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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The Utility of Digital Aerial Surveys in Censusing Dipteryx Panamensis, the Key Food and Nesting Tree of the Endangered Great Green Macaw (Ara Ambigua) in Costa Rica

Chun, Sara Lai Ming 31 October 2008 (has links)
<p>Remote sensing technologies offer an innovative way to study tropical forests and complement research from forest inventory plots. From a logistic standpoint, remote sensing mitigates some of the physical, political, and economic challenges that complicate terrestrial studies of tropical forests. From a biological standpoint, remotely sensed data can elucidate ecological phenomena and dynamics of tropical forests that may be challenging to observe on the ground. I conducted a digital aerial survey during the peak blooming period for <em>Dipteryx panamensis</em>. <em>D. panamensis</em> is a canopy emergent, keystone tree species within the lowland Atlantic forests of Costa Rica. The aerial survey occurred over Maquenque National Wildlife Refuge, which is situated in the proposed San Juan-La Selva Biological Corridor. Maquenque was decreed in 2005 to protect the last breeding habitat for the endangered Great Green Macaw (<em>Ara ambigua</em>) in Costa Rica. The Great Green Macaw depends on <em>D. panamensis</em> as its primary food and nesting resource. However, because of Costa Rica's complex deforestation history, the Great Green Macaw remains imperiled due to habitat fragmentation, degradation, and loss. Only 25 to 35 breeding pairs and 250 individuals likely persist in the country. My research had three main objectives. First, I evaluated a classification technique that capitalized on the unique spectral signature of blooming <em>D. panamensis</em> in order to detect this species using a pattern recognition approach. Second, I determined the landscape density and distribution of this tree species using results from the aerial survey and classification. I also noted environmental factors predicting potential <em>D. panamensis</em> habitat using a classification and regression tree (CART) model, and I subsequently calculated how much potential habitat exists in Costa Rica. Third, I identified environmental conditions that indicate potential breeding habitat for the Great Green Macaw using a CART model, and I calculated how much potential breeding habitat exists in Costa Rica. Results of the classification work indicate that <em>D. panamensis</em> can be identified based on its unique spectral signature. In particular, the IHS (intensity, hue, saturation) color space was effective at resolving this tree. Results of the density analysis suggest that canopy emergent <em>D. panamensis</em> trees occur at densities as high as 2 trees/hectare. This work demonstrates that <em>D. panamensis</em> exists in denser patches than previously determined from forest inventory plots. Environmental conditions that will support high densities of <em>D. panamensis</em> habitat occur between 45 and 125 meters in elevation and on soil with an acid and clay profile. Nearly 240,000 hectares could support high density patches of <em>D. panamensis</em> in Costa Rica. Potential Great Green Macaw breeding habitat is defined by the density of <em>D. panamensis</em> trees within its 550-hectare breeding territory. Approximately 67,000 hectares of Great Green Macaw breeding territory exist in Costa Rica. Ultimately, the conservation of both <em>D. panamensis</em> and the Great Green Macaw in Costa Rica may require a multinational partnership between Costa Rica and Nicaragua.</p> / Dissertation
2

Impacts of indigenous communities on the biodiversity of neotropical rainforests

Stafford, Ciara January 2017 (has links)
This thesis explores how indigenous communities in the neotropics affect the biodiversity of the forests in which they live; and assesses how the culture, preferences and perceptions of communities can influence the outcome of this relationship. This is first investigated via a case study that compares primate populations between a protected area in the Ecuadorian Amazon and a territory in its adjacent buffer zone that is owned by an indigenous Kichwa community. I then use an ethnoprimatological approach to investigate the attitudes of this community to primates, namely looking at (a) whether primates are seen as a distinct group, (b) the relative importance of primates as sources of bushmeat and pets and (c) the perceived value of primates in terms of their value as a resource or their ecological role. I show that diurnal primates are seen as a cohesive group, but that tree-dwelling non-primates including sloths, kinkajous and tamanduas are also frequently classified as 'monkeys'. The community's perceptions of the value of primates are more closely associated with their potential as bushmeat and pets, whereas few respondents view their importance in terms of their role in the forest ecosystem. I compare our findings to those in studies of other indigenous groups and discuss how they could contribute to more effective conservation planning. Next, I assess how hunting preferences for mammals and birds vary across communities over the whole of central America, Amazonia and the Guianan shield. I show that primates, cetartiodactyls and rodents are the mammalian cornerstones of prey provision for hunters in neotropical communities, whereas Galliformes, Tinamiformes, Psittaciformes, Gruiformes, Piciformes are the most commonly hunted bird orders. The location of a community alone is a significant but weak predictor of the structure of its hunting profile in terms of order preferences. In addition, I found no relationship between a community's age and size and the average biomass of birds or mammals hunted, or the number of mammal species that are targeted. I discuss whether the age and size of communities are robust indicators of past and current hunting pressure, as well as the suitability of cross-sectional data for monitoring large-scale hunting patterns.

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