
1st year
Curriculum: Agricultural and Forest Engineering
Supervisor: Leonardo Conti
Email: caterina.sottili@unifi.it
Office address: Via di San Bonaventura, 13, 50145, Firenze
I am Caterina Sottili, born on July 26, 1991, in Fiesole (FI). I hold a Bachelor's degree in Wildlife Science and a Master's degree in Wildlife and Environmental Science and Management, both from the University of Florence, at the Department of Agricultural, Food, Environmental and Forestry Science and Technologies. From January 2024 to November 2025, I worked as a research fellow at the Department of Agricultural, Food, Environmental and Forestry Science and Technologies, where I started the PhD in Sustainable Management of Agricultural, Forestry, and Food Resources, Curriculum Agricultural and Forest Engineering (IAF). I participate to the Erasmus+ Traineeship project two times, first for a period of 3 months at Mendel University, in Brno, Czech Republic, where I worked on a monitoring project of the Eurasian lynx (Lynx lynx) in the Moravian-Silesian Carpathians, (CZ), then for 3 months at Associação Transumância e Natureza, in Figueira de Castelo Rodrigo, Portugal, where I worked on a project concernig the monitoring and conservation of Red kite, Egiptian vulture, Eurasian Griffon vulture and Cinereus vulture.
My interests have always been focused on wildlife and environment, particularly in terms of monitoring and conservation. For my master's thesis, I also worked on Habitat Suitability Modelling (HSM) and Species Distribution Modelling (SDM), mainly using QGIS software. My PhD research investigates the Habitat suitability of the Rook (Corvus frugilegus) wintering population in Northern Italy through maximum entropy models using MaxEnt models with the aim to analyse the population (size, trend and distribution), to identify the factors that potentially influencing the habitat frequentation, to develop habitat suitability maps of the species, to identify the areas with a higher probability of species occurrence and to determine the bioclimatic factors related to climate change (particularly global warming) that could influence the migration of this species in its wintering quarters.
Ultimo aggiornamento
28.01.2026