O debate inclui a apresentação do livro “Riscos Globais e Biodiversidade”, da autoria de Maria Amélia Martins-Loução (Ciências ULisboa).

This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets. It also includes an in-depth review of the different types of data used to measure biodiversity and their problems and limitations.

The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems. Basic knowledge will be provided through theoretical and practical lessons on how to select and use the most suitable metrics based on the analysis of multiple compartments of the ecosystems.

This course aims to walk through the grounds of modern botany studies, covering subjects that have been excluded from most academic curricula.

This is a mostly practical course offering an overview on different community ecology and macroecological methods and software. These will include all steps of a research project, from the optimal sampling of communities to process inference from large-scale patterns of taxon, phylogenetic and functional diversity.

The course provides essential skills and knowledge that enable the participants to develop climate change adaptation strategies.

The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.

Ciências ULisboa associa-se a esta comemoração, com atividades no dia 14 de setembro.

Under the general framework of Global Change Ecology, the goal of this course is to provide the participants with the most recent and practical knowledge on the use of Functional Diversity.

This course aims at providing students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. It also includes an introduction to modeling, simulations and Bayesian statistics.