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11 results for “Offshore structures”
Reef effect of offshore structures on the occurrence and foraging activity of harbour porpoises
<p class="MsoNormal">With increasing numbers of offshore structures to be decommissioned, a better understanding of their effect on marine predators is timely. There is some evidence that oil and gas platforms may attract marine mammals acting as artificial reefs. However, it is unclear whether different man-made structure designs have similar effects. Further, due to the lack of baseline data prior to installation, it is unknown whether artificial structures modify the diel patterns of occurrence and foraging behaviour of marine mammals. Here, we used passive acoustics to investigate the occurrence and foraging activity of harbour porpoises (<em>Phocoena phocoena</em>) around three artificial structures of different age and complexity. We deployed an array of echolocation click detectors (CPODs) in 2021, along a gradient of distances to these structures and assessed the extent to which porpoises were attracted to them. We also investigated the effect of these structures on the diel patterns of occurrence and foraging activity of porpoises. The probability of porpoise occurrence and foraging activity decreased with distance from offshore structures. A significant increase in porpoise occurrence and foraging was detected during night-time compared to daytime around all three offshore structures (< 200 m). Comparing pre- and post-installation porpoise detections, the daily patterns of occurrence and foraging activity shifted from a weak <a>diel</a><span class="MsoCommentReference"><span> </span></span>pattern before the structure was installed, to a strong nocturnal pattern when the structure was present. These findings provide evidence that marine mammals are attracted to man-made structures and that porpoises modify their diel patterns of occurrence and foraging activity around them. This research suggests that offshore structures play an important role as foraging areas for marine mammals and provides key information for the decommissioning process.</p>
Reef effect of offshore structures on the occurrence and foraging activity of harbour porpoises
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Crustal thicknesses, Moho depths and 3-D density anomaly model for GJI paper: Crustal structure of onshore-offshore Atlantic Canada and environs from constrained 3-D gravity inversion using variable mesh depths by J. Kim Welford
<p>The files are provided as ascii text files in terms of both latitudes/longitudes and eastings/northings. For the 3-D density anomaly model, it is provided with columns of x, y, z, and absolute density. The conversions from latitudes/longitudes to eastings/northings for all of the models and maps in this work are computed with ellipsoid WGS-84 and UTM zone 19 using Generic Mapping Tools.</p>
Supporting dataset: "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer"
<p>Included in this repository are supporting field data and final model input files used to produce the results of the manuscript:</p> <p>Trglavcnik, V., Morrow, D., Weber, K. P., Li, L., & Robinson, C. E. (2017), "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer."</p> <p>This dataset contains:</p> <ul> <li>SableIsland_data.xlsx <ul> <li>Data used to produce figures in the above manuscript. </li> </ul> </li> <li>Final_SS.zip <ul> <li>Input files for the final model (see Figure 3 in manuscript), steady-state SEAWAT simulation. </li> </ul> </li> <li>Final_PBC.zip <ul> <li>Input files for the final model, transient SEAWAT simulation with a sinusoidal tidal boundary implemented by the Periodic Boundary Condition package (developed for MODFLOW by Post, 2011).</li> </ul> </li> </ul> <p>All data and files are licensed under Creative Commons Attribution Share Alike 4.0 International.</p> <p> </p> <p> </p>
Data from: Fine-scale temperature associated genetic structure between inshore and offshore populations of sea scallop (Placopecten magellanicus)
In the northwest Atlantic Ocean, sea scallop (Placopecten magellanicus) have been characterized by a latitudinal genetic cline with a breakpoint between northern and southern genetic clusters occurring at ~45°N along eastern Nova Scotia, Canada. Using 96 diagnostic single nucleotide polymorphisms (SNPs) capable of discriminating between northern and southern clusters, we examined fine-scale genetic structure of scallops among 27 sample locations, spanning the largest geographic range evaluated in this species to date (~37-51°N). Here, we confirmed previous observations of northern and southern groups, but we show that the boundary between northern and southern clusters is not a discrete latitudinal break. Instead, at latitudes near the previously described boundary, we found unexpected patterns of fine-scale genetic structure occurring between inshore and offshore sites. Scallops from offshore sites, including St. Pierre Bank and the eastern Scotian Shelf, clustered with southern stocks, whereas inshore sites at similar latitudes clustered with northern stocks. Our analyses revealed significant genetic divergence across small spatial scales (i.e., 129 to 221 km distances), and that spatial structure over large and fine scales was strongly associated with temperature during seasonal periods of thermal minima. Clear temperature differences between inshore and offshore locations may explain the fine-scale structuring observed, such as why southern lineages of scallop occur at higher latitudes in deeper, warmer offshore waters. Our study supports growing evidence that fine-scale population structure in marine species is common, often environmentally associated, and that consideration of environmental and genomic data can significantly enhance the identification of marine diversity and management units.
Monte Carlo Simulations results for estimating an offshore structure fatigue life with a Fracture Mechanics based crack growth model, after additional information was considered through Bayesian inference at t=13 years
<p>Monte Carlo Simulations results for estimating an offshore structure fatigue life with a Fracture Mechanics based crack growth model, after additional information was considered through Bayesian inference at t=13 years</p>
Data from: Distinctive microbial community and genome structure in coastal seawater from a human-made port and nearby offshore island in northern Taiwan facing the Northwestern Pacific Ocean
<p><span>Pollution in human-made fishing ports caused by petroleum </span><span>from</span><span> boats, dead fish, toxic </span><span>chemicals</span><span>, and effluent </span><span>poses</span><span> a challenge to the organisms in seawater. To decipher the impact of pollution on the microbiome, we collected surface water </span><span>from</span><span> a fishing port and a nearby offshore island in northern Taiwan facing the </span><span>Northwestern Pacific Ocean. By employing 16S </span><span>rRNA gene</span><span> amplicon sequencing and whole-genome shotgun sequencing, we discovered that </span><span>Rhodobacteraceae, Vibrionaceae, and Oceanospirillaceae emerged as the dominant species in the fishing port</span><span>,</span><span> where we found many genes harboring the functions of </span><span>antibiotic</span><span> resistance (</span><span>ansamycin, nitroimidazole, and aminocoumarin), metal tolerance (copper, chromium, iron and multimetal), virulence factors (chemotaxis, flagella, T3SS1), carbohydrate metabolism (biofilm formation and remodeling of bacterial cell </span><span>walls</span><span>), nitrogen metabolism (denitrification, N<sub>2</sub> fixation, and ammonium assimilation), and ABC transporters (phosphate, lipopolysaccharide, and branched-chain amino </span><span>acids</span><span>). The dominant bacteria at the nearby offshore island (</span><span>Alteromonadaceae, Cryomorphaceae, Flavobacteriaceae, Litoricolaceae, and Rhodobacteraceae) were partly similar to those in the South China Sea and the East China Sea. Furthermore, we inferred</span><span> that</span><span> the microbial community network of </span><span>the cooccurrence</span><span> of dominant bacteria </span><span>on the</span><span> offshore island was connected to dominant bacteria in </span><span>the </span><span>fishing port by mutual</span> <span>exclusion. By examining the assembled microbial genomes collected from the coastal seawater of the fishing port, we revealed four genomic islands containing large gene-containing sequences</span><span>,</span><span> including phage integrase, DNA</span> <span>invertase, restriction enzyme, DNA gyrase inhibitor, and antitoxin HigA-1.</span><span> In this study, </span><span>we provided </span><span>clues </span><span>for the possibility of genomic islands as the units of horizontal transfer and as the tools of microbes for facilitating adaptation in a human-made port environment.</span></p>
Data from: Distinctive microbial community and genome structure in coastal seawater from a human-made port and nearby offshore island in northern Taiwan facing the Northwestern Pacific Ocean
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Data from: Fine-scale temperature associated genetic structure between inshore and offshore populations of sea scallop (Placopecten magellanicus)
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Data from: Spatio-temporal genetic structure and the effects of long-term fishing in two partially sympatric offshore demersal fishes
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Fatigue failure accumulated probability of an offshore structure as computed in initial condition and after considering additional information through Bayesian inference
<p>Fatigue failure accumulated probability of an offshore structure as computed in initial condition and after considering additional information through Bayesian inference</p>
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