Aquacultural Engineering最新文献_第7页

Optimizing intensive shrimp production: Relieve the physiological pressure in Penaeus vannamei through transition from biofloc technology to recirculating clear-water aquaculture systems 优化集约化对虾生产：通过从生物絮团技术过渡到循环式清水养殖系统，缓解凡纳滨对虾的生理压力

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-10-31 DOI: 10.1016/j.aquaeng.2025.102657

Yanshuo Guo , Wenchang Liu , Dingdong Xiao , Guozhi Luo , Hongxin Tan

{"title":"Optimizing intensive shrimp production: Relieve the physiological pressure in Penaeus vannamei through transition from biofloc technology to recirculating clear-water aquaculture systems","authors":"Yanshuo Guo , Wenchang Liu , Dingdong Xiao , Guozhi Luo , Hongxin Tan","doi":"10.1016/j.aquaeng.2025.102657","DOIUrl":"10.1016/j.aquaeng.2025.102657","url":null,"abstract":"<div><div>Biofloc technology systems (BFTs) and recirculating clear-water aquaculture systems (RCWs) are widely used engineering approaches for intensive shrimp culture. To improve practical performance, this study evaluated a time-sequenced retrofit that transitions from BFTs to RCWs (TCW) against a baseline, zero-exchange BFTs operated under conventional routines (SBI). The TCW regime was divided into two stages: BFTs were employed from days 0–30, followed by RCWs from days 30–50. During the second stage, TCW maintained total suspended solids (TSS) below 40 mg/L, whereas TSS in SBI rose to 683.33 mg/L and exceeded the commonly recommended range only at termination. Shrimp in the TCW exhibited healthier gill morphology and significantly lower malondialdehyde (MDA) levels (<em>p-</em>value < 0.05), indicating reduced oxidative stress Activities of Na<sup>+</sup> /K<sup>+</sup>-ATPase and ATPase in TCW showed an increasing trend, consistent with improved osmoregulatory function. Transcriptomic analysis revealed upregulation of immune-related pathways (e.g., extracellular region, hemolymph coagulation, innate immunity) in SBI, accompanied by enhanced expression of cell cycle genes involved in DNA repair and proliferation. However, genes related to molting, protein glycosylation, and metabolic homeostasis were predominantly downregulated, indicating energy was diverted toward immune defense. In contrast, nitrogen metabolism pathways were upregulated in TCW, supporting improved ammonia detoxification and energy allocation toward growth. Together with significantly higher weight gain rate and specific growth rate (<em>p-</em>value < 0.05), these findings indicate that a BFTs to RCWs transition reduces physiological stress and improves metabolic efficiency. This staged design provides a practical reference for optimizing shrimp farming systems and promoting sustainable aquaculture.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102657"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145462467","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}

引用次数: 0

Implementation strategies for artificial upwelling to improve productivity in intensive bivalve aquaculture 人工上升流提高集约化双壳类水产养殖生产力的实施策略

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-11-05 DOI: 10.1016/j.aquaeng.2025.102663

Zhiyu Zou , Wei Fan , Yonggang Zhao , Hang Zhang , Bingxiao Bai , Zongpei Jiang , Yiwen Pan

{"title":"Implementation strategies for artificial upwelling to improve productivity in intensive bivalve aquaculture","authors":"Zhiyu Zou , Wei Fan , Yonggang Zhao , Hang Zhang , Bingxiao Bai , Zongpei Jiang , Yiwen Pan","doi":"10.1016/j.aquaeng.2025.102663","DOIUrl":"10.1016/j.aquaeng.2025.102663","url":null,"abstract":"<div><div>The escalating global demand for seafood necessitates the development of sustainable aquaculture practices. Bivalves represent a critical solution for food security due to their dual roles as protein sources and natural carbon sinks, positioning them as key contributors to climate change mitigation. However, high-density farming structures in bivalve aquaculture impede natural water circulation, reducing phytoplankton availability as food supply and increasing mortality rates. This study introduces air-lift artificial upwelling (AU) as a novel approach to restore culture conditions by generating bubble-entrained plumes (BEPs). The plumes entrain and transport the food-rich water at a lower water level to the bivalve canopy layer, consequently enhancing productivity. We systematically characterized BEP hydrodynamics in stratified environments. A transport capacity evaluation method was developed using chlorophyll-a (Chl-a) fluorescence as a proxy for food concentration. By maximizing the transport capacity, the AU system is capable of providing maximum food delivery capacity with limited energy. Theoretical approaches were validated through laboratory experiments and computational fluid dynamics (CFD) simulations, demonstrating the model's ability to predict BEP trajectories and entrainment rates. Field deployment of an optimized air-lift AU system in a mussel farm revealed a 40.2 % increase in Chl-a concentration within the farming layer, corresponding to a 16.4 % increase in energy supply for mussel growth based on the Dynamic Energy Budget (DEB) model, confirming its efficacy in improving productivity.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102663"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525327","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}

引用次数: 0

Numerical study on the flow fields inside and around a submersible truss-type aquaculture cage 水下桁架式养殖网箱内部及周围流场的数值研究

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-10-28 DOI: 10.1016/j.aquaeng.2025.102655

Xue-Wen Zhou , Chun-Wei Bi , Liu-Yi Huang , Yuan-Mao Zhang , Yin-Xin Zhou , Wei Pang

{"title":"Numerical study on the flow fields inside and around a submersible truss-type aquaculture cage","authors":"Xue-Wen Zhou , Chun-Wei Bi , Liu-Yi Huang , Yuan-Mao Zhang , Yin-Xin Zhou , Wei Pang","doi":"10.1016/j.aquaeng.2025.102655","DOIUrl":"10.1016/j.aquaeng.2025.102655","url":null,"abstract":"<div><div>Flow field characteristics not only influence the water exchange efficiency of aquaculture cages but also determine the suitability of the internal hydrodynamic environment for fish farming. The flow environment affects both structural safety and fish growth. In this study, a framework structure model of a submersible cage was established, with the nets represented using the porous media model. The objective was to analyze the distribution characteristics of the flow field inside and around the cage. Results indicated that the flow velocity within most of the internal water body lies between 0.9 and 1 times the incoming velocity, and variations in incoming velocity have minimal impact on the spatial distribution patterns of the internal flow field. The incoming direction significantly influences the flow field characteristics, particularly in the formation of extensive low-velocity zones near the horizontal pontoons. When the longitudinal axis of the horizontal pontoons is oriented perpendicular to the incoming flow, the deceleration zone can extend up to three cage lengths downstream of the structure. An increase in net solidity results in a significant reduction in flow velocity. For <em>S</em><sub><em>n</em></sub> = 0.317, most of the aquaculture volume exhibits velocities between 0.7<em>u</em><sub>0</sub> and 0.8<em>u</em><sub>0</sub>. Under uniform flow conditions, the submergence state of the cage has minimal impact on the internal flow velocity distribution. Most of the aquaculture water body also lies between 0.9 and 1 times the incoming velocity.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102655"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412475","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}

引用次数: 0

Performance evaluation of water quality for shrimp farming using deep learning classification 基于深度学习分类的对虾养殖水质性能评价

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-10-27 DOI: 10.1016/j.aquaeng.2025.102648

Zaikhul Sulthon Suasono , Setiawardhana Setiawardhana , Agus Indra Gunawan , Idris Winarno

{"title":"Performance evaluation of water quality for shrimp farming using deep learning classification","authors":"Zaikhul Sulthon Suasono , Setiawardhana Setiawardhana , Agus Indra Gunawan , Idris Winarno","doi":"10.1016/j.aquaeng.2025.102648","DOIUrl":"10.1016/j.aquaeng.2025.102648","url":null,"abstract":"<div><div>Many Indonesian farmers cultivating white-leg shrimp (<em>Litopenaeus vannamei</em>), especially in conventional and semi-conventional systems, depend on visual inspections and empirical knowledge to evaluate pond water quality. These farmers typically lack standardized protocols for quantifying essential parameters, including water temperature, pH, dissolved oxygen, and salinity. To address this issue, this research assessed the feasibility a site-specific water quality classification system as a proof-of-concept for conventional white-leg shrimp ponds in Surabaya, Indonesia, employing a Multi-layer Perceptron (MLP) model to prioritize detection of critical states aligned with regulatory standards. The approach follows standards from the Minister of Marine Affairs and Fisheries Regulation No. 75 of 2016, with Analytic Hierarchy Process (AHP) for parameter weights. Validation used 1075 samples from two ponds. Metrics encompassed accuracy, precision, recall, and F1-score, yielding an overall accuracy of 0.89 (95 % CI: 0.8465–0.9256) and a weighted-average F1-score of 0.89. The model performed for the 'Bad' class (precision: 0.93, 95 % CI: 0.8658–0.9647; recall: 0.95, 95 % CI: 0.8906–0.9780; F1-score: 0.94, approximate 95 % CI: 0.8740–1.0000; support: 106) and 'Good' class (precision: 0.88, 95 % CI: 0.7928–0.9336; recall: 0.84, 95 % CI: 0.7489–0.9024; F1-score: 0.86, approximate 95 % CI: 0.7559–0.9641; support: 87), supporting site-level risk assessment. Class imbalance, however, constrained performance for minority classes like 'Excellent' (precision: 0.74, 95 % CI: 0.5357–0.8753; recall: 0.77, 95 % CI: 0.5627–0.8970; F1-score: 0.76, approximate 95 % CI: 0.5217–0.9983; support: 22) and 'Very Bad' (precision: 0; recall: 0; F1-score: 0; support: 0), resulting in a macro-averaged F1-score of 0.64.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102648"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412474","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}

引用次数: 0

Angle-aware multi-object fish tracking with unique forward orientation estimation 具有唯一前向估计的角度感知多目标鱼跟踪

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-11-01 DOI: 10.1016/j.aquaeng.2025.102658

Yu Li , Yunchen Tian , Jianing Quan , Jinzhu Sui

{"title":"Angle-aware multi-object fish tracking with unique forward orientation estimation","authors":"Yu Li , Yunchen Tian , Jianing Quan , Jinzhu Sui","doi":"10.1016/j.aquaeng.2025.102658","DOIUrl":"10.1016/j.aquaeng.2025.102658","url":null,"abstract":"<div><div>In fish behavior analysis, challenges such as dense occlusion, overlapping trajectories, and similar orientations often lead to severe mismatches and frequent ID switches in long-term individual tracking, thereby undermining the effectiveness of subsequent behavioral analysis. To address these issues, this paper proposes an Angle-Oriented two-stage Multi-Object Fish Tracking framework, called AOMO-FishTracker. By partitioning the activity space from an overhead camera perspective, the framework defines a unique forward orientation for each fish during swimming. In the detection stage, oriented bounding boxes (OBB) are introduced to replace conventional horizontal bounding boxes. Through rigorous geometric derivation, a unique representation of the forward orientation of each individual is established. Notably, the proposed approach can be seamlessly integrated into any existing deep learning-based detection model by incorporating a lightweight angle regression branch, thereby enabling the accurate modeling and representation of fish body orientation. In the tracking stage, a rotated IoU (RIoU)–based matching strategy is designed, together with an angle-difference filtering mechanism, to avoid mismatches between highly overlapping targets with opposite orientations effectively. In addition, an ID-restriction assignment strategy is proposed to suppress redundant and invalid trajectories, thus improving the overall stability of tracking. Experimental results on a complex fish tracking dataset demonstrate that AOMO-FishTracker achieves improvements of 2.72% in IDF1 and 1.53% in MOTA over state-of-the-art methods, highlighting its superior tracking accuracy and adaptability in challenging dense scenarios. These findings indicate that the proposed framework is well-suited for intelligent fish monitoring in complex aquaculture environments.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102658"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145462466","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}

引用次数: 0

Biodegradation mechanism and removal routes of 17β-estradiol in aquaculture wastewater: A review 水产养殖废水中17β-雌二醇的生物降解机理及去除途径研究进展

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-09-06 DOI: 10.1016/j.aquaeng.2025.102636

Changwei Li, Limin Dai

引用次数: 0

Improving feed intake predictions in aquaculture: Integrating dissolved oxygen, body weight, and temperature for Atlantic salmon and meagre 改进水产养殖采食量预测：整合大西洋鲑鱼和贫鱼的溶解氧、体重和温度

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-09-05 DOI: 10.1016/j.aquaeng.2025.102635

Marina Linhares Azevedo , Tomé Silva , Filipe Soares , Sergey Budaev , Luis E.C. Conceição , Nina Liland , Pedro Pousão-Ferreira , Ivar Rønnestad

{"title":"Improving feed intake predictions in aquaculture: Integrating dissolved oxygen, body weight, and temperature for Atlantic salmon and meagre","authors":"Marina Linhares Azevedo , Tomé Silva , Filipe Soares , Sergey Budaev , Luis E.C. Conceição , Nina Liland , Pedro Pousão-Ferreira , Ivar Rønnestad","doi":"10.1016/j.aquaeng.2025.102635","DOIUrl":"10.1016/j.aquaeng.2025.102635","url":null,"abstract":"<div><div>Mathematical models serve as essential tools to optimize feeding strategies, enhance feed efficiency and promote more sustainable aquaculture production. While previous studies primarily aimed to develop feed intake (FI) models based on body weight and temperature, the effect of dissolved oxygen (DO) — a critical environmental factor influencing FI—has often been overlooked. This work aimed to develop FI models for Atlantic salmon and meagre incorporating three main factors (i) body weight, (ii) temperature and (iii) dissolved oxygen. Oxygen-independent models were developed using data sourced from the literature, while Oxygen-dependent models utilized experimental trial data. The Akaike Information Criterion was used to assess and compare the relative quality of the Oxygen-dependent models. To evaluate the models’ performance, an initial analysis was conducted by plotting the model predictions with DO levels from 0 to 10 mg/L. In addition, an independent dataset for each species was used to evaluate the developed models' performance, and model accuracy for each FI model was assessed via the mean absolute percentage error (MAPE). Results show that DO levels influence FI and growth in both species. For Atlantic salmon, Oxygen-dependent models significantly improved FI predictions, whereas for meagre, the Oxygen-independent model provided the most accurate FI predictions. These findings emphasize the importance of incorporating DO into FI models for species where it plays a significant role, while further research is needed to clarify the putative role of DO in meagre FI.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102635"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047157","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}

引用次数: 0

Video and six-axis inertial sensor signals fusion for fish feeding behavior recognition in recirculating aquaculture system 视频与六轴惯性传感器信号融合用于循环水养殖系统中鱼类摄食行为识别

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-10-22 DOI: 10.1016/j.aquaeng.2025.102649

Pingchuan Ma , Zhenxi Zhao , Xinting Yang , Tingting Fu , Weichen Hu , Chao Zhou

{"title":"Video and six-axis inertial sensor signals fusion for fish feeding behavior recognition in recirculating aquaculture system","authors":"Pingchuan Ma , Zhenxi Zhao , Xinting Yang , Tingting Fu , Weichen Hu , Chao Zhou","doi":"10.1016/j.aquaeng.2025.102649","DOIUrl":"10.1016/j.aquaeng.2025.102649","url":null,"abstract":"<div><div>In aquaculture, real-time and accurate recognition of fish feeding behavior is of great significance to improve feeding efficiency and reduce feed waste. Multimodal approaches, such as image or motion sensors, show great potential in assessing the feeding intensity. In this paper, a fish feeding intensity classification model (VTFish) is proposed to fuse the video and six-axis inertial sensor signals. Specifically, as follows: Firstly, a Transformer is used to fusion the six-axis inertial sensor signals with video features extracted by a 3D Swin Transformer, generating feature vectors for different modalities. Then, a CAF module is introduced to guide the video features to produce fused features at low, medium, and high scales by using the time series features of the six-axis inertial sensor signal. Finally, cross-modal fusion is conducted via Cross-transformer between the high-dimensional image features and the six-axis inertial sensor's signals. Experimental results demonstrated that the proposed multi-modal VTFish model achieves a recognition accuracy of 94.29 %, which is an improvement of 3.56 % compared to the original model. Furthermore, the model outperforms single-modal recognition, with accuracy improvements of 19.29 % and 11.43 % over single image and six-axis inertial sensor modal, respectively. This model can be applied to develop intelligent feeding strategies and provide algorithm support for the development of smart feeding machines.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102649"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358658","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}

引用次数: 0

AI-powered decision support system for mariculture: Real-time fish mortality prediction with random forest 基于人工智能的海水养殖决策支持系统：随机森林实时鱼类死亡率预测

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-09-01 DOI: 10.1016/j.aquaeng.2025.102621

Ramadhona Saville , Atsushi Fujiwara , Katsumori Hatanaka , Masaaki Wada , Aris Yaman , Reny Puspasari , Hatim Albasri , Nugroho Dwiyoga

{"title":"AI-powered decision support system for mariculture: Real-time fish mortality prediction with random forest","authors":"Ramadhona Saville , Atsushi Fujiwara , Katsumori Hatanaka , Masaaki Wada , Aris Yaman , Reny Puspasari , Hatim Albasri , Nugroho Dwiyoga","doi":"10.1016/j.aquaeng.2025.102621","DOIUrl":"10.1016/j.aquaeng.2025.102621","url":null,"abstract":"<div><div>Fish mortality is a significant issue in mariculture, affecting productivity and sustainability. Predicting mortality risk in real-time is crucial for improving decision making and operational efficiency in mariculture management. This paper presents the development of a real-time fish mortality risk prediction model, designed as part of a Decision Support System using the Random Forest machine learning algorithm. The innovative aspect of this study lies in the real-time processing of sensor data to deliver daily mortality risk predictions, allowing for immediate adjustments to management practices. This study integrates water quality parameters (seawater temperature, salinity, conductivity, chlorophyll-a, turbidity, and dissolved oxygen) monitored through a sensor network, with daily fish mortality records input by farmers. The Random Forest model predicted fish mortality risk across five levels with an overall accuracy of 78.6 % and precision exceeding 70 % for each level. The model's feature importance analysis highlights seawater temperature, salinity, and turbidity as key predictors of fish mortality risk. This system supports fish farmers and site managers in daily operational decision making, particularly regarding feed and labor management. Future improvements in data collection and continuous model updates are expected to enhance the accuracy and utility of the Decision Support System in mariculture management.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102621"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997566","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}

引用次数: 0

Integrating high-resolution telemetry and stable isotope analysis to link behavior, diet, and growth in pond-reared carp 整合高分辨率遥测和稳定同位素分析，以联系池塘养殖鲤鱼的行为，饮食和生长

IF 4.3 2区农林科学

Aquacultural Engineering Pub Date : 2026-01-15 Epub Date: 2025-10-03 DOI: 10.1016/j.aquaeng.2025.102641

Milan Říha , Rubén Rabaneda-Bueno , Marie Prchalová , Lenka Kajgrová , Travis B. Meador , Martin Bláha , Vladislav Draštík , Luboš Kočvara , Irina Kuklina , Lukáš Veselý

{"title":"Integrating high-resolution telemetry and stable isotope analysis to link behavior, diet, and growth in pond-reared carp","authors":"Milan Říha , Rubén Rabaneda-Bueno , Marie Prchalová , Lenka Kajgrová , Travis B. Meador , Martin Bláha , Vladislav Draštík , Luboš Kočvara , Irina Kuklina , Lukáš Veselý","doi":"10.1016/j.aquaeng.2025.102641","DOIUrl":"10.1016/j.aquaeng.2025.102641","url":null,"abstract":"<div><div>The common carp (<em>Cyprinus carpio</em>) is an important species in freshwater aquaculture and optimizing its production in pond systems requires a detailed understanding of behavior in response to environmental and management factors. In this study, we combined high-resolution acoustic telemetry, stable isotope analysis, and direct sampling of natural food availability to investigate carp activity, space use, diet composition, and growth over two growing seasons (2022–2023) in a semi-intensive aquaculture pond. Telemetry provided fine-scale spatiotemporal data on fish movement and habitat use, while isotope analysis revealed integrated dietary contributions of natural and supplementary food sources. Natural prey sampling enabled us to link observed behavior with resource dynamics. Carp activity peaked in spring and during twilight or nighttime, and shallow areas (<0.5 m) were used preferentially in summer. Feeding ground use declined over days following feeding events and varied markedly among individuals, influencing supplementary food intake and growth. In 2022, a flood brought in ∼13,900 small carp, increasing fish density, intensifying competition, reducing prey availability, and ultimately lowering growth compared to 2023. Our findings highlight the value of combining behavioral, dietary, and environmental monitoring in pond aquaculture systems. This approach enabled us to uncover mechanisms behind individual variation in performance and to formulate practical recommendations for management. These include aligning feeding schedules with diel activity, using multiple feeding sites to mitigate competition, and adjusting feed inputs based on natural food availability, all of which can enhance production efficiency and sustainability.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102641"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217598","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}

引用次数: 0