I aim to understand how global and local processes and patterns in biological systems come about and are reinforced thus generating knowledge about the resilience of the Earth’s ecosystems. My PhD project is under the guidance of Alejandro Ordonez and co-supervised by Roberto Salguero-Gómez.
A few things I am currently working on or have finished researching (for now).
Throughout this project, I aim to identify underlying causes - biological and abiotic - to the striking patterns of vegetation memory I identified in a previous project.
I have established and am running a group-exercise for learning Bayesian Statistics from the ground up with an assortment of colleagues. This group is run through zoom and open to anyone.
My PhD project is a part of this greater research framework within which my colleagues and I investigate how species compositions and interactions are shaped.
My PhD project and its working packages.
R package designed for intuitive downloading, aggregating, and statistical downscaling of ERA5(-Land) data.
Vegetation memory has been proposed as a proxy for ecosystem resilience. Here, I investigate how well this proxy captures processes of vegetation performance.
A couple of publications I have submitted and am awaiting a publication decision on.
Research I have published and that you can read and digest at your leisure.
Stuff I worked on by myself or with others and felt confident enough to put out there in front of people.
Some of my ideas for how to improve coding practices that I presented to the SalGo-Team.
A presentation of my PhD plans to the SalGo-Team.
A web-based workshop to introduce the
KrigR which introduces intuitive downloading and downscaling methods for ERA5(-Land) climate reanalysis data to
A poster about my recent vegetation memory in global dryland research I presented at ISEC 2020.
A short introduction talk to my
KrigR in its early development.