Hi. I’m Erik Kusch, a PhD student of Ecoinformatics and Biodiversity who creates and applies novel statistical methods big-data.

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.

Projects

A few things I am currently working on or have finished researching (for now).

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Causes and Processes of Dryland Vegetation Memory

Causes and Processes of Dryland Vegetation Memory

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.

AU Bayes Study Group

AU Bayes Study Group

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.

BIOlogical response RATES to current rates of environmental changes

BIOlogical response RATES to current rates of environmental changes

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.

KrigR - Downloading and Downscaling of ERA5(-Land) data using R

KrigR - Downloading and Downscaling of ERA5(-Land) data using R

An R package designed for intuitive downloading, aggregating, and statistical downscaling of ERA5(-Land) data.

Vegetation Memory across Global Dryland Regions

Vegetation Memory across Global Dryland Regions

Vegetation memory has been proposed as a proxy for ecosystem resilience. Here, I investigate how well this proxy captures processes of vegetation performance.

Recent Publications

Research I have published and that you can read and digest at your leisure.

Conference Talks & Presentations

Stuff I worked on by myself or with others and felt confident enough to put out there in front of people.