Fisheries Oceanography最新文献

{"title":"Multiscale Spatial and Temporal Patterns of Distribution of Marine Fish Larvae—Patchiness and Predator–Prey Overlap","authors":"Peter Munk,&nbsp;Martin Lindegren","doi":"10.1111/fog.12715","DOIUrl":"https://doi.org/10.1111/fog.12715","url":null,"abstract":"<div>\u0000 \u0000 <p>The distribution of fish larvae and other planktonic organisms is highly heterogenous and influenced by a complex interplay of physical, behavioural and ecological processes operating across different scales. Information on patterns and scale of resulting patchiness in plankton distributions is pivotal for understanding the bio-physical linkages, trophodynamics and ecological strategies in the marine pelagic environment. In this study, we examine the distribution and degree of patchiness of four fish larvae species and their copepod prey, placing specific emphasis on the scale of patterns in both horizontal and vertical dimensions. Our sampling effort encompassed a 120 km long transect of stations covering a frontal area in the southern North Sea, employing depth-stratified net sampling at varying station distances. Our results show distinct distributional patterns and migratory behaviours among different taxa of both larvae and their copepod prey, yet some commonalities were apparent. Across all species, we observed increased patchiness at larger spatial scales, significantly influenced by day/night fluctuations and hydrography. The overall findings highlight the dynamic nature of patch distributions and underscore the strong impact of hydrographic interfaces, whether vertically oriented pycnoclines or horizontally structured hydrographic fronts. These insights into bio-physical linkages deepen our understanding of the mechanisms driving larval survival, prey availability and overall ecosystem dynamics.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119573","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":"Ecological Niche Interaction Between Co-Existing Antarctic Krill (Euphausia superba) and the Pelagic Tunicate (Salpa thompsoni) in the Northern Antarctic Peninsula","authors":"Zhuang Chen,&nbsp;Guoping Zhu","doi":"10.1111/fog.12716","DOIUrl":"https://doi.org/10.1111/fog.12716","url":null,"abstract":"<div>\u0000 \u0000 <p>Antarctic krill (<i>Euphausia superba</i>; krill) and the pelagic tunicate (<i>Salpa thompsoni</i>; salps) are crucial to the Southern Ocean ecosystem, and krill supports the largest fishery in the Southern Ocean in term of catch. Given recent climatic changes in the northern Antarctic Peninsula (NAP), the distribution of krill and salps are shifting poleward. Unlike krill, salps thrive in warmer water temperatures and can form large blooms under favorable conditions, potentially outcompeting krill for resources. However, krill are ecologically more important, serving as a primary food source for higher trophic levels. The interspecific interactions, including hotspots and ecological niches, of krill and salps in the NAP were therefore investigated using historical datasets and species distribution models. We found that both spatial separation and overlap occurred between krill and salps hotspots, with the primary overlap occurring around Elephant Island. Furthermore, there was a significant overlap in their ecological niches, suggesting that they may have similar ecological requirements. This study emphasized the importance of krill and salps interactions in the Southern Ocean ecosystem. The krill habitat and therefore food web of the Southern Ocean could be influenced significantly if salps continue to shift poleward in the future. The information provided in this study aids in the conservation and management of the Southern Ocean ecosystem.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118435","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":"Abundance Variability of Predators: Asynchronous Fluctuation of Tuna Species in the Atlantic Ocean due to Predation Strategies and Climatic Effects","authors":"Ting-Yu Liang,&nbsp;Kuo-Wei Lan,&nbsp;Muhamad Naimullah,&nbsp;Yen-Rong Liang,&nbsp;Yan-Lun Wu","doi":"10.1111/fog.12713","DOIUrl":"https://doi.org/10.1111/fog.12713","url":null,"abstract":"<div>\u0000 \u0000 <p>Bigeye tuna (<i>Thunnus obesus</i>; BET) and yellowfin tuna (<i>Thunnus albacares</i>; YFT) are commercially and ecologically important Atlantic Ocean species. Numerous studies have examined interacting species with clearly synchronous or asynchronous dynamics, but few have investigated interactions among tuna species. This study investigated the effects of climate indices on the standardized catch per unit effort (CPUE) and habitat preferences of BET and YFT in the Atlantic Ocean. The indicators for both tuna species were found to be influenced by the Atlantic Multidecadal Oscillation (AMO) and Tropical North Atlantic index. The AMO had the strongest effect on standardized CPUE for the two species, and habitat suitability also reflected AMO trends. We compared CPUE trends in overlapping suitable habitat areas and estimated variations in primary prey abundance for between BET and YFT to evaluate their species' competition for limited prey and habitat area resources. The standardized CPUE, habitat suitability index (HSI), and primary prey levels (squid and crustaceans) of BET all increased following the change to the positive AMO phase after the 1990s. Although the HSI value for YFT also increased in an area of habitat overlap, the corresponding standardized CPUE decreased. We suggest that this pattern of a decreasing-standardized CPUE for YFT may have been caused by competition for limited prey and habitat area resources in the overlap area.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115053","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":"Beyond the Boundaries: Poleward Range Expansion of the Atlantic Chub Mackerel Scomber colias in SW Atlantic Ocean","authors":"Manuela Parietti,&nbsp;Micaela Giorgini,&nbsp;Paula Orlando,&nbsp;Carla Derisio,&nbsp;Brenda Temperoni,&nbsp;Luciano Nahuel Padovani,&nbsp;Marina Marrari,&nbsp;Claudio César Buratti","doi":"10.1111/fog.12711","DOIUrl":"https://doi.org/10.1111/fog.12711","url":null,"abstract":"<div>\u0000 \u0000 <p>Shifts in species distribution have far-reaching implications across ecological, economic, and social dimensions. Pelagic fish, integral to global fisheries, have displayed notable euryhaline and eurythermal characteristics. However, a poleward range expansion trend has emerged in the northern hemisphere for certain <i>Scomber</i> species since the 2010s, attributed to sea surface temperature and food resource dynamics. <i>Scomber colias</i>, a principal pelagic fishery resource in Argentina, stands as an underexploited species with recent landings totaling approximately 14,800 tons. In the North Patagonian shelf waters, where <i>S. colias</i> resides at its southern distribution, there has been documented ocean warming. In this context, this study evaluates potential changes in the distribution and abundance of <i>S. colias</i> from 1991 to 2022 in the Southwestern Atlantic Ocean (SAO). Drawing on two distinct data sources, the analysis reveals a poleward range expansion, extending to 48°5′S, exceeding historical limits by 278 km. This expansion is positively correlated with rising sea surface temperatures, with the most significant displacement observed during summer, when this species has a high feeding activity in the study area. The investigation further explores the relationship between <i>S. colias</i> presence and the abundance of its primary prey species between 2011 and 2022. This is highly possible, yet no significant results were uncovered. This study marks the first documented southward range expansion of <i>S. colias</i> in the SAO, providing essential quantitative insights for biological studies, fisheries management, and the canning manufacturing industry. The latter could benefit from year-round access to fish, potentially generating employment opportunities and fostering economic growth within the local community.</p>\u0000 </div>","PeriodicalId":51054,"journal":{"name":"Fisheries Oceanography","volume":"34 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114843","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":"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}