A metrópole híbrida: o papel do turismo no processo de urbanização da região metropolitana de Fortaleza; Hibrida metropolis: the role of tourism in the process of urbanization of Fortaleza metropolitan region
Da noção de violência urbana à compreensão da violência do processo de urbanização: apontamentos para uma inversão analítica a partir da Geografia Urbana; From the notion of urban violence to an understanding of the violence of the urbanization process: notes towards an analytic inversion in Urban Geography
An Agenda for Research on Urbanization in Developing Countries : A Summary of Findings from a Scoping Exercise
Is Urbanization in Sub-Saharan Africa Different?
Urbanization and (In)Formalization
Urbanization and the Geography of Development
Strategies for Urbanization and Economic Competitiveness in Burundi
Research on the impact assessment of urbanization on air environment with urban environmental entropy model: a case study
Urbanization and Productivity : Evidence from Turkish Provinces Over the Period 1980-2000
Urban China : Toward Efficient, Inclusive, and Sustainable Urbanization
Vietnam Urbanization Review : Technical Assistance Report
Urbanization without Growth : A Not-So-Uncommon Phenomenon
Urbanization and (In)Formalization
Harnessing Urbanization to End Poverty and Boost Prosperity in Africa
New Evidence on the Urbanization of Global Poverty
Urbanization and the Geography of Development
Respuesta de las comunidades de dípteros de recipientes artificiales a la urbanización; Response of the fly communities from artificial containers to urbanization
Effects of urbanization on stream ecosystem functions
As the human population continues to increase, the effects of land use change on streams and their watersheds will be one of the central problems facing humanity, as we strive to find ways to preserve important ecosystem services, such as drinking water, irrigation, and wastewater processing. This dissertation explores the effects of land use change on watershed nitrate concentrations, and on several biogeochemical ecosystem functions in streams, including nitrate uptake, ecosystem metabolism, and heterotrophic carbon processing.
In a literature synthesis, I was able to conclude that nitrate concentrations in streams in forested watersheds tend to be correlated with soil solution and shallow groundwater nitrate concentrations in those watersheds. Watershed disturbances, such as ice storms or clear-cutting, did not alter this relationship. However both urban and agricultural land use change increased the nitrate concentrations in streams, soil solution, and groundwater, and altered the correlation between them, increasing the slope and intercept of the regression line. I conclude that although the correlation between these concentrations allows for predictions to be made, further research is needed to better understand the importance of dilution...
Bayesian Methods to Characterize Uncertainty in Predictive Modeling of the Effect of Urbanization on Aquatic Ecosystems
Urbanization causes myriad changes in watershed processes, ultimately disrupting the structure and function of stream ecosystems. Urban development introduces contaminants (human waste, pesticides, industrial chemicals). Impervious surfaces and artificial drainage systems speed the delivery of contaminants to streams, while bypassing soil filtration and local riparian processes that can mitigate the impacts of these contaminants, and disrupting the timing and volume of hydrologic patterns. Aquatic habitats where biota live are degraded by sedimentation, channel incision, floodplain disconnection, substrate alteration and elimination of reach diversity. These compounding changes ultimately lead to alteration of invertebrate community structure and function. Because the effects of urbanization on stream ecosystems are complex, multilayered, and interacting, modeling these effects presents many unique challenges, including: addressing and quantifying processes at multiple scales, representing major interrelated simultaneously acting dynamics at the system level, incorporating uncertainty resulting from imperfect knowledge, imperfect data, and environmental variability, and integrating multiple sources of available information about the system into the modeling construct. These challenges can be addressed by using a Bayesian modeling approach. Specifically...