Publication Date
Spring 2014
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Moss Landing Marine Laboratories
Advisor
Erika E. McPhee-Shaw
Keywords
Algal cultivation, Autonomous underwater vehicles, Biological oceanography, Optical instruments, Physical oceanography, Plankton community composition
Subject Areas
Physical oceanography; Biological oceanography; Optics
Abstract
Autonomous underwater vehicles (AUVs) equipped with oceanographic sensors demonstrate the capability to describe plankton communities in the marine environment. The vehicles collect data from the surface through the mixed layer for a variety of oceanographic parameters. The Monterey Bay Aquarium Research Institute operates the Dorado upper-water-column AUV. The Dorado AUV collects data for 32 size-classes, from 1.25 to 250 μm, using a laser in-situ scattering and transmissometry (LISST-100X) instrument. The objective of this study is to analyze data from AUVs and laboratory work to inform sampling methods with applications in targeting specific classes of plankton, particularly harmful algal bloom species. The results of this study show that specific combinations of LISST-100X size class channels can be combined to reconstruct fluorescence data. This project includes laboratory tests with monocultures of phytoplankton on both a backscattering sensor that detects chlorophyll at 695 nm and on the forward scattering LISST-100X sensor. The results show a linear relationship between backscattered chlorophyll concentration and cell density for four monocultures of phytoplankton. The forward scattering lab experiments show distinct organism signatures for three genera of phytoplankton tested as monocultures.
Recommended Citation
Wyse, Diane, "Plankton in Monterey Bay: Optimization of Optical Sensor Data from Autonomous Underwater Vehicles with Applications in Plankton Community Composition" (2014). Master's Theses. 4445.
DOI: https://doi.org/10.31979/etd.2rf8-cbzd
https://scholarworks.sjsu.edu/etd_theses/4445