| Machine learning algorithms to infer trait matching and predict species interactions in ecological networks M Pichler, V Boreux, AM Klein, M Schleuning, F Hartig Methods in Ecology and Evolution, 2019 | 126 | 2019 |
| Machine learning and deep learning—A review for ecologists M Pichler, F Hartig Methods in Ecology and Evolution 14 (4), 994-1016, 2023 | 109 | 2023 |
| A new joint species distribution model for faster and more accurate inference of species associations from big community data M Pichler, F Hartig Methods in Ecology and Evolution, 2021 | 62* | 2021 |
| Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables J Oberpriller, M de Souza Leite, M Pichler Ecology and Evolution 12 (7), e9062, 2022 | 50 | 2022 |
| Linking functional traits and demography to model species-rich communities L Chalmandrier, F Hartig, DC Laughlin, H Lischke, M Pichler, DB Stouffer, ... Nature communications 12 (1), 2724, 2021 | 27 | 2021 |
| Novel community data in ecology-properties and prospects F Hartig, N Abrego, A Bush, JM Chase, G Guillera-Arroita, MA Leibold, ... Trends in Ecology & Evolution, 2024 | 14 | 2024 |
| Machine‐learning algorithms predict soil seed bank persistence from easily available traits S Rosbakh, M Pichler, P Poschlod Applied Vegetation Science 25 (2), e12660, 2022 | 9 | 2022 |
| Can predictive models be used for causal inference? M Pichler, F Hartig arXiv preprint arXiv:2306.10551, 2023 | 5 | 2023 |
| Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity Y Li, C Devenish, MI Tosa, M Luo, DM Bell, DB Lesmeister, P Greenfield, ... Philosophical Transactions of the Royal Society B 379 (1904), 20230123, 2024 | 1 | 2024 |
| ‘cito': an R package for training neural networks using ‘torch' C Amesöder, F Hartig, M Pichler Ecography, e07143, 2024 | 1 | 2024 |
| Assembly processes inferred from eDNA surveys of a pond metacommunity are consistent with known species ecologies W Cai, M Pichler, J Biggs, P Nicolet, N Ewald, RA Griffiths, A Bush, ... bioRxiv, 2023.12. 12.571176, 2023 | 1* | 2023 |
| Machine Learning and Deep Learning in Ecology–from predictions to mechanistic inference MM Pichler | | 2024 |
| Metacommunity theory and metabarcoding reveal the environmental, spatial, and biotic drivers of meiofaunal communities in sandy beaches JN Macher, M Pichler, S Creer, A Martinez, D Fontaneto, W Renema bioRxiv, 2024.07. 17.603914, 2024 | | 2024 |
