Best, R.J. and Lürig, M.D.. The Ecological Importance of Crustacean Diversity. Book chapter in: Gutow, L., Poore, A. and Thiel, M. (Eds.), The Natural History of the Crustacea: The Ecological Role and Conservation of Crustaceans. Oxford University Press. In press.

Lürig, M.D. (2022). phenopype: A phenotyping pipeline for Python. Methods in Ecology and Evolution / British Ecological Society, 13(3), 569–576. [DOI] [PDF]


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. [DOI] [PDF]

Russo, S., Besmer, M. D., Blumensaat, F., Bouffard, D., Disch, A., Hammes, F., Hess, A., Lürig, M.D., Matthews, B., Minaudo, C., Morgenroth, E., Tran-Khac, V., and Villez, K. (2021). The value of human data annotation for machine learning based anomaly detection in environmental systems. Water Research, 117695. [DOI] [PDF]

Moosmann, M., Cuenca-Cambronero, M., De Lisle, S., Greenway, R., Hudson, C. Lürig, M.D., M. D., & Matthews, B. (2021). On the evolution of trophic position. Ecology Letters, 24(12), 2549–2562. [DOI] [PDF]

Lürig, M.D., Narwani, A., Penson, H., Wehrli, B., Spaak, P., and Matthews, B. (2021). Non-additive effects of foundation species determine the response of aquatic ecosystems to nutrient perturbation. Ecology 102(7), e03371. [DOI] [PDF]

Lürig, M.D., Donoughe, S., Svensson, E.I., Porto, A., and Tsuboi, M. (2021). Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology. Frontiers in Ecology and Evolution 9:642774. [DOI] [PDF]

Lürig, M.D., and Matthews, B. (2021). Dietary-based developmental plasticity affects juvenile survival in an aquatic detritivore. Proceedings of the Royal Society B: Biological Sciences 288: 20203136. [DOI] [PDF]


Lürig, M.D., Best, R.J., Dakos, V., and Matthews, B. (2020). Submerged macrophytes affect the temporal variability of aquatic ecosystems. Freshw. Biol. 66(3), 104869. [DOI] [PDF]

Lürig, M.D., Hao, W., Matthews, B., and Villez, K. (2020). Active learning for anomaly detection in environmental data. Environmental Modelling \& Software 134, 104869. [DOI] [PDF]

Leal, M. C., Anaya-Rojas, J.M., Munro, M.H.G., Blunt, J.W., Melian, C.J., Calado, R., Lürig, M.D.. Fifty years of capacity building in the search for new marine natural products. Proceedings of the National Academy of Sciences 17(39), 24165-24172. [DOI] [PDF]


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. [DOI] [PDF]


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, 1324-1333. [DOI] [PDF]


Lürig, M.D., Kunzmann A. (2015). Effects of short term aragonite undersaturation and elevated temperature on the physiology of Stylophora pistillata. Journal of Sea Research 99, 26–33. [DOI]