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Winter Diets of Pacific Salmon in the North Pacific 北太平洋太平洋鲑鱼的冬季饮食
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-26 DOI: 10.1111/fog.70002
Jackie King, Emily Fergusson, Aleskey Somov, Todd Miller, Evgeny A. Pakhomov, Matthew R. Baker, Kelsey Flynn

The winter feeding ecology of Pacific salmon and Steelhead trout in the North Pacific Ocean was investigated, with a focus on species-specific diets and interannual and spatial variability in diet composition. We used results from the 2022 International Year of the Salmon Pan-Pacific Expedition to examine diet composition across the North Pacific and compared our findings with earlier surveys conducted in 2009–2011 and 2019–2020. Stomach contents were dominated by prey items typically associated with that species' diet: primarily cnidarians for Chum salmon, cephalopods and fish for Coho and Chinook salmon, and euphausiids for Pink and Sockeye salmon. The diet of Steelhead trout, encountered in one region in 2022, was composed of cephalopods, fish, and euphausiids. Some significant interannual and regional variability was observed, particularly in the eastern North Pacific, where prey resources have been noted to be more limited. This suggests that prey partitioning and adaptability may influence interspecific competition. Chum and Sockeye salmon exhibited interannual variability in most regions where multiple years of surveys were conducted. Pink salmon had the most spatial variability in winter diet with differences detected in all regions. We found minimal evidence of diet shifts based on size, with some exceptions in Chum and Sockeye salmon. Overall, these findings contribute to a deeper understanding of the trophic dynamics and feeding strategies of Pacific salmon during the winter months in the open ocean, highlighting the potential for competition and the importance of fine-scale spatial analyses for future research on salmon ecology and conservation.

对北太平洋太平洋鲑鱼和钢头鳟鱼的冬季摄食生态进行了研究,重点研究了鱼种特有的饵料以及饵料组成的年际和空间变异性。我们使用了2022年国际鲑鱼泛太平洋探险年的结果来研究整个北太平洋的饮食组成,并将我们的发现与2009-2011年和2019-2020年进行的早期调查进行了比较。胃里的内容物主要是与该物种的饮食有关的猎物:主要是刺胞动物(Chum salmon),头足类动物(Coho salmon)和奇努克鲑鱼(Chinook salmon)的鱼,粉鲑鱼(Pink salmon)和红鲑鱼(Sockeye salmon)的鱼。2022年在一个地区发现的钢头鳟鱼的饮食由头足类、鱼类和假腹类组成。观察到一些显著的年际和区域变化,特别是在北太平洋东部,那里的猎物资源被注意到更为有限。这表明猎物的分配和适应性可能影响种间竞争。在进行多年调查的大多数地区,鲑鱼和红鲑鱼表现出年际变化。粉鲑冬季饮食的空间变异性最大,各地区均存在差异。我们发现很少有证据表明饮食会因体型而变化,但在鲑鱼和红鲑鱼中有一些例外。总的来说,这些发现有助于更深入地了解太平洋鲑鱼在开放海洋冬季的营养动态和摄食策略,突出了竞争的潜力和精细尺度空间分析对未来鲑鱼生态和保护研究的重要性。
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引用次数: 0
Oceanographic Condition of the Habitat and Distribution of Atlantic Chub Mackerel Scomber colias (Actinopteri: Scombridae) in Southwestern Atlantic 西南大西洋鲭鱼(放线纲:鲭鱼科)生境和分布的海洋学条件
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-18 DOI: 10.1111/fog.70001
Joana Leal da Silva, José Ricardo Munari Faccin, Paulo Ricardo Schwingel

The Atlantic chub mackerel, Scomber colias Gmelin, 1789, is a pelagic species, found in schools throughout the Atlantic Ocean. The objective of the present study is to identify the relationship between oceanographic conditions and catches of the Atlantic chub mackerel fishing resource in the Southwest Atlantic Ocean (21°S–29°S). The generalized additive model (GAM) was used to determine the influence of oceanographic variables on the catch per unit effort (CPUE) of S. colias. Fishing for Atlantic chub mackerel by the purse seine fleet in the Southwest Atlantic is irregular and is related to resource availability. From 2007 onward, the fleet expanded its operating area, which may have increased the CPUE between 2008 and 2012. GAM model results showed that sea surface temperature (SST) had a nonlinear effect on CPUE, peaking between 24°C and 26°C. Chlorophyll-a also influenced CPUE; however, its effect was weaker, with higher CPUE values linked to lower chlorophyll-a concentrations. The Oceanic Niño Index (ONI) exhibited a nonlinear effect, with both El Niño and La Niña periods associated with lower CPUE than during neutral conditions.

大西洋鲐鱼(Scomber colias Gmelin, 1789)是一种远洋鱼类,在大西洋的鱼群中随处可见。本研究的目的是确定西南大西洋(21°S - 29°S)的海洋条件与大西洋鲐鱼捕捞资源之间的关系。采用广义加性模型(GAM)研究了海洋变量对大鲵单位努力渔获量(CPUE)的影响。西南大西洋围网船队捕捞大西洋鲐鱼是不规律的,与资源的可用性有关。从2007年开始,船队扩大了其运营区域,这可能在2008年至2012年期间增加了CPUE。GAM模式结果表明,海表温度对CPUE有非线性影响,在24 ~ 26℃之间达到峰值。叶绿素a对CPUE也有影响;然而,其作用较弱,较高的CPUE值与较低的叶绿素-a浓度相关。海洋Niño指数(ONI)表现出非线性效应,El Niño和La Niña期与较低的CPUE相关。
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引用次数: 0
Insights Into the Relationship of Climate Events With the Distribution of Black Skipjack (Euthynnus lineatus) Catches in the Eastern Pacific 气候事件与东太平洋黑鲣渔获分布关系的研究
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-13 DOI: 10.1111/fog.70000
Carlos Javier Godínez-Padilla

The geographic distributions of marine species have been constantly changing, and current evidence suggests that climate variability may have a significant influence. In addition, vital features in search of the best habitat are prone to being caught incidentally and objectively by various fisheries. A historical database (2005–2021) of the tuna purse-seine fishery in the Eastern Pacific Ocean (EPO) was used in this study. This study aims to describe the environmental preferences and spatiotemporal distribution of bycatch black skipjack in the EPO using generalized additive models (GAMs). The results show that black skipjacks (BKJ) are caught as bycatch in all three types of sets made by the purse seine fleet in oceanic and coastal waters. The BKJ was affected by climate events such as El Niño and La Niña, which influenced its catchability and the expansion of its distribution up to 150° W through its presence on floating objects and environmental adaptability. Habitat preferences were shown towards warm waters (26°C–30°C) and areas of low atmospheric pressure (1005–1014 hPa) associated with the different physical oceanographic processes in the spring–summer months. This information contributes to the study of the behavior, movement, and habitat use of the species for fisheries management in both coastal and oceanic waters.

海洋物种的地理分布一直在不断变化,目前的证据表明,气候变率可能产生重大影响。此外,寻找最佳栖息地的重要特征很容易被各种渔业偶然和客观地捕获。本研究使用了东太平洋(EPO)金枪鱼围网渔业的历史数据库(2005-2021)。利用广义加性模型(GAMs)研究了副渔获物黑鲣在EPO的环境偏好和时空分布。结果表明,在海洋和沿海海域,围网船队所制作的三种渔具中,黑鲣都是副渔获物。BKJ受El Niño和La Niña等气候事件的影响,通过其在漂浮物上的存在和环境适应性影响了其捕集能力和150°W范围内分布的扩大。在春夏季节,与不同的海洋物理过程相关的温暖水域(26°C - 30°C)和低压地区(1005-1014 hPa)显示出栖息地偏好。这些信息有助于研究该物种的行为、运动和栖息地利用,以供沿海和海洋水域的渔业管理。
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引用次数: 0
Spatial Structure and Decadal Spatiotemporal Distribution of the Anchoveta (Engraulis ringens) in the Marine Ecosystem of the Peruvian Current Between 1985 and 2024 1985 - 2024年秘鲁海流海洋生态系统中鳀鱼的空间结构和年代际时空分布
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-12 DOI: 10.1111/fog.12741
Pedro Ramiro Castillo, Han Xu, Gustavo Cuadros, Daniel Grados, Carlos Valdez, Rodolfo Cornejo, Marissela Pozada-Herrera

This paper presents the spatial structure with geostatistical analysis and decadal spatiotemporal distribution of anchoveta according to the Pacific Decadal Oscillation index, its implications for the anomalous events of the oceanographic conditions of the Northern Region of the Humboldt Current System (NRHCS), and areas of high anchoveta abundance found in the analyzed period. The acoustic data came from the Hydroacoustic Pelagic Resources Assessment Surveys carried on by the Instituto del Mar del Peru (IMARPE), and the oceanographic data came from satellite images of sea surface thermal anomalies (SSTA) between 1985 and 2024. The results showed that anchoveta has had a positive linear trend, with a high positive spatial autocorrelation and a structure spatially dependent on invironmental conditions in space and time. In the cold decadal periods, anchoveta were found a little far from the coast, distributed in high concentrations mainly in the north-central region, while in the warm decadal periods, they were found close to the coast and with greater abundance towards the central zone; exceptional was in the warm period of 1985–1988, where anchoveta distribution was wide and generally dispersed. The trend in the warm decadal periods was negative, and in the decadal periods, it was positively influenced by El Niño events: 1997–1998 and 2015–2016, with a decrease in biomass recorded in 1998 and 2015. In the last cold period, 2017–2024, it was influenced by the warm year of 2023. Between 2000 and 2024, anchoveta biomass averaged 8.26 million tons, with an average biomass of 7.46 million tons for the north-central region between 2004 and 2024.

本文介绍了太平洋年代际振荡指数(Pacific decadal Oscillation index)对鳀鱼的空间结构和年代际时空分布的统计分析,及其对洪堡流(NRHCS)北段海洋条件异常事件的影响,以及分析期间鳀鱼高丰度区域的影响。声学数据来自秘鲁海洋研究所(IMARPE)开展的水声远洋资源评估调查,海洋学数据来自1985 - 2024年间的海表热异常(SSTA)卫星图像。结果表明:凤尾鱼在空间和时间上具有高度的空间自相关和依赖于环境条件的空间结构,呈线性正相关趋势;在冷年代际,凤尾鱼分布在离海岸稍远的地方,主要集中在中北部地区;在暖年代际,凤尾鱼分布在靠近海岸的地方,并向中部地区丰富;例外的是在1985-1988年的温暖期,凤尾鱼分布广泛且普遍分散。暖年代际变化趋势为负向变化,1997-1998年和2015 - 2016年受El Niño事件的正向影响,1998年和2015年生物量下降。在2017-2024年的最后一个寒冷期,受2023年暖年的影响。2000 - 2024年,鳀鱼的平均生物量为826万吨,2004 - 2024年中北部地区的平均生物量为746万吨。
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引用次数: 0
Short-Term Prediction of Hilsa (Tenualosa ilisha) Catch in the Northern Bay of Bengal Using Advanced Machine Learning Algorithms 利用先进的机器学习算法对孟加拉湾北部海鲢捕获量的短期预测
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-11 DOI: 10.1111/fog.12746
Sandip Giri, A. P. Joshi, Prasanna Kanti Ghoshal, Sudheer Joseph, Kunal Chakraborty, Alakes Samanta, T. M. Balakrishnan Nair, T. Srinivasa Kumar

Hilsa is a vital transboundary fishery resource in the Bay of Bengal (BoB), holding commercial, ecological, and cultural importance. This study aims to develop a short-term prediction of Hilsa catch in the northern BoB using a machine learning (ML) model. The prediction technique was developed considering the georeferenced Hilsa catch per unit effort (CPUE) as a function of environmental variables like surface salinity, sea surface temperature (SST), surface current speed, and direction. We employed two advanced ML algorithms, viz., random forest (RF) and 5. (XGBoost) to examine their efficacy in the short-term prediction of Hilsa for the northern BoB and compared the model performance with a baseline information obtained through multiple linear regression (MLR). Our analysis showed significant improvement in the prediction accuracy using advanced ML techniques where XGBoost again outperformed RF. The root mean square error (RMSE) values between observed and predicted CPUE for RF and XGBoost models were 5.72 and 5.63 kg/h, respectively. The correlation coefficient (r) between the observed and predicted catch were 0.90 and 0.93 for RF and XGBoost, respectively. SHapley Additive exPlanations (SHAP) analysis revealed the highest influence (58.38%) of surface current speed on the Hilsa CPUE. We generated the spatial prediction maps of Hilsa CPUE using the best performing (XGBoost) model with 85% prediction efficiency. This study showed the potential of the XGBoost model in developing a short-term prediction for Hilsa in the northern BoB, towards developing Hilsa fishery advisory for sustainable management of these fishery resources.

希尔萨是孟加拉湾重要的跨界渔业资源,具有重要的商业、生态和文化意义。本研究旨在使用机器学习(ML)模型开发北部鲍勃的Hilsa捕获的短期预测。预测技术的开发考虑了地理参考Hilsa单位努力捕获量(CPUE)作为环境变量(如表面盐度、海面温度(SST)、表面洋流速度和方向)的函数。我们采用了两种先进的机器学习算法,即随机森林(RF)和5。(XGBoost)来检验其对北部BoB的Hilsa短期预测的有效性,并将模型性能与通过多元线性回归(MLR)获得的基线信息进行比较。我们的分析显示,使用先进的ML技术,XGBoost再次优于RF,显著提高了预测精度。RF和XGBoost模型的CPUE观测值与预测值的均方根误差(RMSE)分别为5.72和5.63 kg/h。RF和XGBoost的观测和预测捕获量之间的相关系数(r)分别为0.90和0.93。SHapley加性解释(SHAP)分析显示,表面电流速度对Hilsa CPUE的影响最大(58.38%)。我们使用性能最好的(XGBoost)模型生成Hilsa CPUE的空间预测图,预测效率为85%。这项研究显示了XGBoost模型在开发Hilsa北部的短期预测方面的潜力,从而为这些渔业资源的可持续管理开发Hilsa渔业咨询。
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引用次数: 0
Adaptive Reproductive Strategies of Limpets in a Harvest-Influenced Environment 收获影响下帽贝的适应性繁殖策略
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-04 DOI: 10.1111/fog.12745
Joana Vasconcelos, Pablo Angulo, Olivia Martínez-Ruiz, Alberto Rodríguez Díaz, Víctor M. Tuset, Rodrigo Riera

Limpet harvesting is a size-selective activity that primarily removes the largest individuals, leading to reduced reproductive output. This study investigates the fecundity strategies of two limpet species, Patella aspera and Patella crenata, inhabiting the rocky shores of Gran Canaria. Between September 2023 and April 2024, a total of 288 P. aspera and 364 P. crenata specimens were sampled from four coastal settlements. Both species exhibited determinate fecundity with synchronous spawning, as evidenced by the progression of dominant oocyte cohorts and the corresponding changes in oocyte size and number throughout the spawning season. Orientation and substrate type significantly influenced fecundity, with the North coast showing a higher number of vitellogenic oocytes, particularly in artificial substrates for P. crenata. Natural substrates on the North coast were associated with larger vitellogenic oocytes. Additionally, sex proportions were significantly affected by substrate type, with natural substrates containing a higher proportion of females. In artificial substrates, P. crenata exhibited notably higher gonadosomatic index values. The analysis of the gonadosomatic index and oocyte dynamics highlights the adaptive strategies of these limpets to local environmental conditions, contributing to our understanding of reproductive ecology in intertidal habitats. This research not only enhances our understanding of reproductive dynamics in limpets under varying environmental conditions but also emphasizes the importance of habitat and seasonal factors in shaping fecundity strategies. Such studies are crucial for conservation efforts, as they provide essential insights into how environmental pressures and human activities, like harvesting, impact the reproductive success and sustainability of these commercial species.

捕捞帽贝是一种选择大小的活动,主要是去除最大的个体,导致繁殖产量降低。本研究研究了生活在大加那利岛岩石海岸的两种帽贝——粗髌骨和绿髌骨的繁殖策略。在2023年9月至2024年4月期间,在4个沿海聚落共采集了粗条P. 288份和绿皮P. 364份标本。在整个产卵季节,优势卵母细胞群的发展以及卵母细胞大小和数量的相应变化证明了这两个物种都具有同步产卵的确定繁殖力。取向和底物类型对繁殖力有显著影响,北海岸的卵黄细胞数量较多,尤其是在人造底物中。北海岸的天然底物与较大的卵黄细胞有关。此外,性别比例受基质类型的影响显著,天然基质中雌性比例较高。在人工基质中,绿皮草表现出较高的促性腺指数。性腺指数和卵母细胞动力学的分析突出了这些帽贝对当地环境条件的适应策略,有助于我们对潮间带栖息地生殖生态学的理解。本研究不仅提高了我们对不同环境条件下帽贝繁殖动态的认识,而且强调了生境和季节因素在形成繁殖策略中的重要性。这些研究对保护工作至关重要,因为它们为环境压力和人类活动(如收获)如何影响这些商业物种的繁殖成功和可持续性提供了重要的见解。
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引用次数: 0
Evaluating the Impact of Oceanographic Field Variability on Atlantic Mackerel Distribution Within Russian Fishing Grounds in the Northern Norwegian Sea 评估海洋场变率对挪威海北部俄罗斯渔场内大西洋鲭鱼分布的影响
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-06-04 DOI: 10.1111/fog.12744
M. A. Lebedeva, M. V. Budyansky, M. Yu. Uleysky, P. A. Fayman, A. A. Didov, T. V. Belonenko, D. N. Klochkov

Based on fishing records from 2015, 2016, and 2020, this study analyzes the dependence of Atlantic mackerel catch distribution by the Russian fleet on oceanographic conditions in the northern part of the Norwegian Sea (north of 68.5° N). Four types of parameters characterizing fronts and frontal zones are considered: the Lagrangian indicator S, describing water dynamics, along with temperature, salinity, and density in the upper ocean layers, which are traditionally used to identify thermohaline fronts. Gradients of these characteristics are calculated based on these parameters, and the distance from fishing locations to the nearest fronts is evaluated. A unified methodology is applied to automatically define frontal zones using a probability distribution function. To eliminate the dependence of statistical analysis results on limited sampling, a comparison with a random sample was conducted. Histogram analysis of actual catches shows that fishing zones are often located 10–15 km from fronts. It was found that the density of the upper ocean layers has the greatest influence on the distribution of Atlantic mackerel fishing aggregations, while temperature fronts also significantly impact the formation of fishing aggregations.

基于2015年、2016年和2020年的捕捞记录,本研究分析了俄罗斯船队在挪威海北部(68.5°N以北)的大西洋鲭鱼捕捞分布对海洋条件的依赖。考虑了表征锋面和锋面区的四种参数:描述水动力学的拉格朗日指标S,以及传统上用于识别热盐锋的上层海洋的温度、盐度和密度。根据这些参数计算这些特征的梯度,并评估从捕鱼地点到最近锋面的距离。采用统一的方法,利用概率分布函数自动定义额区。为了消除统计分析结果对有限抽样的依赖性,与随机抽样进行了比较。实际捕获量的直方图分析显示,捕鱼区通常位于距离锋面10-15公里处。研究发现,上层海洋密度对大西洋鲭鱼鱼群聚集分布的影响最大,而温度锋对鱼群聚集的形成也有显著影响。
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引用次数: 0
New Fishing Strategies to Face Climate Change Effects on the Spanish Tropical Tuna Fisheries Off Indian Ocean 面对气候变化对印度洋西班牙热带金枪鱼渔业影响的新捕鱼策略
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-05-31 DOI: 10.1111/fog.12743
José Carlos Báez, Ivone A. Czerwinski, María Lourdes Ramos, José María Bellido, Marta Coll

Tropical tunas, including yellowfin (Thunnus albacares), are recognized as a crucial contributor to global food security. Moreover, yellowfin tuna is the most commercially valuable tropical tuna. The Spanish purse seine freezer fleet, actively operating in the Indian Ocean, emerges as a leading contributor to the global yellowfin tuna catch. Currently, the planet is undergoing a climate change, which is poised to alter habitats on a global scale, particularly impacting tropical regions by causing an increase in sea surface temperatures at an unprecedented rate as well as ocean deoxygenation. Consequently, it is foreseeable that large pelagic highly migratory species like tunas may shift their distribution areas, resulting in the translocation of the current fishing grounds. In this context, the main goal of this work is to study the potential shifts of the Spanish purse seine fishing grounds targeting yellowfin tuna within the tropical belt in the Indian Ocean. Our findings suggest that although the largest yellowfin tuna catches have moved northward in latitude, most of the fishing effort, indicated by the greater number of fishing sets, has been located toward the equatorial region. Present results can only be interpreted from a human perspective and following a commercial strategy in response to the management of yellowfin tuna. Therefore, according to the 38 years of the analyzed dataset, a shift in fleet dynamics is apparent. However, we suggest that this new fishing strategy could be not so much attributed to the movement of free schools toward higher latitudes but to complex trade-off strategies.

包括黄鳍金枪鱼(Thunnus albacares)在内的热带金枪鱼被认为是全球粮食安全的重要贡献者。此外,黄鳍金枪鱼是最具商业价值的热带金枪鱼。活跃在印度洋的西班牙围网冷冻船队成为全球黄鳍金枪鱼捕获量的主要贡献者。目前,地球正在经历一场气候变化,这将改变全球范围内的栖息地,特别是通过导致海洋表面温度以前所未有的速度上升以及海洋脱氧来影响热带地区。因此,可以预见的是,金枪鱼等大型远洋高度洄游物种可能会改变它们的分布区域,导致现有渔场的迁移。在这种情况下,这项工作的主要目标是研究针对印度洋热带地区黄鳍金枪鱼的西班牙围网渔场的潜在变化。我们的研究结果表明,尽管最大的黄鳍金枪鱼捕鱼量在纬度上向北移动,但大部分的捕鱼努力(由更多的捕鱼装置表明)都位于赤道地区。目前的结果只能从人类的角度来解释,并遵循应对黄鳍金枪鱼管理的商业策略。因此,根据38年的分析数据集,船队动态的变化是明显的。然而,我们认为这种新的捕鱼策略可能不太归因于自由鱼群向高纬度地区的迁移,而是一种复杂的权衡策略。
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引用次数: 0
Climate Oscillations Driving Phytoplankton Dynamics and Marine Productivity in Todos Santos Bay: Insights From the Southern California Current System 气候振荡驱动Todos Santos湾浮游植物动力学和海洋生产力:来自南加州洋流系统的见解
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-05-28 DOI: 10.1111/fog.12740
Perla González-Dávalos, Eliana Gómez-Ocampo, Josué Villegas-Mendoza, Mary Carmen Ruiz-De la Torre

This study explores the impacts of climatic phenomena, including the El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), marine heatwaves (MHWs), and the North Pacific Gyre Oscillation (NPGO), on phytoplankton dynamics in Todos Santos Bay (TSB) from 2010 to 2022. Analysis of the anomalies of the sea surface temperature (SSTa), phytoplankton biomass (CHLa), upwelling indices (Bakun and BEUTI), and absolute dynamic topography (ADTa) revealed substantial effects on nutrient dynamics and primary productivity. The results indicate a significant reduction in phytoplankton biomass during El Niño due to increased ADT that weakened nutrient upwelling. In contrast, La Niña periods were associated with enhanced nutrient flow and phytoplankton biomass due to intensified coastal upwelling. The study also highlights the impact of the NPGO’s warm phase in reducing the influx of cold, nutrient-rich subarctic water, influencing the phytoplankton community structure towards smaller phytoplankton and dinoflagellates. Notably, a positive correlation was found between ADTa and the dominance of smaller phytoplankton and dinoflagellates, suggesting that higher sea levels and increased stratification favor these groups over larger phytoplankton like diatoms. This shift suggests potential long-term ecological implications, including effects on marine biodiversity and fisheries. The findings underscore the complex interplay between global climatic phenomena and marine ecosystem productivity, emphasizing the necessity of adaptive ecosystem management in the face of climatic variability.

本研究探讨了2010 - 2022年El Niño-Southern涛动(ENSO)、太平洋年代际涛动(PDO)、海洋热浪(MHWs)和北太平洋环流涛动(NPGO)等气候现象对Todos Santos Bay (TSB)浮游植物动力学的影响。海表温度(SSTa)、浮游植物生物量(CHLa)、上升流指数(Bakun和BEUTI)和绝对动力地形(ADTa)的异常分析揭示了营养物动态和初级生产力的显著影响。结果表明,在El Niño期间,由于ADT的增加削弱了营养物质上涌,浮游植物生物量显著减少。La Niña期与沿海上升流加剧导致的营养物流动和浮游植物生物量增加有关。该研究还强调了NPGO温暖阶段在减少富含营养的亚北极冷水流入方面的影响,影响了浮游植物群落结构向较小的浮游植物和鞭毛藻的转变。值得注意的是,ADTa与较小的浮游植物和鞭毛藻的优势之间存在正相关关系,这表明较高的海平面和增加的分层更有利于这些群体,而不是硅藻等较大的浮游植物。这种转变暗示了潜在的长期生态影响,包括对海洋生物多样性和渔业的影响。这些发现强调了全球气候现象与海洋生态系统生产力之间复杂的相互作用,强调了面对气候变率进行适应性生态系统管理的必要性。
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引用次数: 0
Insights Into the Feeding Ecology of Young-of-the-Year Bigeye Tuna (Thunnus obesus) in the Southwestern Atlantic Ocean 西南大西洋中年轻的大眼金枪鱼(Thunnus obesus)的摄食生态
IF 2.7 2区 农林科学 Q2 FISHERIES Pub Date : 2025-05-23 DOI: 10.1111/fog.12742
Juliano Lauser Coletto, Stefan Cruz Weigert, José Henrique Muelbert, Juliana Couto Di Tullio, Eduardo Resende Secchi, Silvina Botta

Bigeye tuna (Thunnus obesus) is among the most prized tuna species sustaining fisheries worldwide. However, information on the feeding habits for the species is mostly restricted to the size range harvested by commercial fisheries. In this study, we report the diet composition of juvenile bigeye tuna schooling near the surface at night in the oceanic area of the southwestern Atlantic Ocean. We combined short-term dietary information derived from stomach content analysis (n = 14) with time-integrated diet information from carbon (δ13C) and nitrogen (δ15N) stable isotope analysis (n = 8) to characterize diet composition and estimate trophic position (TPbulk) of the individuals. The prey-specific index of relative importance (%PSIRI) indicated that Teleostei (79.1%) was the most important taxon, followed by Cephalopoda (7.6%) and Crustacea (3.9%). Myctophidae was the most frequent Teleostei in the diet (frequency of occurrence: 85.7%). The δ13C values on juvenile tuna muscle tissue ranged from −18.6‰ to −17.4‰ (mean ± SD: −18.1 ± 0.5‰) and δ15N values ranged from 7.2‰ to 8.4‰ (mean ± SD: 7.8 ± 0.3‰). TPbulk (4.15 ± 0.47) results corroborated a diet based on lanternfishes and the predation upon relatively small-sized oceanic squids. Our results address a knowledge gap by highlighting important trophic links for bigeye tuna before they reach a size suitable for exploitation.

大眼金枪鱼(Thunnus obesus)是维持全球渔业的最珍贵的金枪鱼物种之一。然而,关于该物种摄食习性的信息主要局限于商业渔业捕捞的大小范围。本研究报道了西南大西洋海域夜间近水面洄游的大眼金枪鱼幼鱼的饮食组成。我们将胃内容物分析(n = 14)获得的短期饮食信息与碳(δ13C)和氮(δ15N)稳定同位素分析(n = 8)获得的时间整合饮食信息相结合,以表征个体的饮食组成和估计营养位置(TPbulk)。猎物特异性相对重要性指数(%PSIRI)显示,Teleostei(79.1%)是最重要的分类单元,其次是cephalopod(7.6%)和甲壳类(3.9%)。饮食中最常见的Teleostei是孢子虫科(mytophidae),发生率为85.7%。幼鱼肌肉组织δ13C值为−18.6‰~−17.4‰(平均±SD:−18.1±0.5‰),δ15N值为7.2‰~ 8.4‰(平均±SD: 7.8±0.3‰)。TPbulk(4.15±0.47)的结果证实了它们以灯笼鱼为食,以相对较小的海洋鱿鱼为食。我们的研究结果通过强调大眼金枪鱼在达到适合开发的尺寸之前的重要营养环节来解决知识差距。
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引用次数: 0
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Fisheries Oceanography
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