Cargando…

Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region

SIMPLE SUMMARY: This paper provides a novel approach to integrating available environmental information into fishery data using gradient-dependent optimal interpolation. Comparative verifications of observations show that the constructed subsurface temperature and salinity profiles were very consist...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Chunling, Cui, Manman, Yu, Wei, Liu, Bilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647713/
https://www.ncbi.nlm.nih.gov/pubmed/37958180
http://dx.doi.org/10.3390/ani13213425
_version_ 1785135171764224000
author Zhang, Chunling
Cui, Manman
Yu, Wei
Liu, Bilin
author_facet Zhang, Chunling
Cui, Manman
Yu, Wei
Liu, Bilin
author_sort Zhang, Chunling
collection PubMed
description SIMPLE SUMMARY: This paper provides a novel approach to integrating available environmental information into fishery data using gradient-dependent optimal interpolation. Comparative verifications of observations show that the constructed subsurface temperature and salinity profiles were very consistent with the in situ observations. The data assimilation method, named gradient-dependent optimal interpolation, gave refined matching results applied to represent the relationship between squid and environmental information. Our new method represents a useful tool in the deep research of fishery oceanography. ABSTRACT: A key issue in fishery forecasting is the collection of high-precision subsurface environmental data. A data assimilation method, named gradient-dependent optimal interpolation, was used to construct the near-real-time vertical temperature and salinity structure of a squid fishery ground based on Argo observations. The results were verified by truth-finding comparisons and applied to analyze the relationship between neon flying squid and the subsurface environment in the Kuroshio–Oyashio Confluence Region. The temperature and salinity differences between the constructed results and survey data were less than ±0.5 °C and ±0.02, respectively. Most of the relative analysis errors were less than the observational errors. Statistical analysis revealed that the most suitable temperature for squid was 18–24 °C at the near-surface (<5 m), although the squid can endure a temperature range from 11 to 12 °C at a depth of 300 m. There was an obvious thermocline in the fishery ground, with a thermocline depth of 65 m and a mean strength of approximately 0.10 °C/m. The regressive relationship between vertical temperature (thermocline parameters) and squid catch per unit effort (CPUE) followed the exponential (Gaussian) function. The most suitable salinity was 33.0–34.2 at depths shallower than 300 m.
format Online
Article
Text
id pubmed-10647713
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106477132023-11-05 Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region Zhang, Chunling Cui, Manman Yu, Wei Liu, Bilin Animals (Basel) Article SIMPLE SUMMARY: This paper provides a novel approach to integrating available environmental information into fishery data using gradient-dependent optimal interpolation. Comparative verifications of observations show that the constructed subsurface temperature and salinity profiles were very consistent with the in situ observations. The data assimilation method, named gradient-dependent optimal interpolation, gave refined matching results applied to represent the relationship between squid and environmental information. Our new method represents a useful tool in the deep research of fishery oceanography. ABSTRACT: A key issue in fishery forecasting is the collection of high-precision subsurface environmental data. A data assimilation method, named gradient-dependent optimal interpolation, was used to construct the near-real-time vertical temperature and salinity structure of a squid fishery ground based on Argo observations. The results were verified by truth-finding comparisons and applied to analyze the relationship between neon flying squid and the subsurface environment in the Kuroshio–Oyashio Confluence Region. The temperature and salinity differences between the constructed results and survey data were less than ±0.5 °C and ±0.02, respectively. Most of the relative analysis errors were less than the observational errors. Statistical analysis revealed that the most suitable temperature for squid was 18–24 °C at the near-surface (<5 m), although the squid can endure a temperature range from 11 to 12 °C at a depth of 300 m. There was an obvious thermocline in the fishery ground, with a thermocline depth of 65 m and a mean strength of approximately 0.10 °C/m. The regressive relationship between vertical temperature (thermocline parameters) and squid catch per unit effort (CPUE) followed the exponential (Gaussian) function. The most suitable salinity was 33.0–34.2 at depths shallower than 300 m. MDPI 2023-11-05 /pmc/articles/PMC10647713/ /pubmed/37958180 http://dx.doi.org/10.3390/ani13213425 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Chunling
Cui, Manman
Yu, Wei
Liu, Bilin
Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title_full Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title_fullStr Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title_full_unstemmed Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title_short Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region
title_sort application of gradient-dependent optimal interpolation in fishery analysis of neon flying squid (ommastrephes bartramii) in the kuroshio–oyashio confluence region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647713/
https://www.ncbi.nlm.nih.gov/pubmed/37958180
http://dx.doi.org/10.3390/ani13213425
work_keys_str_mv AT zhangchunling applicationofgradientdependentoptimalinterpolationinfisheryanalysisofneonflyingsquidommastrephesbartramiiinthekuroshiooyashioconfluenceregion
AT cuimanman applicationofgradientdependentoptimalinterpolationinfisheryanalysisofneonflyingsquidommastrephesbartramiiinthekuroshiooyashioconfluenceregion
AT yuwei applicationofgradientdependentoptimalinterpolationinfisheryanalysisofneonflyingsquidommastrephesbartramiiinthekuroshiooyashioconfluenceregion
AT liubilin applicationofgradientdependentoptimalinterpolationinfisheryanalysisofneonflyingsquidommastrephesbartramiiinthekuroshiooyashioconfluenceregion