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.
An `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.