Dear colleagues,
We are looking for PhD candidates in a project on changes in Arctic terrestrial ecosystems. Please help to spread the announcement to potential candidates. The application deadline is the 25th April 2022. A second related position focusing on remote sensing using drones will be announced shortly.
Project description
Our planet is getting warmer, the Arctic is getting greener, shrubs and trees are growing better and moving up-slope. We can observe these vegetation changes on the ground and in satellite imagery, but we still need a better understanding of the dynamic nature of these changes. You can bring some light into this!
This PhD position offers you the opportunity to research vegetation trends in the Arctic. We will investigate how the Arctic is getting greener, what factors may cause stability and what factors may cause rapid change. We will map vegetation using remote sensing data from UAVs (drones) and satellites, and do fieldwork in the Swedish mountains for ground-truthing of vegetation plots and soil samples. Furthermore, we want to investigate and develop conceptual, GIS and numerical models that can confirm and predict the patterns we see over time in the remote sensing imagery.
The position runs over four years and is based at Umeå University. At the Department of Ecology and Environmental Science we provide an active research environment on Arctic and boreal vegetation research with an extended group of 4 PIs and over 10 PhD students and Postdocs. The modeling activity will be in collaboration with the Integrated Science Lab (IceLab) at Umeå University. The supervisors will be Dr. Matthias Siewert and Professor Johan Olofsson.
Contact
If you have questions regarding the position, please contact Matthias Siewert, matthias.siewert@umu.se.
Best regards,
Matthias
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Dr. Matthias Siewert
Universitetslektor (Associate Professor)
Department of Ecology and Environmental Science
Umeå University - Sweden - E-mail: matthias.siewert@umu.se
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My graphical CV
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ResearchGate Profile
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Recent papers (2021-2022):
Barreda-Bautista, et al. (2022) Montoring permafrost subsidence using Drones and InSAR. Remote sensing.
Siewert & Olofsson (2021) UAV reveals substantial effects of herbivores on Arctic vegetation, Scientifc Reports.
Siewert, et al. (2021) Permafrost Causes Unique Fine‐Scale Spatial Variability Across Tundra Soils. GBC.
Krickov, et al. (2021) Sizable carbon emission from the floodplain of Ob River. Ecol. Indicators.
Azevedo, et. al. (2021) Predicting Soil Respiration from Plant Productivity (NDVI). Remote Sensing.
MacDougall, et al. (2021) Phenology of Arctic Mountain plants between 20th and 21st century, GCB.
Mishra et al. (2021) Spatial heterogeneity & env. predictors of permafrost region soil organic carbon. Science Adv
