Fisheries Research最新文献_第3页

Erratum to Letter to the Editor re: Ryznar, E.R., & Litzow, M.A. (2024): “Predicting the distribution of red king crab bycatch in Bering Sea flatfish trawl fisheries” [Fish. Res. 279. 107158] reznar, e.r.和Litzow， M.A.(2024)：“预测白令海比目鱼拖网渔业中红王蟹副渔获物的分布”[鱼类。研究》279。107158]

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fishres.2025.107610

引用次数: 0

Effects of environmental variables on the interannual variability of early growth of Trichiurus japonicus in the East China Sea 东海环境变量对日本毛带鱼早期生长年际变化的影响

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fishres.2026.107652

Fengming Lv, Peng Sun, Guankui Liu, Wenbo Deng, Congxian Chen, Jianchao Li, Yongjun Tian

The biological traits of largehead hairtail (Trichiurus japonicus) in the China Seas have undergone pronounced changes, such as smaller body length at age and earlier maturation, which may be attributed to environmental shifts. Consequently, clarifying which environmental variables play a decisive role in the early growth stages of largehead hairtail, along with their impacts, is indispensable for understanding the early life history of this species, and it also holds significant ecological and socio-economic value. To comprehend the variations in early growth of largehead hairtail, we investigated the temporal-scale influences of environmental changes on its early growth. In this study, based on the samples from the East China Sea from 2017 to 2021, the specific relationships between early growth and environmental variables were analyzed by otolith microstructure. Our investigation revealed a notable interannual variability in the early growth of the population. Notably, the sea water temperatures during March and April of 2018 were anomalously lower compared to other years, which corresponded with better growth performance, aided by the reduced Mixed Layer Depth (MLD) during this period. Post-2019, the growth conditions in May were predominantly more conducive for the early growth than in April, leading to a shift in the occurrence of growth peaks to the month of May. This research will provide a foundational understanding of the adaptability of largehead hairtail in the East China Sea in the face of climate change, offering theoretical support for the scientific management of fishery resources.

中国海域大头带鱼（Trichiurus japonicus）的生物学性状发生了明显的变化，如年龄体长变短、成熟期提前等，这可能与环境变化有关。因此，明确哪些环境变量在大头带鱼的早期生长阶段起决定性作用，以及它们的影响，对于了解该物种的早期生活史是必不可少的，并且具有重要的生态和社会经济价值。为了解大头带鱼早期生长的变化规律，研究了环境变化对大头带鱼早期生长的时间尺度影响。本研究以2017 - 2021年东海海域为样本，通过耳石微观结构分析了早期生长与环境变量的具体关系。我们的调查揭示了种群早期生长的显著年际变化。值得注意的是，2018年3月和4月的海水温度与其他年份相比异常低，这与此期间混合层深度（MLD）的减少相对应，生长性能更好。2019年后，5月份的增长条件明显比4月份更有利于早期增长，导致增长峰值的发生向5月份转移。本研究将为了解东海大头带鱼对气候变化的适应性提供基础，为渔业资源的科学管理提供理论支持。

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引用次数: 0

Automated fish gender classification from images using an attention-enhanced DenseNet121 model 使用注意增强的DenseNet121模型从图像中自动分类鱼类性别

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fishres.2025.107644

Sekineh Asadi Amiri , Mohammadsam Andi , Abdolali Movahedinia

Fish gender identification plays a vital role in fisheries management, breeding programs, and maintaining population balance. Traditional methods for gender classification are often manual, time-consuming, and dependent on expert knowledge, which limits their accuracy and scalability. Despite major advancements in deep learning, automated fish gender classification has not been widely explored until now. This study introduces a deep learning-based framework for automated fish gender classification for the first time. The proposed architecture is built upon a modified DenseNet121, enhanced with an attention mechanism specifically, a Squeeze-and-Excitation (SE) block to recalibrate feature maps and help the model focus on the most relevant gender-specific features. Additionally, Global Average Pooling (GAP) and two fully connected (Dense) layers are incorporated to improve feature representation and classification performance. Transfer learning with pre-trained ImageNet weights is also employed to fine-tune the model on a dataset of male and female fish images. The attention-augmented DenseNet121 model achieves a classification accuracy of 94.44 %, significantly outperforming conventional methods. This research demonstrates that integrating attention mechanisms with deep neural networks provides a more accurate, efficient, and scalable solution for fish gender classification, supporting both ecological studies and modern fisheries management.

鱼类性别识别在渔业管理、繁殖计划和维持种群平衡中起着至关重要的作用。传统的性别分类方法往往是手工的、耗时的，并且依赖于专家知识，这限制了它们的准确性和可扩展性。尽管深度学习取得了重大进展，但迄今为止，鱼类性别自动分类尚未得到广泛探索。本研究首次引入了一种基于深度学习的鱼类性别自动分类框架。所提出的架构是建立在改进的DenseNet121之上的，特别增强了一个注意机制，一个挤压和激励（SE）块来重新校准特征图，并帮助模型专注于最相关的性别特征。此外，还结合了Global Average Pooling （GAP）和两个完全连接的（Dense）层来提高特征表示和分类性能。使用预训练ImageNet权重的迁移学习也被用于在雄性和雌性鱼图像数据集上微调模型。注意增强的DenseNet121模型实现了94.44 %的分类准确率，显著优于传统方法。该研究表明，将注意力机制与深度神经网络相结合，为鱼类性别分类提供了更准确、高效和可扩展的解决方案，为生态学研究和现代渔业管理提供了支持。

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引用次数: 0

Applying information theory to increase the efficiency of life-history sampling in fisheries data 应用信息论提高渔业数据生活史采样效率

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fishres.2025.107641

Eric J. Ward , Melissa A. Head , Kotaro Ono , Kelli F. Johnson , Kristin N. Marshall

Effective monitoring of fish populations is critical for understanding life-history traits such as maturation or growth, which directly impact population dynamics and fisheries management. Long-term monitoring efforts around the world are faced with rising survey costs and a more uncertain future, as environmental variability is projected to increase. Together, these pressures necessitate more efficient sampling designs. In this study, we use information theory (Fisher Information) to evaluate and optimize life-history sampling, focusing on how variation in fish growth or maturation can guide more informed sampling decisions. Fisher Information is closely related to variance, in that samples with higher information result in greater precision. Using life-history parameters from eight commercially important groundfish species assessed on the U.S. West Coast, we develop three case studies illustrating how sampling strategies can be improved using Fisher Information. The first example focuses on estimating maturity ogives in the absence of spatial and temporal variability; our second case study incorporates spatial and temporal variation; and the third adds a second life-history trait (growth) to jointly optimize sampling for maturity. Our results indicate that for informing maturity ogives, Fisher Information is maximized at lengths near the inflection point, and that the range of most informative lengths can shift across space and time due to habitat or environmental variation. When both growth and maturation are considered, optimal sampling windows broaden for some species but remain narrow for others. Our simulation results also show that sampling fish in proportion to Fisher Information, rather than random sampling, can reduce sampling effort by more than 50 % while maintaining or improving the precision of parameter estimates. While the benefits of using Fisher Information are species specific, these findings suggest that adaptive sampling based on Fisher Information can substantially increase the efficiency and effectiveness of monitoring programs, especially under budgetary or logistical constraints.

对鱼类种群的有效监测对于了解诸如成熟或生长等生活史特征至关重要，这些特征直接影响种群动态和渔业管理。世界各地的长期监测工作面临着不断上升的调查成本和更加不确定的未来，因为预计环境变异性将增加。总之，这些压力需要更有效的抽样设计。在本研究中，我们使用信息论（Fisher information）来评估和优化生活史采样，重点关注鱼类生长或成熟的变化如何指导更明智的采样决策。费雪信息与方差密切相关，信息越高的样本精度越高。利用在美国西海岸评估的八种重要商业底栖鱼类的生活史参数，我们开发了三个案例研究，说明如何使用Fisher信息改进采样策略。第一个例子侧重于在没有时空变异的情况下估计成熟度；我们的第二个案例研究包含了时空变化；第三种方法增加了第二个生活史特征（生长），共同优化成熟度采样。研究结果表明，对于成熟度曲线而言，Fisher信息在拐点附近的长度处达到最大值，并且由于栖息地或环境的变化，最具信息量的长度范围会随时间和空间变化而变化。当同时考虑生长和成熟时，一些物种的最佳采样窗口变宽，而另一些物种的最佳采样窗口仍然很窄。我们的仿真结果还表明，在保持或提高参数估计精度的同时，按Fisher信息比例采样鱼，而不是随机采样，可以减少50%以上的采样努力 %。虽然使用Fisher信息的好处是特定于物种的，但这些发现表明，基于Fisher信息的自适应采样可以大大提高监测计划的效率和有效性，特别是在预算或后勤限制的情况下。

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引用次数: 0

Using morphometric relationships for total length prediction of Atlantic cod (Gadus morhua) in electronic monitoring videos 利用形态计量学关系预测大西洋鳕鱼（Gadus morhua）的总长度

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-24 DOI: 10.1016/j.fishres.2025.107633

Martin Mathias Nielsen , Tiago Veiga-Malta , Marie Storr-Paulsen , Luísa Sousa Machado , Jordan Feekings

Effective fisheries management relies on accurate data on catch compositions to ensure sustainable fishing practices and protect marine ecosystems. While traditional data collection methods effectively document the wanted catch components, the data for the unwanted catch component often remain elusive, leaving a significant gap in fisheries management. Electronic monitoring (EM) systems have shown potential as a tool that can help in enhancing legal compliance and improve data accuracy by remotely monitoring catches. However, analysis of EM videos remains challenging for both trained video observers and computer vision algorithms due to issues such as occlusion from overlapping fish or obstructed field of view. This study explores the use of morphometric relationships specifically for Atlantic cod (Gadus morhua), aiming to establish a proof-of-concept to estimate the total lengths of partially occluded fish in EM videos. An exploratory analysis of 34 morphometric relationships found seven morphometric parameters to be particularly suited for length estimation, namely, head length (HL), pre-orbital length (PROL), post-orbital length (POOL), horizontal eye diameter (HED), pectoral fin length (PCFL), pectoral fin width (PCFW), and caudal peduncle height (CPH). Based on bi- and multi-variate ordinary least squares (OLS) regressions with heteroskedasticity-consistent standard error (HCSE) estimators, prediction equations to support trained video observers and computer vision algorithms are proposed for 127 occlusion scenarios. Our results show that morphometric parameters can be used to accurately predict total lengths in catch compositions with partly occluded individuals. The predictive accuracy of the regressions improves as the number of morphometric parameters used for length prediction increases.

有效的渔业管理依赖于准确的渔获成分数据，以确保可持续的捕捞方式和保护海洋生态系统。虽然传统的数据收集方法有效地记录了想要捕获的部分，但不想要捕获的部分的数据往往仍然难以捉摸，在渔业管理中留下了重大空白。电子监测（EM）系统已经显示出其作为一种工具的潜力，它可以通过远程监测渔获量来帮助提高法律合规性和提高数据准确性。然而，对于训练有素的视频观察者和计算机视觉算法来说，EM视频的分析仍然具有挑战性，因为存在重叠鱼类或遮挡视野等问题。本研究探索了大西洋鳕鱼（Gadus morhua）形态测量关系的使用，旨在建立一个概念验证，以估计EM视频中部分遮挡的鱼的总长度。一项对34种形态计量关系的探索性分析发现，7种形态计量参数特别适合于长度估计，即头长（HL）、眶前长度（PROL）、眶后长度（POOL）、水平眼直径（HED）、胸鳍长度（PCFL）、胸鳍宽度（PCFW）和尾柄高度（CPH）。基于异方差-一致标准误差（HCSE）估计的双变量和多变量普通最小二乘（OLS）回归，提出了127种遮挡场景下支持训练视频观察者的预测方程和计算机视觉算法。我们的研究结果表明，形态计量参数可以准确地预测部分遮挡个体的捕获组合的总长度。随着用于长度预测的形态计量参数数量的增加，回归的预测精度也随之提高。

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引用次数: 0

Broadband acoustic modeling for fish body orientation: A functional GAM approach with common bream case 鱼体定位的宽带声学建模：一种基于普通鲷鱼的功能GAM方法

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-23 DOI: 10.1016/j.fishres.2025.107640

Michal Tušer , Marek Brabec , Jaroslava Frouzová

Determining the orientation of fish is crucial when processing hydroacoustic recordings, especially for accurate estimates of fish size and biomass. Variations in body orientation can significantly bias acoustic measurements. In this study, a novel modeling approach for estimating fish body orientation from pulse-compressed broadband acoustic signals is investigated. We applied a functional generalized additive model (FGAM) to fast- and slow-tapered broadband acoustic data from tethered common bream (Abramis brama) and evaluated its ability to estimate dorsal body orientation (±40° from true dorsal position). We assessed model reliability and generalizability using rigorous cross-validation, in which data from each fish were excluded during training and predicted using models trained only on the remaining individuals. Additionally, we subjected the model to a further, much more stringent test by applying the bream-trained model not only to a different individual, but to another species, the roach (Rutilus rutilus), to assess its interspecies robustness. Results show that the model captured the general trend of dorsal orientation transition from head to tail, albeit with some bias. The performance was better for slow-tapered acoustic pulses, compared to the fast variant. While the FGAM-based approach is not perfectly predictive, it provides a transparent framework for inferring individual-level traits from acoustic data. By incorporating orientation variability into size estimation, this method contributes to a more informed interpretation of broadband signals and supports better assessment of fish in ecological research and fisheries monitoring.

在处理水声记录时，确定鱼的方向是至关重要的，特别是对鱼的大小和生物量的准确估计。身体方向的变化会显著影响声学测量。本文研究了一种利用脉冲压缩宽带声信号估计鱼体方位的新方法。我们将功能广义加性模型（FGAM）应用于系绳鲷（布拉马）的快变和慢变宽带声学数据，并评估其估计身体背向的能力（距离真实背位±40°）。我们使用严格的交叉验证来评估模型的可靠性和泛化性，其中在训练期间排除了每条鱼的数据，并使用仅对剩余个体进行训练的模型进行预测。此外，我们对模型进行了进一步的、更严格的测试，不仅对不同的个体，而且对另一个物种——蟑螂（Rutilus Rutilus）——进行了测试，以评估其种间稳健性。结果表明，该模型捕捉了从头部到尾部的背向过渡的总体趋势，尽管存在一定的偏差。与快速变型相比，慢锥声脉冲的性能更好。虽然基于fgam的方法不是完美的预测，但它为从声学数据推断个人层面的特征提供了一个透明的框架。通过将方向变化纳入大小估计，该方法有助于对宽带信号进行更明智的解释，并支持在生态研究和渔业监测中更好地评估鱼类。

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引用次数: 0

Stock identification of the striped mullet Mugil incilis (Actinopterygii: Mugilidae) using truss network, morphometric relationships, and probabilistic models in three regions of the Colombian Caribbean. 基于桁架网络、形态计量关系和概率模型的哥伦比亚加勒比地区条纹鲻种群鉴定（放线鱼科：鲻科）

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-23 DOI: 10.1016/j.fishres.2025.107642

K.E. Carrillo-Castro , P. del Monte-Luna , C. Cardenas-Uribe , y.H. Castillo-Navarro

The striped mullet Mugil incilis is an important fishery resource in the Colombian Caribbean, but its management has traditionally assumed a single uniform stock without empirical validation. This study evaluated phenotypic stock differentiation across three lagoon systems: Ciénaga Grande de Santa Marta (CGSM), Ciénaga de la Virgen (CVir), and Ciénaga de la Caimanera (CCera). A total of 196 individuals were collected (2023): 78 from CGSM (19.8–30.7 cm TL), 65 from CVir (17.0–37.8 cm TL), and 53 from CCera (17.5–30.0 cm TL). A truss network of 25 morphometric distances was standardized using allometric correction to eliminate ontogenetic effects. Multivariate analyses (PERMANOVA) revealed significant differences among lagoons, with pairwise comparisons confirming consistent separation. PERMDISP indicated that these differences were mainly due to body shape rather than within-group dispersion. Divergence was concentrated in three anatomical regions: cranial structures, trunk depth, and the mid-posterior/caudal peduncle, all related to feeding performance and swimming efficiency. SIMPER and univariate analyses identified these areas as the main contributors to stock differentiation. Classification models reinforced these findings: Flexible Discriminant Analysis achieved 86.9 % accuracy, while Multinomial Logistic Regression achieved 95 % accuracy with a pseudo-R² of 0.92. Both methods provided consistent evidence and strong predictive power, demonstrating the robustness of morphometric markers for stock discrimination. This is the first comprehensive evidence of at least three distinct M. incilis stocks in the Colombian Caribbean. Incorporating this differentiation into fisheries management is critical to reducing overexploitation risks and supporting sustainable strategies tailored to each lagoon’s specific dynamics.

条纹鲻鱼是哥伦比亚加勒比海地区重要的渔业资源，但其管理传统上假设单一统一的种群，没有经验验证。本研究评估了三个泻湖系统的表型种群分化：大圣玛尔塔（CGSM）、处女岛（CVir）和凯马纳拉岛（CCera）。共收集到196只（2023），其中CGSM(19.8 ~ 30.7 cm) 78只，CVir(17.0 ~ 37.8 cm) 65只，CCera(17.5 ~ 30.0 cm) 53只。使用异速校正消除个体发生效应，标准化了25个形态测量距离的桁架网络。多变量分析（PERMANOVA）揭示了泻湖之间的显著差异，两两比较证实了一致的分离。PERMDISP表明，这些差异主要是由于体型而不是组内分散。分化主要集中在三个解剖区域：颅骨结构、躯干深度和中后/尾柄，这些区域都与进食性能和游泳效率有关。SIMPER和单变量分析确定这些区域是种群分化的主要贡献者。分类模型强化了这些发现：灵活判别分析的准确率为86.9 %，而多项逻辑回归的准确率为95 %，伪r²为0.92。两种方法都提供了一致的证据和较强的预测能力，证明了形态计量标记对股票区分的稳健性。这是哥伦比亚加勒比海地区首次全面证据表明至少有三种不同的赤毛分枝杆菌种群。将这种差异纳入渔业管理对于减少过度开发风险和支持针对每个泻湖的具体动态量身定制的可持续战略至关重要。

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引用次数: 0

Fjord retention and dispersion of shrimp larvae (Pandalus borealis) in Northern Norway 挪威北部幼虾（Pandalus borealis）峡湾滞留和分散

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-22 DOI: 10.1016/j.fishres.2025.107639

Jofrid Skarðhamar , Anne Dagrun Sandvik , Pål Næverlid Sævik , Jon Albretsen , Guldborg Søvik

Larval drift connects sub-populations within metapopulations of species with long lasting pelagic larval phases, like northern shrimp (Pandalus borealis), which inhabits patches of soft bottom along the Norwegian coast. The key objective of this study was to investigate whether northern shrimp in Northern Norwegian fjords constitute distinct fjord-based sub-populations, or if they form a coherent coastal population due to advection of larvae along the coast and between fjords. Shrimp larval fluxes within and out of a Northern Norwegian fjord, Kvænangen, were studied with a particle tracking model combined with a high-resolution hydrodynamic model, and we estimated the retention of shrimp larvae released within the fjord and the export of larvae with the currents to neighbouring fjords. Kvænangen is an open fjord with a deep sill dividing the inner and outer fjord. The model particles, representing shrimp larvae, were given a temperature dependent development rate and a diurnal vertical swimming behaviour dependent on development stage. Larval drift was modelled for the years 2018–2021 to capture interannual variability of oceanographic conditions. The dispersal of shrimp larvae varied from local settlement within the fjord, to long range advection (>250 km) to other fjords downstream or farther to the Barents Sea. Within Kvænangen, more larvae settled in the inner fjord basins behind the sill than in the outer fjord. Shrimp in the inner fjord seem to constitute a self-sustained sub-population, while the population outside the sill lost most of its spawning products offshore and therefore relies on import from the inner fjord and upstream populations for recruits. These results have implications for the management of shrimp fisheries and how the management units of shrimp should be defined. Our findings are also relevant for management of the salmon aquaculture industry; since shrimp larvae disperse throughout Kvænangen, there is no place in the fjord where chemicals from delousing baths can be released without potentially harming shrimp larvae.

幼虫漂移将具有长期远洋幼虫期的物种的亚种群连接在一起，比如居住在挪威海岸软底的北方虾（Pandalus borealis）。本研究的主要目的是调查挪威北部峡湾的北方虾是否构成了独特的峡湾亚种群，或者它们是否由于沿海岸和峡湾之间的幼虫平流而形成了一个连贯的沿海种群。采用粒子跟踪模型结合高分辨率流体动力学模型，对挪威北部Kvænangen峡湾内外虾类幼虫通量进行了研究，并估计了峡湾内释放的虾类幼虫滞留量和随水流向邻近峡湾的虾类幼虫出口量。Kvænangen是一个开放的峡湾，深井将内外峡湾分开。模型粒子代表虾仔，给予温度依赖的发育速率和取决于发育阶段的日垂直游动行为。对2018-2021年的幼虫漂移进行了建模，以捕捉海洋条件的年际变化。虾幼虫的扩散从在峡湾内的局部定居到长途平流（250 公里）到下游的其他峡湾或更远的巴伦支海。在Kvænangen内，沉积在台地后的内峡湾盆地的幼虫比沉积在外峡湾的幼虫多。峡湾内的虾似乎构成了一个自我维持的亚种群，而峡湾外的种群仍然失去了大部分的近海产卵产品，因此依赖于从峡湾内和上游种群的进口来招募。这些结果对对虾渔业的管理和对虾管理单位的界定具有指导意义。我们的研究结果也与鲑鱼养殖业的管理有关；由于虾仔散布在整个Kvænangen，在峡湾没有任何地方可以释放除虱浴产生的化学物质而不可能伤害虾仔。

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引用次数: 0

A simple method to measure beam overlap in multibeam sonars using calibration spheres 一种利用标定球测量多波束声纳波束重叠的简单方法

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-22 DOI: 10.1016/j.fishres.2025.107636

Guillermo Boyra, Udane Martinez

In multibeam sonar systems, beam overlap introduces distortion in across-beam size measurements, leading to overestimation of target dimensions. A previously developed method estimated beam overlap by comparing along-beam and across-beam measurements of fish schools during purse seine maneuvers, demonstrating the presence of overlap and proposing a metric for its quantification. However, this approach required substantial effort and had limited precision on vertical swaths. In this study, we present a simplified and reproducible method for estimating beam overlap using standard calibration spheres commonly employed in fisheries acoustics. The procedure involves placing a sphere of known diameter at the center of a sonar beam. Provided the range is sufficient for the beam to fully encompass the target, the degree of overlap is estimated by counting the number of beams that detect the sphere. This method yielded results similar to the previous approach, while requiring considerably less effort. It can be performed nearshore in a few hours, and allows for overlap estimation in both horizontal and vertical planes with similar accuracy. The proposed technique offers a practical and efficient alternative for beam overlap calibration, facilitating its integration into standard acoustic calibration protocols.

在多波束声纳系统中，波束重叠导致了波束间尺寸测量的失真，导致目标尺寸的高估。先前开发的一种方法是通过比较围网操作期间鱼群的顺波束和跨波束测量来估计波束重叠，证明重叠的存在并提出量化的度量。然而，这种方法需要大量的努力，并且在垂直区域上精度有限。在这项研究中，我们提出了一种简化和可重复的方法来估计波束重叠使用标准校准球通常用于渔业声学。这个过程包括在声纳波束的中心放置一个已知直径的球体。如果距离足以使光束完全包围目标，则通过计算探测球体的光束的数量来估计重叠程度。这种方法产生的结果与前一种方法相似，但需要的努力要少得多。它可以在几个小时内在近岸进行，并且允许在水平和垂直平面上以相似的精度进行重叠估计。所提出的技术为波束重叠校准提供了一种实用而高效的替代方案，有助于将其集成到标准声学校准协议中。

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引用次数: 0

Biological traits of blackbellied angler (Lophius budegassa Spinola, 1807) in the central Adriatic Sea 亚得里亚海中部黑腹垂钓者（Lophius budegassa Spinola, 1807）的生物学特性

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research

Pub Date : 2025-12-20 DOI: 10.1016/j.fishres.2025.107638

Fortunata Donato , Federico Calì , Carlotta Mazzoldi , Alberto Santojanni , Mario La Mesa

This study investigates some biological traits of the blackbellied anglerfish (Lophius budegassa) in the central Adriatic Sea, an area characterised by intense bottom trawling activity and high ecological importance. Reproductive parameters of the local population, such as sex ratio, gonado-somatic index, sexual maturity and fecundity were assessed by macroscopic and histological analyses of gonads, whereas age and somatic growth were estimated using illicium sections. The results revealed pronounced differences in size, growth, and maturation between sexes. Females attained significantly larger sizes and older ages than males, with asymptotic sizes of 73.0 cm and 43.2 cm and maximum ages of 15 and 6 years, respectively. Growth was negatively allometric for both sexes, whereas the condition factor was significantly higher in females, likely reflecting differing reproductive strategies and energy allocation patterns. Consistent with the marked dimorphism in size, size at first sexual maturity was markedly higher in females than in males. Histological and gonado-somatic analyses confirmed an extended spawning season from autumn through late spring, with peak reproductive activity of females in May and October. Females exhibited synchronous oocyte development, with total fecundity ranging from 82247 to 276332 oocytes/female and relative fecundity between 33–91 oocytes/g. These findings provide novel insights into the life history of L. budegassa in the central Adriatic Sea and contribute to a better understanding of its population structure and reproductive strategies. The information obtained is relevant for future stock assessments and the development of science-based management measures aimed at the sustainable exploitation of this commercially and ecologically important species.

本研究调查了亚得里亚海中部的黑腹琵琶鱼（Lophius budegassa）的一些生物学特性，该地区的特点是强烈的底拖网捕捞活动和高度的生态重要性。通过性腺的宏观和组织学分析来评估当地种群的生殖参数，如性别比、性腺-躯体指数、性成熟和繁殖力，而利用髂骨切片来估计年龄和躯体生长。结果显示，两性之间在大小、生长和成熟方面存在显著差异。女性的体型和年龄均明显大于男性，渐近体型分别为73.0 cm和43.2 cm，最大年龄分别为15岁和6岁。两性的生长均呈负异速生长，而雌性的条件因子明显更高，可能反映了不同的生殖策略和能量分配模式。与尺寸上明显的二态性一致，雌性在性成熟初期的尺寸明显高于雄性。组织学和性腺-体细胞分析证实了从秋季到晚春的产卵季节延长，雌性的繁殖活动高峰在5月和10月。雌性卵母细胞发育同步，总繁殖力在82247 ~ 276332个卵母细胞/g之间，相对繁殖力在33 ~ 91个卵母细胞/g之间。这些发现提供了对亚得里亚海中部budegassa生活史的新认识，有助于更好地了解其种群结构和繁殖策略。所获得的资料对今后的种群评估和制定以科学为基础的管理措施是有关的，目的是可持续地开发这种具有商业和生态重要性的物种。

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