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The quality of ecosystems is affected by the actions of different stakeholders who use them in a variety of ways. In order to understand this complex relationship between humans and nature, it is vital to understand the complexity of the interacting agents. The authors in this book attempt to do this by applying multi-agent systems to the problems of ecosystem management. The multi-agent approach to ecosystem management is a relatively new and rapidly developing field which takes a formal computational approach towards the interaction of humans with their environment. The authors highlight some of the promising new methodologies which are emerging in the field from disciplines such as computer science and computational social science. They move on to address a number of important topics including diffusion processes, common-pool resources, land use change and the participatory use of models, in an attempt to solve contemporary management issues. They clearly demonstrate the potential utility of multi-agent systems in the context of theoretical problems and practical case studies.
This framework presents ten interrelated principles/elements to guide Sustainable Agricultural Mechanization in Africa (SAMA). Further, it presents the technical issues to be considered under SAMA and the options to be analysed at the country and sub regional levels. The ten key elements required in a framework for SAMA are as follows: The analysis in the framework calls for a specific approach, involving learning from other parts of the world where significant transformation of the agricultural mechanization sector has already occurred within a three-to-four decade time frame, and developing policies and programmes to realize Africa’s aspirations of Zero Hunger by 2025. This approach entails the identification and prioritization of relevant and interrelated elements to help countries develop strategies and practical development plans that create synergies in line with their agricultural transformation plans. Given the unique characteristics of each country and the diverse needs of Africa due to the ecological heterogeneity and the wide range of farm sizes, the framework avoids being prescriptive.
This book introduces state-of-the-art approaches, methods and research, focusing on smart management of rainwater. In addition, it provides an overview of projects from across the world, illustrating how rainwater-smart management has been implemented in drylands. Focusing on the scientific perspective it demonstrates how rural dryland agriculture can be improved. It also documents the wealth of rainwater-smart know-how available today, and replicates and transfers results to other countries and regions, to encourage cross-sector interactions among various stakeholders, such as practitioners from governmental and public organisations, policy- and decision-makers, and teaching staff from academic scientific institutions. The contributors showcase vital lessons learned from research, field projects and best-practice examples. They address the integrated use of rainwater harvesting management with landscape restoration practices and water-, and climate-smart agriculture for food security and poverty alleviation in arid and semi-arid areas. Original research, combined with the contributors’ synthetic approach, lays a foundation for new concepts and ideas. Through case studies and research reports, the book discusses all the relevant issues necessary for the comprehensive analysis and successful implementation of the technologies in rainwater management. Highlighting the working principles and technical recommendations with regard to cost-efficient rainwater-smart solutions, it is of interest to practitioners. It is also a valuable resource for academic specialists, professionals and students, since many development agencies are funding rainwater harvesting for irrigation purposes.
A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.
The humid highlands in sub-Saharan Africa (SSA) are characterized by high population densities and require intensification. The Consortium for Improving Agriculture-based Livelihoods in Central Africa (CIALCA) has set up a research for development platform in various mandate areas in DR Congo, Burundi, and Rwanda, aiming to identify improved production, market, and nutrition options and facilitating the access for development partners to these options. This platform is supported by capacity building, multi-stakeholder dialogue, and monitoring and evaluation efforts. The conference, facilitated by CIALCA, aimed to (i) take stock of the state-of the art in agricultural intensification in the highlands of SSA and (ii) chart the way forward for agricultural research for development in the humid highlands of SSA, and more specifically in the recently launched Humidtropics Consortium Research Programme, through keynote, oral and poster presentations, and strategic panel discussions.