The aim of the RIPAMED project is to assess the role of Mediterranean riparian corridors as green N filters and to identify under which climatic conditions riparian soils act either as sources or sinks of nitrate and N2O.
Our group explores the influence of endogenous population processes and exogenous stochastic forces that drive wildlife population dynamics. We use an empirical approach by monitoring individual and population data in the field to study the behavior of populations at spatial and temporal scales.
Theoretical study of ecological and evolutionary systems from an interdisciplinary and dynamic perspective, which integrates the biology and physics of these systems, using mathematical analysis and modeling, and computational simulation as main tools.
The development of effective strategies for the conservation of Cystoseira residual forests based on new tools to monitor them is of fundamental importance today. This project has been designed to provide these tools and assist environmental policy makers in the management of Cystoseira forests.
Development and application of artificial intelligence tools to optimize the speed of response to alerts sent by citizens through the Mosquito Alert platform.
Investigating the effects of droughts on freshwater fish populations. The research project seeks to understand how individuals and groups of fish cope with severe droughts.
AEROSMIC studies the functional traits present in the aerial microbiota with long-range dispersal in the free troposphere using one of the largest long-term data sets available at a high mountain point above the boundary layer collected by our own group of investigation.
The expansion of Ae. albopictus in the Iberian Peninsula and the arrival of Ae. aegypti to the Canary Islands have increased the risk of serious outbreaks of dengue, chikungunya or Zika in Spain.
Many organisms form social systems, but most research does not consider collective processes to explain their ecological and evolutionary consequences for individuals and populations in stochastic environments. This application will help produce a new synthesis hitherto not considered.
The project consists of creating a Versatile Observatory of Emerging Infectious Diseases (VEO) that makes it possible to bring together high-quality information from which to develop early warning tools. The Observatory will monitor emerging infectious diseases, as well as the emergence of bacterial resistance, in order to carry out a risk assessment.
C/ d’accés a la Cala St. Francesc, 14
Blanes – Girona – 17300 (ESPAÑA)
Phone: +34 972 336 101
E-mail: info@ceab.csic.es
