Geospatial-based Modeling and Prediction of Marine Bird Distribution in the Chilean Patagonia

This internship is included in a bigger perspective that aims to characterize and organize the environmental management of fjords. Based on monitoring data from 2013 to 2022, the density of around twenty bird species has been determined. Therefore, from these data it will be possible to create a geographical model to determine the presence of certain species according to the studied sectors.
With the use geographic information systems modelling tools such as MaxEnt and Forest-based Classification and Regression, the likely presence of certain species and climatic and oceanographic factors having a major influence on the distribution of birds in the territory will be determined. Other indicators will also be used to enrich the quality of the research.
The project will help understand dynamics taking place in the southernmost tip of the American continent. The elaborated models will help understand bird population repartition and will also facilitate predictions for years to come.

Faculty Supervisor:

Liliana Perez

Student:

Partner:

University of Magallanes

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment; Other

University:

Université de Montréal

Program: