selected publications

         2020

  1. Pinek, L., Mansour, I., Lakovi, M., Ryo, M., & Rillig, M.C. (2020) Rate of environmental change across scales in ecology, Biological Reviews.
  2. Zheng, W., Lehmann, A., Ryo, M., Vályi, K.K., & Rillig, M.C. (2020) Growth rate trades off with enzymatic investment in soil filamentous fungi. Scientific reports, 10, 11013.
  3. Szymczak, A., Ryo, M., Roy, J., & Rillig M.C. (2020) Diversity of growth responses of soil saprobic fungi to recurring heat events, Frontiers in Microbiology, 11, 1326.
  4. Ryo, M. and Angelov, B. (2020) Explainable Artificial Intelligence enhances the ecological interpretability of black-box species distribution models. EcoEvoRxiv
  5. Golubeva, P., Ryo, M., Muller, L., Ballhausen, M., Lehmann, A., Hernández, M.A.S., & Rillig, M.C. (2020) Soil Saprobic Fungi Differ in their Response to Gradually and Abruptly Delivered Copper, Frontiers in Microbiology, 11, 1195.
  6. Rillig, M.C., et al. (accepted) Myristate and the ecology of AM fungi: significance, opportunities, applications and challenges, New Phytologist, 227, 6, 1610-1614.
  7.  Ryo, M., Jeschke J.M., Rillig M.C., & Heger T. (2020) Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions, Research Synthesis Methods, 11(1) 66-73.
  8. Kattge, J., et al. (2020) TRY plant trait database - enhanced coverage and open access. 26, 1, 119-188, Global Change Biology.
  9. Lehmann, A., Zheng W., Ryo M., Soutschek K., Roy J., Rongstock R., Maaß S., Rillig M.C. (2020) Fungal traits important for soil aggregation, Frontiers in Microbiology, 10, 2904,.

    2019
  10. *Rillig, M.C., *Ryo M., Lehmann A., Aguilar-Trigueros C.A., Buchert S., Wulf A., Iwasaki A., Roy J., Yang G. (2019) The role of multiple global change factors in driving soil functions and microbial biodiversity, Science.   * contributed equally
  11. Onandia, G., Schittko, C., Ryo, M., Bernard-Verdier, M., Heger, T., Joshi, J., Kowarik, I., Gessler, A. (2019) Ecosystem functioning in urban grasslands: the role of biodiversity, plant invasions and urbanization. 14, 11, e0225438, Plos One.
  12. Rillig, M.C., Lehmann A., Ryo M., & Bergmann J. (2019). Shaping up: towards considering the shape and form of pollutants. Environmental Science & Technology, 53, 14, 7925-7926.
  13. Ryo M., Aguilar-Trigueros C.A., Pinek L., Muller L.A.H., & Rillig M.C. (2019) Basic principles of temporal dynamics, Trends in Ecology & Evolution, 34, 8, 723-733. 
  14. Okada, S., Khanal, R., Yoshimura, C., Saavedra, O., & Ryo, M. (2019) Monitoring land cover change of a river-floodplain system using high resolution satellite images, Landscape and Ecological Engineering, 15, 1, 63–74.

     2018

  15. Ishiyama, N., Ryo, M., Kataoka, T., Nagayama, S., Sueyoshi, M., Terui, A., Mori, T., Akasaka, T., & Nakamura, F. (2018) Predicting the ecological impacts of large dam removals on a river network based on habitat network structure and flow regimes, Conservation Biology, 32, 6,  1403–1413.
  16. Lammel, D.,  Barth, G., Ovaskainen, O.,  Cruz, L., Zanatta, J., Ryo, M., Souza, E., & Pedrosa, F. (2018) Direct and indirect effects of a pH gradient bring insights in the mechanistic driving prokaryotic community structures in a sub-tropical soil, BMC Microbiome, 6, 106.
  17. Mansour, I., Heppell, C., Ryo, M. & Rillig, M. C. (2018) Application of the Microbial Community Coalescence Concept to Riverine Networks, Biological Reviews, 93, 4, 1832-1845.
  18. Ryo, M., Yoshimura, C., & Iwasaki, Y. (2018) Importance of antecedent environmental conditions in modeling species distributions. Ecography, 41, 5, 825-836.
  19. Martin, E., Ryo, M., Döring, M., & Robinson, C. T. (2018) Evaluation of restoration and flow interactions on river structure and function: Channel widening of the Thur River, Switzerland, Water, 10, 439.
  20. Ryo, M., Harvey, E., Robinson, C. T., & Altermatt, F. (2018) Nonlinear higher-order abiotic interactions explain riverine biodiversity. Journal of Biogeography, 45, 3, 628-639.

    2017
  21. Ryo, M. & Rillig, M. C. (2017) Statistically reinforced machine learning for nonlinear patterns and variable interactions. Ecosphere, 8, 11, e01976.
  22. Bergmann, J., Ryo, M., Prati, D., Hempel, S. & Rillig, M. C. (2017) Root traits are more than analogues of leaf traits: the case for diaspore mass, New Phytologist, 216, 1130-1139.

    2016
  23. Ryo, M., Leys, M., and Robinson, C. T. (2016) Technical note: Fourier approach for estimating the thermal attributes of streams. Hydrological Earth System Sciences, 20, 3411–3418.
  24. Takido, K., Saavedra, O., Ryo, M., Tanuma, K., Ushio, T., and Kubota, T. (2016) Spatiotemporal evaluation of the gauge adjusted Global Satellite Mapping of Precipitation at the basin scale. Journal of the Meteorological Society of Japan, 94, 2, 185–195.

    2015
  25. Ryo, M., Iwasaki, Y., Yoshimura, C., & Saavedra, O. (2015) Evaluation of spatial pattern of altered flow regimes on a river network using a distributed hydrological model. PLoS ONE, 10, 7, 1–16. 1.

    2014
  26. Ryo, M., Saavedra, O., Kanae, S., & Dang, T. (2014) Temporal downscaling of daily gauged precipitation by application of a satellite product for flood simulation in a poorly gauged basin and its evaluation with multiple regression analysis. Journal of Hydrometeorology, 15, 2, 563–580.

    2012
  27. Iwasaki, Y., Ryo, M., Sui, P., & Yoshimura, C. (2012) Evaluating the relationship between basin-scale fish species richness and ecologically relevant flow characteristics in rivers worldwide. Freshwater Biology, 57, 2173–2180.