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 Andreas Norlin

Andreas Norlin

Early Career Researcher

School of Earth and Environmental Sciences

Email
norlina@cardiff.ac.uk
Campuses
Room 1.34, Main Building, Park Place, Cardiff, CF10 3AT

Overview

I am an early stage researcher in the project MixITiN where I am working as ESR6 on the project titled Life in Oceanic Greenhouses; a systems dynamics approach. My goal is to use systems dynamics modelling to elucidate the behaviour and interactions of endosymbiotic Specialist Non-Constitutive Mixoplankton (eSNCM).

Biography

2018-present: Early Stage researcher 6 in MixITiN, working with systems dynamics modelling of endosymbiotic Specialist Non-Constitutive Mixoplankton

2014 to 2016: Masters degree in biology from University of Copenhagen, Denmark, where I specialised in marinebiology. My masters project was concerned with describing a new species of Cryptophyceae from Baffin Bay in the Arctic.

2010-2014: Bachelors degree in biology from University of Copenhagen, Denmark.

I am currently working under the MixITiN umbrella, which is an EC funded project with the aim to bring mixoplankton into mainstream marine reasearch.

My specific project within MixITiN is concerned with trying to explain the interactions and behaviour of eSNCM through systems dynamics modelling. By integrating field data and parameterization the models using the field data as well as experimental data I aim to explore the ecophysiology, photosymbiosis and biogechemistry of eSNCM in groups such as Rhizarians and Dinoflagellates. This is done through exploration of the model output when running simulations under varying abiotic conditions.

My main collaborators are within the MixITiN consortium where I have undertaken training in Denmark at UCPH and in Crete at HCMR. I am working closely with Joost Mansour (ESR 6) of MixITiN who is located in Roscoff working at SBR; together we have done fieldwork in Villefranche sur-mer as well as on-board the research vessel Thalasa during the MOOSE-GE 2019.

The ultimate goal of my research is to produce systems dynamics models that can accurately simulate eSNCM in the various ecosystems they are found and present these models to the research community for incorporation in larger scale ecosystem models.