Do climate change, access to electricity and renewable energy consumption matter in aquaculture production in Africa? DOI
Jane Munonye, Robert Ugochukwu Onyeneke, Daniel Adu Ankrah

et al.

Natural Resources Forum, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 18, 2024

Abstract The contribution of aquaculture to economic development cannot be overemphasized. Several factors affect production. However, few studies document the impact climate change, electricity and other macroeconomic covariates on production in Africa. present research's objective is examine rainfall, temperature, access electricity, per capita national income, renewable energy consumption, employment agriculture, carbon emissions 32 African countries. We rely panel data using rigorous estimation techniques involving fixed effects method moment quantile regression approaches. Our model result indicates that an increase temperature reduces production, while net Similarly, 75th 90th quantiles results indicated both rainfall decrease study provides useful insight into climate, economic, technological might or Africa similar contexts. Overall, our findings are important for improving Africa, particularly with current low relative global north. have implications future action calls increased reliance targeting improvements agricultural employment, income. Additional efforts needed achieve neutrality ensuring sustainable

Language: Английский

Recent advances in the utilization of insects as an ingredient in aquafeeds: A review DOI
Sahya Maulu, Sandra Langi, Oliver J. Hasimuna

et al.

Animal nutrition, Journal Year: 2022, Volume and Issue: 11, P. 334 - 349

Published: Aug. 8, 2022

Language: Английский

Citations

71
Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand DOI Creative Commons
Mohd Ashraf Rather, Ishtiyaq Ahmad,

Azra Shah

et al.

Food Chemistry X, Journal Year: 2024, Volume and Issue: 22, P. 101309 - 101309

Published: March 19, 2024

The increasing global population drives a rising demand for food, particularly fish as preferred protein source, straining capture fisheries. Overfishing has depleted wild stocks, emphasizing the need advanced aquaculture technologies. Unlike agriculture, not seen substantial technological advancements. Artificial Intelligence (AI) tools like Internet of Things (IoT), machine learning, cameras, and algorithms offer solutions to reduce human intervention, enhance productivity, monitor health, feed optimization, water resource management. However, challenges such data collection, standardization, model accuracy, interpretability, integration with existing systems persist. This review explores adoption AI techniques advance industry bridge gap between food supply demand.

Language: Английский

Citations

29
Water Quality Impact on Fish Behavior: A Review From an Aquaculture Perspective DOI
Kaisheng Zhang, Zhangying Ye, Ming Qi

et al.

Reviews in Aquaculture, Journal Year: 2024, Volume and Issue: 17(1)

Published: Nov. 6, 2024

ABSTRACT Changes in water quality significantly shape fish behavior, a crucial index reflecting the growth and welfare status of fish. Given centrality this relationship to aquaculture practices, comprehensive understanding how dynamics influence behavior is imperative. While there have been some summaries effects parameters on physiology growth, few reviews their reported yet. This article several which are great concern from multiple facets actual production, including physical (water temperature turbidity), chemical (dissolved oxygen, salinity, pH, inorganic nitrogen), pollutants (microplastics crude oil), gained increasing attention researchers practitioners over past decades. Variations these can exert profound physiology, metabolism, internal tissues organs, sensory perception, influences behaviors such as swimming, schooling, feeding, predation, anti‐predation, aggression, courtship, well adaptive stress‐related exploration, avoidance response, anxiety‐like behavior. By synthesizing behavioral changes caused by specific parameters, review aims provide strong support for further quality‐related research, thereby fostering environments conducive both productivity.

Language: Английский

Citations

24
The effects of mixed prebiotics in aquaculture: A review DOI Creative Commons
Wendy Wee, Noor Khalidah Abdul Hamid, Khairiyah Mat

et al.

Aquaculture and Fisheries, Journal Year: 2022, Volume and Issue: 9(1), P. 28 - 34

Published: March 25, 2022

Aquaculture industry contributes significant aquaculture species production to meet fish protein demand from the world. The is gearing towards intensification increase more in near future. Various technologies and efforts were introduced into bring it up next higher level. However, development of hindered by disease constraint. As a result, excessive use antibiotics chemicals applied reduce or minimize risk outbreak farming activity. Subsequently, aquacultures products environment highly exposed these chemicals. To resolve this issue, farmers encouraged utilize alternative method health management. Prebiotics has become new approach maintain good at same time produce chemical antibiotic-free product. In review paper, we summarize discuss effects prebiotic mixtures administration on growth performance, immune response, resistance, tolerance against abiotic stressors aquatic animals.

Language: Английский

Citations

54
Differentiated agricultural sensitivity and adaptability to rising temperatures across regions and sectors in China DOI
Xiaoguang Chen, Xiaomeng Cui, Jing Gao

et al.

Journal of Environmental Economics and Management, Journal Year: 2023, Volume and Issue: 119, P. 102801 - 102801

Published: March 2, 2023

Language: Английский

Citations

37
Owalla Reservoir in South-western Nigeria: Assessment of Fish Distribution, Biological Diversity, and Water Quality Index DOI Creative Commons
Adams Ovie Iyiola, Sylvester Chibueze Izah, Sonia Morya

et al.

Indonesian Journal of Agricultural Research, Journal Year: 2023, Volume and Issue: 6(2), P. 106 - 125

Published: Dec. 12, 2023

The Water Quality Index (WQI) was used to evaluate the ecological health and status of Owalla Reservoir implications on fish species distribution biological diversity reservoir. quality were collected from three sampling zones (A, B, C) September 2019 August 2020 indices such as dominance, Shannon-Weiner, Evenness, Brillouin, Menhinick, Margalef, Equitability, Fishers index calculated. mean values measured for temperature (25.9 ± 0.48 oC), dissolved oxygen (4.14 0.10 mg/L), pH (7.0 0.01), nitrate (0.68 0.25 mg/L) within recommended range; while ammonia (0.13 0.20 nitrite (0.14 0.21 high above limits. WQI highest in zone A (155.97) with an overall value 152.73 Zone recorded relative abundance (49.95%) more diversified than other zones. In terms biodiversity indices, had richness (9), number individuals (136), Shannon (1.84), Brillouin (1.62) values. Zones B C Dominance (1.0), Evenness (1.0). Simpson (0.83); Menhinick (1.58), Fisher_alpha (3.98) Margalef (2.0), Equitability (0.99) indices. elevated levels WQI, ammonia, pose a danger watershed systems. It is important maintain water by ensuring best human practices averting inappropriate wastes well sewage disposal agricultural activities. These should be checked sustainability species.

Language: Английский

Citations

34
HDTO-DeepAR: A novel hybrid approach to forecast surface water quality indicators DOI Creative Commons
Rosysmita Bikram Singh, Kanhu Charan Patra, Biswajeet Pradhan

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 352, P. 120091 - 120091

Published: Jan. 15, 2024

Water is a vital resource supporting broad spectrum of ecosystems and human activities. The quality river water has declined in recent years due to the discharge hazardous materials toxins. Deep learning machine have gained significant attention for analysing time-series data. However, these methods often suffer from high complexity forecasting errors, primarily non-linear datasets hyperparameter settings. To address challenges, we developed an innovative HDTO-DeepAR approach predicting indicators. This proposed compared with standalone algorithms, including DeepAR, BiLSTM, GRU XGBoost, using performance metrics such as MAE, MSE, MAPE, NSE. NSE hybrid ranges between 0.8 0.96. Given value's proximity 1, model appears be efficient. PICP values (ranging 95% 98%) indicate that highly reliable Experimental results reveal close resemblance model's predictions actual values, providing valuable insights future trends. comparative study shows suggested surpasses all existing, well-known models.

Language: Английский

Citations

12
Chicken egg lysozyme enhanced the growth performance, feed utilization, upregulated immune-related genes, and mitigated the impacts of Aeromonas hydrophila infection in Nile tilapia (Oreochromis niloticus) DOI
Mahmoud A.O. Dawood, Safaa E. Abdo, Seham El‐Kassas

et al.

Fish & Shellfish Immunology, Journal Year: 2024, Volume and Issue: unknown, P. 109377 - 109377

Published: Jan. 1, 2024

Language: Английский

Citations

11
Infection dynamics of Shewanella spp. in Nile tilapia under varied water temperatures: A hematological, biochemical, antioxidant-immune analysis, and histopathological alterations DOI
Rasha M. Reda,

Abdelhakeem El‐Murr,

Nehal A. Abdel-Basset

et al.

Fish & Shellfish Immunology, Journal Year: 2024, Volume and Issue: 149, P. 109588 - 109588

Published: April 26, 2024

Language: Английский

Citations

9
Global assessment of production benefits and risk reduction in agroforestry during extreme weather events under climate change scenarios DOI Creative Commons
Sneha Dobhal,

Raj Kishore Kumar,

Ajay Kumar Bhardwaj

et al.

Frontiers in Forests and Global Change, Journal Year: 2024, Volume and Issue: 7

Published: July 31, 2024

Climate change and extreme weather events are threatening agricultural production worldwide. The anticipated increase in atmospheric temperature may reduce the potential yield of cultivated crops. Agroforestry is regarded as a climate-resilient system that profitable, sustainable, adaptable, has strong to sequester carbon. practices enhance agroecosystems’ resilience against adverse conditions via moderating fluctuations, provisioning buffers during heavy rainfall events, mitigating drought periods, safeguarding land resources from cyclones tsunamis-type events. Therefore, it was essential comprehensively analyze discuss role agroforestry providing situations. We hypothesized integrating trees agro-ecosystems could crops available literature showed over-story tree shade moderates severe (2–4°C) effects on understory crops, particularly wheat coffee-based well forage livestock-based silvipasture systems. Studies have shown intense rainstorms can harm (40–70%) cause waterlogging. farmlands with been reported be more resilient because decrease runoff (20–50%) soil water infiltration. also suggested drought-induced low damages many but improve microclimate maintain crop by shade, windshield, prolonged moisture retention. meta-analysis revealed shelterbelts mitigate high wind speeds associated tsunamis creating vegetation bio-shield along coastlines. In general, existing indicates implementing designing increases agronomic increasing 5–15%. Moreover, despite its widely recognized advantages terms weather, systematic documentation currently insufficient global scale. Consequently, we provide synthesis data analysis draw reasonable conclusions aid development suitable strategies achieve worldwide goal adapting impacts climate change.

Language: Английский

Citations

9