Quantifying nitrogen cycling rates in freshwater marshes of the southern Everglades using nitrogen-15 tracer techniques

This dissertation research project addressed the question of how hydrologic restoration of the Everglades is impacting the nutrient dynamics of marsh ecosystems in the southern Everglades. These effects were analyzed by quantifying nitrogen (N) cycle dynamics in the region. I utilized stable isotope tracer techniques to investigate nitrogen uptake and cycling between the major ecosystem components of the freshwater marsh system. I recorded the natural isotopic signatures (δ15N and δ 13C) for major ecosystem components from the three major watersheds of the Everglades: Shark River Slough, Taylor Slough, and C-111 basin. Analysis of δ15 N and δ13C natural abundance data were used to demonstrate the spatial extent to which nitrogen from anthropogenic or naturally enriched sources is entering the marshes of the Everglades. In addition, I measured the fluxes on N between various ecosystem components at both near-canal and estuarine ecotone locations. Lastly, I investigated the effect of three phosphorus load treatments (0.00 mg P m-2, 6.66 mg P m-2, and 66.6 mg P m-2) on the rate and magnitude of ecosystem N-uptake and N-cycling. The δ15N and δ13C natural abundance data supported the hypothesis that ecosystem components from near-canal sites have heavier, more enriched δ 15N isotopic signatures than downstream sites. The natural abundance data also showed that the marshes of the southern Everglades are acting as a sink for isotopically heavier, canal-borne dissolved inorganic nitrogen (DIN) and a source for "new" marsh derived dissolved organic nitrogen (DON). In addition, the 15N mesocosm data showed the rapid assimilation of the 15N tracer by the periphyton component and the delayed N uptake by soil and macrophyte components in the southern Everglades.

Political corruption in the Caribbean Basin: A comparative analysis of Jamaica and Costa Rica

Political corruption in the Caribbean Basin retards state economic growth and development, undermines government legitimacy, and threatens state security. In spite of recent anti-corruption efforts of intergovernmental and nongovernmental organizations (IGO/NGOs), Caribbean political corruption problems appear to be worsening in the post-Cold War period. This dissertation discovers why IGO/NGO efforts to arrest corruption are failing by investigating the domestic and international causes of political corruption in the Caribbean. The dissertation's theoretical framework centers on an interdisciplinary model of the causes of political corruption built within the rule-oriented constructivist approach to social science. The model first employs a rational choice analysis that broadly explains the varying levels of political corruption found across the region. The constructivist theory of social rules is then used to develop the structural mechanisms that further explain the region's levels of political corruption. The dissertation advances its theory of the causes of political corruption through qualitative disciplined-configurative case studies of political corruption in Jamaica and Costa Rica. The dissertation finds that IGO/NGO sponsored anti-corruption programs are failing because they employ only technical measures (issuing anti-corruption laws and regulations, providing transparency in accounting procedures, improving freedom of the press, establishing electoral reforms, etc.). While these IGO/NGO technical measures are necessary, they are not sufficient to arrest the Caribbean's political corruption problems. This dissertation concludes that to be successful, IGO/NGO anti-corruption programs must also include social measures, e.g., building civil societies and modernizing political cultures, for there to be any hope of lowering political corruption levels and improving Caribbean social conditions. The dissertation also highlights the key role of Caribbean governing elite in constructing the political and economic structures that cause their states' political corruption problems. ^

Land-cover detection and landscape structure analysis in the Pachitea Basin, Peruvian Amazon

Classification procedures, including atmospheric correction satellite images as well as classification performance utilizing calibration and validation at different levels, have been investigated in the context of a coarse land-cover classification scheme for the Pachitea Basin. Two different correction methods were tested against no correction in terms of reflectance correction towards a common response for pseudo-invariant features (PIF). The accuracy of classifications derived from each of the three methods was then assessed in a discriminant analysis using crossvalidation at pixel, polygon, region, and image levels. Results indicate that only regression adjusted images using PIFs show no significant difference between images in any of the bands. A comparison of classifications at different levels suggests though that at pixel, polygon, and region levels the accuracy of the classifications do not significantly differ between corrected and uncorrected images. Spatial patterns of land-cover were analyzed in terms of colonization history, infrastructure, suitability of the land, and landownership. The actual use of the land is driven mainly by the ability to access the land and markets as is obvious in the distribution of land cover as a function of distance to rivers and roads. When considering all rivers and roads a threshold distance at which disproportional agro-pastoral land cover switches from over represented to under represented is at about 1km. Best land use suggestions seem not to affect the choice of land use. Differences in abundance of land cover between watersheds are more prevailing than differences between colonist and indigenous groups.