As a strategy to conserve tropical rainforests of the East Usambara block of the Eastern Arc Mountains, Tanzania, I developed a set of models that can identify above-average tree species richness areas within the humid forests. I developed the model based on geo-referenced field data and satellite image-based variables from the Amani Nature Reserve, the largest forest sector in the East Usambara. I then verified the model by applying it to the Nilo Forest Reserve. The field data, part of the Tanzanian National Biodiversity Database, were collected by Frontier-Tanzania between 1999 and 2001, through the East Usambara Conservation Area Management Program, Government of Tanzania. The field data used are rapidly collectible by people with varied backgrounds and education. I gathered spectral reflectance values from pixels in the Landsat Enhanced Thematic Mapper (Landsat ETM) image covering the study area that corresponded to the ground sample points. The spectral information from different bands formed the satellite image-based variables in the dataset. The best satellite image logistic regression and discriminant analysis models were based on a single band, raw Landsat ETM mid-infrared band 7 (RB7). In the Amani forest, the RB7-based model resulted in 65.3% overall accuracy in identifying above average tree species locations. When the logistic and discriminant models were applied to Nilo forest sector, the overall accuracy was 62.3%. Of the rapidly collectible field variables, only tree density (number of trees) was selected in the logistic regression and the discriminant analysis models. Logistic and discriminant models using both RB7 and number of trees recorded 76.3% overall accuracy in Amani, and when applied to Nilo, 76.8% accuracy. It is possible to apply and adapt the current set of models to identify above-average tree species richness areas in East Usambara and other forest blocks of the Eastern Arc Mountains. Potentially, managers and researchers can periodically use the model to rapidly assess, monitor, update, and map the tree species rich areas within the forest. The same or similar models could be applied to check their applicability in other humid tropical forest areas. / Ph. D.

The field of conservation genetics, in combination with non-invasive sampling, provides a powerful set of tools for investigating the conservation status and natural history of rare species that are otherwise difficult to study. A systematic literature review demonstrated that this is certainly the case for many forest associated antelope species, which are poorly studied and yet constitute some of the most heavily hunted wildlife in Africa. The aim of the present study was to use non-invasive sampling to investigate genetic patterns in forest antelope populations in the high-biodiversity Udzungwa Mountains, Tanzania, within the context of the conservation of these species and the wider ecosystem. Genetic information was derived from faecal samples collected across the Udzungwa landscape and assigned to five antelope species (N = 618, collected 2006-09). Faecal pellet length was measured for a subset of samples but statistical assignment to species by this method proved unreliable. Phylogenetic analysis using mitochondrial control region sequences unexpectedly revealed that Harvey’s duiker within the Udzungwas are paraphyletic with respect to sequences from a putative sister species from southern Africa. However, there was no corresponding pattern in the microsatellite dataset suggesting that these mitochondrial lineages do not represent contemporary genetic isolation. Instead, Harvey’s duiker nuclear variation is shaped both by isolation by distance, due to positive spatial autocorrelation at short distances, and clustering of distinct genotypes from western outlying forests. These forests also harbour the endangered Abbott’s duiker and therefore require effective conservation management. Despite being detected throughout the Udzungwas, genetic diversity in Abbott’s duiker was very low in comparison to other species. These results suggest several promising research directions but also have significant conservation implications that will be disseminated to the Tanzanian wildlife authorities and the wider conservation community.

Since the creation of the first reserve in 1997, a conservation plan allowed the development of a network of Forest Nature Reserves in Tanzania over the years. Nowadays the network comprises 20 declared reserves (and two reserves in the process of being announced), each characterized by various management plans, ecoregions, threat levels, budgets, and sizes. Despite improvements in the number of reserves declared, management efficacy and participation of local communities, some threats are still impacting the biodiversity level of the reserves, these include a lack of funding for management, deficiencies in terms of equipment and personnel, and lack of benefits to the local communities. Thus, our objective was to use the data collected previously, to evaluate and improve this network of Forest Nature Reserves. To accomplish this, first, the parameters significantly related to the biodiversity value of the reserves were identified, and second, the taxonomic groups (among amphibians, reptiles, birds, and mammals) poorly covered by the reserves and the location of possible gap(s) in the network were detected. To complete the first objective, we achieved some descriptive analysis, using Microsoft Excel and R, and for the second objective, we used the spatial software QGIS, to perform a gap analysis and build species richness maps. Our results demonstrated that ecoregions were the most important factor being significantly related to the biodiversity index of the reserves, with the Eastern Arc Mountains being the most valuable forest in terms of its biodiversity amount. In addition, the gap analysis revealed that the proportion of Tanzanian endemic gap amphibian and reptile species was higher than in other taxa in the network, showing a conservation bias. Secondly, the species richness maps identified gap areas, where other types of small, protected areas were found, which could be upgraded in the future to capture additional endemic/threatened species. To conclude, despite an improvement in the development of the protected areas over time in Tanzania, there are still some weaknesses in the network that should be considered in the future.

The aims of this study were to develop a detailed record of the tetranychid mites of Kenya and Tanzania, to assess the diversity of tetranychid mites in the east African biodiversity hotspots and to determine female characters that can be used to identify the species of the economically important Tetranychus species found in these countries. The genetic diversity of the most abundant Tetranychus species (Tetranychus evansi Baker & Pritchard) was also assessed. The Tetranychidae (Acari) contain some of the most important pest species of phytophagous mites worldwide. Out of the almost 1,300 species in this family, 256 species are known to occur in Africa. Before this study, ten species had been reported from Kenya and only three in Tanzania. The genus Tetranychus to which most of the pest species belongs to, can only be identified to species level by the use of the male aedeagus that is often difficult to visualize. The natural habitat, the Eastern Arc Mountains and East African Coastal Forests in Kenya and Tanzania is recognized as biodiversity hotspots but prior to his study, information on Tetranychidae in these hotspots was lacking. Thus, no information on the natural mite fauna composition was available. In Kenya, 18 tetranychid mite species from various plant hosts have been recorded. Four of these species belong to the subfamily Bryobiinae and the other 14 to the subfamily Tetranychinae. Eight of the mite species identified belong to the genera Bryobia, Petrobia, Peltanobia, Paraplonobia, Duplanychus, Eutetranychus and Mixonychus and are being reported for the first time in Kenya while the other ten had already been reported before. For Tanzania, six species belonging to the genera Tetranychus, Eutetranychus and Mixonychus are being reported for the first time from Tanzania and other three had been reported before. A list of these species, their brief descriptions as well as a key for identification is provided. A redescription of Peltanobia erasmusi including previously undescribed male characters is given. Schizotetranychus kwalensis sp. nov. from Kenya and Brevinychus meshacki from Tanzania were collected on Omorcarpum kirkii (Fabaceae) from Matuga, Kwale district, Kenya and Philonoptera eriocalyx (Fabaceae) from Sangasanga, Mvomero district, Tanzania respectively and described. Revised keys of Brevinychus and of the African species of Schizotetranychus are also provided. Tetranychus evansi Baker & Pritchard ranked highest in abundance amongst all the tetranychid mites collected. It was found in four out of five fragments of the hotspot, and it survives in a wide range of altitudes from as low as 123 m to 1655 m. Molecular examination of T. evansi collected from Kenya and Tanzania and on different host plants revealed an identical DNA sequence of the mitochondrial COI fragment and 19 identical microsatellite alleles suggesting a single introduction of this species to this part of East Africa. Female characters of four Tetranychus species found in Kenya were explored using the scanning electron microscope. Differences in the distances between the duplex setae of species belonging to the desertorum group (Tetranychus evansi Baker & Pritchard and Tetranychus ludeni Zacher) and those grouped by Flechtmann and Knihinicki (2002) under group 9 (Tetranychus neocaledonicus Andre and Tetranychus urticae Koch) were observed. The dorsal striae of T. evansi, T. neocaledonicus and T. urticae have semicircular lobes whereas those on the dorsal striae of T. ludeni are triangular. / Thesis (PhD (Environmental Sciences))--North-West University, Potchefstroom Campus, 2012.

The aims of this study were to develop a detailed record of the tetranychid mites of Kenya and Tanzania, to assess the diversity of tetranychid mites in the east African biodiversity hotspots and to determine female characters that can be used to identify the species of the economically important Tetranychus species found in these countries. The genetic diversity of the most abundant Tetranychus species (Tetranychus evansi Baker & Pritchard) was also assessed. The Tetranychidae (Acari) contain some of the most important pest species of phytophagous mites worldwide. Out of the almost 1,300 species in this family, 256 species are known to occur in Africa. Before this study, ten species had been reported from Kenya and only three in Tanzania. The genus Tetranychus to which most of the pest species belongs to, can only be identified to species level by the use of the male aedeagus that is often difficult to visualize. The natural habitat, the Eastern Arc Mountains and East African Coastal Forests in Kenya and Tanzania is recognized as biodiversity hotspots but prior to his study, information on Tetranychidae in these hotspots was lacking. Thus, no information on the natural mite fauna composition was available. In Kenya, 18 tetranychid mite species from various plant hosts have been recorded. Four of these species belong to the subfamily Bryobiinae and the other 14 to the subfamily Tetranychinae. Eight of the mite species identified belong to the genera Bryobia, Petrobia, Peltanobia, Paraplonobia, Duplanychus, Eutetranychus and Mixonychus and are being reported for the first time in Kenya while the other ten had already been reported before. For Tanzania, six species belonging to the genera Tetranychus, Eutetranychus and Mixonychus are being reported for the first time from Tanzania and other three had been reported before. A list of these species, their brief descriptions as well as a key for identification is provided. A redescription of Peltanobia erasmusi including previously undescribed male characters is given. Schizotetranychus kwalensis sp. nov. from Kenya and Brevinychus meshacki from Tanzania were collected on Omorcarpum kirkii (Fabaceae) from Matuga, Kwale district, Kenya and Philonoptera eriocalyx (Fabaceae) from Sangasanga, Mvomero district, Tanzania respectively and described. Revised keys of Brevinychus and of the African species of Schizotetranychus are also provided. Tetranychus evansi Baker & Pritchard ranked highest in abundance amongst all the tetranychid mites collected. It was found in four out of five fragments of the hotspot, and it survives in a wide range of altitudes from as low as 123 m to 1655 m. Molecular examination of T. evansi collected from Kenya and Tanzania and on different host plants revealed an identical DNA sequence of the mitochondrial COI fragment and 19 identical microsatellite alleles suggesting a single introduction of this species to this part of East Africa. Female characters of four Tetranychus species found in Kenya were explored using the scanning electron microscope. Differences in the distances between the duplex setae of species belonging to the desertorum group (Tetranychus evansi Baker & Pritchard and Tetranychus ludeni Zacher) and those grouped by Flechtmann and Knihinicki (2002) under group 9 (Tetranychus neocaledonicus Andre and Tetranychus urticae Koch) were observed. The dorsal striae of T. evansi, T. neocaledonicus and T. urticae have semicircular lobes whereas those on the dorsal striae of T. ludeni are triangular. / Thesis (PhD (Environmental Sciences))--North-West University, Potchefstroom Campus, 2012.