1,738 publications from this institution
The floating plastic debris along the Arabian coast of the Red Sea was sampled by using surface-trawling plankton nets. A total of 120 sampling sites were spread out over the near-shore waters along 1,500 km of coastline during seven cruises performed during 2016 and 2017. Plastic debris, dominated by millimeter-sized pieces, was constituted mostly of fragments of rigid objects (73%) followed by pieces of films (17%), fishing lines (6%) and foam (4%). These fragments were mainly made up by polyethylene (69%) and polypropylene (21%). Fibres, likely released from synthetic textiles, were ubiquitous and abundant, although were analyzed independently due to the risk of including non-plastic fibres and airborne contamination of samples in spite of the precautions taken. The plastic concentrations (excluding possible plastic fibres) contrasts with those found in other semi-closed seas such as the neighboring Mediterranean. They were relatively low all over Red Sea (< 50,000 items km-2; mean ± SD = 3,546 ± 8,154 plastic item km-2, 1.1 ± 3.0 g km-2) showing no clear spatial relationship with the distribution of coastal population. Results suggests a low plastic waste input from land as the most plausible explanation for this relative shortage of plastic in the surface waters of the Red Sea; however, the additional intervention of particular processes of surface plastic removal by fish or the filtering activity of the extensive coral reefs along the coastline cannot be discarded. In addition, our study highlights the relevance of determining specific regional conversion rates of mismanaged plastic waste to marine debris, accounting for the role of near-shore activities (e.g. beach tourism, recreational navigation), in order to estimate plastic waste inputs into the ocean.
Content and values displayed: The data is displayed in an excel file with spreadsheets representing each of the following spatial scales: -“Fjord-scale”: The data set includes information on measurements representing vertical profiles at sites distributed along a horizontal fjord gradient: Date, site (station), water depth, temperature, pH, Ωarag, oxygen concentration (O2) and fluorescence -“Small-scale/kelp-scale”: The data set includes information from 3 consecutive series of parallel deployments over 2-3 days in shallow subtidal kelp habitats (kelp) and neighboring habitats colonized by benthic microalgae and scattered filamentous algae (bare) in Kobbefjord. We provide information on date and time, deployment number (#1-3), and each of the following variables measured ca 50 cm above the seafloor in the two types of habitat (kelp and bare): temperature, pH, salinity, water depth, O2, PAR and Ωarag. In addition, we provide information on pH-variability within 1m3 of kelp forest measured by an array of 16 pH-sensors placed in 4 layers of the kelp forest: 10 cm above the seafloor, 20 cm above the seafloor, in the canopy and in the water column just above the canopy. -“Micro-scale”: The data set includes information on pH at a millimeter scale measured through the boundary layer of 6 different species of macrophytes (Ascophyllum nodosum, Fucus vesiculosus, Saccharina longicruris, Agarum clathratum, Ulva lactuca, Zostera marina) by microelectrode in a laboratory setup. For each point we provide the average and standard deviation (SD) of 3 replicate measurements of each species. -“Tidal pools”: The date set represents parallel diurnal measurements in a vegetated tidal pool and the adjacent vegetated shore in the inner part of Kobbefjord. For each site and sampling time we provide data on O2, salinity, temperature, pH, total alkalinity (AT), total inorganic carbon (CT), partial pressure of CO2 (pCO2)and Ωarag in the water.
Abstract. Air-sea CO2 exchange depends on the air-sea CO2 gradient and the gas transfer velocity (k), computed as a function of wind speed. Large discrepancies among relationships predicting k from wind suggest that other processes also contribute significantly to modulate CO2 exchange. Here we report, on the basis of the relationship between the measured gas transfer velocity and the organic carbon concentration at the ocean surface, a significant role of surface organic matter in suppressing air-sea gas exchange, at low and intermediate winds, in the open ocean, confirming previous observations. The potential role of total surface organic matter concentration (TOC) on gas transfer velocity (k) was evaluated by direct measurements of air-sea CO2 fluxes at different wind speeds and locations in the open ocean. According to the results obtained, high surface organic matter contents may lead to lower air-sea CO2 fluxes, for a given air-sea CO2 partial pressure gradient and wind speed below 5 m s−1, compared to that observed at low organic matter contents. We found the bias in calculated gas fluxes resulting from neglecting TOC to co-vary geographically and seasonally with marine productivity. These results support previous evidences that consideration of the role of organic matter in modulating air-sea CO2 exchange may improve flux estimates and help avoid possible bias associated to variability in surface organic concentration across the ocean.
Given the wealth of new RNA structures and the growing list of RNA functions in biology, it is of great interest to understand the repertoire of RNA folding motifs. The ability to identify new and known motifs within novel RNA structures, to compare tertiary structures with one another and to quantify the characteristics of a given RNA motif are major goals in the field of RNA research; however, there are few systematic ways to address these issues. Using a novel approach for visualizing and mathematically describing macromolecular structures, we have developed a means to quantitatively describe RNA molecules in order to rapidly analyze, compare and explore their features. This approach builds on the alternative eta,theta convention for describing RNA torsion angles and is executed using a new program called PRIMOS. Applying this methodology, we have successfully identified major regions of conformational change in the 50S and 30S ribosomal subunits, we have developed a means to search the database of RNA structures for the prevalence of known motifs and we have classified and identified new motifs. These applications illustrate the powerful capabilities of our new RNA structural convention, and they suggest future adaptations with important implications for bioinformatics and structural genomics.
Abstract This work presents a comprehensive study on concentrations and elemental composition of total suspended atmospheric particulates for a semi-urban site on the Red Sea coast, and on-board a research vessel, which collected off-shore samples along the Red Sea. We conducted one of the most extended measurement campaigns of atmospheric particulates ever for the region, with continuous measurements over 27 months. The overall mean concentrations (± st. dev.) of TSP were 125 ± 197 µg m −3 for the permanent semi-urban site, and 108 ± 193 µg m −3 for the off-shore mobile site. The region is frequently severely impacted by both localised and widespread dust storms, which on occasion, can increase atmospheric particulate concentrations to levels above mg m −3 (> 1000 µg m −3 ). Median concentrations were not as variable between seasons, indicating a stable, permanent presence of atmospheric particulates independent of the time of year. The primary chemical elements contributing to particulate mass were Na, Ca, S, Al and Fe. We employed Positive Matrix Factorisation (EPA PMF v5.0.14) to identify different major sources of particulates, which were crustal, marine, fuel oil combustion/secondary sulphate and mixed anthropogenic. The crustal source was characterised by tracers Al, Fe, K, Mg and Sn, and was present to some extent in the other identified sources due to the permanent presence of dust particles in the atmosphere. The fuel oil combustion/secondary sulphate source was identifiable by the almost exclusive presence of S, and to a lesser extent V, emitted from oil combustion as primary emissions and also secondary sulphate formation following the release of S to the atmosphere. A mixed anthropogenic source was characterised by Zn, Ni, Cr, Cu and Pb, emitted from traffic, industry, power generation and water desalination. This study highlights that the natural sources of particulates in this desert region give rise to frequent episodes of extremely poor air quality, and this problem is compounded by significant emissions of anthropogenic pollution, which has an impact across the entire Red Sea basin. Further stringent measures should be adopted to improve air quality across the region and prevent long-term damage to the health of the local population and ecosystems.