Understanding the sources and effects of abandoned,lost, and discarded fishing gear on marine turtles in northern Australia

Globally, 6.4 million tons of fishing gear are lost in the oceans annually. This gear (i.e., ghost nets), whether accidently lost, abandoned, or deliberately discarded, threatens marine wildlife as it drifts with prevailing currents and continues to entangle marine organisms indiscriminately. Northern Australia has some of the highest densities of ghost nets in the world, with up to 3 tons washing ashore per kilometer of shoreline annually. This region supports globally significant populations of internationally threatened marine fauna, including 6 of the 7 extant marine turtles. We examined the threat ghost nets pose to marine turtles and assessed whether nets associated with particular fisheries are linked with turtle entanglement by analyzing the capture rates of turtles and potential source fisheries from nearly 9000 nets found on Australia's northern coast. Nets with relatively larger mesh and smaller twine sizes (e.g., pelagic drift nets) had the highest probability of entanglement for marine turtles. Net size was important; larger nets appeared to attract turtles, which further increased their catch rates. Our results point to issues with trawl and drift‐net fisheries, the former due to the large number of nets and fragments found and the latter due to the very high catch rates resulting from the net design. Catch rates for fine‐mesh gill nets can reach as high as 4 turtles/100 m of net length. We estimated that the total number of turtles caught by the 8690 ghost nets we sampled was between 4866 and 14,600, assuming nets drift for 1 year. Ghost nets continue to accumulate on Australia's northern shore due to both legal and illegal fishing; over 13,000 nets have been removed since 2005. This is an important and ongoing transboundary threat to biodiversity in the region that requires attention from the countries surrounding the Arafura and Timor Seas. Entender las Fuentes y Efectos de Equipo de Pesca Abandonado, Perdido y Desechado sobre las Tortugas Marinas del Atlántico Norte     

Determination of 99Tc, 63Ni and 121m+126Sn in the marine environment

Four artificially produced radionuclides (${}^{99}\text{Tc, t}{}_{\mathrm{<mtext>1</mtext><mtext>2</mtext>}}\text{= 2·15 × 10}{}^5\text{y;}{}^{63}\text{Ni, t}{}_{\mathrm{<mtext>1</mtext><mtext>2</mtext>}}\text{= 93 y}$ and ${}^{\mathrm{121m+126}}\text{Sn, t}{}_{\mathrm{<mtext>1</mtext><mtext>2</mtext>}}\text{= 55·5 y}$) have been analyzed in sediments and organisms from the marine environment. The samples were obtained from the vicinities of nuclear energy facilities, at sites of nuclear weapon tests and at sites remote from both of these locales. The activities of these nuclides per unit dry weight are remarkably similar at the first two of the above areas but are usually detectable only with difficulty, if at all, in the third area. Techniques for sample treatment and measurement are given.     

Threat perception and the readiness to participate in safety programs

Reacting to a perception of threat, workers can become fatalistic or increase their readiness to participate in plant safety programs. A field study of 396 production workers at eight factories tested key relationships derivable from this assumption. Workers were found to be particularly sensitive to presumed personal jeopardy from existing safety hazards. These threat perceptions were tied to previous encounters with accidents and to training for a specific task. In contrast, occupational climates seen as supportive to safety efforts did not effect personal threat evaluations. Safety instruction and co-worker support were established as complementary factors that moved workers toward an activist path of participation rather than a fatalistic acceptance of an existing situation. While relationships were primarily investigated on an individual level, special conditions at certain enterprises were found to influence worker willingness to become involved in safety endeavors.     

A prediction-based approach to modelling temporal and spatial variability of traffic-related air pollution in Montreal, Canada

Concentrations of traffic-related air pollution can be highly variable at the local scale and can have substantial seasonal variability. This study was designed to provide estimates of intra-urban concentrations of ambient nitrogen dioxide (NO₂) in Montreal, Canada, that would be used subsequently in health studies of chronic diseases and long-term exposures to traffic-related air pollution. We measured concentrations of NO₂ at 133 locations in Montreal with passive diffusion samplers in three seasons during 2005 and 2006. We then used land use regression, a proven statistical prediction method for describing spatial patterns of air pollution, to develop separate estimates of spatial variability across the city by regressing NO₂ against available land-use variables in each of these three periods. We also developed a “pooled” model across these sampling periods to provide an estimate of an annual average. Our modelling strategy was to develop a predictive model that maximized the model R². This strategy is different from other strategies whose goal is to identify causal relationships between predictors and concentrations of NO₂.Observed concentrations of NO₂ ranged from 2.6 ppb to 31.5 ppb, with mean values of 12.6 ppb in December 2005, 14.0 ppb in May 2006, and 8.9 ppb in August 2006. The greatest variability was observed during May. Concentrations of NO₂ were highest downtown and near major highways, and they were lowest in the western part of the city. Our pooled model explained approximately 80% of the variability in concentrations of NO₂. Although there were differences in concentrations of NO₂ between the three sampling periods, we found that the spatial variability did not vary significantly across the three sampling periods and that the pooled model was representative of mean annual spatial patterns.     

TBT in California coastal waters: Monitoring and assessment

Butyltins were monitored at over eighty sites, primarily marinas, in surface waters and sediments of the California coast. Values of tributyltin (TBT) in marina waters ranged from 20 to 600 ppt while lower values were usually found in harbors and on the coast. The origin of the tributyltin is in its use as an antifouling agent in marine paints. In those marinas where the concentrations are greater than about 100 ppt, there is usually a conspicuous absence of native organisms, especially molluscs, which are among the most sensitive animals to the highly toxic TBT. The impact of TBT upon not-target organisms recalls the DDT episode of the 1970s. Increasing uses of TBT-containing antifouling paints in the future may have even more drastic effects on coastal organisms than those observed today. The conclusion is inescapable that TBT should be banned for use in commercially available marine paints.     

Characterizing the urban heat island in current and future climates in New Jersey

Climate change caused by increased anthropogenic emissions of carbon dioxide (CO₂) and other greenhouse gases is a long-term climate hazard with the potential to alter the intensity, temporal pattern, and spatial extent of the urban heat island (UHI) in metropolitan regions. Particular meteorological conditions—including high temperature, low cloud cover, and low average wind speed—tend to intensify the heat island effect. Analyses of existing archived climate data for the vicinities of Newark and Camden, New Jersey indicate urban to suburban/rural temperature differences over the previous half-century. Surface temperatures derived from a Landsat thermal image for each site were also analyzed for spatial patterns of heat islands. Potential interactions between the UHI effect and projected changes in temperature, wind speed, and cloud cover are then examined under a range of climate change scenarios, encompassing different greenhouse gas emissions trajectories. The scenarios include those utilized in the Metropolitan East Coast Regional Assessment of Climate Variability and Change and the A2 and B2 scenarios of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES).

The UHI effect was detected in Newark and Camden in both satellite surface-temperature and meteorological station airtemperature records. The average difference in urban—nonurban minimum temperatures was 3.0 °C for the Newark area and 1.5 °C for Camden. Extrapolation of current trends and the selected global climate models (GCMs) project that temperatures in the case study areas will continue to warm in the current century, as they have over the past half-century. An initial analysis of global climate scenarios shows that wind speed may decline, and that cloud cover may increase in the coming decades. These generally small countervailing tendencies suggest that urban—nonurban temperature differences may be maintained under climate change.

Overall warmer conditions throughout the year may extend the spatial and temporal dimensions of the urban-suburban heat complex. The incidence of heat-related morbidity and mortality are likely to increase with interactions between the increased frequency and duration of heat waves and the UHI effect. Camden and Newark will likely be subjected to higher temperatures, and areas experiencing UHI-like conditions and temperature extremes will expand. Thus, urban heat island-related hazard potential is likely to increase in a warmer climate.     

The significance of a small, level-3 'semi evacuation' hospital in a terrorist attack in a nearby town

Terrorist attacks can occur in remote areas causing mass-casualty incidents MCIs far away from level-1 trauma centres. This study draws lessons from an MCI pertaining to the management of primary and secondary evacuation and the operational mode practiced. Data was collected from formal debriefings during and after the event, and the medical response, interactions and main outcomes analysed using Disastrous Incidents Systematic Analysis through Components, Interactions and Results (DISAST-CIR) methodology. A total of 112 people were evacuated from the scene-66 to the nearby level 3 Laniado hospital, including the eight critically and severely injured patients. Laniado hospital was instructed to act as an evacuation hospital but the flow of patients ended rapidly and it was decided to admit moderately injured victims. We introduce a novel concept of a 'semi-evacuation hospital'. This mode of operation should be selected for small-scale events in which the evacuation hospital has hospitalization capacity and is not geographically isolated. We suggest that level-3 hospitals in remote areas should be prepared and drilled to work in semi-evacuation mode during MCIs.     

Comparative study of the chemistry and structure of gorgonian and antipatharian coral skeletons

The comparative morphology of the axial skeleton was studied in representatives of 5 reef-dwelling gorgonian families and 2 antipatharian genera by electron and light microscopy. Comparative axial histochemistry, amino acid composition and the physico-chemical character of the protein were also studied. Evidence obtained indicates that collagen is a widespread and prominent structural feature of the gorgonian axial skeleton. Aromatic crosslinkage (sclerotization) also appears to be of widespread, if not universal occurrence in these animals. Sclerotization is equally characteristic of the black coral skeletons studied, but this material does not contain collagen. Its unusual composition, structure, and reactivity is discussed.     

Noninvasive prenatal screening for patients with high body mass index: Evaluating the impact of a customized whole genome sequencing workflow on sensitivity and residual risk

Objective

Women with high body mass index (BMI) tend to have reduced fetal fraction (FF) during cell-free DNA-based noninvasive prenatal screening (NIPS), causing test failure rates up to 24.3% and prompting guidelines that recommend aneuploidy screening other than NIPS for patients with significant obesity. Because alternatives to NIPS are only preferable if they perform better, we compared the respective sensitivities at different BMI levels of traditional aneuploidy screening and a customized whole-genome sequencing NIPS.

Method

The relationship between FF, aneuploidy, and BMI was quantified from 58 105 patients screened with a customized NIPS that does not fail samples because of low FF alone. Expected analytical sensitivity as a function of aneuploidy and BMI (eg, trisomy 18 sensitivity when BMI = 35) was determined by scaling the BMI- and aneuploidy-specific FF distribution by the FF- and aneuploidy-specific sensitivity calculated from empirically informed simulations.

Results

Across all classes of obesity and assuming zero FF-related test failures, analytical sensitivity for the investigated NIPS exceeded that of traditional aneuploidy screening for trisomies 13, 18, and 21.

Conclusion

Relative to traditional aneuploidy screening, a customized NIPS with high accuracy at low FF and a low test-failure rate is a superior screening option for women with high BMI.