| Enhancing environmental DNA metabarcoding from marine ecosystems: impact of filter type, storage method, and storage time on the assessment of fish alpha and beta diversity
Bizzozzero, M. R., Altermatt, F., Cicciarella, R., Walser, J. C., Willems, E. P., & Krützen, M. (2024). Enhancing environmental DNA metabarcoding from marine ecosystems: impact of filter type, storage method, and storage time on the assessment of fish alpha and beta diversity. Environmental DNA, 6(3), e570 (15 pp.). https://doi.org/10.1002/edn3.570 |
| Habitat suitability models reveal the spatial signal of environmental DNA in riverine networks
Brantschen, J., Fopp, F., Adde, A., Keck, F., Guisan, A., Pellissier, L., & Altermatt, F. (2024). Habitat suitability models reveal the spatial signal of environmental DNA in riverine networks. Ecography, 2024(8), e07267 (12 pp.). https://doi.org/10.1111/ecog.07267 |
| Large‐scale eDNA monitoring of multiple aquatic pathogens as a tool to provide risk maps for wildlife diseases
Sieber, N., King, A., Krieg, R., Zenker, A., Vorburger, C., & Hartikainen, H. (2024). Large‐scale eDNA monitoring of multiple aquatic pathogens as a tool to provide risk maps for wildlife diseases. Environmental DNA, 6(1), e427 (14 pp.). https://doi.org/10.1002/edn3.427 |
| Molecular metrics to monitor ecological status of large rivers: implementation of diatom DNA metabarcoding in the Joint Danube Survey 4
Tapolczai, K., Chonova, T., Fidlerová, D., Makovinská, J., Mora, D., Weigand, A., & Zimmermann, J. (2024). Molecular metrics to monitor ecological status of large rivers: implementation of diatom DNA metabarcoding in the Joint Danube Survey 4. Ecological Indicators, 160, 111883 (13 pp.). https://doi.org/10.1016/j.ecolind.2024.111883 |
| Assessing land-water linkage of biodiversity using environmental DNA and remote sensing
Zhang, H. (2024). Assessing land-water linkage of biodiversity using environmental DNA and remote sensing [Doctoral dissertation, Universität Zürich]. https://doi.org/10.5167/uzh-264333 |
| Detection of fish sedimentary DNA in aquatic systems: a review of methodological challenges and future opportunities
Huston, G. P., Lopez, M. L. D., Cheng, Y., King, L., Duxbury, L. C., Picard, M., … Capo, E. (2023). Detection of fish sedimentary DNA in aquatic systems: a review of methodological challenges and future opportunities. Environmental DNA, 5(6), 1449-1472. https://doi.org/10.1002/edn3.467 |
| A combination of machine-learning and eDNA reveals the genetic signature of environmental change at the landscape levels
Keck, F., Brantschen, J., & Altermatt, F. (2023). A combination of machine-learning and eDNA reveals the genetic signature of environmental change at the landscape levels. Molecular Ecology, 32(17), 4791-4800. https://doi.org/10.1111/mec.17073 |
| Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes
Reji Chacko, M., Altermatt, F., Fopp, F., Guisan, A., Keggin, T., Lyet, A., … Pellissier, L. (2023). Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes. Oecologia, 202, 699-713. https://doi.org/10.1007/s00442-023-05428-4 |
| Using eDNA to understand predator–prey interactions influenced by invasive species
Riaz, M., Warren, D., Wittwer, C., Cocchiararo, B., Hundertmark, I., Reiners, T. E., … Nowak, C. (2023). Using eDNA to understand predator–prey interactions influenced by invasive species. Oecologia, 202(4), 757-767. https://doi.org/10.1007/s00442-023-05434-6 |
| A spatial fingerprint of land-water linkage of biodiversity uncovered by remote sensing and environmental DNA
Zhang, H., Mächler, E., Morsdorf, F., Niklaus, P. A., Schaepman, M. E., & Altermatt, F. (2023). A spatial fingerprint of land-water linkage of biodiversity uncovered by remote sensing and environmental DNA. Science of the Total Environment, 867, 161365 (12 pp.). https://doi.org/10.1016/j.scitotenv.2022.161365 |
| Gap analysis for DNA-based biomonitoring of aquatic ecosystems in China
Li, F., Zhang, Y., Altermatt, F., Zhang, X., Cai, Y., & Yang, Z. (2022). Gap analysis for DNA-based biomonitoring of aquatic ecosystems in China. Ecological Indicators, 137, 108732 (11 pp.). https://doi.org/10.1016/j.ecolind.2022.108732 |
| Environmental DNA metabarcoding for benthic monitoring: a review of sediment sampling and DNA extraction methods
Pawlowski, J., Bruce, K., Panksep, K., Aguirre, F. I., Amalfitano, S., Apothéloz-Perret-Gentil, L., … Fazi, S. (2022). Environmental DNA metabarcoding for benthic monitoring: a review of sediment sampling and DNA extraction methods. Science of the Total Environment, 818, 151783 (17 pp.). https://doi.org/10.1016/j.scitotenv.2021.151783 |
| Parasite DNA detection in water samples enhances crayfish plague monitoring in asymptomatic invasive populations
Sieber, N., Hartikainen, H., Krieg, R., Zenker, A., & Vorburger, C. (2022). Parasite DNA detection in water samples enhances crayfish plague monitoring in asymptomatic invasive populations. Biological Invasions, 24, 281-297. https://doi.org/10.1007/s10530-021-02644-y |
| How to design optimal eDNA sampling strategies for biomonitoring in river networks
Carraro, L., Stauffer, J. B., & Altermatt, F. (2021). How to design optimal eDNA sampling strategies for biomonitoring in river networks. Environmental DNA, 3(1), 157-172. https://doi.org/10.1002/edn3.137 |
| Decision-making and best practices for taxonomy-free environmental DNA metabarcoding in biomonitoring using Hill numbers
Mächler, E., Walser, J. C., & Altermatt, F. (2021). Decision-making and best practices for taxonomy-free environmental DNA metabarcoding in biomonitoring using Hill numbers. Molecular Ecology, 30(13), 3326-3339. https://doi.org/10.1111/mec.15725 |
| Comparing the performance of 12S mitochondrial primers for fish environmental DNA across ecosystems
Polanco F., A., Richards, E., Flück, B., Valentini, A., Altermatt, F., Brosse, S., … Pellissier, L. (2021). Comparing the performance of 12S mitochondrial primers for fish environmental DNA across ecosystems. Environmental DNA, 3(6), 1113-1127. https://doi.org/10.1002/edn3.232 |
| DNA metabarcoding reveals differences in distribution patterns and ecological preferences among genetic variants within some key freshwater diatom species
Pérez-Burillo, J., Trobajo, R., Leira, M., Keck, F., Rimet, F., Sigró, J., & Mann, D. G. (2021). DNA metabarcoding reveals differences in distribution patterns and ecological preferences among genetic variants within some key freshwater diatom species. Science of the Total Environment, 798, 149029 (17 pp.). https://doi.org/10.1016/j.scitotenv.2021.149029 |
| Uncovering the complete biodiversity structure in spatial networks: the example of riverine systems
Altermatt, F., Little, C. J., Mächler, E., Wang, S., Zhang, X., & Blackman, R. C. (2020). Uncovering the complete biodiversity structure in spatial networks: the example of riverine systems. Oikos, 129(5), 607-618. https://doi.org/10.1111/oik.06806 |
| Combining environmental DNA and species distribution modeling to evaluate reintroduction success of a freshwater fish
Riaz, M., Kuemmerlen, M., Wittwer, C., Cocchiararo, B., Khaliq, I., Pfenninger, M., & Nowak, C. (2020). Combining environmental DNA and species distribution modeling to evaluate reintroduction success of a freshwater fish. Ecological Applications, 30(2), e02034 (11 pp.). https://doi.org/10.1002/eap.2034 |
| Validation of an eDNA-based method for the detection of wildlife pathogens in water
Sieber, N., Hartikainen, H., & Vorburger, C. (2020). Validation of an eDNA-based method for the detection of wildlife pathogens in water. Diseases of Aquatic Organisms, 141, 171-184. https://doi.org/10.3354/dao03524 |
