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Harnessing computational methods to characterize chemical impacts on biodiversity
Kosnik, M. B., Schuwirth, N., & Rico, A. (2024). Harnessing computational methods to characterize chemical impacts on biodiversity. Environmental Science and Technology Letters. https://doi.org/10.1021/acs.estlett.3c00865
Decomposing drivers in avian insectivory: large-scale effects of climate, habitat and bird diversity
Schillé, L., Valdés-Correcher, E., Archaux, F., Bălăcenoiu, F., Bjørn, M. C., Bogdziewicz, M., … Castagneyrol, B. (2024). Decomposing drivers in avian insectivory: large-scale effects of climate, habitat and bird diversity. Journal of Biogeography. https://doi.org/10.1111/jbi.14808
Drying shapes aquatic fungal community assembly by reducing functional diversity
Arias-Real, R., Hurtado, P., Gionchetta, G., & Gutiérrez-Cánovas, C. (2023). Drying shapes aquatic fungal community assembly by reducing functional diversity. Diversity, 15(2), 289 (14 pp.). https://doi.org/10.3390/d15020289
Context-dependent evolution of high trophic position drives functional disparity in subterranean crustaceans
Premate, E., Borko, Š., Altermatt, F., & Fišer, C. (2023). Context-dependent evolution of high trophic position drives functional disparity in subterranean crustaceans. Functional Ecology, 37(9), 2523-2534. https://doi.org/10.1111/1365-2435.14407
Consideration of multitrophic biodiversity and ecosystem functions improves indices on river ecological status
Li, F., Zhang, Y., Altermatt, F., & Zhang, X. (2021). Consideration of multitrophic biodiversity and ecosystem functions improves indices on river ecological status. Environmental Science and Technology, 55(24), 16434-16444. https://doi.org/10.1021/acs.est.1c05899
Human activities' fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China
Li, F., Altermatt, F., Yang, J., An, S., Li, A., & Zhang, X. (2020). Human activities' fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China. Global Change Biology, 26(12), 6867-6879. https://doi.org/10.1111/gcb.15357
Analysis of macroinvertebrate diversity in relation to riverine processes
Wüthrich, R. (2018). Analysis of macroinvertebrate diversity in relation to riverine processes [Master thesis].
Handbook of protocols for standardized measurement of terrestrial invertebrate functional traits
Moretti, M., Dias, A. T. C., de Bello, F., Altermatt, F., Chown, S. L., Azcárate, F. M., … Berg, M. P. (2017). Handbook of protocols for standardized measurement of terrestrial invertebrate functional traits. Functional Ecology, 31(3), 558-567. https://doi.org/10.1111/1365-2435.12776
Experimental evidence for strong stabilizing forces at high functional diversity of aquatic microbial communities
Carrara, F., Giometto, A., Seymour, M., Rinaldo, A., & Altermatt, F. (2015). Experimental evidence for strong stabilizing forces at high functional diversity of aquatic microbial communities. Ecology, 96(5), 1340-1350. https://doi.org/10.1890/14-1324.1
No evidence for leaf-trait dissimilarity effects on litter decomposition, fungal decomposers, and nutrient dynamics
Frainer, A., Moretti, M. S., Xu, W., & Gessner, M. O. (2015). No evidence for leaf-trait dissimilarity effects on litter decomposition, fungal decomposers, and nutrient dynamics. Ecology, 96(2), 550-561. https://doi.org/10.1890/14-1151.1
Simple-but-sound methods for estimating the value of changes in biodiversity for biological pest control in agriculture
Letourneau, D. K., Ando, A. W., Jedlicka, J. A., Narwani, A., & Barbier, E. (2015). Simple-but-sound methods for estimating the value of changes in biodiversity for biological pest control in agriculture. Ecological Economics, 120, 215-225. https://doi.org/10.1016/j.ecolecon.2015.10.015
Opportunities and challenges in deriving phytoplankton diversity measures from individual trait-based data obtained by scanning flow-cytometry
Fontana, S., Jokela, J., & Pomati, F. (2014). Opportunities and challenges in deriving phytoplankton diversity measures from individual trait-based data obtained by scanning flow-cytometry. Frontiers in Microbiology, 5, 324 (12 pp.). https://doi.org/10.3389/fmicb.2014.00324
Dynamic structure of a food web model: comparison with a food chain model
Pahl-Wostl, C. (1997). Dynamic structure of a food web model: comparison with a food chain model. Ecological Modelling, 100(1-3), 103-123. https://doi.org/10.1016/S0304-3800(97)00151-8