Professor, Physical geography
Miska Luoto is a physical geographer who is interested in spatial and temporal modelling of Earth systems, particularly biogeographical, climatological and geomorphological patterns and processes. Besides theoretical and methodological interests in understanding and predicting species distributions, ecosystem properties and earth surface processes, Miska Luoto with his research group is developing models for different applied purposes. He is particularly focused on assessing the potential impact of climate change on biodiversity, ground surface conditions and vegetation dynamics. To explore these topics, he is leading observational and experimental studies, statistical analyses of empirical data and mathematical simulations, including bioclimate modelling and data mining utilizing remote sensing and GIS data products. The main study area is in the Scandinavian Mountains, a high-latitude landscape in northernmost Finland and Norway at the 68-70° N latitudes. Miska Luoto's group also works at larger areas: Finland, Europe and globally.
Miska in TUHAT database
Miska in Google Scholar
Research group pages: BioGeoClimate Modelling Lab
- Mod, H., le Roux, P.C., Guisan, A. & Luoto, M. (2015). Biotic interactions boost spatial models of species richness. Ecography 38, 913–921.
- Tallavaaraa, M., Luoto, M., Korhonen, N., Järvinen, H., & Seppä, H. (2015). Human population dynamics in Europe over the Last Glacial Maximum. Proceedings of the National Academy of Sciences 112, 8232-8237.
- Soininen, J. & Luoto, M. (2014). Predictability in species distributions: a global analysis across organisms and ecosystems. Global Ecology and Biogeography 23, 1264-1274.
- Aalto, J., Venäläinen, A., Heikkinen, R.K. & Luoto, M. (2014). Potential for extreme loss in high-latitude Earth surface processes due to climate change. Geophysical Research Letters 41, 3914–3924.
- le Roux, P.C., Aalto, J. & Luoto, M. (2013). Soil moisture’s underestimated role in climate change impact modelling in low energy systems. Global Change Biology 19, 2965–2975.