Veiko Lehsten
Docent|Associate Professor
- Tjänstetitel: Docent
- Akademisk titel: Docent
- Telefon arbete: +46 (0)10-1428654
- E-postadress: veiko.lehsten@miun.se
- Besöksadress: Campus Östersund Building A
- Ort: Östersund
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- Anställd inom ämnet:
- Miljövetenskap
Bakgrund
PhD in Landscape Ecology
Docent in Geography
Work places :
University of Oldenburg Germany (Institute for Landscape Ecology)
Lund University (Institute for physical Geography and Ecosystem Science)
Swiss Institute for Forest Snow and Landscape (Group Landscape Ecology)
Forskningsområden
Biogeography
Phenology
Spatial phenomena,
Ecosystem modelling
Forskning
I am working on a wide range of biogeographical phenomena.
Recently I have been working on modelling of vegetation dynamics (especially migration) wildfires, invasive species, phenology and human population dynamics.
Undervisning
I have been teaching a wide variety of courses at both bachelor as well as master level mainly in the fields of:
Hydrology
Ecosystem Analyses
Spatial Statistics
Greenhouse Gases
Ecosystem Modelling
Global Change
Övrigt
I am currently employed 50% by Lunds University at the Institute of physical Geography and Ecosystem Science and 50% at EJT in Sundsvall. I am also a visiting sientist at the Institute for Forest Snow and Landscape in Zürich.
In my work I am combining vegetation modelling at a corse scale, (Countries - Europe - the World), with field work at a landscape scale. I am currently performing field studies on Svalbard, Öland, and on another island in the Baltic Kieler Ort where I analyse the spread of an invasive species.
Publikationer
Artiklar i tidskrifter
Zani, D. , Lischke, H. & Lehsten, V. (2024). The role of dispersal limitation in the forest biome shifts of Europe in the last 18,000 years. Journal of Biogeography, vol. 51: 8, ss. 1438-1457.
Zani, D. , Lischke, H. & Lehsten, V. (2023). Climate and dispersal limitation drive tree species range shifts in post-glacial Europe : results from dynamic simulations. Frontiers in Ecology and Evolution, vol. 11
Olen, N. B. & Lehsten, V. (2022). High-resolution global population projections dataset developed with CMIP6 RCP and SSP scenarios for year 2010-2100. Data in Brief, vol. 40