PRESENTATION

Follow us on twitter

The Institute of Aquatic Ecology (Institut d’Ecologia Aquàtica, IEA) of the University of Girona is a research center founded in 1987 and devoted to all aquatic ecosystems, including marine and inland water habitats (rivers, lakes and reservoirs, and wetlands). It is currently organised in three Sections (Limnology, Microbiology and Marine biology), corresponding to three research groups. It presently consists of over 30 researchers on a wide array of water ecology topics (including studies on bacteria, algae, macroinvertebrates and fish), what facilitates multidisplinary research.

Most of the IEA belongs to EcoAqua (research group recognized and funded by the Generalitat of Catalonia: 2014 SGR 484 and 2017 SGR 548). Members of the Marine Biology section belong to the also SGR-funded group MedRecover (SGR 1521) and coordinate the web page Health and Fish.

Please use your browser’s search engine to find what you are looking for. If you wish to stay connected to our projects and activitites, please subscribe to our newsletter “EcoAqua News” (=<4 per year).

For media enquiries, please send an email to dir.iea@udg.edu.

NEWS

2022-10-03T07:29:22+00:00

New article: The importance of seawater tolerance & native status in mediating the distribution of inland fishes

Our objective is to understand the role of environmental variables explaining the distribution of three major eco-evolutionary groups of inland fishes (Darlington's divisions: primary, i.e. strict freshwater; secondary, i.e. salt-tolerant; and peripheral, i.e. diadromous and marine origin), and how these variables are related to fish traits. We modelled distributions of the most common inland fish species across the Iberian Peninsula to compare the importance of different predictors among the three Darlington's divisions and between native and alien species. To explore the importance of specific environmental variables in determining the distribution of different traits of inland fish, variable importances obtained from species distribution models were subjected to a redundancy analysis.

AGENDA

More activities