Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models

Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 200...
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Autor*in:	Jin Yeong Kim [verfasserIn] Jae Bong Lee [verfasserIn] Young-Sang Suh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	anchovy eggs indicators gams qgams pca-based gams

Übergeordnetes Werk:	In: Fisheries and Aquatic Sciences - The Korean Society of Fisheries and Aquatic Science, 2016, 23(2020)
Übergeordnetes Werk:	volume:23 ; year:2020

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s41240-020-00161-y

Katalog-ID:	DOAJ075857855

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allfields	10.1186/s41240-020-00161-y doi (DE-627)DOAJ075857855 (DE-599)DOAJ439bd234d3cc4c3c896682cef2b380b4 DE-627 ger DE-627 rakwb eng SH1-691 Jin Yeong Kim verfasserin aut Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies. anchovy eggs indicators gams qgams pca-based gams Aquaculture. Fisheries. Angling Jae Bong Lee verfasserin aut Young-Sang Suh verfasserin aut In Fisheries and Aquatic Sciences The Korean Society of Fisheries and Aquatic Science, 2016 23(2020) (DE-627)729009335 (DE-600)2687753-3 22341757 nnns volume:23 year:2020 https://doi.org/10.1186/s41240-020-00161-y kostenfrei https://doaj.org/article/439bd234d3cc4c3c896682cef2b380b4 kostenfrei http://www.e-fas.org/archive/view_article?pid=fas-23-0-19 kostenfrei https://doaj.org/toc/2234-1757 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 23 2020
spelling	10.1186/s41240-020-00161-y doi (DE-627)DOAJ075857855 (DE-599)DOAJ439bd234d3cc4c3c896682cef2b380b4 DE-627 ger DE-627 rakwb eng SH1-691 Jin Yeong Kim verfasserin aut Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies. anchovy eggs indicators gams qgams pca-based gams Aquaculture. Fisheries. Angling Jae Bong Lee verfasserin aut Young-Sang Suh verfasserin aut In Fisheries and Aquatic Sciences The Korean Society of Fisheries and Aquatic Science, 2016 23(2020) (DE-627)729009335 (DE-600)2687753-3 22341757 nnns volume:23 year:2020 https://doi.org/10.1186/s41240-020-00161-y kostenfrei https://doaj.org/article/439bd234d3cc4c3c896682cef2b380b4 kostenfrei http://www.e-fas.org/archive/view_article?pid=fas-23-0-19 kostenfrei https://doaj.org/toc/2234-1757 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 23 2020
allfields_unstemmed	10.1186/s41240-020-00161-y doi (DE-627)DOAJ075857855 (DE-599)DOAJ439bd234d3cc4c3c896682cef2b380b4 DE-627 ger DE-627 rakwb eng SH1-691 Jin Yeong Kim verfasserin aut Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies. anchovy eggs indicators gams qgams pca-based gams Aquaculture. Fisheries. Angling Jae Bong Lee verfasserin aut Young-Sang Suh verfasserin aut In Fisheries and Aquatic Sciences The Korean Society of Fisheries and Aquatic Science, 2016 23(2020) (DE-627)729009335 (DE-600)2687753-3 22341757 nnns volume:23 year:2020 https://doi.org/10.1186/s41240-020-00161-y kostenfrei https://doaj.org/article/439bd234d3cc4c3c896682cef2b380b4 kostenfrei http://www.e-fas.org/archive/view_article?pid=fas-23-0-19 kostenfrei https://doaj.org/toc/2234-1757 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 23 2020
allfieldsGer	10.1186/s41240-020-00161-y doi (DE-627)DOAJ075857855 (DE-599)DOAJ439bd234d3cc4c3c896682cef2b380b4 DE-627 ger DE-627 rakwb eng SH1-691 Jin Yeong Kim verfasserin aut Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies. anchovy eggs indicators gams qgams pca-based gams Aquaculture. Fisheries. Angling Jae Bong Lee verfasserin aut Young-Sang Suh verfasserin aut In Fisheries and Aquatic Sciences The Korean Society of Fisheries and Aquatic Science, 2016 23(2020) (DE-627)729009335 (DE-600)2687753-3 22341757 nnns volume:23 year:2020 https://doi.org/10.1186/s41240-020-00161-y kostenfrei https://doaj.org/article/439bd234d3cc4c3c896682cef2b380b4 kostenfrei http://www.e-fas.org/archive/view_article?pid=fas-23-0-19 kostenfrei https://doaj.org/toc/2234-1757 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 23 2020
allfieldsSound	10.1186/s41240-020-00161-y doi (DE-627)DOAJ075857855 (DE-599)DOAJ439bd234d3cc4c3c896682cef2b380b4 DE-627 ger DE-627 rakwb eng SH1-691 Jin Yeong Kim verfasserin aut Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies. anchovy eggs indicators gams qgams pca-based gams Aquaculture. Fisheries. Angling Jae Bong Lee verfasserin aut Young-Sang Suh verfasserin aut In Fisheries and Aquatic Sciences The Korean Society of Fisheries and Aquatic Science, 2016 23(2020) (DE-627)729009335 (DE-600)2687753-3 22341757 nnns volume:23 year:2020 https://doi.org/10.1186/s41240-020-00161-y kostenfrei https://doaj.org/article/439bd234d3cc4c3c896682cef2b380b4 kostenfrei http://www.e-fas.org/archive/view_article?pid=fas-23-0-19 kostenfrei https://doaj.org/toc/2234-1757 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 23 2020
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author	Jin Yeong Kim
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topic_title	SH1-691 Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models anchovy eggs indicators gams qgams pca-based gams
topic	misc SH1-691 misc anchovy eggs misc indicators misc gams misc qgams misc pca-based gams misc Aquaculture. Fisheries. Angling
topic_unstemmed	misc SH1-691 misc anchovy eggs misc indicators misc gams misc qgams misc pca-based gams misc Aquaculture. Fisheries. Angling
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title	Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models
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title_full	Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models
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title_sort	oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models
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title_auth	Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models
abstract	Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies.
abstractGer	Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies.
abstract_unstemmed	Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5–63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3–67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies.
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Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models

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