Goolge Scholar Profile

Publications

    1. T Horstkotte , J Assmann , H Hedenås , S Normand , J Olofsson (2026) . Increase in plant productivity in the tundra in Sweden is not related to increasing presence of warm-adapted vascular plant species. Ecography . https://doi.org/10.1002/ecog.08201

    2. J Assmann et al. (2026) . Envisioning desirable futures for Arctic biodiversity to overcome “doom and gloom”. Arctic Science . https://doi.org/10.1139/as-2025-0103

    3. J Assmann et al. (2025) . Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion. Conservation Science and Practice . https://doi.org/10.1111/csp2.13302

    4. C Hoad , I Myers-Smith , J Kerby , C Colesie , J Assmann (2025) . Snow persistence lowers and delays peak NDVI, the vegetation index that underpins Arctic greening analyses. Environmental Research Letters . https://doi.org/10.1088/1748-9326/adacff

    5. I Paulsen et al. (incl. JJ Assmann) (2025) . Vascular plant biomass and herbivore disturbance, but not summer temperature, explain satellite and drone-based NDVI in High Arctic Svalbard. Arctic Science . https://doi.org/10.1139/as-2024-0033

    6. J Assmann et al. (2025) . High variation in the surface extent of freshwater ponds creates dynamic Arctic tundra landscapes in the lowlands of Eastern Siberia. Environmental Research Letters . https://doi.org/10.1088/1748-9326/ae0fb1

    7. V Zemlianskii et al. (incl. JJ Assmann) (2025) . Finding northernmost baselines: high variability of above-ground biomass on Eurasian polar desert islands. Environmental Research: Ecology . https://doi.org/10.1088/2752-664X/adf447

    8. M Dance et al. (incl. JJ Assmann) (2025) . Molecular Footprints of Quaternary Climate Fluctuations in the Circumpolar Tundra Shrub Dwarf Birch. Molecular Ecology . https://doi.org/10.1111/mec.70082

    9. N Rietze , R Heim , E Troeva , G Schaepman-Strub , J Assmann (2025) . Pre-Fire Vegetation Conditions and Topography Shape Burn Mosaics of Siberian Tundra Fire Scars. Journal of Geophysical Research: Biogeosciences . https://doi.org/10.1029/2024JG008608

    10. J Oppen , J Assmann , A Bjorkman , U Treier , B Elberling , S Normand (2024) . Microclimate explains little variation in year-round decomposition across an Arctic tundra landscape. Nordic Journal of Botany . https://doi.org/10.1111/njb.04062

    11. N Rietze et al. (incl. JJ Assmann) (2024) . Summer drought weakens land surface cooling of tundra vegetation. Environmental Research Letters . https://doi.org/10.1088/1748-9326/ad345e

    12. G Frost et al. (incl. JJ Assmann) (2024) . NOAA Arctic Report Card 2024 : Tundra Greenness. NOAA Global Ocean Monitoring and Observing Program . https://doi.org/10.25923/5T2G-FM41

    13. L Berner , J Assmann , S Normand , S Goetz (2023) . ‘LandsatTS’: an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time series data. Ecography . https://doi.org/10.1111/ecog.06768

    14. C Davison , J Assmann , S Normand , C Rahbek , N Morueta-Holme (2023) . Vegetation structure from LiDAR explains the local richness of birds across Denmark. Journal of Animal Ecology . https://doi.org/10.1111/1365-2656.13945

    15. J Pedersen , J Assmann , S Normand , D Karger , F Riede (2023) . Climate Niche Modeling Reveals the Fate of Pioneering Late Pleistocene Populations in Northern Europe. Current Anthropology . https://doi.org/10.1086/726700

    16. J Assmann , J Moeslund , U Treier , S Normand (2022) . EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark’s national airborne laser scanning data set. Earth System Science Data . https://doi.org/10.5194/essd-14-823-2022

    17. A Martin et al. (incl. JJ Assmann) (2022) . What evidence exists for temporal variability in Arctic terrestrial and freshwater biodiversity throughout the Holocene? A systematic map protocol. Environmental Evidence . https://doi.org/10.1186/s13750-022-00267-x

    18. J Oppen et al. (incl. JJ Assmann) (2022) . Cross-scale regulation of seasonal microclimate by vegetation and snow in the Arctic tundra. Global Change Biology . https://doi.org/10.1111/gcb.16426

    19. J Boyle , S Angers-Blondin , J Assmann , I Myers-Smith (2022) . Summer temperature—but not growing season length—influences radial growth of Salix arctica in coastal Arctic tundra. Polar Biology . https://doi.org/10.1007/s00300-022-03074-9

    20. C Power , J Assmann , A Prendin , U Treier , J Kerby , S Normand (2022) . Improving ecological insights from dendroecological studies of Arctic shrub dynamics: Research gaps and potential solutions. Science of The Total Environment . https://doi.org/10.1016/j.scitotenv.2022.158008

    21. N Chardon et al. (incl. JJ Assmann) (2022) . High resolution species distribution and abundance models cannot predict separate shrub datasets in adjacent Arctic fjords. Diversity and Distributions . https://doi.org/10.1111/ddi.13498

    22. J Lembrechts et al. (incl. JJ Assmann) (2022) . Global maps of soil temperature. Global Change Biology . https://doi.org/10.1111/gcb.16060

    23. J Samplonius et al. (incl. JJ Assmann) (2021) . Strengthening the evidence base for temperature-mediated phenological asynchrony and its impacts. Nature Ecology & Evolution . https://doi.org/10.1038/s41559-020-01357-0

    24. J Oppen et al. (incl. JJ Assmann) (2021) . Annual air temperature variability and biotic interactions explain tundra shrub species abundance. Journal of Vegetation Science . https://doi.org/https://doi.org/10.1111/jvs.13009

    25. J Prevéy et al. (incl. JJ Assmann) (2021) . The tundra phenology database: more than two decades of tundra phenology responses to climate change. Arctic Science . https://doi.org/10.1139/as-2020-0041

    26. C Collins et al. (incl. JJ Assmann) (2021) . Experimental warming differentially affects vegetative and reproductive phenology of tundra plants. Nature Communications . https://doi.org/10.1038/s41467-021-23841-2

    27. I Eischeid et al. (incl. JJ Assmann) (2021) . Disturbance Mapping in Arctic Tundra Improved by a Planning Workflow for Drone Studies: Advancing Tools for Future Ecosystem Monitoring. Remote Sensing . https://doi.org/10.3390/rs13214466

    28. I Myers-Smith et al. (incl. JJ Assmann) (2020) . Complexity revealed in the greening of the Arctic. Nature Climate Change . https://doi.org/10.1038/s41558-019-0688-1

    29. J Assmann , I Myers-Smith , J Kerby , A Cunliffe , G Daskalova (2020) . Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites. Environmental Research Letters . https://doi.org/10.1088/1748-9326/abbf7d

    30. A Cunliffe , J Assmann , G Daskalova , J Kerby , I Myers-Smith (2020) . Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape. Environmental Research Letters . https://doi.org/10.1088/1748-9326/aba470

    31. I Myers-Smith et al. (incl. JJ Assmann) (2019) . Eighteen years of ecological monitoring reveals multiple lines of evidence for tundra vegetation change. Ecological Monographs . https://doi.org/10.1002/ecm.1351

    32. J Assmann et al. (2019) . Local snow melt and temperature—but not regional sea ice—explain variation in spring phenology in coastal Arctic tundra. Global Change Biology . https://doi.org/10.1111/gcb.14639

    33. D Stow , C Nichol , T Wade , J Assmann , G Simpson , C Helfter (2019) . Illumination Geometry and Flying Height Influence Surface Reflectance and NDVI Derived from Multispectral UAS Imagery. Drones . https://doi.org/10.3390/drones3030055

    34. J Assmann , J Kerby , A Cunliffe , I Myers-Smith (2018) . Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes. Journal of Unmanned Vehicle Systems . https://doi.org/10.1139/juvs-2018-0018

PhD Thesis

Jakob J. Assmann. 2019. Arctic tundra plant phenology and greenness across space and time. The University of Edinburgh. https://www.era.lib.ed.ac.uk/handle/1842/35628