Acronym: | M:EAT |
Description: |
The course aims to give students a thorough understanding of the various processes of acquisition and analysis of data in the scientific areas of ecology and environment, as well as the main epistemological principles behind those processes.
Understand how communities are described, their diversity in space and time and the factors that generate diversity.
To know diferente population ecology notions, that belong to microorganisms and macroorganisms.
Provide an integrated and coherent body of knowledge about the functioning of ecosystems.
Students are expected to obtain a global view about the biodiversity and habitat types in Portugal and the Iberian Peninsula.
Understanding what GIS is and what it can be used for. Learn the basic aspects related to the GIS.
To provide essential knowledge on Biotechnological processes applied to environmental issues, at the level of theoretical fundamentals, applications and methodologies.
Students must learn and discuss recent trends in the implementation of Environmental Education, in the framework of sustainability, but having always present the basis and original concepts of the Environmental Education.
1. Understanding the usefulness and the limitations of ecological models in the analysis of modern environmental problems.
2. Understanding the steps in the construction of ecological models, and identifying the main data types and sources in ecological modeling.
3. Conceptualizing, calibrating, evaluating and spatializing ecological models for specific applications.
4. Implementing scenarios of environmental change and interpreting the predictions of models on ecological grounds.
Provide an integrated and coherent body of knowledge in the field of ecosystem restoration.