基于物理-生化耦合模型的剑乌贼潜在渔场预测

IF 1.9 2区 农林科学 Q2 FISHERIES Fisheries Oceanography Pub Date : 2023-07-11 DOI:10.1111/fog.12652
Takeshi Ito, Katsumi Takayama, Naoki Hirose
{"title":"基于物理-生化耦合模型的剑乌贼潜在渔场预测","authors":"Takeshi Ito,&nbsp;Katsumi Takayama,&nbsp;Naoki Hirose","doi":"10.1111/fog.12652","DOIUrl":null,"url":null,"abstract":"<p>Swordtip squid (<i>Uroteuthis edulis</i>), which is sometimes eaten alive (lively squid) in northwest Kyushu, Japan, is an economically important fish species in the region. However, the total catch of this species in Japan has declined by more than 80% in the last three decades. To understand and predict the spatio-temporal distribution of fish species, we developed a one-dimensional ecosystem (NPZD) model and a habitat suitability index (HSI) model for southwest Iki Island, northwest Kyushu, Japan. Subsequently, we conducted three numerical experiments with the HSI model, with and without the NPZD model data (with the NPZD model data: phytoplankton or zooplankton concentrations, without the NPZD model data: only the physical data of the ocean). In the HSI model with zooplankton concentrations, we found a stronger positive relationship between the HSI model values and the daily fisheries catch data of <i>U. edulis</i> than that using only the physical variables of the ocean as the environmental parameters. Our study thus indicates that the performance of the fishing ground prediction model will improve by utilizing the lower trophic ecosystem model such as zooplankton concentrations. Furthermore, our results would provide important implications for the efficiency of fishing operations and the conservation and management of this species.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of potential fishing grounds of swordtip squid (Uroteuthis edulis) based on a physical–biochemical coupled model\",\"authors\":\"Takeshi Ito,&nbsp;Katsumi Takayama,&nbsp;Naoki Hirose\",\"doi\":\"10.1111/fog.12652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Swordtip squid (<i>Uroteuthis edulis</i>), which is sometimes eaten alive (lively squid) in northwest Kyushu, Japan, is an economically important fish species in the region. However, the total catch of this species in Japan has declined by more than 80% in the last three decades. To understand and predict the spatio-temporal distribution of fish species, we developed a one-dimensional ecosystem (NPZD) model and a habitat suitability index (HSI) model for southwest Iki Island, northwest Kyushu, Japan. Subsequently, we conducted three numerical experiments with the HSI model, with and without the NPZD model data (with the NPZD model data: phytoplankton or zooplankton concentrations, without the NPZD model data: only the physical data of the ocean). In the HSI model with zooplankton concentrations, we found a stronger positive relationship between the HSI model values and the daily fisheries catch data of <i>U. edulis</i> than that using only the physical variables of the ocean as the environmental parameters. Our study thus indicates that the performance of the fishing ground prediction model will improve by utilizing the lower trophic ecosystem model such as zooplankton concentrations. Furthermore, our results would provide important implications for the efficiency of fishing operations and the conservation and management of this species.</p>\",\"PeriodicalId\":51054,\"journal\":{\"name\":\"Fisheries Oceanography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fisheries Oceanography\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/fog.12652\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fisheries Oceanography","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/fog.12652","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}
引用次数: 0

摘要

日本九州西北部的剑乌贼(Uroteuthis edulis)有时被生吃(活鱿鱼),是该地区重要的经济鱼类。然而,在过去的三十年里,日本的这种物种的总捕获量下降了80%以上。为了解和预测九州西北部Iki岛西南部鱼类的时空分布,建立了一维生态系统(NPZD)模型和生境适宜性指数(HSI)模型。随后,我们用HSI模式进行了三次数值实验,有和没有NPZD模式数据(有NPZD模式数据:浮游植物或浮游动物浓度,没有NPZD模式数据:只有海洋的物理数据)。在具有浮游动物浓度的HSI模型中,我们发现HSI模型值与edulis每日渔业捕捞数据之间的正相关关系比仅使用海洋物理变量作为环境参数的HSI模型值更强。研究结果表明,利用浮游动物浓度等低营养生态系统模型可以提高渔场预测模型的性能。此外,我们的研究结果将对捕鱼作业的效率和该物种的保护和管理提供重要的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Prediction of potential fishing grounds of swordtip squid (Uroteuthis edulis) based on a physical–biochemical coupled model

Swordtip squid (Uroteuthis edulis), which is sometimes eaten alive (lively squid) in northwest Kyushu, Japan, is an economically important fish species in the region. However, the total catch of this species in Japan has declined by more than 80% in the last three decades. To understand and predict the spatio-temporal distribution of fish species, we developed a one-dimensional ecosystem (NPZD) model and a habitat suitability index (HSI) model for southwest Iki Island, northwest Kyushu, Japan. Subsequently, we conducted three numerical experiments with the HSI model, with and without the NPZD model data (with the NPZD model data: phytoplankton or zooplankton concentrations, without the NPZD model data: only the physical data of the ocean). In the HSI model with zooplankton concentrations, we found a stronger positive relationship between the HSI model values and the daily fisheries catch data of U. edulis than that using only the physical variables of the ocean as the environmental parameters. Our study thus indicates that the performance of the fishing ground prediction model will improve by utilizing the lower trophic ecosystem model such as zooplankton concentrations. Furthermore, our results would provide important implications for the efficiency of fishing operations and the conservation and management of this species.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Fisheries Oceanography
Fisheries Oceanography 农林科学-海洋学
CiteScore
5.00
自引率
7.70%
发文量
50
审稿时长
>18 weeks
期刊介绍: The international journal of the Japanese Society for Fisheries Oceanography, Fisheries Oceanography is designed to present a forum for the exchange of information amongst fisheries scientists worldwide. Fisheries Oceanography: presents original research articles relating the production and dynamics of fish populations to the marine environment examines entire food chains - not just single species identifies mechanisms controlling abundance explores factors affecting the recruitment and abundance of fish species and all higher marine tropic levels
期刊最新文献
Issue Information Evaluating the importance of vertical environmental variables for albacore fishing grounds in tropical Atlantic Ocean using machine learning and Shapley additive explanations (SHAP) approach Climate driven response of the Iceland‐East Greenland‐Jan Mayen capelin distribution Otolith elemental composition indicates differences in the habitat use for larvae and early juveniles of Japanese jack mackerel (Trachurus japonicus) in the waters around Japan Feeding habits of splendid alfonsino Beryx splendens in the vicinity of Kuroshio, the south of Japan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1