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Development and application of soil producitivty indices for Central America: SPIES (Soil Productivity Indices and their Erosion Sensitivity).

Project Leader
Rampazzo Nicola, Project Leader
Type of Research
Applied Research
Project partners
Cranfield University, Wharley End, MK43 0AL Cranfield, Bedford, United Kingdom.
Contact person: Dr. Anita Folly, Dr. John Quinton;
Function of the Project Partner: Partner
National Agricultural University, School of Soils and Water, km 12 1/2 Carretera Norte, Managua, Nicaragua.
Function of the Project Partner: Partner
University of Chapingo, 56230 Chapingo, Mexico.
Contact person: Dr. Andres Aquilar Santelises;
Function of the Project Partner: Partner
University of Costa Rica, Ciudad Universitaria Rodrigo Facio, 2060 San José, Costa Rica.
Contact person: Dr. Freddy Sancho;
Function of the Project Partner: Partner

Further information:

Muhar Andreas, Project Staff
Mentler Axel, Project Staff
Strauß Peter, Project Staff
Magagna Barbara, Project Staff (bis 31.03.2007)
BOKU Research Units
Institute for Landscape Development, Recreation and Conservation Planning
Institute of Soil Research
Funded by
Commission of the European Communities, Rue de la Loi, Brussels, European Union
Modelling of interactions between soil erosion and soil productivity in a GIS, practical application in Costa Rica, Nicaragua and Mexico.
Short title: SPIES - Soil Productivity Indexes of Central America and their Erosion Sensitivity. The project is to develop a methodology to estimate the relationship between soil erosion and soil productivity for Central American conditions. Based on this knowledge, an extended Productivity-Index-model will be linked to the European Soil Erosion Model (EUROSEM), which first will be validated under conditions of Central America. Once established, the combination of the extended Productivity-Index-model - EUROSEM (SPIES) will serve as tool to predict sustainability of agricultural land use using different environmental scenarios. To provide usefull tools for decision makers, SPIES, combined with a GIS will be applied on catchment scale. The results of this approach will also be supported by the development of maps and animation techniques, in order to assess the time horizon, in which a current land use can be performed at a certain productivity level.
pedology; erosion (erosion control); interdisciplinary agriculture and forestry; geographic information systems (GIS);
soil erosion; soil productivity; modelling;

Folly, A., Magagna, B., Muhar, A., Quinton, J., Sancho, F. (2000): The Integration of an Event-Based Soil Erosion Model with a Geographic Information System for the Prediction of Soil Productivity Changes..

In: Conese, C., Falchi, M.A. (Eds.): Proceedings 7th International Conference on Computer Technology in Agriculture. 122-129, Supplemento agli Atti dei Georgofili 2000, Accademia dei Georgofili, Florence, Italy

Magagna, B., Folly, A., Hönninger, K., Muhar, A., Quinton, J., Sancho, F., Strauss, P. (2000): The SPIES Model: Data flow and GIS linkage between a soil erosion and a soil productivity model..

In: Space Applications Institute, EC Joint Research Centre, Ispra (Ed.): Proc. 5th EC GIS Workshop Stresa 259-268

Magagna, B; Muhar, A; Rampazzo, N; Hönninger, K (1999): Raster-GIS als Plattform für die Kopplung von Bodenproduktivitäts- und Erosionsmodellen..

Vermessung und Geoinformation, 87, 2-3, 100-105

Veihe, A., Magagna, B., Muhar, A., Quinton, J., Sancho, F., Strauss, P., Waldingbrett, A. (1999): Modelling soil productivity changes: the use of the SPIES application in Costa Rica..

In: Musy, A. et al. (eds.): Emerging technology for sustainable land and water management. 2nd Inter-Regional Conference on Environment, Presses Polytechnique et Universitaires Romandes, Lausanne, Switzerland (CD-ROM)

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