Mapa de aptitud para el cultivo de trufa negra (Tuber melanosporum Vitt.) en Cataluña

El objetivo de esta monografía es determinar las zonas de Cataluña más adecuadas para el cultivo de la trufa negra (Tuber melanosporum Vitt.). Para conseguir este objetivo, se han considerado los rangos de valores adecuados para el desarrollo de la trufa negra de los parámetros seleccionados; la precipitación media anual, la precipitación de los meses de verano, la temperatura media anual, la temperatura media del mes más frio, la temperatura media del mes más cálido, el pH y la textura. A partir del Atlas Climático Digital de Cataluña, del Modelo Digital del Terreno y de analíticas de suelos de diferentes localizaciones de Cataluña, se ha cartografiado la aptitud para el cultivo de la trufa negra. Cataluña dispone de 1.582.662 ha aptas para el cultivo de la trufa negra, 506.804 de las cuales necesitarían la aplicación de riegos de soporte o aportaciones de enmiendas calcáreas al suelo. De éstas 1.582.662 ha, 375.007 ha son terrenos que se dedican a cultivos de secano donde son necesarias las subvenciones de la Plítica Agraria Comunitaria para hacerlos rentables, o que han sufrido incendios forestales. El cambio climático global comportará un descenso de la superficie apta para el cultivo de la trufa negra del 14% para el año 2040.

Learning analytics in practice: setting up a laboratory for action research at the Universitat Oberta de Catalunya

Since its inception in 1994 as a purely online university, the Universitat Oberta de Catalunya(UOC) has been able to position itself among the main universities of the Catalan and Spanish university systems. Most of the students at the UOC (currently more than 60,000) are adults who have a profile that could hardly fit into the traditional university system, thus finding in the UOC an opportunity to start or continue their higher education grades, in a very innovative environment. The intensive use of ICT for both theteaching/learning processes and management allowsresearchers and practitioners to obtain data aboutwhat takes place in the UOC Virtual Campus, which is continuously being improved according to suchfindings.

Bio-inspired Mechanisms for Artificial Self-organised Systems

Self-organization is a growing interdisciplinary field of research about a phenomenon that can be observed in the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, complex patterns and behaviours that arise from a collection of entities without an external organizer. As researchers in artificial systems, our aim is not to mimic self-organizing phenomena arising in Nature, but to understand and to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather than attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desirable global properties. In this paper we analyze three forms of self-organization: stigmergy, reinforcement mechanisms and cooperation. The amplification phenomena founded in stigmergic process or in reinforcement process are different forms of positive feedbacks that play a major role in building group activity or social organization. Cooperation is a functional form for self-organization because of its ability to guide local behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we transposed it to some artificial systems and then analyse the strengths and weaknesses of such an approach