incubation methods that result in reproducible results but at insufficient resolution to adequately describe temporal and spatial dynamics of grazer induced impacts on primary production, export production and the annual cycle of marine plankton. We advance a collaborative research and development agenda to eliminate this knowledge gap. Resolving primary production losses through grazing is fundamental to a predictive understanding of the transfer of matter and energy through marine ecosystems, major reservoirs of the global carbon cycle.
Publication Title, e.g., Journal
Frontiers in Marine Science
Volume
8
Citation/Publisher Attribution
Menden-Deuer, Susanne, Wayne H. Slade, and Heidi Dierssen. "Promoting Instrument Development for New Research Avenues in Ocean Science: Opening the Black Box of Grazing." Frontiers in Marine Science 8, (2021). doi: 10.3389/fmars.2021.695938.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.