Free access and download to of a growing selection of DWD’s climate data. Via CDC Search you will find data for direct download and interactive access to station data. The interactive mode gives graphical and tabular previews of the German station data. In addition, all data sets remain accessible from our ftp server for direct download
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 humidity. Soil cores have been collected to analyze their chemical and physical characteristic. The DGRL plot in Greifenhagen (Germany) started in 2015 with 11 oak trees outplanted over a 50m x 10m grassland plot. Soil and air temperature were measured since 2018, soil moisture was measured since 2019, and soil chemistry was assessed in the root-affected zone of trees in 2016, 2020 and 2022. Soil porosity and texture were evaluated in 2020.
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.
Die Vorhersage der Kohlenstoff(C)bilanz von Wäldern bei geänderten Klimabedingungen ist eine komplexe Aufgabe. Es bedarf des Verständnisses des Abbaus der organischen Substanz (SOM) im Boden wie etwa der Temperatur- und Feuchtigkeitsempfindlichkeit und der Substratqualität für Bodenmikroorganismen. Für eine Abschätzung der künftigen C-Speicherung in Waldökosystemen ist die Kenntnis der langfristigen Entwicklung des organischen Boden-Kohlenstoffvorrats entscheidend. Erhöhte Bodentemperaturen ermöglichen den Bodenmikroorganismen die organische Substanz schneller abzubauen. Das führt zu einer erhöhten Freisetzung von Bodenkohlenstoff in Form von CO2 (Bodenatmung). Sobald der leicht abbaubare Bodenkohlenstoff verbraucht ist, kann sich der temperaturbedingte Anstieg der Bodenatmung längerfristig wieder abschwächen. Die Rolle der Bodenmikroorganismen in diesem Zusammenhang ist noch nicht geklärt. So würde eine Verschiebung von einer bakterien-dominierten Gemeinschaft zu einer pilz-dominierten Gemeinschaft den Umsatz schwer abbaubaren organischen Materials fördern und den Effekt einer Erwärmung auf die CO2-Emission verstärken. Andererseits kann die physiologische Anpassung von Mikroorganismen an geänderte Umweltbedingungen den Temperatureffekt abschwächen. Eine weitere Unsicherheit ist die mikrobielle Aktivität im Winter und die damit verbundene CO2-Ausgasung aus dem Boden. Gerade in wenig produktiven Bergwäldern stellt die winterliche CO2-Emission einen beträchtlichen Teil des C-Flusses des ganzen Jahres dar. Neben der Bodentemperatur wirken sich auch Veränderungen der Niederschlagsmenge bzw. der zeitlichen Verteilung des Niederschlags unmittelbar auf den Bodenkohlenstoff-Umsatz aus. Klimasimulationen sagen für das Untersuchungsgebiet trockenere Sommer, mehr Niederschlag im Winter und eine Verlängerung der Schneedeckendauer vorher. Diese Effekte könnten den stimulierenden Effekt des Temperaturanstieges auf die Bodenatmung abschwächen. In unserer Studie soll ein bereits bestehendes Bodenerwärmungsexperiment adaptiert werden um die CO2-Emissionen aus dem Boden unter verschiedenen Niederschlagsszenarien auf Kontrollflächen und Erwärmungsflächen zu messen. Während der Vegetationsperiode beträgt die Temperaturerhöhung auf den Erwärmungsflächen konstante 3 C. Mit einer Dachkonstruktion soll im Sommer temporär eine Dürreperiode erzeugt werden. Erhöhter Niederschlag im Spätwinter wird durch Schneezugabe auf die Versuchsflächen simuliert. Die bestehende Versuchsanordnung ermöglicht die Unterscheidung zwischen autotropher und heterotropher Bodenatmung. Die Organismen, die für die heterotrophe Atmung zuständig sind, werden mit molekularen Methoden der Mikrobiologie untersucht. Die Ergebnisse des Experiments werden zeigen, ob die Böden von Bergwäldern in einer wärmeren Umwelt eine potentielle Quelle oder doch eine Senke von C sind. usw.
Soil temperature at 15cm depth and air temperature at 60cm height were collected using HOBO Pro V2 loggers, model U23-004. Two loggers were used. After data visualization, unrealistic values were removed manually for each logger, and mean temperature values were calculated at 30-minute intervals.
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 (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.
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