Abstract
A non-linear lysis term for simulation of K. brevis HAB termination on the West Florida Shelf is introduced, with the assumption that particle encounters of planktonic microalgae and bacteria can be described as the square of the phytoplankton biomass. This formulation also accounts for nutrient-limitation of K. brevis as a precondition for susceptibility to bacterial and viral attack, and potentially programmed cell death. Two model simulations were run of linear and non-linear lysis cases. Model output was compared against observed weekly maximum K. brevis concentrations, with statistical metrics calculated over three HAB phases during 2001. Introduction of the non-linear lysis term increased the modeling efficiency by 0.68 due to improved reproduction of the bloom termination.
Purpose
This study describes the relationships among particle encounters, susceptibility to bacterial and viral attack, and K. brevis HAB termination. Following Lenes et al. 2012, previous studies represent model output using a linear lysis equation for K. brevis mortality. The new lysis term is the model simulation output using a new non-linear term after Lenes et al. 2013 in order to improve the model output/data fit.
Keywords
Karenia brevis, Aerosol toxicity
UDI
R1.x135.122:0003
Date
3-18-2016 12:00 AM
Point of Contact
Lenes, Jason
University of South Florida
College of Marine Science
140 7th Ave South
St. Petersburg , FL 33701
USA
lenes@usf.edu
Funding Source
RFP-I
Start of Data Collection
1-1-2001
End of Data Collection
12-31-2001
DOI
https://doi.org/10.7266/N73N21C0
Rights Information
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.
Scholar Commons Citation
Lenes, Jason M., "Dataset for: Simulating cell death in the termination of Karenia brevis blooms: Implications for predicting aerosol toxicity vectors to humans" (2016). C-IMAGE data. 8.
https://digitalcommons.usf.edu/cimage_data/8
XML Metadata
Comments
Data and metadata is made available by the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) through a CC0 license in compliance with the Gulf of Mexico Research Initiative (GoMRI). The original dataset landing pages may be accessed at GRIIDC’s dataset monitoring webpage.
Data users are encouraged to contact the originating investigator prior to data use and provide appropriate credit.