Global parameter estimation of the Cochlodinium polykrikoides model using bioassay data SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 1 time in Scopus
Title
Global parameter estimation of the Cochlodinium polykrikoides model using bioassay data
Author(s)
Hong-Yeon, Cho; Kwang-Soon, Park; Sung, Kim
KIOST Author(s)
Cho, Hong Yeon(조홍연)Kim, Sung(김성)
Publication Year
2016-02
Abstract
Cochlodinium polykrikoides is a notoriously harmful algal species that inflicts severe damage on the aquacultures of the coastal seas of Korea and Japan. Information on their expected movement tracks and boundaries of influence is very useful and important for the effective establishment of a reduction plan. In general, the information is supported by a red-tide (a.k.a algal bloom) model. The performance of the model is highly dependent on the accuracy of parameters, which are the coefficients of functions approximating the biological growth and loss patterns of the C. polykrikoides. These parameters have been estimated using the bioassay data composed of growth-limiting factor and net growth rate value pairs. In the case of the C. polykrikoides, the parameters are different from each other in accordance with the used data because the bioassay data are sufficient compared to the other algal species. The parameters estimated by one specific dataset can be viewed as locally-optimized because they are adjusted only by that dataset. In cases where the other one data set is used, the estimation error might be considerable. In this study, the parameters are estimated by all available data sets without the use of only one specific data set and thus can be considered globally optimized. The cost function for the optimization is defined as the integrated mean squared estimation error, i.e., the difference between the values of the experimental and estimated rates. Based on quantitative error analysis, the root-mean squared errors of the global parameters show smaller values, approximately 25%-50%, than the values of the local parameters. In addition, bias is removed completely in the case of the globally estimated parameters. The parameter sets can be used as the reference default values of a red-tide model because they are optimal and representative. However, additional tuning of the parameters using the in-situ monitoring data is highly required. As opposed to the bioassay data, it is necessary because the bioassay data have limitations in terms of the in-situ coastal conditions.
ISSN
0253-505X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2252
DOI
10.1007/s13131-016-0806-0
Bibliographic Citation
ACTA OCEANOLOGICA SINICA, v.35, no.2, pp.39 - 45, 2016
Publisher
SPRINGER
Subject
HARMFUL ALGAL BLOOMS; MARGALEF DINOPHYCEAE; GROWTH; DINOFLAGELLATE
Keywords
global and local estimation; gain and loss parameters; Cochlodinium polykrikoides; bioassay data; model performance
Type
Article
Language
English
Document Type
Article
Publisher
SPRINGER
Related Researcher
Research Interests

Spawning ecology of fishes,Marine Environmental DNA Biomonitoring,어류산란생태,해양 eDNA 분석

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