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An in situ Sensor of Phytoplankton Community Structure Based on Light Absorption Gary Kirkpatrick, David Millie, Steven Lohrenz, Mark Moline, Ian Robbins.

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Presentation on theme: "An in situ Sensor of Phytoplankton Community Structure Based on Light Absorption Gary Kirkpatrick, David Millie, Steven Lohrenz, Mark Moline, Ian Robbins."— Presentation transcript:

1 An in situ Sensor of Phytoplankton Community Structure Based on Light Absorption Gary Kirkpatrick, David Millie, Steven Lohrenz, Mark Moline, Ian Robbins and Oscar Schofield

2 Acknowledgements National Science Foundation –Biological Sciences Directorate –Ocean Sciences Division National Oceanic and Atmospheric Administration –ECOHAB –MERHAB –Sea Grant Florida Fish and Wildlife Conservation Commission –Florida Fish and Wildlife Research Institute Office of Naval Research

3 Finding, Tracking and Mapping Harmful Algae

4 Our Approach to HAB Detection, Tracking and Mapping Based on in situ particulate absorption spectra Originally, analysis by similarity of 4 th derivative spectra Most recently, multiple species regression analysis (after Stæhr and Cullen)

5 Advantages Over (traditional) Microscopic Enumeration Readily automated – minimal human involvement Good spatial and temporal coverage Less weather dependent Economical

6 This Presentation Single-species Similarity –laboratory to autonomous field application Multiple-species Community Composition –laboratory to field trials

7 FO Spectrometer Light Source LWCC FO Reference Water Cross-flow Filter Valve Cleaning Solutions Pump Valve Optical Phytoplankton Discriminator (OPD)

8 Chl c Chl b phcobilin Laboratory Class Comparisons

9 Shipboard Underway HAB Detection

10 OPD Map of HAB

11 OPD-equipped Vehicles REMUS – Propeller Driven Glider – Buoyancy Driven BreveBuster Payload BSOP Vertical Profiler

12 Launch Before Dive Gliding OPD-equipped Glider Surveying HAB Mission Track & Satellite Image Resulting Red Tide Distribution

13 Glider Mission - Sep 28, 2004 – Oct 7, 2004

14 Karenia brevis Similarity Contours

15 Fitting Multiple Classes Least squares, multiple regression analyses (after Stæhr and Cullen, 2003). Optimization/reduction algorithm to minimize computational load.

16 Laboratory Species Mixes OPD vs CHEMTAX

17 Multiple Class Library

18 Library Standard Spectra AbsorbanceFourth Derivative

19 Natural Community Classes OPD Chl a vs CHEMTAX Chl a

20 Discussion Initial results encouraging. Library of ‘standard’ species incomplete! Libraries need to be regional. Culture ID and condition are critical!! –Garbage in, garbage out!


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