Theses and Dissertations from UMD
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New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a give thesis/dissertation in DRUM
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Item A Forest of Complexity: An Ethnographic Assessment of REDD+ Implementation in Indonesia(2016) Enrici, Ashley; Hubacek, Klaus; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Reducing Emissions from Deforestation and forest Degradation (REDD+) is a global initiative aimed at curbing carbon emissions from forest cover change. Indonesia, one of the most biodiverse places on the planet with the third largest extent of tropical forest, has been extensively involved in REDD+. Despite commitments from the government of Indonesia and the international community, the deforestation rate has not stabilized or decreased in the years since REDD+'s introduction in 2007. As of 2012, it was arguably the highest in the world. While there is an extensive body of literature on REDD+, the need for grounded observations from the field could clarify existing challenges and inform future pursuits. This dissertation presents the results of over two years of ethnographic research in Indonesia on REDD+. Qualitative data collection techniques such as participant observation, site visits and interviews provide a rich tapestry of data that was analyzed in combination with scholarly literature and policy. The research finds that despite a number of changes to laws and regulations resulting from REDD+ implementation in Indonesia, weak institutional capacity and corruption have negated gains. The results of a case study of three REDD+ project sites identify important criteria at the root of success or failure: finance, community, boundary enforcement, monitoring, and outcomes of attempted carbon sequestration and biodiversity preservation. Challenges identified for each criteria include a lack of sufficient funding opportunities; inability to enforce boundaries due to corruption; and lack of a solid plan for involving communities. Carbon sequestration and biodiversity preservation results were mixed due to lack of monitoring and problems with encroachment. Finally the results of the qualitative data collection with stakeholders indicates a crisis of confidence among REDD+ stakeholders; cultural barriers to communication; a disconnect between international rhetoric and local reality; corruption and governance issues resulting in a lack of pathways for project implementation. I argue that changes must be made to Indonesian policy, monitoring technologies must be utilized, and stakeholders need to address some of the problems discussed here in order to save REDD+ from crisis.Item LINKING ALLOMETRIC SCALING THEORY WITH LIDAR REMOTE SENSING FOR IMPROVED BIOMASS ESTIMATION AND ECOSYSTEM CHARACTERIZATION(2015) Duncanson, Laura; Dubayah, Ralph; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Accurate quantification of forest carbon stocks and fluxes is critical for the successful modeling and mitigation of climate change. This research focuses on forest carbon stock quantification, both in terms of testing emerging remote sensing approaches to forest carbon modeling, and examining allometric equations used to estimate biomass stocks in field plots. First, we test controversial theoretical predictions of forest allometry through the mapping of the allometric variability using field plots across the U.S. we find that there is considerable variability in forest allometry across space, largely driven by local environment and life history. However, in tall forests, allometries tend to converge toward theoretical predictions, suggesting that theory may be a useful constraint on allometry in certain forests. Second, we shift to an analysis of empirical allometries by developing an algorithm to extract individual crown information from forest systems and using it for biomass mapping and allometric equation testing. Third, we test whether individual tree structure bolsters biomass modeling capabilities in comparison to tradition, plot-aggregated LiDAR metrics. As part of this analysis we also test an allometric scaling-based approach to biomass mapping. We find that individual tree-level structure only improves biomass models when there is considerable spatial heterogeneity in the forest. Also, allometric scaling-based only worked in one study site, and failed in the other two sites because there was little or no relationship between basal area and maximum canopy height. Finally, we applied LiDAR datasets to an analysis of the effects of sample size on empirical allometry development. We found that small samples sizes tend to result in an under sampling of large stems, which yields a more linear fit than the true allometry. An assessment of the potential carbon implications of this problem yielded site-level biomass predictions with biases of 10-178%. We suggest that empirical allometric equations developed on small sample sizes, as applied in the U.S., yield potentially large errors in biomass and therefore require careful reassessment. In combination with our findings regarding the spatial variability of forest allometry, we believe that the limiting factor to forest carbon estimation is the use of allometric equations.