Publications
Here you can find published papers by members of the Biodiversity Lab (starting in 2022)
Deep learning segmentation model produces accurate biodiversity predictions at 10 m spatial resolution
Research Square Preprints
Tobias Andermann, Johan Häggmark, Patrik Olsson, Alice Högström
​
2024
Exploring Paleogene Tibet's warm temperate environments
through target enrichment and phylogenetic niche modelling of
Himalayan spiny frogs (Paini, Dicroglossidae)
Molecular Ecology
Sylvia Hofmann, Dennis Rödder, Tobias Andermann, Michael Matschiner, Jendrian Riedel, ...+11 authors..., Daniel Jablonski, Joachim Schmidt, Lars Podsiadlowski
​
2024
Undiscovered bird extinctions obscure the true magnitude
of human-driven extinction waves
Nature Communications
Rob Cooke, Ferran Sayol, Tobias Andermann,Tim Blackburn, Manuel Steinbauer, Alexandre Antonelli, Søren Faurby
​
2023
Madagascar’s extraordinary biodiversity:
Evolution, distribution, and use
Science
Alexandre Antonelli, ...+8 authors..., Tobias Andermann, ...+73 authors..., Hélène Ralimanana
​
2022
Madagascar’s extraordinary biodiversity:
Threats and opportunities
Science
Hélène Ralimanana, ...+11 authors..., Tobias Andermann, ...+70 authors..., Alexandre Antonelli
​
2022
The origin and evolution of open habitats in North America inferred by Bayesian deep learning models
Nature Communications
Tobias Andermann, Caroline Strömberg, Alexandre Antonelli, Daniele Silvestro
​
2022
Estimating Alpha, Beta, and Gamma Diversity
Through Deep Learning
Frontiers in Plant Sciences
Tobias Andermann, Alexandre Antonelli, Russell Barrett, Daniele Silvestro
2022
Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence
Frontiers in Plant Sciences
Sandro Valerio Silva, Tobias Andermann, Alexander Zizka, Gregor Kozlowski, Daniele Silvestro
2022
IUCNN – Deep learning approaches to approximate species' extinction risk
Diversity and Distributions
Alexander Zizka, Tobias Andermann, Daniele Silvestro
2022