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Showing items 1 through 9 of 9.
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Library Resource
To highlight and examine apparent paradoxes in assessing the effectiveness of different forms of land-use for biodiversity conservation. Tanzania. We compare and contrast the findings of two recent and seemingly conflicting studies on the effectiveness of conservation protection strategies in Tanzania. We evaluate these studies in the context of a wider body of evidence relating to the problem of determining protected area performance.
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Library Resource
The FAO land-cover classification system (LCCS) represents an innovative approach to standardizing and harmonizing land-cover classifications based on remote sensing data. The thematic information considered by the LCCS, however, is intrinsically related to vegetation physiognomy and does not report important eco-climatic features. Our aim is to develop a methodology to enrich LCCS maps with information on vegetation productivity and phenology derived from Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data.
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Library Resource
AIM: We map estimated historical population declines resulting from species‐specific models of sensitivity to habitat fragmentation for three forest‐dependent chameleons. LOCATION: East Usambara Mountains, Eastern Arc Mountains, Tanzania. METHODS: We surveyed three chameleon species (Rhampholeon spinosus, Rhampholeon temporalis and Trioceros deremensis) along 32.2� km of transects and used a hierarchical, distance‐sampling model to estimate densities. The model included habitat characteristics at the landscape (patch) and local (transect) scales while accounting for detectability.
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Library Resource
While the decrease in flow is obvious in the Kikuletwa River, the mechanism leading to the decrease is unclear. We assessed the influence of vegetation cover change on dry season flow in the Kikuletwa River. The combined cover of closed and open forests decreased by 68% while closed and open forests decreased by 56% and 64% respectively. Land under agroforestry decreased by 25%, while that under annual crops increased by 41%. Grasslands increased by 116% and riverine vegetation decreased by 53%.
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Library Resource
This paper examines the changes in land use/cover types in the degraded environment of central Tanzania over the last 45 years, and how such changes have influenced agricultural and livelihoods sustainability, especially in the Irangi Hills. Changes of land use/cover were measured through aerial photographs interpretations, while local perceptions and description of change were addressed through household interviews and field observations. The results of this study show that there have been variations over the years in terms of both the areas and spatial distribution of cultivated fields.
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Library Resource
Livestock encroachment is threatening the populations of large wild mammals in Tanzania. Competition for quality grazing land by domestic stocks is one of the main factors impacting wild species during this encroachment. In the Kilombero Game Controlled Area (KGCA), extensive livestock husbandry is negatively associated with wildlife populations, especially outside the hunting season. This study assessed the relationship between livestock number and the abundance of three wild species: puku, buffalo and elephant.
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Library Resource
The response of fragmented vegetation to human impact has been analysed in degraded and degrading areas in Tanzania (Lake Manyara).
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Library Resource
Boulengerula uluguruensis is a terrestrial caeciliid caecilian described from the Uluguru Mountains of Tanzania. We investigated the relative abundance of B. uluguruensis in agricultural and forested habitats at the beginning of the rainy season. This caecilian was found over a wide altitudinal range (450–1175 m a.s.l.), and in many land cover types (including natural forest, plantation forest and small scale agriculture), and different soil textures (including very compact soil). Based on quantitative and semi‐quantitative surveys, B.
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Library Resource
Vegetation data in an early 20th century map from northern Tanzania are presented and discussed for its potential of expanding the analytical time-frame in studies of land-use and land-cover change. The starting point is that much research on land-use and land-cover change suffers from a time-frame bias, caused by limitations in remote sensing data. At the same time, the use of historical maps as a complementary data-set is rather insignificant. Can information in historical maps be used to extend the baseline in land-use and land-cover change studies?
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