Data from: Cross-scale regulation of seasonal microclimate by vegetation and snow in the Arctic tundra

ReadMe

Associated publication:
von Oppen, J., Assmann, J.J., Bjorkman, A.D., Treier, U.A., Elberling, B., Nabe-Nielsen, J., & Normand, S. (2022) Global Change Biology

Description

The zip file contains data and code from the analyses for von Oppen et al. (2022) Global Change Biology. Access through the provided R project file (e.g. with RStudio) is recommended for seamless running of the code. Please see the paper (link in the zenodo archive) for methodological details, results and discussion.

File structure & content

(folders/files)

  • data

    • geo_features: Geographic data used for creating maps (hydrology features and coastline; Fig. 1a & S4). All digitised by JvO

    • location_data:

      • LDI_locations.csv: locations of study plots
      • station_locations.csv: locations of automated weather stations

    • plot_data: data from study plots

      • LDI_lookup_table.csv: lookup table for logger serial numbers

      • LDI_plot_level_data.csv: raw plot-level metadata

      • LDI_soil_particle_fractions.csv: soil particle fractions used in soil moisture calibration

      • processed: data files created in the data cleaning process (>> scripts/data_cleaning.R)

        • disko_microclim_plot_station_elevation_differences.rds: elevation differences between study plots and weather stations and list of closest stations (Fig. S4)
        • ldi_plot_level_data_cleaned.csv: cleaned plot-level environmental predictor data
        • microclim_plot_data_complete.csv: cleaned plot-level environmental predictor data incl. seasonal summary statistics for temperatures
        • microclim_plot_data_complete_ndjfm1920.csv: cleaned daily temperature data for winter period and environmental predictor data
        • microclim_plot_data_complete_season19.csv: cleaned daily temperature data for growing season period and environmental predictor data
        • microclim_plot_data_greenness_season19.csv: cleaned daily temperature data for growing season period and greenness predictors extracted from Sentinel-2 imagery

  • disko_veg_microclim.Rproj: RStudio project file

  • figures

    • drawings: conceptual drawings of sensors and study systems that were used in figures, all created by JvO

    • Code to recreate figures is in scripts/figures.R (maps in Figs. 1a and S4 require ArcticDEM data)

  • model_outputs: model output files (>> scripts/analyses.R). File naming scheme: “model_output_{sensor or sensor pair for comparison}_{if winter season: ndjfm}_{plot radius considered for predictor data [50/200/564 cm]}.Rdata”. Model outputs from (k)NDVI models finish with the respective string.

  • scripts

    • analyses: data exploration and analysis
    • data_cleaning: data cleaning workflow
    • figures: code to recreate figures from the paper. Maps in Figs. 1a and S4 require ArcticDEM data
    • functions: custom functions developed for analyses, data cleaning and figure creation
    • tables: code to reproduce tables in the main manuscript and supplementary material

Contact

The data are being made openly available upon publication of the study. However, we kindly ask you to contact us before using the data:

Jonathan von Oppen, Department of Biology, Aarhus University, Denmark. jonathan.vonoppen@bio.au.dk

Dataset owner and manager: Signe Normand, Department of Biology, Aarhus University, Denmark. signe.normand@bio.au.dk