Hasil untuk "Aquaculture. Fisheries. Angling"

Bilel Hassen

Samíria Bárbara Brito Pereira, Nathalya Sousa Oliveira, Fábio Herrera Fernandes et al.

Arapaima gigas is the largest scaled freshwater fish in the world and can grow to more than 3 meters in length and exceed 252 kg. This species naturally inhabits the flooded areas of the Amazon basin, but it has been found outside this region as a result of intentional or accidental human actions. In this study, we analyzed the items consumed by the A. gigas distributed in the Cautário River, a tributary of the Guaporé River Basin (Rondônia, Brazil), in which pirarucu is not native and requires actions for its eradication. Experimental fisheries were conducted from August 2023 to September 2024. A total of 128 A. gigas were captured (ranging from 1.16 to 2.26 m, with a mean of 1.76 ± 0.31 m, and weight of 24.70 to 111.60 kg, with a mean of 52.37 ± 22.54 kg) and had their stomachs analyzed. It was observed that 104 stomachs were full and 24 were empty. In the stomachs, five categories of food items were classified: fish and fish remains, plant material, debris, crustaceans, and worms. The items with the highest absolute frequency were plant materials (82), fish and fish remain (51), worms (32), and crustaceans (1). It was concluded that the A. gigas of the Cautário River Basin feed mainly on fish, but with a large participation in the diet of plant materials, which may be an indication of involuntary ingestion due to the animal’s voracity or possible onset of food shortages in the study region.

Hidekazu Yoshioka, Yumi Yoshioka, Motoh Tsujimura et al.

This paper proposes a novel modelling and control framework for growth models that incorporate a size spectrum in conjunction with numerical computation and extensive field surveys. In fisheries management, the size spectrum, characterized by individual differences in body weight and length, is a critical factor, as it influences the physiology and ecology of fish, as well as the preferences of anglers. However, a comprehensive theoretical framework for fisheries modelling and management that accounts for the size spectrum has yet to be established. We apply a growth model that considers the size spectrum to Plecoglossus altivelis altivelis (Ayu), an important inland fisheries resource in Japan. Additionally, we introduce a novel stochastic control theory for the resource management of Ayu, taking its size spectrum into account. The growth model is calibrated using data collected annually from a river system in Japan. Our control problem addresses the size spectrum of fishing benefits and terminal utility (nonlinear expectation) for sustainability, resulting in a nonstandard problem to which the dynamic programming principle does not apply. We address this difficulty using a time-inconsistent formalism, where solving the control problem is reduced to finding an appropriate solution to a system of nonlinear partial differential equations. We numerically compute the system using the finite difference method and explore the fisheries management of Ayu at the study site.

Einar Ringø

Penglong Li, Haibin Han, Shengmao Zhang et al.

E. H. Eissa, A. Gaafar, R. T. Mathew et al.

Alistair J. Hobday, L. Little, James R. Watson et al.

Ensuring resilience and adaptability of the seafood sector in the face of accelerating climate change involves risk management and risk reduction. In a world where climate patterns are rapidly evolving, innovative financial instruments have a role to play in managing environmental risks and reducing exposure to these risks through climate adaptation. Here, we consider the application of parametric insurance—when a predetermined amount is paid out based on parameters chosen based on expected losses associated with extreme events. We offer insights into its utility, implementation, and limitations. We emphasise the role of ocean forecasting in developing and pricing parametric insurance products to help mitigate and adapt to climate-related risks in aquaculture and fisheries. Forecasting is essential for anticipating changing environmental conditions at a range of spatial and temporal scales and thus informing decision-making regarding resource allocation and adaptation strategies. Through both climate-aware insurance policy design and the provision of education, capacity-building programs, and financial support for industry transition, parametric insurance has the potential to help seafood producers navigate the challenges posed by climate change. Use of parametric insurance can facilitate a managed retreat from vulnerable or non-viable areas to more sustainable alternatives or livelihoods by reducing climate risk in a measured environment. This approach can also contribute to the long-term resilience of seafood industries and coastal communities while protecting the health of marine ecosystems.

Prasanna Surathkal, B. H. Nagoor, Gunakara Surathkal et al.

Abstract Fish is probably the only major food product in the modern human food system for which wild harvests are still important in the market supply despite the rapid growth in production of farmed fish/aquaculture. The issue of substitution, or competitive interaction, between capture fisheries and aquaculture is of immense interest due to its role in determining market prices, livelihoods, and welfare in the two sectors. This is particularly true for a developing country like India where fisheries and aquaculture play an important role in livelihood creation, export revenues, and food security. India has also witnessed a remarkable increase in inland aquaculture production which is now the largest contributor to the country’s total fish production. In this article, we employ recursive cointegration analysis and time-varying copula estimations to analyze a novel dataset to describe the evolution in the relationship between the prices of inland capture fisheries and aquaculture products in India over time. Our results suggest an increased degree of market integration for inland fish products in India over time, though the degree of integration is lower for the capture fisheries products compared to the aquaculture products.

M. Alsaleh, A. Abdul-Rahim

Ocean-sourced foods are essential for providing food security, putting an end to starvation, and building healthy, environmentally friendly, and resilient food systems. Still, it is important to keep these in mind while discussing food. More money was made for developing countries by exporting blue foods than by exporting any other agricultural products combined. The European Union Region (EU27) has countries with diverse economic structures, from highly developed industrial economies in older members to those in Central and Eastern Europe still catching up. Splitting them allows for in-depth study of economic structures, models, and growth mechanisms, and can inform targeted policy recommendations for growth and convergence. The core objective of this study is to analyse how aquaculture and fisheries production impact food security in the EU2 members based on their economic structure development; European Union Developing State (EU13) and European Union Developed State (EU14) countries from 1990 to 2023. To address potential endogeneity issues, robust least squares (RLS), two-stage least squares (2SLS), and ordinary least squares (OLS) estimators were employed, leading to significant findings. The findings confirm the existing knowledge and indicate that the role of aquaculture and fisheries production in ensuring food security is more pronounced in developing EU13 countries compared to wealthier EU14 countries. Aligning with existing knowledge, the analysis reveals that factors such as gross domestic product (GDP) and governance play a more crucial role in ensuring sustainable food security in developing EU13 countries relative to their wealthier EU14 counterparts. The reliance on fossil fuels has a more pronounced impact on food insecurity in developed EU14 nations compared to developing EU13 countries. This study suggests that policymakers in the EU14 developed countries provide policies targeted at promoting the growth of aquaculture production and fisheries production top priority based on the research conclusions. Additionally, this study suggests that policymakers in the industrialized EU14 countries improve governance, aquaculture economics, fisheries economics, and the efficiency of fossil fuel usage.

A. Imbert, Stéphanie Boulêtreau, J. Beisel et al.

Recreational anglers use ground baiting to attract fish and increase catch inputs organic matter that can have important effects on water quality by increasing eutrophication. However, nutrient inputs from angling bait by recreational fisheries have not yet been estimated. We quantified nutrient inputs from angling baits in small lakes supporting specialized carp, put‐and‐take, and specialized roach recreational fisheries with a 2‐year field survey of angling activity and in‐person angler questionnaires. Angling activity was highly variable among recreational fisheries and averaged 82 (±74 SD) angler‐day/ha/year in lakes with specialized carp fisheries, 145 (±80) in lakes with put‐and‐take fisheries, and 36 (±18) in lakes with specialized roach fisheries. Angling activity also differed temporally among recreational fisheries, with high angling activity in spring and summer for specialized carp and specialized roach fisheries, and in autumn and winter for put‐and‐take fisheries. The type and amount of baits used by anglers strongly differed among recreational fisheries, with specialized carp anglers using boilies (2.5 ± 1.5 SD kg/angler/day) and seeds (2.1 ± 1.9 kg/angler/day), put‐and‐take anglers using exclusively pellets (0.39 ± 0.15 kg/angler/day), and specialized roach anglers using ground baits (0.72 ± 0.36 kg/angler/day). Nutrient inputs from angling baits were highly variable among recreational fisheries and ranged from 0.5 (±0.2 SD) kg/ha/year of nitrogen and 0.1 (±0.0) kg/ha/year of phosphorus in specialized roach fisheries to 10.2 (±9.3) kg/ha/year of nitrogen and 1.6 (±1.5) kg/ha/year of phosphorus in specialized carp fisheries. Our findings revealed that ecological consequences of ground baiting differed among recreational fisheries, which should be useful for developing fishery‐specific regulations to efficiently manage ground baiting.

Sveinung Johan Ohrem, Bent Haugaløkken, Eleni Kelasidi

This paper presents a dataset gathered with an underwater robot in a sea-based aquaculture setting. Data was gathered from an operational fish farm and includes data from sensors such as the Waterlinked A50 DVL, the Nortek Nucleus 1000 DVL, Sonardyne Micro Ranger 2 USBL, Sonoptix Mulitbeam Sonar, mono and stereo cameras, and vehicle sensor data such as power usage, IMU, pressure, temperature, and more. Data acquisition is performed during both manual and autonomous traversal of the net pen structure. The collected vision data is of undamaged nets with some fish and marine growth presence, and it is expected that both the research community and the aquaculture industry will benefit greatly from the utilization of the proposed SOLAQUA dataset.

Waseem Akram, Muhayy Ud Din, Lyes Saad Soud et al.

Generative Artificial Intelligence (GAI) has rapidly emerged as a transformative force in aquaculture, enabling intelligent synthesis of multimodal data, including text, images, audio, and simulation outputs for smarter, more adaptive decision-making. As the aquaculture industry shifts toward data-driven, automation and digital integration operations under the Aquaculture 4.0 paradigm, GAI models offer novel opportunities across environmental monitoring, robotics, disease diagnostics, infrastructure planning, reporting, and market analysis. This review presents the first comprehensive synthesis of GAI applications in aquaculture, encompassing foundational architectures (e.g., diffusion models, transformers, and retrieval augmented generation), experimental systems, pilot deployments, and real-world use cases. We highlight GAI's growing role in enabling underwater perception, digital twin modeling, and autonomous planning for remotely operated vehicle (ROV) missions. We also provide an updated application taxonomy that spans sensing, control, optimization, communication, and regulatory compliance. Beyond technical capabilities, we analyze key limitations, including limited data availability, real-time performance constraints, trust and explainability, environmental costs, and regulatory uncertainty. This review positions GAI not merely as a tool but as a critical enabler of smart, resilient, and environmentally aligned aquaculture systems.

Waseem Akram, Muhayy Ud Din, Abdelhaleem Saad et al.

Inspection of aquaculture net pens is essential for maintaining the structural integrity, biosecurity, and operational efficiency of fish farming systems. Traditional inspection approaches rely on pre-programmed missions or manual control, offering limited adaptability to dynamic underwater conditions and user-specific demands. In this study, we propose AquaChat, a novel Remotely Operated Vehicle (ROV) framework that integrates Large Language Models (LLMs) for intelligent and adaptive net pen inspection. The system features a multi-layered architecture: (1) a high-level planning layer that interprets natural language user commands using an LLM to generate symbolic task plans; (2) a mid-level task manager that translates plans into ROV control sequences; and (3) a low-level motion control layer that executes navigation and inspection tasks with precision. Real-time feedback and event-triggered replanning enhance robustness in challenging aquaculture environments. The framework is validated through experiments in both simulated and controlled aquatic environments representative of aquaculture net pens. Results demonstrate improved task flexibility, inspection accuracy, and operational efficiency. AquaChat illustrates the potential of integrating language-based AI with marine robotics to enable intelligent, user-interactive inspection systems for sustainable aquaculture operations.

Youssef Sabiri, Walid Houmaidi, Ouail El Maadi et al.

Smart aquaculture systems depend on rich environmental data streams to protect fish welfare, optimize feeding, and reduce energy use. Yet public datasets that describe the air surrounding indoor tanks remain scarce, limiting the development of forecasting and anomaly-detection tools that couple head-space conditions with water-quality dynamics. We therefore introduce AQUAIR, an open-access public dataset that logs six Indoor Environmental Quality (IEQ) variables--air temperature, relative humidity, carbon dioxide, total volatile organic compounds, PM2.5 and PM10--inside a fish aquaculture facility in Amghass, Azrou, Morocco. A single Awair HOME monitor sampled every five minutes from 14 October 2024 to 9 January 2025, producing more than 23,000 time-stamped observations that are fully quality-controlled and publicly archived on Figshare. We describe the sensor placement, ISO-compliant mounting height, calibration checks against reference instruments, and an open-source processing pipeline that normalizes timestamps, interpolates short gaps, and exports analysis-ready tables. Exploratory statistics show stable conditions (median CO2 = 758 ppm; PM2.5 = 12 micrograms/m3) with pronounced feeding-time peaks, offering rich structure for short-horizon forecasting, event detection, and sensor drift studies. AQUAIR thus fills a critical gap in smart aquaculture informatics and provides a reproducible benchmark for data-centric machine learning curricula and environmental sensing research focused on head-space dynamics in recirculating aquaculture systems.

Sonja Radosavljevic, Ezio Venturino, Francesca Acotto et al.

Aquaculture has been the fastest growing food production sector globally due to its potential to improve food security, stimulate economic growth, and reduce poverty. Its rapid development has been linked to sustainability challenges, many of which are still unresolved and poorly understood. Small-scale producers account for an increasing fraction of aquacultural output. At the same time, many of these producers experience poverty, food insecurity, and rely on unimproved production practices. We develop a stylized mathematical model to explore the effects of ecological, social, and economic factors on the dynamics of a small-scale pond aquaculture system. Using analytical and numerical methods, we explore the stability, asymptotic dynamics, and bifurcations of the model. Depending on the characteristics of the system, the model exhibits one of three distinct configurations: monostability with a global poverty trap in a nutrient-dominated or fish-dominated system; bistability with poverty trap and well-being attractors; multistability with poverty trap and two well-being attractors with different characteristics. The model results show that intensification can be sustainable only if it takes into account the local social-ecological context. In addition, the heterogeneity of small-scale aquaculture producers matters, as the effects of intensification can be unevenly distributed among them. Finally, more is not always better because too high nutrient input or productivity can lead to a suboptimal attractor or system collapse.

Hussein Aliu Sule, Abdulwakil Olawale Saba, Choo Yee Yu

Aquaculture is pivotal for global food security but faces significant challenges from infectious diseases, particularly those caused by Streptococcus species such as Streptococcus iniae and Streptococcus agalactiae. These pathogens induce severe systemic infections in various fish species, resulting in high morbidity and mortality rates. This review consolidates current knowledge on the epidemiology, pathogenesis, and clinical manifestations of these infections in fish and provides a comprehensive analysis of multifaceted control and prebention strategies. Advancements in genetic engineering and selective breeding are highlighted, demonstrating significant potential in developing disease-resistant fish strains through technologies like CRISPR-Cas9 and genomic selection. We examine the impact of farming practices on disease prevalence, emphasizing the roles of stocking density, feeding regimes, and biosecurity measures. The integration of big data analytics and IoT technologies is shown to revolutionize disease monitoring and management, enabling real-time surveillance and predictive modeling for timely interventions. Progress in vaccine development, including subunit, DNA, and recombinant protein vaccines, highlights the importance of tailored immunoprophylactic strategies. Furthermore, this review emphasizes the One-Health approach and the essential collaboration among industry, academia, and government to address the interconnected health of humans, animals, and the environment. This holistic strategy, supported by advanced technologies and collaborative efforts, promises to enhance the sustainability and productivity of aquaculture systems. Future research directions advocate for continued innovation and interdisciplinary partnerships to overcome the persistent challenges of streptococcal infections in aquaculture.

Abdelhaleem Saad, Waseem Akram, Irfan Hussain

Inspection of aquaculture net pens is essential for ensuring the structural integrity and sustainable operation of offshore fish farming systems. Traditional methods, typically based on manually operated or single-ROV systems, offer limited adaptability to real-time constraints such as energy consumption, hardware faults, and dynamic underwater conditions. This paper introduces AquaChat++, a novel multi-ROV inspection framework that uses Large Language Models (LLMs) to enable adaptive mission planning, coordinated task execution, and fault-tolerant control in complex aquaculture environments. The proposed system consists of a two-layered architecture. The high-level plan generation layer employs an LLM, such as ChatGPT-4, to translate natural language user commands into symbolic, multi-agent inspection plans. A task manager dynamically allocates and schedules actions among ROVs based on their real-time status and operational constraints, including thruster faults and battery levels. The low-level control layer ensures accurate trajectory tracking and integrates thruster fault detection and compensation mechanisms. By incorporating real-time feedback and event-triggered replanning, AquaChat++ enhances system robustness and operational efficiency. Simulated experiments in a physics-based aquaculture environment demonstrate improved inspection coverage, energy-efficient behavior, and resilience to actuator failures. These findings highlight the potential of LLM-driven frameworks to support scalable, intelligent, and autonomous underwater robotic operations within the aquaculture sector.

Dengyue Yuan, Junting Li, Siya Wang et al.

Body color is one of the most noticeable phenotypic and economic characteristics in fish. Fish exhibit a diverse array of body color mutations influenced by factors such as artificial selection and natural mutations. Elucidating the genetic mechanisms of these color variants in fish is crucial for developing new breeds with higher ornamental value. In this study, we identified a nonsense mutation in csf1ra (c. 1249 C>T) with whole genome resequencing technology, and which may potentially contribute to the albino phenotype in Channa asiatica. The albino individuals exhibited a substantial decrease in the expression level of csf1ra compared to that of the wild individuals. To unravel the underlying mechanism of csf1ra, we delved into comparative transcriptomic and gene expression analyses. Our findings suggest that csf1ra may impact tyrosine kinase activity. Furthermore, csf1ra may not only regulate the expression levels of genes (sox9, ephb6, and wnt9) involved in melanin-based pigmentation but also influence genes (ampd3, ak1, and bco1) associated with non-melanin-based pigmentation. Our study investigated the genetic basis of the albino mutant of C. asiatica and provided new insights into the function of csf1ra in fish pigmentation.

Hendra Hendra, Widodo Setiyo Pranowo, Choirul Umam et al.

The Malacca Strait is a strategic waterway for Indonesia as it serves as an international shipping route connecting East Asia with the Middle East and Europe. In addition, the Malacca Strait also has great potential for natural resources, such as oil and gas as well as fish and other marine products. This study aims to describe the Thermocline Layer in the Malacca Strait based on Marine Copernicus Data in 2020 with a depth of up to 1000 meters. The temperature data was visualized using ODV 5.5.2 software. The results of processing the Marine Copernicus Temperature Data in 2020 in the Malacca Strait with a depth of up to 1000 meters show that the thermocline boundary varies each season. In the western season, the thermocline boundary is at a depth between 11 meters to 131 meters, in the first transitional season, it is at a depth between 22 meters to 131 meters, in the eastern season, it is at a depth between 56 meters to 156 meters, and in the second transitional season, it is at a depth between 78 meters to 131 meters.   Bagian Selat Malaka adalah perairan yang strategis bagi Indonesia karena menjadi jalur pelayaran internasional yang menghubungkan Asia Timur dengan Timur Tengah dan Eropa. Selain itu, Selat Malaka juga memiliki potensi sumber daya alam yang besar, seperti minyak dan gas bumi serta ikan dan hasil laut lainnya. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis Lapisan Termoklin di Perairan Selat Malaka berdasarkan Data Marine Copernicus tahun 2020 dengan kedalaman sampai 1000 meter. Data Temperatur diolah dan dianalisis menggunakan software ODV 5.5.2. Hasil pengolahan Data Temperatur Marine Copernicus tahun 2020 di Perairan Selat Malaka dengan kedalaman mencapai 1000 meter dengan batas termoklin setiap musim dimana pada Musim barat batas termoklin berada pada kedalaman antara 11 meter sampai dengan 131 meter, Musim Peralihan I batas termoklin berada pada kedalaman antara 22 meter sampai dengan 131 meter, Musim Timur batas termoklin berada peda kedalaman antara 56 meter sampai dengan 156 meter dan Musim Peralihan II batas termoklin berada pada kedalaman antara 78 meter sampai dengan 131 meter.