Phytoplankton Dynamics Studying Using Observation and Bio-physical Modeling

Phytoplankton Dynamics Studying Using Observation and Bio-physical Modeling
Author :
Publisher :
Total Pages : 101
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ISBN-10 : OCLC:847123986
ISBN-13 :
Rating : 4/5 (86 Downloads)

Book Synopsis Phytoplankton Dynamics Studying Using Observation and Bio-physical Modeling by : Yi Xu

Download or read book Phytoplankton Dynamics Studying Using Observation and Bio-physical Modeling written by Yi Xu and published by . This book was released on 2013 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continental shelf phytoplankton bloom dynamics are associated with meteorological, oceanographic and coastal forcing mechanisms. Mixing related to stratification and de-stratification is a key process of the physical environment that can control the timing and magnitude of blooms. Using data from satellite, coastal ocean observatory and bio-physical model, this study investigated the seasonal and decadal variability of chlorophyll in the Mid-Atlantic Bight and how different forcing mechanisms affect the phytoplankton bloom. The temporal and spatial distribution of chlorophyll a in the MAB was quantified using satellite data collected by the Sea-viewing Wide Field of view Sensor (SeaWiFS). The MAB undergoes a fall-winter bloom in the middle-outer shelf region and spring bloom in the shelf-break region. The interannual variability of bloom magnitude is associated with wind-induced mixing. Mixing has been recognized as having an important role in influencing underwater light and nutrient budgets and thus regulating phytoplankton bloom. The ratio of light over mixed layer depth (MLD) was used to determine the trade-off effects of mixing on phytoplankton bloom activity. We find that a critical light value around 60 (W m-2) for the shelf region and 150 (W m-2) for the shelf-break front region in promoting maximum phytoplankton biomass and there is a predictable linear regression relationship between the critical light value and depth. The bio-physical model identified the wind-induced mixing, net heat flux and river run-off are the most important factors influencing water column stability. Sensitivity studies showed that the timing of the destratification and initiation of fall bloom was closely related to the wind forcing. The river's role in bringing buoyancy was significant in increasing phytoplankton bloom. The decadal declines in the seasonal satellite estimates of chlorophyll a concentrations have been observed in the fall and winter in the MAB and are hypothesized to reflect shifts in the Atlantic Multidecadal Oscillation (AMO) that alters wind stress, river discharge, and net heat flux. This work prototypes the integration of observation and modeling in a coastal environment and demonstrates the use of 3D coupled physical-biological model forced with realistic atmospheric forcing to study the phytoplankton dynamics in the MAB.


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