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<em>phenopype</em>: a phenotyping pipeline for Python
Lürig, M. D. (2022). phenopype: a phenotyping pipeline for Python. Methods in Ecology and Evolution, 13(3), 569-576. https://doi.org/10.1111/2041-210X.13771
Building on 150 years of knowledge: the freshwater isopod <em>Asellus aquaticus</em> as an integrative eco-evolutionary model system
Lafuente, E., Lürig, M. D., Rövekamp, M., Matthews, B., Buser, C., Vorburger, C., & Räsänen, K. (2021). Building on 150 years of knowledge: the freshwater isopod Asellus aquaticus as an integrative eco-evolutionary model system. Frontiers in Ecology and Evolution, 9, 748212 (23 pp.). https://doi.org/10.3389/fevo.2021.748212
Non‐additive effects of foundation species determine the response of aquatic ecosystems to nutrient perturbation
Lürig, M. D., Narwani, A., Penson, H., Wehrli, B., Spaak, P., & Matthews, B. (2021). Non‐additive effects of foundation species determine the response of aquatic ecosystems to nutrient perturbation. Ecology, 102(7), e03371 (14 pp.). https://doi.org/10.1002/ecy.3371
Submerged macrophytes affect the temporal variability of aquatic ecosystems
Lürig, M. D., Best, R. J., Dakos, V., & Matthews, B. (2021). Submerged macrophytes affect the temporal variability of aquatic ecosystems. Freshwater Biology, 66(3), 421-435. https://doi.org/10.1111/fwb.13648
The value of human data annotation for machine learning based anomaly detection in environmental systems
Russo, S., Besmer, M. D., Blumensaat, F., Bouffard, D., Disch, A., Hammes, F., … Villez, K. (2021). The value of human data annotation for machine learning based anomaly detection in environmental systems. Water Research, 206, 117695 (10 pp.). https://doi.org/10.1016/j.watres.2021.117695
Fifty years of capacity building in the search for new marine natural products
Leal, M. C., Anaya-Rojas, J. M., Munro, M. H. G., Blunt, J. W., Melian, C. J., Calado, R., & Lürig, M. D. (2020). Fifty years of capacity building in the search for new marine natural products. Proceedings of the National Academy of Sciences of the United States of America PNAS, 117(39), 24165-24172. https://doi.org/10.1073/pnas.2007610117
Active learning for anomaly detection in environmental data
Russo, S., Lürig, M., Hao, W., Matthews, B., & Villez, K. (2020). Active learning for anomaly detection in environmental data. Environmental Modelling and Software, 134, 104869 (11 pp.). https://doi.org/10.1016/j.envsoft.2020.104869
Species interactions - from phenotypes to ecosystems
Lürig, M. D. (2019). Species interactions - from phenotypes to ecosystems [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-b-000382508
The role of plasticity in the evolution of cryptic pigmentation in a freshwater isopod
Lürig, M. D., Best, R. J., Svitok, M., Jokela, J., & Matthews, B. (2019). The role of plasticity in the evolution of cryptic pigmentation in a freshwater isopod. Journal of Animal Ecology, 88(4), 612-623. https://doi.org/10.1111/1365-2656.12950
Microhabitat partitioning in seagrass mesograzers is driven by consistent species choices across multiple predator and competitor contexts
Lürig, M. D., Best, R. J., & Stachowicz, J. J. (2016). Microhabitat partitioning in seagrass mesograzers is driven by consistent species choices across multiple predator and competitor contexts. Oikos, 125(9), 1324-1333. https://doi.org/10.1111/oik.02932