Fisheries Oceanography最新文献

{"title":"Temperature and Abundance Effects on Spatial Structures of Northern Shrimp (Pandalus borealis) at Different Life Stages in the Oceanographically Variable Gulf of Maine","authors":"Hsiao-Yun Chang,&nbsp;R. Anne Richards,&nbsp;David W. Townsend,&nbsp;Yong Chen","doi":"10.1111/fog.12714","DOIUrl":"https://doi.org/10.1111/fog.12714","url":null,"abstract":"<div>\u0000 \u0000 <p>The Gulf of Maine (GOM) northern shrimp, <i>Pandalus borealis</i>, once supported a significant winter fishery, but a moratorium has been placed on the fishery since 2014 because of a population collapse and recruitment failures that have been attributed to unfavorably warm water temperatures. The GOM is at the southernmost end of the northern shrimp's range, suggesting its population dynamics and distribution may be vulnerable to warming water temperatures. In this study, we used survey data to estimate spatial indicators for GOM northern shrimp at four life history stages to identify possible temporal trends and examine relationships between the indicators and northern shrimp abundance and bottom temperature. We observed patchier distributions over time, which were related to declining population abundance, and a distributional shift northward that was associated with warming bottom water temperatures. Northern shrimp habitat distribution was strongly associated with bottom temperature. Shrimp of all life stages were found in bottom waters cooler than the station's average bottom temperature.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling Ecosystem Shifts in the Southern Benguela Through Otolith Biochronologies of Sardine (Sardinops sagax)","authors":"Faye R. V. Brinkman,&nbsp;Szymon Smolinski,&nbsp;Mohammad Hadi Bordbar,&nbsp;Hans M. Verheye,&nbsp;Carl D. van der Lingen,&nbsp;Margit R. Wilhelm","doi":"10.1111/fog.12710","DOIUrl":"https://doi.org/10.1111/fog.12710","url":null,"abstract":"<p>Sardine (<i>Sardinops sagax</i>) in the southern Benguela has shown substantial changes in population size over the past 70 years. Heavy fishing pressure in the 1950s to early 1970s caused the collapse of sardine stocks in South Africa. A fishery collapse happens because of significant alterations in the marine community, hindering the recovery of valuable commercial species and leading to cascading effects across multiple trophic levels in marine food webs. In this study, a robust 58-year biochronology (1962–2019) was developed using archived sardine otoliths from the West of Cape Agulhas in South Africa. Sequential <i>t</i>-test analysis of regime shifts (STARS) performed on the biochronology of fish growth indicated four regimes with three alteration points in 1986, 2006 and 2015 that correspond with periods of low, high, average and low biomass, respectively; that is, high growth rates occurred during the high biomass period and vice versa. A series of mixed effects models was developed to determine increment width response to selected environmental, prey availability and sardine biomass factors based on the assumption that otolith increment growth is a proxy for somatic growth. Predicted sardine growth positively correlated with sardine biomass, sea surface temperature and copepod abundance estimates. This observation suggests that sardine population dynamics exhibit a depensation mechanism, potentially destabilizing populations after the fishery collapse. Sea surface temperature and copepod abundance have been primary factors influencing sardine growth, partly because of depensatory population dynamics. Furthermore, the study improves understanding of how different factors have affected sardine growth following the collapse of the sardine fishery.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/fog.12710","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid Zooplankton Assessment: Evaluating a Tool for Ecosystem-Based Fisheries Management in the Large Marine Ecosystems of Alaska","authors":"David G. Kimmel,&nbsp;Deana C. Crouser,&nbsp;Colleen E. Harpold,&nbsp;Jesse F. Lamb,&nbsp;Adam H. Spear","doi":"10.1111/fog.12707","DOIUrl":"https://doi.org/10.1111/fog.12707","url":null,"abstract":"<p>Ecosystem-based fisheries management (EBFM) remains an aspirational goal for management throughout the world. One of the primary limitations of EBFM is the incorporation of basic lower trophic level information, particularly for zooplankton, despite the importance of zooplankton to fish. The generation of zooplankton abundance estimates requires significant time and expertise to generate. The rapid zooplankton assessment (RZA) is introduced as a tool whereby nontaxonomic experts may produce rapid zooplankton counts shipboard that can be applied to management in near real time. Zooplankton are rapidly counted shipboard and placed into three broad groups of zooplankton relevant to higher trophic levels: large copepods (&gt; 2 mm), small copepods (&lt; 2 mm), and euphausiids. A Bayesian, hierarchical linear regression modeling approach was used to validate the relationship between RZA abundances and laboratory-processed abundances to ensure the rapid method is a reliable indicator. Additional factors likely to impact the accuracy of the RZA abundance predictions were added to the initial regression model: RZA sorter, survey, season, and large marine ecosystem (Bering Sea, Chukchi/Beaufort Sea, and Gulf of Alaska). We tested models that included the random effect of sorter nested within survey, which improved fits for both large copepods (Bayes <i>R</i>² = 0.80) and euphausiids (Bayes <i>R</i>² = 0.84). These factors also improved the fit for small copepods when the fixed effect of season was also included (Bayes <i>R</i>² = 0.65). Additional RZA data were used to predict laboratory-processed abundances for each zooplankton category and the results were consistent with model training data: large copepods (Bayes <i>R</i>² = 0.80), small copepods (Bayes <i>R</i>² = 0.64), and euphausiids (Bayes <i>R</i>² = 0.88). The Bayesian models were therefore able to predict laboratory-processed abundances with an associated error when accounting for these fixed and random effects. To demonstrate the utility of zooplankton data in management, zooplankton time series from the Bering Sea shelf were shown to vary in relation to warm and cold conditions. This variability impacted commercially important fish, notably Walleye Pollock (<i>Gadus chalcogrammus</i>), and these time series were used by managers using a risk table approach. The RZA method provides a rapid zooplankton population estimation in near real time that can be applied to the management process quickly, thus helping to fill a gap in EBFM.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/fog.12707","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Distribution and Growth Variability of Juveniles of Two Myctophid Species (Myctophum asperum and Symbolophorus evermanni) in Relation to Environmental Factors in the Kuroshio Current System in Winter","authors":"Kazunari Higashiguchi,&nbsp;Mikio Watai,&nbsp;Junji Kinoshita,&nbsp;Chiyuki Sassa,&nbsp;Hiroshi Kuroda,&nbsp;Takeshi Okunishi,&nbsp;Tohya Yasuda,&nbsp;Akinori Takasuka","doi":"10.1111/fog.12706","DOIUrl":"https://doi.org/10.1111/fog.12706","url":null,"abstract":"<div>\u0000 \u0000 <p>The distribution and growth rate of juveniles of two myctophid species (<i>Myctophum asperum</i> and <i>Symbolophorus evermanni</i>) were examined in relation to environmental factors, based on samples collected in the Kuroshio Current system during winter from 2020 to 2022. The growth rate of juveniles was compared among three oceanic regions: the inshore side of the Kuroshio axis, the Kuroshio axis, and the offshore side of the Kuroshio axis in relation to sea surface temperature (SST), sea surface salinity (SSS), chlorophyll-<i>a</i> concentration (CHL), and biomass of zooplankton (ZPB). <i>M. asperum</i> juveniles were distributed mainly in the inshore region and the Kuroshio axis of higher CHL and ZPB, whereas <i>S. evermanni</i> juveniles were distributed mainly in the Kuroshio axis and in the offshore regions of higher SST and SSS. No significant difference in growth rate was found among the three regions for <i>M. asperum</i> juveniles, whereas the growth rate of <i>S. evermanni</i> juveniles in the Kuroshio axis was higher than in the offshore regions. No environmental factors were selected for growth rate of <i>M. asperum</i> in the GLMM, whereas SST was selected for <i>S. evermanni</i>. <i>M. asperum</i> juveniles can be considered to have a higher tolerance for variability in environmental factors, whereas water temperature could be the driver for the distribution and growth rate of <i>S. evermanni</i>. Lastly, we discuss possible interspecific interactions among noncommercial fish (myctophids) and commercial fish (Pacific saury <i>Cololabis saira</i>).</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling the Influence of ENSO and SAM Patterns on Skate Growth: The Case of the Shorttail Yellownose Skate in Patagonia, Argentina","authors":"Federico M. Heredia,&nbsp;Ayelen Tschopp,&nbsp;Enrique A. Crespo,&nbsp;Nestor García,&nbsp;M. Florencia Grandi","doi":"10.1111/fog.12705","DOIUrl":"https://doi.org/10.1111/fog.12705","url":null,"abstract":"<div>\u0000 \u0000 <p>In recent decades, the growth, physiology and distribution of many elasmobranch species have been altered as a result of environmental changes that affect prey abundance, availability and composition. Consequently, variations in nutrient input during climate events could manifest in the growth of their hard tissues. This study focuses on assessing the impact of the El Niño-Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) on the growth of Shorttail Yellownose skate (<i>Zearaja brevicaudata)</i> in Patagonia, Argentina. To achieve this, vertebrae from 115 <i>Z. brevicaudata</i> specimens were analysed, and growth rings were dated and measured. By using cubic splines with varying flexibility, we constructed three standard chronologies. Generalized additive models (GAMs), the chronology with the best the R-bar (\u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mover>\u0000 <mi>r</mi>\u0000 <mo>¯</mo>\u0000 </mover>\u0000 </mrow>\u0000 <annotation>$$ overline{r} $$</annotation>\u0000 </semantics></math>) and expressed population signal (EPS) were employed and values obtained from them linked to annual time series data of the Multivariate ENSO Index (MEI) and SAM, considering lags in the biological response. Surprisingly, no significant association was found with the MEI time series. However, a noteworthy positive association emerged between the chronology and the SAM time series lagged by 1 year, suggesting that SAM-related climatic conditions could delay their transfer into the Patagonian marine ecosystem, subsequently impacting the growth of this ectothermic predator.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction on Yellowfin Tuna (Thunnus albacares) Fishing Ground in Waters Near the Marshall Islands Based on SMOTETomek-RF","authors":"Meng Zhang,&nbsp;Liming Song,&nbsp;Chen Pan,&nbsp;Linhui Wang","doi":"10.1111/fog.12704","DOIUrl":"https://doi.org/10.1111/fog.12704","url":null,"abstract":"<div>\u0000 \u0000 <p>This study monitored 37 longliners fishing in waters near the Marshall Islands from 2020 to 2022 by Liancheng Overseas Fishery (Shenzhen) Co., Ltd.'s operation management system. This study developed nine predictive models on the relationship between catch per unit effort (CPUE) data for yellowfin tuna (<i>Thunnus albacares</i>) and the environmental data. The environmental data integrate 48 variables, including eddy kinetic energy, chlorophyll <i>a</i> concentration, sea surface height, and additional measures of vertical oceanic conditions, alongside spatiotemporal parameters (year, month, day, longitude, and latitude). This study employed four spatial resolutions (0.25° × 0.25°, 0.5° × 0.5°, 1° × 1°, and 2° × 2°) to develop nine predictive models: KNN, RF, GBDT, CART, LightGBM, XGBoost, CatBoost, AdaBoost, and Stacking (RF, KNN, GBDT, and LR). These models, with a daily time resolution, were trained using 75% of the data and tested with the remaining 25%. The optimal spatial resolution and model were determined through a comprehensive comparison of model evaluation metrics across these spatial resolutions. The SMOTETomek algorithm was then applied to resample 75% of the data at the optimal spatial resolution, forming a new training dataset. This dataset was used to refine the model, subsequently tested with the remaining 25% of the data. Results indicated that (1) the optimal spatial resolution is 0.25° × 0.25° and the optimal model is RF; (2) the SMOTETomek algorithm enhances the model's predictive performance; and (3) the developed SMK-RF model, exhibiting Acc and AUC values of 76.73% and 82.47%, respectively, accurately predicts the central fishing grounds for yellowfin tuna, consisting closely with actual fishing activity.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the importance of vertical environmental variables for albacore fishing grounds in tropical Atlantic Ocean using machine learning and Shapley additive explanations (SHAP) approach","authors":"Tianjiao Zhang,&nbsp;Hu Guo,&nbsp;Liming Song,&nbsp;Hongchun Yuan,&nbsp;Hengshou Sui,&nbsp;Bin Li","doi":"10.1111/fog.12701","DOIUrl":"10.1111/fog.12701","url":null,"abstract":"<p>This study aims to find reliable vertical environmental variables for modeling the fishing grounds of albacore (<i>Thunnus alalunga</i>) in the tropical waters of the Atlantic Ocean. Logbook data of 13 Chinese longliners operating in the high seas of the Atlantic Ocean from 2016 to 2019 were collected and matched with vertical environmental variables including dissolved oxygen, temperature, and salinity from 0 to 500 m at 50-m depth intervals. Then four machine learning (ML) models: decision tree (DT), random forest (RF), light gradient boosting (LGB) and categorical boosting (CGB) were constructed and compared with generalized additive models (GAMs) within spatial resolutions of .5° × .5°, 1° × 1°, and 2° × 2° grids to find the significant features. The importance of each variable was ranked and compared based on Shapley additive explanations (SHAP) approach across five ML models at three resolutions. Results showed that (1) the vertical environmental variables—temperature at the depth of 100 m and dissolved oxygen concentration at the depth of 100 and 150 m—were the significant features that contributed most to all the ML models at three spatial resolutions; (2) the models with a spatial resolution of 2° × 2° grid exhibited higher accuracy compared to the models with .5° × .5° and 1° × 1° grids; (3) the RF model had the best prediction performance among all the models tested. Our results suggested that significant vertical environmental variables showed similar importance across different ML models at different resolutions, and these specific variables can be relied upon for accurately predicting the fishing grounds of albacore in the tropical waters of the Atlantic Ocean.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate driven response of the Iceland-East Greenland-Jan Mayen capelin distribution","authors":"Warsha Singh,&nbsp;Kristinn Guðnason,&nbsp;Marcel Montanyès,&nbsp;Martin Lindegren","doi":"10.1111/fog.12702","DOIUrl":"10.1111/fog.12702","url":null,"abstract":"<p>Climate change is altering the distribution of marine organisms worldwide. This may, in turn, affect the overall structure and functioning of ecosystems, sometimes leading to low productive regimes. Pronounced shifts in distribution and migration have been observed for capelin (<i>Mallotus villosus</i>), one of the ecologically and commercially important species in the Arctic. This study attempts to discern whether a relationship existed between the altered capelin dynamics and the changing physical environmental conditions in the Iceland-East Greenland-Jan Mayen region. More specifically, three species distribution models were used to predict hindcasts (pre-shift years 1993–2002) and nowcasts (post-shift years 2003–2019) of capelin distribution based on relationships with temperature, salinity, current speed, net primary productivity, and bathymetry. The predicted probability of occurrence over these two time periods demonstrates that the changing environmental conditions have contributed to the modified distribution of the stock during its late feeding season in autumn and during the onset of spawning season in winter. The multi-model approach used in this study has provided a solid statistical framework to describe the environmental niche of capelin and its potential responses to changing ocean climate.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/fog.12702","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feeding habits of splendid alfonsino Beryx splendens in the vicinity of Kuroshio, the south of Japan","authors":"Taketoshi Kodama,&nbsp;Koichi Ishii,&nbsp;Sachiko Horii,&nbsp;Natsuki Gonda,&nbsp;Junji Yonezawa,&nbsp;Kazuto Ando,&nbsp;Kazutaka Takahashi","doi":"10.1111/fog.12703","DOIUrl":"10.1111/fog.12703","url":null,"abstract":"<p>Gut contents and nitrogen isotope ratio (<i>δ</i>¹⁵N) analyses were conducted on splendid alfonsino <i>Beryx splendens</i> collected in the vicinity of Kuroshio from May 2015 to November 2016 (<i>n</i> = 708) to identify their feeding habits in the Western North Pacific. Micronektonic fish, shrimp, and squid were the dominant prey species, with the Decapoda <i>Acanthephyra quadrispinosa</i>, <i>Prehensilosergia prehensilis</i>, Cephalopoda <i>Enoploteuthis chunii</i>, <i>Chiroteuthis calyx</i>, Teleostei <i>Sigmops gracilis</i>, and <i>Gonostoma elongatum</i>. These micronektons are common in the Kuroshio Current; thus, <i>B. splendens</i> is a possible opportunistic feeder. Gut content weight (GCW), occurrence (%O) of fish and squid, and <i>δ</i>¹⁵N were significantly increased with the fork length (FL) of <i>B. splendens</i>. Only the %O of shrimp does not show a significant relationship with the FL of <i>B. splendens</i>. These indicated the ontogenetic shift of dominant prey from shrimp to fish. Fattened specimens could also prey on a greater number of fish. The seasonality of GCW and %O values was high in spring and autumn and low in summer and winter. This seasonality indicated that the feeding habits of <i>B. splendens</i> are controlled by primary productivity in the surface layer and/or by maturity. When the Kuroshio flowed in the north of Hachijojima Island, the GCW was significantly increased, and some organisms, including <i>C. calyx</i>, <i>G. elongatum</i>, and <i>S. gracilis</i>, were preyed on more. While the offshore area of the Kuroshio has low productivity, <i>B. splendens</i> can actively prey in this area, indicating that it is an important feeding ground for this species.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/fog.12703","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"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","authors":"Yuki Fujinami,&nbsp;Motomitsu Takahashi,&nbsp;Chiyuki Sassa,&nbsp;Yuko Hiraoka,&nbsp;Hiroyuki Kurota,&nbsp;Seiji Ohshimo","doi":"10.1111/fog.12699","DOIUrl":"10.1111/fog.12699","url":null,"abstract":"<p>Trace element analysis of otoliths from core to edge was used to reveal differences in habitats of larvae and early juveniles of Japanese jack mackerel (<i>Trachurus japonicus</i>) caught in the East China Sea (ECS), Pacific Ocean, and Sea of Japan. Multi-element signatures (Sr:Ca, Mg:Ca, Na:Ca, K:Ca, and Ba:Ca) were analyzed with multivariate statistics to determine whether these element signatures provide insight into regional population structure. The median values of elements: Ca ratios in otolith core region differed significantly among areas, with most elements between the ECS and the Pacific Ocean or Sea of Japan showing significant differences. The Sr:Ca ratios exhibited a V-shaped trend from the otolith core to the edge, which was likely related to the vertical habitat layer shift of larvae and early juveniles of <i>T. japonicus</i>. Canonical analysis of principal coordinates using the element: Ca ratios and the hatching day were re-classified according to the sampling area with higher accuracy in the ECS (88–95%) and the Sea of Japan (76–83%) compared to the Pacific Ocean (69–72%). These results indicate that the proportion of eggs, larvae, and early juveniles transported by the Kuroshio Current from the southern ECS—the main spawning ground—to the Pacific Ocean or the Sea of Japan is low and that juveniles distributed in the coastal waters off southwestern Japan may have originated from local spawners. These results suggest that determining the elemental composition of larvae and juveniles of <i>T. japonicus</i> is effective in determining the habitat differences of this species in the three regions. These findings will help to understand population structure and recruitment process of this species around Japan.</p>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}