3 resultados para Bacteroides fragilis
em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain
Resumo:
Several methods and approaches for measuring parameters to determine fecal sources of pollution in water have been developed in recent years. No single microbial or chemical parameter has proved sufficient to determine the source of fecal pollution. Combinations of parameters involving at least one discriminating indicator and one universal fecal indicator offer the most promising solutions for qualitative and quantitative analyses. The universal (nondiscriminating) fecal indicator provides quantitative information regarding the fecal load. The discriminating indicator contributes to the identification of a specific source. The relative values of the parameters derived from both kinds of indicators could provide information regarding the contribution to the total fecal load from each origin. It is also essential that both parameters characteristically persist in the environment for similar periods. Numerical analysis, such as inductive learning methods, could be used to select the most suitable and the lowest number of parameters to develop predictive models. These combinations of parameters provide information on factors affecting the models, such as dilution, specific types of animal source, persistence of microbial tracers, and complex mixtures from different sources. The combined use of the enumeration of somatic coliphages and the enumeration of Bacteroides-phages using different host specific strains (one from humans and another from pigs), both selected using the suggested approach, provides a feasible model for quantitative and qualitative analyses of fecal source identification.
Resumo:
Several methods and approaches for measuring parameters to determine fecal sources of pollution in water have been developed in recent years. No single microbial or chemical parameter has proved sufficient to determine the source of fecal pollution. Combinations of parameters involving at least one discriminating indicator and one universal fecal indicator offer the most promising solutions for qualitative and quantitative analyses. The universal (nondiscriminating) fecal indicator provides quantitative information regarding the fecal load. The discriminating indicator contributes to the identification of a specific source. The relative values of the parameters derived from both kinds of indicators could provide information regarding the contribution to the total fecal load from each origin. It is also essential that both parameters characteristically persist in the environment for similar periods. Numerical analysis, such as inductive learning methods, could be used to select the most suitable and the lowest number of parameters to develop predictive models. These combinations of parameters provide information on factors affecting the models, such as dilution, specific types of animal source, persistence of microbial tracers, and complex mixtures from different sources. The combined use of the enumeration of somatic coliphages and the enumeration of Bacteroides-phages using different host specific strains (one from humans and another from pigs), both selected using the suggested approach, provides a feasible model for quantitative and qualitative analyses of fecal source identification.
Resumo:
The historical evolution of vegetation in the former Sils Pond (la Selva) during the second half of the 20th century is described through the study of past(Bolòs, 1954; Vilar, 1981) and present-day (Mercadal, 2002) vegetation cartography, the first aerial photographs (1956 and 1980) and current orthophotos (2000). This inland pool was finally drained in 1851 and most of its area was converted into meadows (Gaudinio fragilis-Arrhenatheretum elatioris Br.-Bl. in Br.-Bl., Roussine & Nègre 1952), a semi cultural community which was very distinct florally, for the Mediterranean region. The results demonstrate that in the last 50 years changes in land use have transformed the former landscape, which was prominently meadow-like and grain-producing, into woodlands, wet grasslands, developed areas and sub-Mediterranean forests, with the consequent loss of meadow areas and floristic diversity. In response, based on historical cartography, we propose spaces to prioritize for recovery and management such as meadow areas