Stentoftvittrup5108

The developed model exhibited an excellent predictive ability by external validation. Moreover, the model showed wide applicability and predicted the lnK values of VOCs at 373 K and 403 K in R2 of 0.910 and 0.889.Ecological connectivity in coastal oceanic waters is mediated by dispersion of the early life stages of marine organisms and conditions the structure of biological communities and the provision of ecosystem services. Integrated management strategies aimed at ensuring long-term service provision to society do not currently consider the importance of dispersal and larval connectivity. A spatial optimization model is introduced to maximise the potential provision of ecosystem services in coastal areas by accounting for the role of dispersal and larval connectivity. The approach combines a validated coastal circulation model that reproduces realistic patterns of larval transport along the coast, which ultimately conditions the biological connectivity and productivity of an area, with additional spatial layers describing potential ecosystem services. Sunitinib in vitro The spatial optimization exercise was tested along the coast of Central Chile, a highly productive area dominated by the Humboldt Current. Results show it is unnecessary to relocate existing management areas, as increasing no-take areas by 10% could maximise ecosystem service provision, while improving the spatial representativeness of protected areas and minimizing social conflicts. The location of protected areas was underrepresented in some sections of the study domain, principally due to the restriction of the model to rocky subtidal habitats. Future model developments should encompass the diversity of coastal ecosystems and human activities to inform integrative spatial management. Nevertheless, the spatial optimization model is innovative not only for its integrated ecosystem perspective, but also because it demonstrates that it is possible to incorporate time-varying biophysical connectivity within the optimization problem, thereby linking the dynamics of exploited populations produced by the spatial management regime.Episodes of indoor exposure to toxic compounds in companion animals are frequent. Toxico-epidemiological data on this matter are fundamental not only to take proper corrective actions but especially because domestic animals represent crucial sentinels for environmental toxicants. In this review we will present an overview on indoor poisoning of companion animals by chemicals in Europe, providing information on trends and emphasizing emerging indoor contaminants. In general, pesticides are the most frequent class of toxicants involved in indoor animal poisoning episodes in Europe. Among them, insecticides (in particular anticholinesterase compounds) and anticoagulant rodenticides are frequently implicated, but molluscicides (i.e. metaldehyde) together with household products have also shown a growing or at least stable trend in the poisoning episodes. Considering the emerging molecules, neonicotinoids (imidacloprid and acetamiprid) and glyphosate formulations have been pointed out, whereas with regard to households, besides the well-known ethylene glycol, attention should be paid to emerging products such as sodium polyacrylate polymeric hydrogels, xylitol, glowsticks and liquid laundry detergent capsules. The environmental contamination by chemical households is a global challenge and bioindicators like pets may be valuable tools to perform a comprehensive monitoring and risk assessment.Glyphosate (Gly) is a broad-spectrum herbicide and currently one of the most studied pesticides. New Gly-related data are published daily worldwide. Despite the large number of publications, there is no published scientometric revision that presently addresses this issue systematically. We aimed to scientometrically analyze the publication patterns of main topics related to Gly research. Web of Science data was obtained searching the topic "Glyphosate" (10,069 publications). Toxicology was the most influential area, and a subset was delimited containing the categories "Environmental Sciences", "Toxicology" and "Ecology" (2077 publications). The datasets were analyzed using Citespace. The publications number presented a high correlation with the Gross Domestic Product (GDP) in both datasets. USA was the leader of general publication about Gly, followed by Brazil, Canada and China. USA, Canada, Argentina, China and Brazil were the main countries in Gly toxicology. This subset was related with data of the GDP spuently the human health.Hydrogen peroxide (H2O2) is a reactive oxygen species formed in natural water. It is reportedly toxic to aquatic organisms with a predicted no-effect concentration (PNEC) of about 380 nM. In this study, a countrywide investigation of H2O2 concentrations in selected rivers across Japan was conducted to identify rivers that pose toxicity concerns. Twelve rivers with a total catchment area of 13,646 km2 were selected from different prefectures. Spatial and temporal variation studies showed that the H2O2 concentrations (avg. 320 nM, n = 111) varied by two orders of magnitude (range 21-2929 nM) across the rivers. The Yamato River in Osaka and Nara prefectures and the Kokubu River in Chiba Prefecture had the highest concentrations at 276-669 nM and 236-2929 nM, respectively. >75% of the data from the two rivers were either close to or exceeded the PNEC. Most of the results for the other rivers were less than the PNEC. There was a clear seasonal variation in the H2O2 concentrations, with the highest values obtained in summer because of high solar irradiation. The H2O2 concentration had the highest positive correlation (r = 0.61, p less then 0.01, n = 111) with the product of dissolved organic carbon and solar radiation intensity, which suggests that these two factors in combination are important in determining the H2O2 concentrations in river water. It was also observed that bigger rivers had lower H2O2 concentration and vice-versa. This shows that the size of a river may influence its H2O2 concentration. This study is the first countrywide survey of H2O2 concentrations in different rivers and evaluation of their relationship with the PNEC. The data provide insight on the factors influencing the concentrations of H2O2 in river water.