Browsing by Author "Mdangi, Mashaka E."
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Item Application of normalized difference vegetation index (NDVI) to forecast rodent population abundance in smallholder agro-ecosystems in semi-arid areas in Tanzania(ResearchGate, 2019-05) Hieronimo, Proches; Isabirye, Moses; Kifumba, David; Mulungu, Loth; Kimaro, Didas N; Makundi, Rhodes H.; Leirs, Herwig; Mulungu, Loth S.; Mdangi, Mashaka E.; Massawe, Apia W.This study aimed to evaluate the potential use of normalized difference vegetation index (NDVI) from satellite- derived remote sensing data for monitoring rodent abundance in semi-arid areas of Tanzania. We hypothesized that NDVI could potentially complement rainfall in predicting rodent abundance spatially and tem- porally. NDVI were determined across habitats with differ- ent vegetation types in Isimani landscape, Iringa Region, in the southern highlands of Tanzania. Normalized differ- ences in reflectance between the red (R) (0.636–0.673 mm) and near-infrared (NIR) (0.851–0.879 mm) channels of the electromagnetic spectrum from the Landsat 8 [Opera- tional Land Imager (OLI)] sensor were obtained. Rodents were trapped in a total of 144 randomly selected grids each measuring 100 × 100 m 2 , for which the corresponding values of NDVI were recorded during the corresponding rodent trapping period. Raster analysis was performed by transformation to establish NDVI in study grids over the entire study area. The relationship between NDVI, rodent distribution and abundance both spatially and tempo- rally during the start, mid and end of the dry and wet sea- sons was established. Linear regression model was used to evaluate the relationships between NDVI and rodent abundance across seasons. The Pearson correlation coefficient (r) at p ≤ 0.05 was carried out to describe thedegree of association between actual and NDVI-predicted rodent abundances. The results demonstrated a strong linear relationship between NDVI and actual rodent abundance within grids (R 2 = 0.71). NDVI-predicted rodent abundance showed a strong positive correlation (r = 0.99) with estimated rodent abundance. These results support the hypothesis that NDVI has the potential for predicting rodent population abundance under smallholder farming agro-ecosystems. Hence, NDVI could be used to forecast rodent abundance within a reasonable short period of time when compared with sparse and not widely available rainfall data.hItem Comparative study of movement patterns of Mastomys natalensis in irrigated rice and fallow fields in eastern Tanzania(John Wiley & Sons Ltd, 2015) Mulungu, Loth S.; Borremans, Benny; Ngowo, V; Mdangi, Mashaka E.; Katakweba, Abdul S.; Tesha, P; Mrosso, Furaha P.; Mchomvu, M; Kilonzo, Bukheti S.A 2-year capture–mark–recapture study was conducted to estimate home ranges and weekly travel distance of Mastomys natalensis (Smith 1834) in an irrigated rice ecosystem and fallow fields. We found that adults have larger home ranges than subadults in fallow fields but not in rice fields, indicating that fallow fields are more suitable for breeding. Travel distances were larger in rice fields, especially in the transplanting stage, during which rice fields are flooded and provide less food, causing movements into neighbouring fallow fields that then temporarily experience higher population density. A decrease in travel distance was observed in rice fields during the maturity stage, which can be explained by higher food availability and a more suitable, nonflooded situation. Movement of M. natalensis in rice-fallow mosaic landscapes thus seems to be driven by food availability and flooding status of the rice fields, which can be attributed to land use practices.Item Knowledge and attitudes of communities on small mammalian carnivores in Mbomipa wildlife management area, Iringa, Tanzania(African Journal of Science and Research, 2015) Msigwa, Alphonce M.; Mulungu, Loth S.; Mdangi, Mashaka E.; Kilonzo, Bukheti S.The term Wildlife Management Area (WMA) refers to an area set aside by village governments and gazetted by the Government for the purpose of conserving natural resources, improving the life standard of communities and alleviating poverty across rural areas in Tanzania. With an area of 771 km2, MBOMIPA is among the three WMA’s bordering Ruaha National Park in Iringa region with large number of animals. However, little has been documented on small mammalian carnivores (SMC) in the area. This study was therefore designed to assess communities’ knowledge and attitudes on trends and threats of SMC in the area. Structured questionnaires were used for collecting information from village game scouts, local tourist hunters (campsite attendants, hunters guide, drivers and tour guides). Eleven SMC species were reported in the current study, viz. Black backed jackal, Aardwolf, Bat eared Fox, Zorilla, Cape clawless otter, Striped weasel, African civet, Wild cat, Caracal, Honey badger, and Banded mongoose. Eighteen respondents reported an increase of SMC despite presence of many threats against their survival. Competition (20.8%) and fire (16.5%) were reported to be the leading factors threatening the SMC in the area. Information gathered from this study was considered important for wildlife managers when implementing conservation activities and future research on SMC.Item Prevalence of leptospirosis and toxoplasmosis: A study of rodents and shrews in cultivated and fallow land, Morogoro rural district, Tanzania(2014) Mgode, Georgies F.; Katakweba, Abdul A.S; Mhamphi, Ginethon. G; Fwalo, Frank; Bahari, Mohamed; Mdangi, Mashaka E.; Kilonzo, Bukheti S; Mulungu, Loth S.Leptospirosis and toxoplasmosis are among understudied zoonotic diseases that are also not diagnosed routinely in Tanzania. Humans get leptospirosis and toxoplasmosis through contact with an environment contaminated with Leptospira bacteria and Toxoplasma protozoa from reservoir hosts, which are rodents and cats, respectively. The objective of this study was to determine the prevalence of Leptospira and Toxoplasma infections in rodents and shrews in Mikese area of Morogoro Rural District in eastern Tanzania. A total of 89 rodents and one shrew from cultivated and fallow land were tested for leptospirosis using six Leptospira serovars: Sokoine, Kenya, Canicola, Lora, Hebdomadis and Pomona. Toxoplasmosis was determined in 46 rodents brain smears. The prevalence of leptospirosis was 25.8%, and Leptospira serovar Sokoine was the most prevalent serovar (16.9%). Toxoplasma was detected in one rodent (2.17%) individual while three rodent individuals had Toxoplasma-like parasites hence were considered suspect positive. Findings suggest potential existence of human leptospirosis which needs to be further investigated. Public awareness of leptospirosis and toxoplasmosis should be promoted and their diagnosis considered in patients in health care facilities.