Made available in DSpace on 2017-07-10T18:13:12Z (GMT). No. of bitstreams: 1 Wiviany Riediger.pdf: 691679 bytes, checksum: 6d7fdb6b83b7be5f6e9c2818bcd38edc (MD5) Previous issue date: 2013-03-20 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This work aimed to analyze the composition variation seasonal and structure of phytoplankton community in stabilization ponds in Sewage Treatment Station Rio das Antas in the city of Cascavel, noting the influence of environmental variables on this community. The collections of phytoplankton were carried in two points collection between March 2011 and February 2012. A total of 39 taxa were identified, being the most representative class Cyanobacteria both in richness and density. There was a low spatial and temporal variability in phytoplankton composition during the study period. The phytoplankton community showed up with low wealth but high density of species and was represented mainly by classes Cyanobacteria, Chlorophyceae. The Shannon diversity was classified as very low to low, and the equitability, in general, was high. The analysis of permutation of multivariate data showed that statistically the data density of affluence and phytoplankton between periods and sampling sites, to behave similarly. The variation distribution observed throughout the period of study, characterized by replacing, in proportions of Cyanobacteria by Chlorophyceae. The homogeneity of the distribution this species throughout the period of study between sampling sites, probably due to the similar characteristics of sites, comprising high concentration of organic matter, low energy hydrodynamic shallow and restricted circulation of water. / Este trabalho objetivou analisar a variação sazonal da composição e estrutura da comunidade fitoplanctônica em lagoas de estabilização da Estação de Tratamento de Esgotos Rio das Antas do município de Cascavel, observando a influência das variáveis ambientais sobre esta comunidade. As coletas do material fitoplanctônico foram realizadas em dois pontos de amostragem entre março de 2011 e fevereiro de 2012. No total foram identificados 39 táxons, sendo a classe Cianobactéria a mais representativa tanto na riqueza como na densidade. Observou-se uma baixa variabilidade espacial e temporal na composição do fitoplâncton no período de estudo. A comunidade fitoplanctônica apresentou-se com baixa riqueza, porém alta densidade das espécies e esteve representado principalmente pelas classes Cyanobacteria, Chlorophyceae. A diversidade de Shannon foi classificada como muito baixa à baixa e a equitabilidade, de uma maneira geral, foi alta. A análise de permutação dos dados multivariados mostrou que estatisticamente os dados de riqueza e densidade fitoplanctônica entre os períodos e locais amostrados, comporto-se de forma semelhante. A variação de distribuição verificada em todo o período de estudo, é caracterizado com a substituição, das cianobactérias por clorofíceas. A homogeneidade da distribuição das espécies em todo o período de estudo entre os locais amostrados deve-se, provavelmente pelas características similares dos locais, sendo composto por altas concentrações de matéria orgânica, baixa energia hidrodinâmica, baixa profundidade e restrita circulação da água.

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第15315号 / 工博第3194号 / 新制||工||1481(附属図書館) / 27793 / 京都大学大学院工学研究科都市環境工学専攻 / (主査)教授 角 哲也, 准教授 竹門 康弘, 准教授 武藤 裕則 / 学位規則第4条第1項該当

The National Wetlands Inventory (NWI) is the definitive source for wetland resources in the United States. The NWI production unit in Hadley, MA has begun to upgrade their digital map database, integrating descriptors for assessment of wetland functions. Updating is conducted manually and some automation is needed to increase production and efficiency. This study assigned landscape position descriptor codes to NWI wetland polygons and correlated polygon environmental properties with public domain terrain, soils, hydrology, and vegetation data within the Coastal Plain of Virginia. Environmental properties were applied to a non-metric multidimensional scaling technique to identify similarities within individual landscape positions based on wetland plant indicators, primary and secondary hydrology indicators, and field indicators of hydric soils. Individual NWI landscape position classes were linked to field-validated environmental properties. Measures provided by this analysis indicated that wetland plant occurrence and wetland plant status obtained a stress value of 0.136 (Kruskal's stress measure = poor), which is a poor indicator when determining correlation among wetland environmental properties. This is due principally to the highly-variable plant distribution and wetland plant status found among the field-validated sites. Primary and secondary hydrology indicators obtained a stress rating of 0.097 (Kruskal's stress measure = good) for correlation. The hydrology indicators measured in this analysis had a high level of correlation with all NWI landscape position classes due the common occurrence of at least one primary hydrology indicator in all field validated wetlands. The secondary indicators had an increased accuracy in landscape position discrimination over the primary indicators because they were less ubiquitous. Hydric soil characteristics listed in the 1987 Manual and NTCHS field indicators of hydric soils proved to be a relatively poor indicator, based on Kruskal's stress measure of 0.117, for contrasting landscape position classes because the same values occurred across all classes. The six NWI field–validated landscape position classes used in this study were then further applied in a public domain digital data analysis. Mean pixel attribute values extracted from the 180 field-validated wetlands were analyzed using cluster analysis. The percent hydric soil component displayed the greatest variance when compared to elevation and slope curvature, streamflow and waterbody, Cowardin classification, and wetland vegetation type. Limitations of the soil survey data included: variable date of acquisition, small scale compared to wetland size, and variable quality. Flow had limitations related to its linear attributes, therefore is often found insignificant when evaluating pixel values that are mean of selected pixels across of wetland landscape position polygons. NLCD data limitations included poor quality resolution (large pixel size) and variable classification of cover types. The three sources of information that would improve wetland mapping and modeling the subtle changes in elevation and slope curvature that characterize wetland landscapes are: recent high resolution leaf-off aerial photography, high-quality soil survey data, and high-resolution elevation data. Due to the data limitations and the choice of variables used in this study, development of models and rules that clearly separate the six different landscape positions was not possible, and thus automation of coding could not be attempted. / Master of Science