Machine Learning
Using machine learning algorithms, we build models that can forecast species distributions and ecosystem responses under various future scenarios.
Explore our projectsSeaweed productivity is strongly related to climatic variables, peaking at temperate latitudes and exhibiting exceptionall...
Stacked species distribution modelling identifies regions of high and low species richness and endemicity of marine forest...
A database structured under Darwin Core standards, offering a stable, straightforward and flexible framework for sharing b...
A project to enhance aquaculture sustainability and suitability while fostering interdisciplinary collaboration.
A project aimed at investigating the effects of climate change on key marine forest species, such as kelp, fucoids and col...