As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
PhytOakmeter (www.phytoakmeter.de) is a field platform using the Quercus robur oak clone DF159 outplanted since 2010. This platform is used to monitor the impact of climate change and land use management on the "soil - plant - interactor" complex. Sites from PhytOakmeter are located either in forest or grassland habitats and represent a wide range of environmental contexts with specific stressors. All sites are equipped with loggers measuring air and soil temperature and soil moisture. Soil cores have been collected to analyze their chemical and physical characteristic. The DKr plot in Kreinitz (Germany) started in 2010 with 12 oak trees outplanted yearly between 2010 and 2019 over two 11m x 15m grassland plots. Soil temperature and soil moisture were measured between 2016 and 2025, and soil chemistry was assessed yearly in the root-affected zone of trees aged between one and five years. Soil porosity and texture were evaluated in 2020. The bundled publication is supplemented by recorded precipitation and weather data from an automatic weather station located on site.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter platform (www.phytoakmeter.de), soil chemical parameters were determined each year between 2014 and 2024. Soil pH was measured using a glass electrode in a 1:2.5 soil-to-0.01 M CaCl2 suspension after one hour of equilibration. Gravimetric soil moisture was assessed with a fully automated moisture analyzer (DBS60-3, KERN & SOHN GmbH, Balingen, Germany), here defined as soil moisture (MOI). Total nitrogen (TN) and total carbon (TC) contents in the soil were analyzed in triplicate through dry combustion using a Vario elemental analyzer (EL III, Elementar, Hanau, Germany), and the carbon-to-nitrogen ratio (TC/TN) was subsequently calculated from these values. To evaluate the potentially bioavailable soil organic carbon and nitrogen for microbial activity, hot water-extractable carbon and nitrogen (HWC and HWN, respectively) were determined following the methods of Ghani et al. (2003) and Schulz et al. (2011). Additionally, the labile organic carbon and nitrogen easily decomposable by soil microorganisms were measured as cold water-extractable carbon (CWC) and nitrogen (CWN) based on procedures described by Zsolnay (1996), Zakharova et al. (2015), and Schmidt et al. (2017). Ammonium and nitrate (NH4±N and NO3—N, respectively) were quantified, with their sum representing the total mineral nitrogen content (Nmin).
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter platform (www.phytoakmeter.de), soil porosity and soil texture were measured in 2020. Soil cores were taken at three depths (15cm, 30cm and 45cm) with six replicates at each depth. The dataset contains the values of soil density (g/cm3), soil porosity (cm3/ cm3), soil organic content (%), coarse silt (%), medium silt (%), fine silt (%), clay (%), coarse sand (%), medium sand (%), fine sand (%), total mineral content (%) and soil texture. Soil texture was classified according to Bodenkundliche Kartieranleitung (KA5, 2005; ISBN 978-3-510-95920-4) and grain size analysis with the KÖHN analysis according to DIN ISO 11277.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
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