FB VI - Raum- und Umweltwissenschaften
Universität Trier
- 0651/201-4530
- 0651/201-3939
Böning, Philipp; Lötters, Stefan; Barzaghi, Benedetta et al.
Alpine salamanders at risk? The current status of an emerging fungal pathogenPLOS ONE. Bd. 19. H. 5. Public Library of Science (PLoS) 2024 S. 1 - 13
Affolderbach, Julia; Schulz, Christian
Construction and the green economyStröm, P.; Jones, A. (Hrsg). Research Handbook on the Green Economy. Cheltenham: Edgar Elgar 2024 S. 160 - 177
Plewnia, Amadeus; Lötters, Stefan; Lobos-Parreño, Simon E.
Description of the tadpole of Hyloxalus nexipus (Anura: Dendrobatidae) with comments on geographic variationSalamandra - German Journal of Herpetology. Bd. 60. H. 3. 2024 S. 195 - 200
Affolderbach, Julia; Heuckmann, Benedikt
Die Plastikkrise als Thema einer Bildung für nachhaltige EntwicklungGeographische Rundschau. Bd. 7/8. 2024 S. 10 - 15
Böning, Philipp; Plewnia, Amadeus; Virgo, Jonas et al.
Die Salamanderpest: Charakterisierung, aktuelle Situation in Deutschland, HandlungsempfehlungenZeitschrift für Herpetologie. Bd. 31. H. 1. Bielefeld: Laurenti 2024 S. 1 - 38
Silveira, Priscila; de Sousa, Fernanda Gonçalves; Böning, Philipp et al.
Do aposematic species have larger range sizes? A case study with neotropical poison frogsJournal of Biogeography. Bd. 51. H. 8. Wiley 2024 S. 1481 - 1489
Reiter, Philipp; Casper, Markus C.
Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal?Hydrology. Bd. 11. H. 9. MDPI AG 2024 S. 143
Kelly, Moira; Cuomo, Christina A.; Beukema, Wouter et al.
High phenotypic diversity correlated with genomic variation across the European Batrachochytrium salamandrivorans epizooticPLOS Pathogens. Bd. 20. H. 10. Public Library of Science (PLoS) 2024 S. e1012579
Kröner, Lorena; Lötters, Stefan; Hopp, Marie-T.
Insights into caudate amphibian skin secretions with a focus on the chemistry and bioactivity of derived peptidesBiological Chemistry. Berlin: De Gruyter 2024 S. 1 - 20
Ley, Alexander; Bormann, Helge; Casper, Markus
Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamflow modelHydrology Research. Bd. 55. H. 6. IWA Publishing 2024 S. 613 - 627