SWECO25: Edaphic (edaph)

The edaphic category contains the "eiv" and "modiffus" datasets.

The eiv dataset includes variables representing local soil properties and climate conditions. After resampling the source data (Descombes et al., 2020) to the SWECO25 grid, we generated individual layers for the 8 available variables (soil pH, nutrients, moisture, moisture variability, aeration, humus, climate continentality, and light). For each variable, we provided a layer with the raw values and 13 focal statistics layers by applying a cell-level function calculating the mean value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 112 layers. Final values were rounded and multiplied by 100.

The modiffus dataset describes the nitrogen (n) and phosphorus (p) loads in Swiss soils. After resampling the source data (Hürdler et al., 2015) to the SWECO25 grid for these two variables, we provided the output maps and computed 13 focal statistics layers by applying a cell-level function calculating the average value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 28 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_edaph.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

Descombes, P. et al. Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography 43, 1448-1463 (2020).

Hürdler J., P. V., Spiess E. Abschätzung diffuser Stickstoff- und Phosphoreinträge in die Gewässer der Schweiz MODIFFUS 3.0: Bericht im Auftrag des Bundesamtes für Umwelt (BAFU). (Zürich, Switzerland, 2015).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update