WOW: wiki aided organization draWing

As the world evolves, organizations are becoming more and more complex, and the need to understand that complexity is increasing as well. With this demand, arises organizational engineering, which is a subject that emerged with the purpose to make organizations easier to understand, by putting in practice the concept of organizational self-awareness, which means that that the collaborators who are part of an organization, need to understand it and know what their role in it is. The DEMO methodology (Design Engineering Methodology for Organizations), came up with the purpose of representing these organizations’ self-awareness, through the definition and creation of consistent and coherent diagrams. Semantic wikis have features that can help in enterprise modelling. UEAOM (Universal Enterprise Adaptive Organization Model) is a model that allows the specification and dynamic evolution of languages, meta-models, models, and their representations as diagrams and tables. In this project, it was implemented a system based on UEAOM, and Semantic Media Wiki which allows a graphical creation and edition of diagrams. UEAOM can be divided into the meta-modeling level where a language is defined, and the modelling level where instances of classes of that language are created. The system we developed focuses on the modeling level, but will takes as a basis the project that focuses on meta-modeling. The DEMO language was used as an example for the implementation and tests of a graphical editor, based in web technologies and SVG, integrated with SemanticMediaWiki to allow an intuitive, coherent and consistent navigation and editing of organization diagrams.

Evolution of the landscape of Madeira Island: long-term vegetation dynamics

The aim of this thesis was to evaluate historical change of the landscape of Madeira Island and to assess spatial and temporal vegetation dynamics. In current research diverse “retrospective techniques”, such as landscape repeat photography, dendrochronology, and research of historical records were used. These, combined with vegetation relevés, aimed to gather information about landscape change, disturbance history, and vegetation successional patterns. It was found that landscape change, throughout 125 years, was higher in the last five decades manly driven by farming abandonment, building growth and exotic vegetation coverage increase. Pristine vegetation was greatly destroyed since early settlement and by the end of the nineteenth century native vegetation was highly devastated due to recurrent antropogenic disturbances. These actions also helped to block plant succession and to modify floristical assemblages, affecting as well as species richness. In places with less hemeroby, although significant growth of vegetation of lower seral stages was detected, the vegetation of most mature stages headed towards unbalance between recovery and loss, being also very vulnerable to exotic species encroachment. Recovery by native vegetation also occurred in areas formerly occupied by exotic plants and agriculture but it was almost negligible. Vegetation recovery followed the successional model currently proposed, attesting the model itself. Yet, succession was slower than espected, due to lack of favourable conditions and to recurrent disturbances. Probable tempus of each seral stage was obtained by growth rates of woody taxa estimated through dendrochronology. The exotic trees which were the dominant trees in the past (Castanea sativa and Pinus pinaster) almost vanished. Eucalyptus globulus, the current main tree of the exotic forest is being replaced by other cover types as Acacia mearnsii. The latter, along with Arundo donax, Cytisus scoparius and Pittosporum undulatum are currently the exotic species with higher invasive behaviour. However, many other exotic species have also proved to be highly pervasive and came together with the ones referred above to prevent native vegetation regeneration, to diminish biological diversity, and to block early successional phases delaying native forest recovery.