Optimal monitoring frequency estimation using confidence intervals for the temporal model of a zooplankton species number based on operational taxonomic units at the tongyoung marine science station SCOPUS KCI

Title
Optimal monitoring frequency estimation using confidence intervals for the temporal model of a zooplankton species number based on operational taxonomic units at the tongyoung marine science station
Author(s)
Cho, H.-Y.; Kim, S.; Lee, Y.; Jung, G.; Kim, C.-G.; Jeong, D.; Lee, Y.; Kang, M.-H.; Kim, H.; Choi, H.-Y.; Oh, J.; Myong, J.-G.; Choi, H.-J.
KIOST Author(s)
Cho, Hong Yeon(조홍연)Kim, Sung(김성)Lee, Youn Ho(이윤호)Kim, Choong Gon(김충곤)Choi, Haeyoung(최해영)Myoung, Jung Goo(명정구)Choi, Hee Jung(최희정)
Publication Year
2017
Abstract
Temporal changes in the number of zooplankton species are important information for understanding basic characteristics and species diversity in marine ecosystems. The aim of the present study was to estimate the optimal monitoring frequency (OMF) to guarantee and predict the minimum number of species occurrences for studies concerning marine ecosystems. The OMF is estimated using the temporal number of zooplankton species through bi-weekly monitoring of zooplankton species data according to operational taxonomic units in the Tongyoung coastal sea. The optimal model comprises two terms, a constant (optimal mean) and a cosine function with a one-year period. The confidence interval (CI) range of the model with monitoring frequency was estimated using a bootstrap method. The CI range was used as a reference to estimate the optimal monitoring frequency. In general, the minimum monitoring frequency (numbers per year) directly depends on the target (acceptable) estimation error. When the acceptable error (range of the CI) increases, the monitoring frequency decreases because the large acceptable error signals a rough estimation. If the acceptable error (unit: number value) of the number of the zooplankton species is set to 3, the minimum monitoring frequency (times per year) is 24. The residual distribution of the model followed a normal distribution. This model can be applied for the estimation of the minimal monitoring frequency that satisfies the target error bounds, as this model provides an estimation of the error of the zooplankton species numbers with monitoring frequencies. © 2017, Korea Ocean Research and Development Institute. All rights reserved.
ISSN
1598-141X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1328
DOI
10.4217/OPR.2017.39.1.013
Bibliographic Citation
Ocean and Polar Research, v.39, no.1, pp.13 - 21, 2017
Publisher
Korea Ocean Research and Development Institute
Subject
bootstrapping; confidence interval; frequency analysis; monitoring; taxonomy; temporal analysis; zooplankton
Keywords
Bootstrap method; Confidence interval; Optimal monitoring frequency; Temporal number of species model; Zooplankton
Type
Article
Language
English
Document Type
Article
Publisher
Korea Ocean Research and Development Institute
Related Researcher
Research Interests

Marine Molecular Genetics,Marine Ecology and Evolution,해양분자유전,해양생태및진화

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