Biodiversity Data LabUppsala University

Research

Publications

Peer-reviewed articles on environmental DNA, biodiversity modelling, and machine learning for conservation.

Papers

Publication list

Year
Topic

12 publications

2026

  1. Properties and Limitations of eDNA Substrates for Terrestrial Animal Monitoring

    Beilun Zhao, Tobias Andermann

    Molecular Ecology Resources · 2026

    eDNA
    Read more

2025

  1. Estimating national Red List statuses for fungi in Sweden - An improved deep learning approach to account for unbalanced data

    Filipe Gomes de Almeida, Adrian Baggstrom, Tobias Andermann

    Ecological Informatics · 2025

    Deep learningConservation & extinction
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  2. The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale

    Adrian Baggstrom, Robert Goodsell, Laura van Dijk, Ela Iwaszkiewicz-Eggebrecht, Andreia Miraldo, Ayco J.M. Tack, Tobias Andermann

    Ecological Informatics · 2025

    Deep learningeDNA
    Read more

2024

  1. Deep learning segmentation model produces accurate biodiversity predictions at 10 m spatial resolution

    Tobias Andermann, Johan Haggmark, Patrik Olsson, Alice Hogstrom

    Research Square Preprints · 2024

    Deep learningRemote sensing
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  2. Exploring Paleogene Tibet's warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs

    Sylvia Hofmann, Dennis Rodder, Tobias Andermann, Michael Matschiner, Jendrian Riedel, and collaborators

    Molecular Ecology · 2024

    Evolution & macroecology
    Read more

2023

  1. Undiscovered bird extinctions obscure the true magnitude of human-driven extinction waves

    Rob Cooke, Ferran Sayol, Tobias Andermann, Tim Blackburn, Manuel Steinbauer, Alexandre Antonelli, Soren Faurby

    Nature Communications · 2023

    Conservation & extinctionEvolution & macroecology
    Read more

2022

  1. Madagascar's extraordinary biodiversity: Evolution, distribution, and use

    Alexandre Antonelli and collaborators, including Tobias Andermann

    Science · 2022

    Evolution & macroecology
    Read more

  2. Madagascar's extraordinary biodiversity: Threats and opportunities

    Helene Ralimanana and collaborators, including Tobias Andermann and Alexandre Antonelli

    Science · 2022

    Conservation & extinction
    Read more

  3. The origin and evolution of open habitats in North America inferred by Bayesian deep learning models

    Tobias Andermann, Caroline Stromberg, Alexandre Antonelli, Daniele Silvestro

    Nature Communications · 2022

    Deep learningEvolution & macroecology
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  4. Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning

    Tobias Andermann, Alexandre Antonelli, Russell Barrett, Daniele Silvestro

    Frontiers in Plant Sciences · 2022

    Deep learning
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  5. Global Estimation and Mapping of the Conservation Status of Tree Species Using Artificial Intelligence

    Sandro Valerio Silva, Tobias Andermann, Alexander Zizka, Gregor Kozlowski, Daniele Silvestro

    Frontiers in Plant Sciences · 2022

    Deep learningConservation & extinction
    Read more

  6. IUCNN - Deep learning approaches to approximate species' extinction risk

    Alexander Zizka, Tobias Andermann, Daniele Silvestro

    Diversity and Distributions · 2022

    Deep learningConservation & extinction
    Read more