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  • 1
    Publication Date: 2023-01-13
    Description: The data was collected in conjunction with the HILLSCAPE project (see hillscape.ch for details). The project made use of two proglacial chronosequences located at Klausen Pass (Griess Glacier) and Susten Pass (Stein Glacier) in central Switzerland. Each of the chronosequences consisted of four moraines. The moraines of the Stein Glacier foreland had estimated terrain ages of 30a (a = years), 160a, 3ka (ka = thousands of years), and 10ka. The moraines of the Griess Glacier foreland had estimated terrain ages of 110a, 160a, 4.9ka, and 13.5ka. We conducted vegetation surveys on 10 plots per moraine and measured the coverage of every occurring species by visual estimation. In addition, we measured plant functional traits (SLA = specific leaf area, LDMC = leaf dry matter content) from individuals of the same plots. Further trait data on canopy height, seed mass, seed dispersal type, and woodiness were obtained from online plant trait databases. The stored dataset includes two files, one containing the species and the coverages per plot and one containing the species and their functional plant traits.
    Keywords: Alpine habitat; chronosequence; glacier foreland; plant functional traits
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-08-22
    Description: The sampling campaign took place in August/September 2017 as part of the project HILLSCAPE, Hillslope Chronosequence and Process Evolution. This dataset comprises different pore parameters measured by Computed Tomography. Parameters of the pores include volume, radius, area and equivalent diameter. The Skeleton files include graph, segment and node statistics.
    Keywords: Age, relative, number of years; Alps; chronosequence; Computed Tomography; DATE/TIME; Depth, bottom/max; DEPTH, soil; Depth, top/min; Event label; File format; File name; File size; HILLSCAPE; HILLSlope Chronosequence And Process Evolution; Klausenpass; Klausenpass_K-A1; Klausenpass_K-A2; Klausenpass_K-B1; Klausenpass_K-B2; Klausenpass_K-C1; Klausenpass_K-C2; Klausenpass_K-D1; Klausenpass_K-D2; Landform; LATITUDE; Location; LONGITUDE; moraine; Operation number; Parent material; Sample ID; Soil; SOIL; Soil profile; Sustenpass; Sustenpass_S-A1; Sustenpass_S-A2; Sustenpass_S-B1; Sustenpass_S-B2; Sustenpass_S-C1; Sustenpass_S-C2; Sustenpass_S-D1; Sustenpass_S-D2; Uniform resource locator/link to file; XRT
    Type: Dataset
    Format: text/tab-separated-values, 207 data points
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  • 3
    Publication Date: 2024-02-05
    Description: This dataset comprises soil chemical and mineralogical data of the moraine soil chronosequences from Sustenpass and Klausenpass in the Swiss Alps. The chronosequences span from 30 to 10,000 yrs (Sustenpass, siliceous parent material) and from 110 to 13,500 yrs (Klausenpass, calcareous parent material), respectively. Parameters include: pH (CaCl2), loss on ignition (LOI, 550°C), Corg, N. Elemental contents (measured by X-ray Fluorescence, XRF ) and calculated tau (open-system mass transport function) and mass balances for Na, Al, Mg, Si, P, K, Ca, Mn, Fe. Lastly, the bulk mineralogy of the fine earth (measured by X-ray Diffraction, XRD). Sampling was conducted in August/September 2017 at Sustenpass and Klausenpass and was part of the HILLSCAPE (Hillslope Chronosequence and Process Evolution) project's sampling campaign. pH, LOI and XRF measurements were conducted in 2017/2018 at the University of Zurich (Switzerland), the mineralogy was measured in 2020 at ETH Zurich (Switzerland), Corg and N were measured in 2020 at the University of Zurich. The calculations of the open-system mass transport function and mass balances were performed in 2021 at the University of Zurich. These data were collected to elucidate soil development in siliceous and calcareous parent materials in order to better understand the evolution of hillslope processes over time. They were described and discussed in detail in Musso et al. 2022 (doi:10.3390/geosciences12020099). For hydrological or geobotanical data from the same chronosequences, see for instance the publications of F. Maier (doi:10.1029/2021WR030223, doi:10.1029/2021WR030221, doi:10.1016/j.catena.2019.104353), K. Greinwald (doi:10.1080/15230430.2020.1859720, doi:10.1111/jvs.12993) and A. Hartmann (doi:10.5194/hess-2020-28, doi:10.5194/essd-12-3189-2020).
    Keywords: Age, relative, number of years; Aluminium oxide; Aluminium oxide, standard deviation; calcareous pedogenesis; Calcite; Calcite, standard deviation; Calcium carbonate; Calcium carbonate, standard deviation; Calcium oxide; Calcium oxide, standard deviation; Calculated according to Musso et al., 2022; Carbon; Carbon, organic, per unit sediment mass; Carbon, organic, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Chlorite, trioctahedral; Chlorite, trioctahedral, standard deviation; chronosequence; Clinozoisite; Clinozoisite, standard deviation; Density, dry bulk; Density, dry bulk, standard deviation; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Depth comment; Dolomite; Dolomite, standard deviation; elemental analysis; ELEVATION; Event label; Exposition; glacial forefield; Goethite; Goethite, standard deviation; HILLSCAPE; HILLSlope Chronosequence And Process Evolution; Hornblende; Hornblende, standard deviation; Iron oxide, Fe2O3; Iron oxide, Fe2O3, standard deviation; Iron oxide, FeO; Iron oxide, FeO, standard deviation; Kalifeldspar; Kalifeldspar, standard deviation; Klausenpass; Klausenpass_K-A1; Klausenpass_K-A2; Klausenpass_K-B1; Klausenpass_K-B2; Klausenpass_K-C1; Klausenpass_K-C2; Klausenpass_K-D1; Klausenpass_K-D2; Landform; Latitude of event; Location; Longitude of event; Loss on ignition; Magnesium oxide; Magnesium oxide, standard deviation; Manganese oxide; Manganese oxide, standard deviation; mass balance; Mass balance, Aluminium; Mass balance, Aluminium, standard deviation; Mass balance, Calcium; Mass balance, Calcium, standard deviation; Mass balance, Iron; Mass balance, Iron, standard deviation; Mass balance, Magnesium; Mass balance, Magnesium, standard deviation; Mass balance, Manganese; Mass balance, Manganese, standard deviation; Mass balance, Phosphorus; Mass balance, Phosphorus, standard deviation; Mass balance, Potassium; Mass balance, Potassium, standard deviation; Mass balance, Silicon; Mass balance, Silicon, standard deviation; Mass balance, Sodium; Mass balance, Sodium, standard deviation; Mica, dioctahedral; Mica, dioctahedral, standard deviation; Mica, interstitial; Mica, interstitial, standard deviation; moraine; Nitrogen; Nitrogen, standard deviation; open-system transport functions; organic matter; oxalate extraction; Parent material; pH calcium chloride; Phosphorus pentoxide; Phosphorus pentoxide, standard deviation; Plagioclase; Plagioclase, standard deviation; Potassium oxide; Potassium oxide, standard deviation; Quartz; Quartz, standard deviation; Rutile; Rutile, standard deviation; siliceous pedogenesis; Silicon dioxide; Silicon dioxide, standard deviation; Site; Skeleton; Slope angle; Slope description; Sodium oxide; Sodium oxide, standard deviation; Soil; SOIL; Soil horizon; soil mineralogy; Soil profile; Soil type; Sulfur trioxide; Sulfur trioxide, standard deviation; Sustenpass; Sustenpass_S-A1; Sustenpass_S-A2; Sustenpass_S-B1; Sustenpass_S-B2; Sustenpass_S-C1; Sustenpass_S-C2; Sustenpass_S-D1; Sustenpass_S-D2; Tau, Aluminium; Tau, Aluminium, standard deviation; Tau, Calcium; Tau, Calcium, standard deviation; Tau, Iron; Tau, Iron, standard deviation; Tau, Magnesium; Tau, Magnesium, standard deviation; Tau, Manganese; Tau, Manganese, standard deviation; Tau, Phosphorus; Tau, Phosphorus, standard deviation; Tau, Potassium; Tau, Potassium, standard deviation; Tau, Silicon; Tau, Silicon, standard deviation; Tau, Sodium; Tau, Sodium, standard deviation; Titanium, strain coefficient; Titanium, strain coefficient, standard deviation; Titanium dioxide; Titanium dioxide, standard deviation; World Reference Base (WRB) soil classification system; X-ray diffraction (XRD); X-ray fluorescence (XRF); Zirconium dioxide; Zirconium dioxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 4789 data points
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  • 4
    Publication Date: 2024-03-21
    Description: This data set comprises Plutonium measurements in undisturbed soils in the Swiss Alps. It contains 239+240Plutonium activities and 240Pu/239Pu ratios to determine the origin of the Plutonium. The samples were taken as part of HILLSCAPE (Hillslope Chronosequences and Process Evolution) in August/September 2017.
    Keywords: Age, relative, number of years; chronosequence; Comment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; ECS; Eijkelkamp core sampler; Event label; Fallout Radionuclides; HILLSCAPE; HILLSlope Chronosequence And Process Evolution; Inductively coupled plasma - mass spectrometry (ICP-MS); Klausenpass_K-A-E; Klausenpass_K-A-Ref; Klausenpass_K-B-E; Klausenpass_K-B-Ref; Klausenpass_K-C-E; Klausenpass_K-C-Ref; Klausenpass_K-D-E; Klausenpass_K-D-Ref; Landform; LATITUDE; Location; LONGITUDE; Moraines; mountainous; Parent material; Plutonium; Plutonium-239+240; Plutonium-239+240, standard deviation; Plutonium-240/Plutonium-239, atomic ratio; Plutonium-240/Plutonium-239, atomic ratio, standard deviation; Sample ID; Site; Slope; Slope description; Soil; Swiss Alps; Type
    Type: Dataset
    Format: text/tab-separated-values, 2016 data points
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  • 5
    Publication Date: 2024-03-21
    Description: This data set comprises Plutonium measurements in undisturbed soils in the Swiss Alps. It contains 239+240Plutonium activities and 240Pu/239Pu ratios to determine the origin of the Plutonium. The samples were taken as part of HILLSCAPE (Hillslope Chronosequences and Process Evolution) in August/September 2017.
    Keywords: Age, relative, number of years; chronosequence; Comment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; ECS; Eijkelkamp core sampler; Event label; Fallout Radionuclides; HILLSCAPE; HILLSlope Chronosequence And Process Evolution; Inductively coupled plasma - mass spectrometry (ICP-MS); Landform; LATITUDE; Location; LONGITUDE; Moraines; mountainous; Parent material; Plutonium; Plutonium-239+240; Plutonium-239+240, standard deviation; Plutonium-240/Plutonium-239, atomic ratio; Plutonium-240/Plutonium-239, atomic ratio, standard deviation; Sample ID; Site; Slope; Slope description; Soil; Sustenpass_S-A-E1; Sustenpass_S-A-E2; Sustenpass_S-A-Ref; Sustenpass_S-B-E1; Sustenpass_S-B-E2; Sustenpass_S-B-Ref; Sustenpass_S-C-E1; Sustenpass_S-C-E10; Sustenpass_S-C-E11; Sustenpass_S-C-E12; Sustenpass_S-C-E13; Sustenpass_S-C-E14; Sustenpass_S-C-E15; Sustenpass_S-C-E16; Sustenpass_S-C-E17; Sustenpass_S-C-E2; Sustenpass_S-C-E3; Sustenpass_S-C-E4; Sustenpass_S-C-E5; Sustenpass_S-C-E6; Sustenpass_S-C-E7; Sustenpass_S-C-E8; Sustenpass_S-C-E9; Sustenpass_S-C-Ref; Sustenpass_S-D-E1; Sustenpass_S-D-E2; Sustenpass_S-D-Ref; Swiss Alps; Type
    Type: Dataset
    Format: text/tab-separated-values, 2889 data points
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  • 6
    Publication Date: 2020-12-14
    Description: The near-surface saturated hydraulic conductivity (Ksat) is an important hydrological characteristic because it determines surface infiltration rates and the vertical and lateral redistribution of water in the soil. However, there is comparatively little knowledge about the changes in Ksat during landscape development and how the co-evolution of biological, pedological and hydrological characteristics affect the movement of water through the soil. On the one hand, increasing vegetation cover is expected to increase macroporosity and thus Ksat. On the other hand, clay formation is expected to decrease Ksat. To investigate how hillslope aging affects Ksat, we used a space-for-time approach and conducted comprehensive measurements of vegetation, soil and topography on a chronosequence of moraines in a proglacial area of the Swiss Alps. On four moraines, ranging from about ten thousand to ~30 years in age, we measured for three plots the near-surface soil characteristics. Surface and near-surface Ksat were high and decreased with depth on all moraines. Surface Ksat was highest on the youngest moraine (median: 4320 mm hr−1) and lowest (540 mm hr−1) on the oldest moraine. Ksat was significantly positive correlated with soil texture and the gravel content in the surface soil layer. The correlation analyses and Structural Equation Model suggested that the larger fraction of small particles for the older moraines had a bigger effect on Ksat than the denser root network. Even though the variability in measured Ksat-values within the moraines was high and water movement is thus likely very heterogeneous, the measured Ksat values suggest that infiltration-excess overland flow is very unlikely on these hillslopes but (lateral) near surface flow likely increases with the age of the hillslope. This information is important for understanding differences in runoff generation mechanisms in alpine areas with moraines of different ages, as well as landscape evolution models.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 7
    Publication Date: 2023-02-01
    Description: Soil development and erosion are important and opposing processes in the evolution of high-mountainous landscapes, though their dynamics are not fully understood. We compared soil development between a calcareous and a siliceous chronosequence in the central Swiss Alps at high altitudes, which both cover soil formation over the Holocene. We calculated element mass balances, long-term erosion rates based on meteoric 10Be and we determined the rates of soil formation. We also analyzed the shifts in the mineralogical composition, weathering indices, the particle size distribution, carbon stocks and oxalate extractable Fe, Al, and Mn. The siliceous soils had high chemical weathering rates at the early stage of soil formation that strongly decreased after a few millennia. The development of calcareous soil was characterized by high carbonate losses and a shift to finer soil texture. Soil erosion hampered the upbuilding of soil horizons in the early stages of soil development, which led to a delay in soil and vegetation development. This study shows how soil formation drivers change over time. In the early stages of soil development, the parent material predominantly drives soil formation while at later stages the vegetation becomes more dominant as it influences surface stability, hydrological pathways, and chemical weathering that determine water drainage and retention.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 8
    Publication Date: 1977-12-01
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
  • 10
    Publication Date: 1993-08-01
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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