
Florian Hartig
Theoretical ecologist and ecological data scientist
W3 Professor,
University of Regensburg
About me
I am a theoretical ecologist and ecological data scientist. I currently act as head of the Theoretical Ecology Group, as well as interim head of the Chair for Plant Ecology, Deputy Dean of Research of the Faculty of Biology and Preclinical Medicine, and coordinator and head of the examination committee of the M.Sc. programme Ecology, Evolution & Conservation (EEC).
Research
With my research group, I study the mechanisms and principles underlying the patterns of biodiversity in ecology, evolution and conservation, using computer simulations, statistical methods and, more recently, algorithms from machine learning and artificial intelligence. A particular focus of our work is understanding the mechanisms underlying community assembly and the emergence of biotic interaction networks, but also macroecological and macroevolutionary patterns such as species distributions and diversification patterns.
Recurring themes across this work:
- Community assembly and biotic interaction networks
- Biodiversity patterns at community, biogeographic and evolutionary scales
- Species distribution models and diversification dynamics
- Simulation-based inference and Bayesian statistics
- Machine learning and deep learning applications in ecology
- Articles
- 100+
- Co-authors
- 632+
- Citations
- 27,963
- h-index
- 55
Citations and h-index per Google Scholar, July 2026. Article and co-author counts per Scopus.
Selected publications
Novel community data in ecology — properties and prospects
Machine learning and deep learning — a review for ecologists
Studying speciation and extinction dynamics from phylogenies: addressing identifiability issues
Is variation in conspecific negative density dependence driving tree diversity patterns at large scales?
The latitudinal diversity gradient: novel understanding through mechanistic eco-evolutionary models
EU agricultural reform fails on biodiversity
Software
DHARMa
An R package for residual diagnostics for hierarchical (multi-level / mixed) regression models.
BayesianTools
An R package for the Bayesian calibration of process-based models.
Contact
Florian HartigFaculty of Biology and Preclinical Medicine
University of Regensburg
Universitätsstraße 31
93053 Regensburg, Germany
To contact me or my secretary, please see our team page. You can also reach me on Bluesky or LinkedIn.