Quantifying pelagic primary production and respiration via an automated in-situ incubation system

dc.contributor.advisor Long, Matthew H.
dc.contributor.author Chen, Solomon T.
dc.date.accessioned 2023-02-02T14:14:35Z
dc.date.available 2023-02-02T14:14:35Z
dc.date.issued 2023-02
dc.description Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution February 2023. en_US
dc.description.abstract Pelagic photosynthesis and respiration serve critical roles in controlling the dissolved oxygen concentration (DO) in seawater. The consumption and production via pelagic primary production are of particular importance in surface ocean and in shallow aquatic ecosystems where photosynthetically active radiation (PAR) is abundant. However, the dynamic nature and large degree of heterogeneity in these ecosystems pose substantial challenges for providing accurate estimates of marine primary production and metabolic state. The resulting lack of data in these systems hinders efforts in scaling and including primary production in predictive models. To bridge the gap, we developed and validated a novel automated water incubator that measures in-situ rates of photosynthesis and respiration. The automated water incubation system uses commercially available optodes and microcontrollers to record continuous measurements of DO within a closed chamber at desired intervals. With fast response optodes, the incubation system produced measurements of photosynthesis and respiration with hourly resolution, resolving diel signals in the water column. The high temporal resolution of the timeseries also enabled the development of Monte-Carlo simulation as a new data analysis technique to calculate DO fluxes, with improved performance in noisy timeseries. Deployment of the incubator was conducted near Ucantena Island, Massachusetts, USA. The data captured diel fluctuations in metabolic fluxes with hourly resolution, allowed for a more accurate correlation between oxygen cycling and environmental conditions, and provided improved characterization of the pelagic metabolic state. en_US
dc.description.sponsorship This thesis work was supported by NSF OTIC grant 1841092 to PI Collin Ward and Matt Long and WHOI Academic Office. The early work was also supported by NSF-REU Summer Student Fellowship program at WHOI. The subsequent development portion of this project was supported by WHOI-ADI OCIA to PI Matt Long and Ben Van Mooy. en_US
dc.identifier.citation Chen, S. (2023). Quantifying pelagic primary production and respiration via an automated in-situ incubation system [Master's thesis, Massachusetts Institute of Technology and Woods Hole Oceanographic Institution]. Woods Hole Open Access Server. https://doi.org/10.1575/1912/29648
dc.identifier.doi 10.1575/1912/29648
dc.identifier.uri https://hdl.handle.net/1912/29648
dc.language.iso en_US en_US
dc.publisher Massachusetts Institute of Technology and Woods Hole Oceanographic Institution en_US
dc.relation.ispartofseries WHOI Theses en_US
dc.subject Metabolic fluxes en_US
dc.subject Automated incubation en_US
dc.subject Monte-Carlo simulation en_US
dc.subject In-situ sensing en_US
dc.subject UV biofouling control en_US
dc.title Quantifying pelagic primary production and respiration via an automated in-situ incubation system en_US
dc.type Thesis en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 7faad78b-2a64-4310-873e-1d0341d0188c
relation.isAuthorOfPublication.latestForDiscovery 7faad78b-2a64-4310-873e-1d0341d0188c
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