Anthropogenic risk increases night-time activities and associations in African elephants (Loxodonta africana) in the Ruaha-Rungwa ecosystem, Tanzania

Elephants face diverse threats from human activities and use temporal and social strategies to reduce human-induced mortality risk. We used data from camera trap surveys in 2018–2019 (n= 1625 independent detection events from 11,751 sampling days) to investigate elephant responses to anthropogenic risk in the Ruaha-Rungwa ecosystem, Tanzania. The study was conducted in one low- risk and three high- risk sites using 26–40 paired camera trap stations per site. Risk influenced the active pe-riods, use of roads and water sources, social associations and behaviour of elephants. Elephants demonstrated significantly more night-time and reduced daytime activ-ity in the high- risk sites relative to the low- risk site. This higher night-time activity in the high- risk sites was observed for both males and females, though it was more pronounced for cow–calf groups than lone males. Foraging events and use of water sources were more frequent at night in the high- risk sites. Elephants used roads as movement routes in the low- risk site but avoided roads in the high- risk sites. Males were significantly more likely to associate with other males and cow–calf groups in the high- risk sites. Fewer occurrences of relaxed behaviours were observed in the high- risk sites compared to the low- risk site. We discuss the potential implications of our findings for elephant survival and reproduction.Output Status: Forthcoming/Available Onlin

Interaction of Grassland Ecosystem with Livelihood and Wildlife Sustainability: Tanzanian Perspectives

In Tanzania, pure grasslands cover is estimated to be 60,381 km2, about 6.8% of the total land area, and is distributed in different parts. These grasslands are diverse in dominant grass species depending on rainfall, soil type, altitude, and management or grazing system. They support livestock and wildlife distributed in different eco-tomes and habitats of the country. The potential of grasslands for the livelihood of rural people is explicit from the fact that local people depend solely on natural production to satisfy their needs for animal products. Analysis of grazing lands indicated that livestock population, production of meat, and milk from grasslands increased. But the wildlife population, when considered in terms of livestock equivalent units (Large Herbivore Units) showed a declining trend. The contribution of grasslands to the total volume of meat produced in the country showed a declining state, while milk production showed a slight increase. This situation entails a need to evaluate the grasslands of Tanzania to ascertain their potential for supporting people’s livestock, wildlife, and livelihood. This study concluded that more research is needed to establish the possibility of grasslands to keep large numbers of grazing herbivores for sustainable livestock and wildlife production

Impact of Agro-pastoralism on Grasslands in Serengeti and Ugalla Ecosystems, Tanzania

This chapter delves into the intricate relationship between agro-pastoralism and grassland ecosystems in Tanzania’s Western Serengeti and Ugalla Ecosystems. Despite the acknowledged contribution of agro-pastoralism to rural well-being and economic development, its impact on the delicate balance of grassland ecosystems remains unclear in these crucial Tanzanian landscapes. The chapter aims to illuminate agro-pastoralism’s environmental, social, and economic dimensions in these regions. Guided by research questions exploring current conditions, potential solutions, and the path toward sustainable grassland resource utilization, the study employed a systematic literature review and data analysis using R software. Key findings highlight challenges from the progressive expansion of agro-pastoral activities, leading to trade-offs between ecosystem services and productivity. The study identifies agro-pastoral clusters across the area, revealing variations in economic activities and their impact on grassland utilization. Impacts on natural resources, such as soil pH changes, reduced herbaceous biomass, and shifts in plant composition, are discussed. The legal framework related to natural resource conservation in grasslands emphasizes the need for a balanced, ecologically sustainable approach. Efforts to alleviate agro-pastoral impacts, including introducing climate-smart agriculture, are explored. The chapter concludes by emphasizing the importance of integrated, participatory methods for sustainable management in the Serengeti and Ugalla ecosystems. Recommendations include promoting sustainable land use practices, implementing rotational grazing, and enhancing community involvement in decision-making

Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro

The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this study investigates the potential of airborne LiDAR-derived variables characterizing vegetation structure as predictors for animal species richness at the southern slopes of Mount Kilimanjaro. To disentangle the structural LiDAR information from co-factors related to elevational vegetation zones, LiDAR-based models were compared to the predictive power of elevation models. 17 taxa and 4 feeding guilds were modeled and the standardized study design allowed for a comparison across the assemblages. Results show that most taxa (14) and feeding guilds (3) can be predicted best by elevation with normalized RMSE values but only for three of those taxa and two of those feeding guilds the difference to other models is significant. Generally, modeling performances between different models vary only slightly for each assemblage. For the remaining, structural information at most showed little additional contribution to the performance. In summary, LiDAR observations can be used for animal species prediction. However, the effort and cost of aerial surveys are not always in proportion with the prediction quality, especially when the species distribution follows zonal patterns, and elevation information yields similar results

Modern Queueing Management System: QCracker

The purpose of this project was to develop a modern and affordable queueing management sys-tem that would take advantage of modern available software development tools and networking infrastructure unlike traditional queueing management systems. The primary targeted markets are the emerging markets in Africa especially the eastern part of Africa. The system was intended to be affordable by any business entity and would be localized to meet people’s expectations. In order to achieve this vision a company called Kifaru software solution Ltd was set up to carry out the development. QCracker is based on client-server architecture. The QCracker client software communicates with QCracker server over the Local Area Network. The QCracker server and client software use QT (Nokia) framework. Currently both the client and the server are running in an MS Windows environment, but in the near future there is a plan of porting the server to Linux. The result of the project shows that it is always fair to be treated equally with respect considering the first in, first served (FIFO) system. Modern Queueing Management System is applicable any-where where people queue up for services. It saves the customer’s and service provider’s time, increases efficiency, productivity of the staff and customer confidence towards their service pro-vider

What prolongs youth unemployment in The Gambia?

This paper intends to analyse unemployment duration among youths in The Gambia using data from the Gambia Labor Force Survey conducted in 2018. The general profile of unemployed youth shows that unemployment is a major challenge in The Gambia’s labour market. Of the unemployed youths, majority are found to experience long term unemployment while the remaining proportion experience short spell of unemployment. Logistic regression is applied to analyse the effect of education attainment, sex, area of residence, marital status as well as differently able status on unemployment duration. Education attainment, area of residence as well as marital status has shown to have significant effect on youth unemployment duration. Sex and differently able of youths are statistically not significant