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Plattformdaten

Übersicht

Detailansicht

The dataset includes physical properties of the mineral soils of the forest core plots in Laipuna at 600 m and 1200 m a.s.l. from soil profiles investigated during the sampling campaign in 2022. Three soil profiles were established on each core plot. Respresentative samples were taken from each horizon, dried and transported to Germany for laboratory analyses. Bulk density was measured in the topsoil with undisturbed soil cores. Soil texture was measured with a combined sieving and pipetting method after oxidation of organic matter and chemical dispersion of aggregates.

Weekly time series of throughfall data (water fluxes, electrical conductivity, pH values) from the natural forest in Laipuna at 1200 m a.s.l. (Plot 2). The updated weekly time series extends between December 2022 and July 2024. Throughfall was sampled with 20 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot and sampling period. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the research station Laipuna.

Weekly time series of throughfall data (water fluxes, electrical conductivity, pH values) from the natural forest in Laipuna at 600 m a.s.l. (Plot 1). The updated weekly time series extends between December 2022 and July 2024. Throughfall was sampled with 20 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot and sampling period. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the research station Laipuna.

Weekly time series of precipitation data (water fluxes, electrical conductivity, pH values) from the natural forest of Laipuna at 1200 m a.s.l. (near Plot 2). The updated weekly time series extends between December 2022 and July 2024. Precipitation was sampled with 5 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at research station Laipuna.

Weekly time series of precipitation data (water fluxes, electrical conductivity, pH values) from the natural forest of Laipuna at 600 m a.s.l. (near Plot 1). The updated weekly time series extends between December 2022 and July 2024. Precipitation was sampled with 5 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at research station Laipuna.

The dataset includes the chemical properties of the soil organic layer associated with the PFT trees species of the core plots in Bombuscaro, San Francisco and Cajanuma. The samples were taken during sampling campaigns in 2018 and 2019. Respresentative samples were taken from the whole organic layer at five locations close to each tree, bulked in the field, dried at 40 °C at the ECSF and transported to Germany for laboratory analyses. Total carbon, nitrogen and sulfur were measured by elemental analysis via thermal combustion in milled aliquots.

Weekly time series of precipitation data from the San Francisco area at 2000 m a.s.l. at the measuring station FN3 located at the climate station on T2. Precipitation was measured with 5 Hellmann-type pluviometers. The resulting weekly replicates of precipitation were volume-weighted and bulked to one sample per collecting interval. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Aggregated values from 2000 are incomplete (May to December).

Weekly time series of precipitation data from the San Francisco area at 2000 m a.s.l. at the measuring station FN2 located at the intersection of Camino Canal and Camino Zig-Zag. Precipitation was measured with 5 Hellmann-type pluviometers. The resulting weekly replicates of precipitation were volume-weighted and bulked to one sample per collecting interval. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Aggregated values from 1998 are incomplete (March to December).

Weekly time series of throughfall data (water fluxes, electrical conductivity, pH values) from the Bombuscaro site at 1000 m a.s.l. located in NUMEX Plot 12 (control). The updated weekly time series extends between March 2018 and December 2023. Throughfall was sampled with 20 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot and sampling period. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Aggregated values from 2018 are incomplete (March to December).

Weekly time series of precipitation data (water fluxes, electrical conductivity, pH values) from the Bombuscaro site at 1000 m a.s.l. located at the climate station. The updated weekly time series extends between March 2018 and December 2023. Precipitation was sampled with 5 Hellmann-type collectors. Replicates were collected, volume-weighted and bulked to one sample per plot. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Aggregated values from 2018 are incomplete (March to December).

The dataset includes chemical properties of the mineral soil associated with the PFT trees species of the core plots in Bombuscaro, San Francisco and Cajanuma. The samples were taken during sampling campaigns in 2018 and 2019. Respresentative samples were taken from the mineral soil at five locations close to each tree from 0-10 cm mineral soil depth, bulked in the field, dried at 40 °C at the ECSF and transported to Germany for laboratory analyses. Total carbon, nitrogen and sulfur were measured by elemental analysis via thermal combustion in milled aliquots. Available P was measured in the < 2mm soil fraction after extraction by the Olsen method with 0.5 M NaHCO3 and measurement by continuous flow analysis.