Reactions of different populations of Corylus avellana L. and Prunus spinosa L. to drought and frost stress under controlled conditions

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The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species’ population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate ‘intactness scores’: the remaining proportion of an ‘intact’ reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region’s major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems

Seasonal Growth, Physiological and Biochemical Characterization of Five Prunus spinosa Ecotypes

Prunus spinosa species is distributed across wide range of geographical areas which are subject to climatic, edaphic factors and long-term divergent selection. This could lead to local adaptation hence ecotypes in terms of morphological, physiologically and or biochemical inclination to their local environment. To investigate whether the species (Prunus spinosa) has been influenced by their local environmental conditions and whether populations (ecotypes) are adapted to local conditions, cuttings from different demarcated areas of origin in Germany and Italy were sourced and cultivated optimally in common container area. Growth, bud sprout and bud set were evaluated in spring, summer and autumn respectively. Soluble sugars (Glucose, fructose, sucrose and starch), N, P, K, and proline concentrations were analysed in spring and autumn for three years. The findings indicated that plants grown from different locations mostly differed in N, P, K, soluble sugars and starch in spring. Nonetheless, these geographic variations were hardly observed either in summer or in autumn. On phenology, German populations did not differ at all in phenology (flushing and growth cessation) while the Italian population always sprouted earlier and ceased growth later. The results indicate that the German populations are not differentiated by climatic variations across latitude or altitude. In contrast the Italian population is differentiated from German population Brandenburg mostly by latitudinal differentiation. Nevertheless, their inherent ability to sprout earlier and late  growth cessation might expose the population to frequent frost damage when transplanted to more northern latitude

Master of Science in Rangeland Ecosystem Management Curriculum

The combination of inadequate understanding of the dynamics in rangeland ecosystems and local livelihood systems are to blame for the inappropriate policy actions, unabated rangeland degradation trends, impoverishment of communities living in the rangelands, and their increased vulnerability to various shocks including climate change. The root cause of these problems is mainly linked to lack of inadequate skilled human resources, trained in rangeland ecosystem management at the postgraduate level, to tackle the complex biodiversity interactions in the rangeland ecosystems. The philosophy of this degree programme is, therefore, anchored in the paradigm that rangelands are socio-ecological systems with complex biophysical, socio-cultural and economic interactions, which call for specialized managers and decision makers. This programme therefore, aims to produce a critical mass of rangeland ecosystem management experts equipped with requisite skills, technologies and innovations to further research, apply appropriate practices and influence policies in favour of resilient rangeland ecosystems and livelihoods. Trained skilled manpower is expected to act as a catalyst for enhancing the productivity and sustainability of rangeland ecosystems and livelihoods through practice, policies and research

Master of Science in Climate-Smart Agriculture Curriculum

Food production faces interlinked challenges with increasing uncertainties from the increasing impacts of climate change and variability. The underlying philosophy of CSA is the development and promotion of an integrative approach that results in landscape management for productive croplands, livestock, forests, and fisheries. It aims for improved food and nutrition security and equitable livelihoods. The program seeks to support the achievement of three outcomes i.e. increased productivity (producing more food to improve food, nutrition, and income security and livelihood of the world’s resource-poor farmers in rural areas); enhanced resilience (contributing to training for reduced vulnerability to drought, pests, disease, and other shocks); reduced emissions (reducing emissions from production systems to protect the environment while increasing productivity); and improved capacity to adapt (increasing productivity in the face of extreme climatic weather patterns). The program anchors on existing knowledge, technologies, and principles of sustainable agriculture. The need to increase carbon sinks and reduce GHGs emissions is a priority consideration, especially during training for a sustainable agro-ecosystem. Its design explicitly focuses on addressing productivity and climate change mitigation and adaptation with consideration of the interactions and tradeoffs existing between them. Finally, the CSA program aims to support funding opportunities for innovation and technology development for extension through research investment

Bachelor of Science in Rangeland Ecosystem Management Curriculum

The School of Agriculture, Earth and Environmental Sciences strongly believes in supporting advances in various aspects of rangeland science and community development practices in the rangeland ecosystem. There is increasing need to have well trained personnel with expertise in sustainable rangeland management, to provide leadership and stewardship for a sustainable framework for managing rangelands. This paradigm underlies the philosophy of linking the programme delivery with hands-on training, support to applied research and policy support ability to effectively contribute to sustainable rangeland ecosystem development and management. Universities have a key role in providing technical support in theory and practice by being proactive in training, research and innovation for sustainable rangeland resource management. This degree programme will contribute to the goal of improving the rangeland ecosystem health, while supporting sustainable livelihood options of communities and biodiversity in these ecosystems

Multiple Virus Lineages Sharing Recent Common Ancestry Were Associated with a Large Rift Valley Fever Outbreak among Livestock in Kenya during 2006-2007▿ †

Rift Valley fever (RVF) virus historically has caused widespread and extensive outbreaks of severe human and livestock disease throughout Africa, Madagascar, and the Arabian Peninsula. Following unusually heavy rainfall during the late autumn of 2006, reports of human and animal illness consistent with RVF virus infection emerged across semiarid regions of the Garissa District of northeastern Kenya and southern Somalia. Following initial RVF virus laboratory confirmation, a high-throughput RVF diagnostic facility was established at the Kenyan Central Veterinary Laboratories in Kabete, Kenya, to support the real-time identification of infected livestock and to facilitate outbreak response and control activities. A total of 3,250 specimens from a variety of animal species, including domesticated livestock (cattle, sheep, goats, and camels) and wildlife collected from a total of 55 of 71 Kenyan administrative districts, were tested by molecular and serologic assays. Evidence of RVF infection was found in 9.2% of animals tested and across 23 districts of Kenya, reflecting the large number of affected livestock and the geographic extent of the outbreak. The complete S, M, and/or L genome segment sequence was obtained from a total of 31 RVF virus specimens spanning the entire known outbreak period (December-May) and geographic areas affected by RVF virus activity. Extensive genomic analyses demonstrated the concurrent circulation of multiple virus lineages, gene segment reassortment, and the common ancestry of the 2006/2007 outbreak viruses with those from the 1997-1998 east African RVF outbreak. Evidence of recent increases in genomic diversity and effective population size 2 to 4 years prior to the 2006-2007 outbreak also was found, indicating ongoing RVF virus activity and evolution during the interepizootic/epidemic period. These findings have implications for further studies of basic RVF virus ecology and the design of future surveillance/diagnostic activities, and they highlight the critical need for safe and effective vaccines and antiviral compounds to combat this significant veterinary and public health threat

Tropical Africa’s first testbed for high-impact weather forecasting and nowcasting

Testbeds have become integral to advancing the transfer of knowledge and capabilities from research to operational weather forecasting in many parts of the world. The first high-impact weather testbed in tropical Africa was recently carried out through the African SWIFT program, with participation from researchers and forecasters from Senegal, Ghana, Nigeria, Kenya, the United Kingdom, and international and pan-African organizations. The testbed aims were to trial new forecasting and nowcasting products with operational forecasters, to inform future research, and to act as a template for future testbeds in the tropics. The African SWIFT testbed integrated users and researchers throughout the process to facilitate development of impact-based forecasting methods and new research ideas driven both by operations and user input. The new products are primarily satellite-based nowcasting systems and ensemble forecasts at global and regional convection-permitting scales. Neither of these was used operationally in the participating African countries prior to the testbed. The testbed received constructive, positive feedback via intense user interaction including fishery, agriculture, aviation, and electricity sectors. After the testbed, a final set of recommended standard operating procedures for satellite-based nowcasting in tropical Africa have been produced. The testbed brought the attention of funding agencies and organizational directors to the immediate benefit of improved forecasts. Delivering the testbed strengthened the partnership between each country’s participating university and weather forecasting agency and internationally, which is key to ensuring the longevity of the testbed outcomes

Tropical Africa’s first testbed for high-impact weather forecasting and nowcasting

Testbeds have become integral to advancing the transfer of knowledge and capabilities from research to operational weather forecasting in many parts of the world. The first high-impact weather testbed in tropical Africa was recently carried out through the African SWIFT program, with participation from researchers and forecasters from Senegal, Ghana, Nigeria, Kenya, the United Kingdom, and international and pan-African organizations. The testbed aims were to trial new forecasting and nowcasting products with operational forecasters, to inform future research, and to act as a template for future testbeds in the tropics. The African SWIFT testbed integrated users and researchers throughout the process to facilitate development of impact-based forecasting methods and new research ideas driven both by operations and user input. The new products are primarily satellite-based nowcasting systems and ensemble forecasts at global and regional convection-permitting scales. Neither of these was used operationally in the participating African countries prior to the testbed. The testbed received constructive, positive feedback via intense user interaction including fishery, agriculture, aviation, and electricity sectors. After the testbed, a final set of recommended standard operating procedures for satellite-based nowcasting in tropical Africa have been produced. The testbed brought the attention of funding agencies and organizational directors to the immediate benefit of improved forecasts. Delivering the testbed strengthened the partnership between each country’s participating university and weather forecasting agency and internationally, which is key to ensuring the longevity of the testbed outcomes