MSCA PF Fellow: Camilla Sguotti


PDFProject:  RESET - Resilience Estimation to SET management goals in marine ecosystems


Camilla Sguotti

 

MSCA Fellow: Camilla Sguotti

UNIPD Supervisor: Alberto Barausse

Department: Biology

Total Contribution: Euro 188.590,08 

Project Duration in months: 24

Find out more: https://cordis.europa.eu/projects/en

 

Camilla Sguotti received a Bsc in Biology and a Msc in Marine Biology in 2014 from University of Padova. While doing her master thesis at Cefas (Center for Environment Fisheries and Aquaculture Science) in UK, she developed her passion for the use of statistical modelling to understand how marine populations and ecosystems react to anthropogenic stressors. After a year working in Chioggia as fisheries observer under CNR, in February 2016 she started her PhD at University of Hamburg (Germany) under the supervision of Prof. Christian Möllmann. Here, she started to work on fish population dynamics and in particular she started to study the presence of regime shifts and non-linear dynamics in marine populations. These dynamics are particularly interesting because they can affect the recovery of marine populations and thus their management. During her PhD she had the possibility to visit different research groups such as the University of Oslo and the Economic Resource Group in Wageningen. After obtaining her PhD in February 2019 she got a PostDoc position at University of Hamburg under the project SeaUseTip to deepen her knowledge on regime shifts and resilience of marine ecosystems and how to include these dynamics in management. During her PostDoc she visited the Scripps Institute of Oceanography and the University of Santa Barbara. Her project as MSCA fellow at University of Padova at the Biology Department, under the supervision of Prof. Alberto Barausse, aims at determining the resilience of marine ecosystems, in particular the Northern Adriatic Sea using both modelling approaches and local ecological knowledge from the fishers. The final aim of the project is to understand how models and indicators developed can be included and considered into management, in particular in the marine strategy framework directive.