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Displaying 636 - 640 of 1605decision framework for wetland management in a river basin context: The “Abras de Mantequilla” case study in the Guayas River Basin, Ecuador
The paper presents the development and implementation of a decision support system (DSS) for wetland management in a river basin context under data scarce conditions. It is shown that by combining hydrological, socioeconomic, institutional and biological indicators in a participative approach, a better understanding of the interactions between the different factors affecting the “wetland socio-ecological system conditions” can be created. For this purpose, mathematical models, expert judgment and stakeholder preferences were combined into an integrated DSS framework.
Managing carbon in a multiple use world: The implications of land-use decision context for carbon management
Human land use contributes significantly to the growth of greenhouse gases in the atmosphere. Changes in land management practices have been proposed as a critical and cost-effective mechanism for reducing greenhouse gas emissions and promoting the storage of additional carbon in vegetation and soils. However many discussions of the potential for land use to mitigate climate change only take into account biophysical factors such as vegetation and land cover and neglect how the agency of land owners themselves affects whether additional carbon storage can be achieved.
Explaining smallholder maize marketing in southern and eastern Africa: The roles of market access, technology and household resource endowments
Research on household food grain sales behavior in developing countries has tended to focus on the roles of market access and prices to explain why many rural households do not sell staple crops, though recent literature suggests that low household asset endowments may also be key constraints. We use econometric analysis of panel data from smallholders in Kenya, Mozambique, and Zambia to inform the design of public investments that will enable smallholders to increase their maize sales.
GeoDMA—Geographic Data Mining Analyst
Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of land remote sensing satellites from USA, China, Brazil, India and Europe will produce in 1year as much data as 5 years of the Landsat-7 satellite. Thus, the research community needs new ways to analyze large data sets of remote sensing imagery. To address this need, this paper describes a toolbox for combing land remote sensing image analysis with data mining techniques.
Grazing management or physiography? Factors controlling vegetation recovery in Mediterranean grasslands
Grazing intensification and abandonment are increasing the risk of degradation of Mediterranean grasslands. The development of techniques for monitoring grazing effects on herbaceous vegetation is an essential need for the management of these rangelands. However, the high variability of these systems make physiographical and management effects hard to disentangle and quantify. We present a methodology to support rangeland management and assess grazing effects on environmentally heterogeneous areas, and provide an example of its application in a Mediterranean rangeland in central Spain.