Benthic environmental impact of deep sea cage and traditional cage fish mariculture in Yellow Sea, China

2021 ◽  
Author(s):  
Yunxia Zhao ◽  
Jihong Zhang ◽  
Dapeng Qu ◽  
Yanyun Yang ◽  
Wenguang Wu ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Yellow Sea ◽  
Deep Sea ◽  
Sea Cage ◽  
Cage Fish

Numerical assessment of the environmental impacts of deep sea cage culture in the Yellow Sea, China

2020 ◽  
Vol 706 ◽  
pp. 135752 ◽  
Author(s):  
Yunxia Zhao ◽  
Jihong Zhang ◽  
Yi Liu ◽  
Ke Sun ◽  
Cong Zhang ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Yellow Sea ◽  
Deep Sea ◽  
The Yellow Sea ◽  
Cage Culture ◽  
Numerical Assessment ◽  
Sea Cage

Analysis of Environmental Impact of Deep Sea Development of Mineral Deposits

2019 ◽  
Vol 145 (3/2019) ◽  
pp. 92-97
Author(s):  
Yu.V. Kirichenko ◽  
A.S. Kashirskiy ◽  
G.S. Ivaschenko
Keyword(s):  
Environmental Impact ◽  
Deep Sea ◽  
Mineral Deposits

scholarly journals Effect of production quotas on economic and environmental values of growth rate and feed efficiency in sea cage fish farming

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173131 ◽  
Author(s):  
M. Besson ◽  
I. J. M. de Boer ◽  
M. Vandeputte ◽  
J. A. M. van Arendonk ◽  
E. Quillet ◽  
...  
Keyword(s):  
Growth Rate ◽  
Feed Efficiency ◽  
Fish Farming ◽  
Environmental Values ◽  
Sea Cage ◽  
Cage Fish

scholarly journals Complete Genome Sequence ofPhotobacterium damselaeSubsp.damselaeStrain SSPD1601 Isolated from Deep-Sea Cage-CulturedSebastes schlegeliiwith Septic Skin Ulcer

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Yongxiang Yu ◽  
Zheng Zhang ◽  
Yingeng Wang ◽  
Meijie Liao ◽  
Xiaojun Rong ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Deep Sea ◽  
Clinical Symptoms ◽  
Antibiotic Resistance Genes ◽  
Aquatic Organisms ◽  
Skin Ulcer ◽  
Rrna Genes ◽  
Trna Genes ◽  
Photobacterium Damselae ◽  
Sea Cage

Photobacterium damselaesubsp.damselae(PDD) is a Gram-negative bacterium that can infect a variety of aquatic organisms and humans. Based on an epidemiological investigation conducted over the past 3 years, PDD is one of the most important pathogens causing septic skin ulcer in deep-sea cage-culturedSebastes schlegeliiin the Huang-Bohai Sea area and present throughout the year with high abundance. To further understand the pathogenicity of this species, the pathogenic properties and genome of PDD strain SSPD1601 were analyzed. The results revealed that PDD strain SSPD1601 is a rod-shaped cell with a single polar flagellum, and the clinical symptoms were replicated during artificial infection. The SSPD1601 genome consists of two chromosomes and two plasmids, totaling 4,252,294 bp with 3,751 coding sequences (CDSs), 196 tRNA genes, and 47 rRNA genes. Common virulence factors including flagellin,Fur,RstB,hcpA, OMPs,htpB-Hsp60,VasK, andvgrGwere found in strain SSPD1601. Furthermore, SSPD1601 is a pPHDD1-negative strain containing the hemolysin genehlyAchand three putative hemolysins (emrA, yoaF, and VPA0226), which are likely responsible for the pathogenicity of SSPD1601. The phylogenetic analysis revealed SSPD1601 to be most closely related to Phdp Wu-1. In addition, the antibiotic resistance phenotype indicated that SSPD1601 was not sensitive to ceftazidime, pipemidic, streptomycin, cefalexin, bacitracin, cefoperazone sodium, acetylspiramycin, clarithromycin, amikacin, gentamycin, kanamycin, oxacillin, ampicillin, and trimethoprim-sulfamethoxazole, but only the bacitracin resistance genebacAwas detected based on Antibiotic Resistance Genes Database. These results expand our understanding of PDD, setting the stage for further studies of its pathogenesis and disease prevention.

A Ballast System for Automated Deep-Sea Ascents

2016 ◽  
Author(s):  
Matthias Golz ◽  
Florin Boeck ◽  
Sebastian Ritz ◽  
Gerd Holbach
Keyword(s):  
Environmental Impact ◽  
Environmental Contamination ◽  
Pressure Vessel ◽  
Deep Sea ◽  
Underwater Vehicles ◽  
Compressed Air ◽  
Hydraulic Pump ◽  
Unmanned Underwater Vehicles ◽  
The Past ◽  
Set Up

The efforts to discover the world’s oceans — even in extremely deep-sea environments — have grown more and more in the past years. In this context, unmanned underwater vehicles play a central role. Underwater systems that are not tethered need to provide an apparatus to ensure a safe return to the surface. Therefore, positive buoyancy is required and can be achieved by either losing weight or expanding volume. A conservative method is the dropping of ballast weight. However, nowadays this method is not appropriate due to the environmental impact. This paper presents a ballast system for an automated ascent of a deep-sea seabed station in up to 6000 m depth. The ballast system uses a DC motor driven modified hydraulic pump and a compressed air auxiliary system inside a pressure vessel. With regard to the environmental contamination in case of a leakage, only water is used as ballast fluid. The modification of an ordinary oil-hydraulic radial piston pump and the set-up of the ballast system is introduced. Results from sea trials in the Atlantic Ocean are presented to verify the functionality of the ballast system.

Influence of some physico-chemical variables on wild fish richness beneath sea-cage fish farms in the Aegean Sea, Turkey

2020 ◽  
Vol 100 (7) ◽  
pp. 1171-1179
Author(s):  
Okan Akyol ◽  
Aytaç Özgül ◽  
F. Ozan Düzbastılar ◽  
Halil Şen ◽  
José M. Ortiz de Urbina ◽  
...  
Keyword(s):  
Species Richness ◽  
Fish Species ◽  
Fish Assemblages ◽  
Wild Fish ◽  
Light Transmittance ◽  
Fish Farms ◽  
Physico Chemical ◽  
Sea Cage ◽  
The Relationship ◽  
Cage Fish

AbstractThis study aims to determine the relationship between physico-chemical variables on a seasonal basis and wild fish assemblages beneath sea-cage fish farms. Assemblages of wild fish were counted monthly on two separate days at each of six fish farms between August 2015 and July 2017, by six rapid visual counts (RVC) in 5 minutes with scuba by two divers. Seawater samples were simultaneously taken by a Nansen bottle during the RVC from the fish farm barge. SST (°C), salinity (ppm), dissolved oxygen (mg l−1) and pH were measured by YSI multiparameter, while Secchi disk was also used for light transmittance. Wild fish species richness went up with increasing temperature and salinity in the Izmir region, however, this stopped at about 26°C and about 39 ppm. Wild fish richness increased when the DO was at a level of 7 mg l−1 and the pH at about 7.9 in Izmir. Between 10 and 20 m, light transmittance showed greater wild fish species richness in Izmir region. In contrast, the wild fish species richness of the Muğla region fluctuated more. In terms of wild fish species richness, these fluctuations increased with salinity and DO, while they decreased with SST, pH and light transmittance. However, the range of variation of the recorded physico-chemical variables is rather narrow. The results of the correlation matrix indicate that the relationship between wild fish species richness and pH and SST was statistically significant in Izmir region (P < 0.05).

Food composition of whiting Merlangius merlangus, captured around the sea-cage fish farms in Ordu, south-eastern Black Sea

2019 ◽  
Vol 99 (7) ◽  
pp. 1651-1659 ◽  
Author(s):  
Tuğçe Şensurat-Genç ◽  
Okan Akyol ◽  
Aytaç Özgül ◽  
Uğur Özden
Keyword(s):  
Black Sea ◽  
Food Composition ◽  
Control Site ◽  
Fish Farms ◽  
South Eastern ◽  
First Choice ◽  
Significant Difference ◽  
Merlangius Merlangus ◽  
Sea Cage ◽  
Cage Fish

AbstractThe food composition of whiting, Merlangius merlangus, caught around the sea-cage fish farms off the coast of Perşembe, was analysed and compared with the diet of whiting from a control site off the coast of Fatsa (Ordu Province, south-eastern Black Sea). A total of 815 stomach samples were collected during the study, and of these, 195 (23.9%) were empty. According to the percentage of relative importance index (IRI%), pellet food (47.8%) and Annelida (25%) were the main prey groups of whiting in the sea-cage fish farms area, while unidentified teleost (85.3%) and Engraulis encrasicolus (8.2%) were dominant in the control site. The other prey groups in both areas were Crustaceans (Mysidae, Amphipoda, Upogebia sp.), Sprattus sprattus and Gobius spp. Seasonally, pellet food was the most consumed food in all seasons, but Mysidae was the first preference of whiting around the sea-cage fish farms in spring. In the control site, unidentified teleost was the first preference in all seasons, except winter, where E. encrasicolus was the first choice, followed by crustaceans and S. sprattus in winter. Bray–Curtis analysis shows that seasonally, there is no significant difference in the sea-cage fish farms, while there is significant difference in the control site, and two-dimensional nMDS of IRI% revealed a clear separation between both sites. SIMPER analysis revealed that the most contributing factors to the differences between seasons were pellet food in the sea-cage fish farms, and E. encrasicolus in the control site.

scholarly journals Seasonal variations in wild fish aggregation near sea-cage fish farms in the Turkish Aegean Sea

2020 ◽  
Vol 18 ◽  
pp. 100478
Author(s):  
Okan Akyol ◽  
Aytaç Özgül ◽  
F. Ozan Düzbastılar ◽  
Halil Şen ◽  
José M. Ortiz de Urbina ◽  
...  
Keyword(s):  
Seasonal Variations ◽  
Aegean Sea ◽  
Wild Fish ◽  
Fish Farms ◽  
Fish Aggregation ◽  
Sea Cage ◽  
Cage Fish

scholarly journals A pan-European valuation of the extent, causes and cost of escape events from sea cage fish farming

Aquaculture ◽  
2015 ◽  
Vol 436 ◽  
pp. 21-26 ◽  
Author(s):  
Dave Jackson ◽  
Alan Drumm ◽  
Sarah McEvoy ◽  
Østen Jensen ◽  
Diego Mendiola ◽  
...  
Keyword(s):  
Fish Farming ◽  
Sea Cage ◽  
Cage Fish
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