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Number of available datasets: 102
A black alder plantation improves the greenhouse gas balance of a degraded moist peat grassland10.4228/ZALF.2012.329GermanyKleiner LandgrabenGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Bereswill, Sahra; Hoffmann, Mathias; Huth, Vytas; Popova, Yulia; Zak, Dominik; Augustin, Jürgen

The dataset contains information about a two-year study (August 2010 – August 2012), regarding the effect of a newly established black alder plantation on the net GHG balance of a degraded fen in northeastern Germany. In detail, an black alder plantation (Awet) is compared with an extensively used meadow (Mwet) both characterized by very moist soil conditions and a drier reference meadow (Mmoist) characterized by moderately moist soil conditions. CO2 , CH4 and N2O fluxes were measured monthly to bimonthly with the manual closed chamber method. Fluxes were calculated using a modular R script and gap filled to obtain continuous daily fluxes.
Bereswill, Sahra; Hoffmann, Mathias; Huth, Vytas; Popova, Yulia; Zak, Dominik; Augustin, Jürgen (2017): A black alder plantation improves the greenhouse gas balance of a degraded moist peat grassland, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2012.329]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz for Agricultural Landscape Research (ZALF)

 
Maize C-dynamics are driven by soil erosion state and plant phenology rather than N-fertilization form10.4228/ZALF.2011.325DedelowDedelowGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Pohl, Madlen; Hoffmann, Mathias; Jurisch, Nicole; Prescher, Anne-Katrin; Mendez Campa, Estefania; Hagemann, Ulrike; Remus, Rainer; Verch, Gernot; Sommer, Michael; Augustin, Jürgen

The dataset contains information about dynamic and seasonal net ecosystem carbon balances (NECB) for maize for the growing season 2011, measured at five sites at the “CarboZALF-D” experimental field. Measurement sites differ regarding soil type (non-eroded Albic Luvisols, extremely eroded Calcaric Regosol and depositional Endogleyic Colluvic Regosol,) and N fertilization form (100% mineral fertilizer, 50% mineral and 50% organic fertilizer, 100% organic fertilizer). Fertilization treatments were established on the Albic Luvisol. Net ecosystem CO2 exchange (NEE) and ecosystem respiration (Reco) were measured every four weeks using a dynamic flow-through non-steady-state closed manual chamber system. Gap filling was performed based on empirical temperature and PAR dependency functions, used to derive daily NEE values. In parallel, daily above-ground biomass production (NPPshoot) was estimated using a sigmoidal growth function, based on periodic biomass sampling. Finally, NECB dynamics (as a proxy for soil C dynamics) were calculated as the balance of daily NEE and NPPshoot under consideration of the initial C input due to fertilization.
Pohl, Madlen; Hoffmann, Mathias; Jurisch, Nicole; Prescher, Anne-Katrin; Mendez Campa, Estefania; Hagemann, Ulrike; Remus, Rainer; Verch, Gernot; Sommer, Michael; Augustin, Jürgen (2017): Maize C-dynamics are driven by soil erosion state and plant phenology rather than N-fertilization form, Leibniz Centre for Agricultural Landscape Research(ZALF)[doi: 10.4228/ZALF.2011.325]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz for Agricultural Landscape Research (ZALF)
Funder: German Federal Ministry of Food and Agriculture (BMEL; 22021008; 08NR210)
Funder: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
Funder: Fachagentur Nachwachsende Rohstoffe e.V. (FNR; 22021008; 08NR210)

 
A comprehensive data set demonstrating the spatial variability of soil properties at field scale10.4228/ZALF.2003.327GermanyMünsterlandGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Wallor, Evelyn

The data set contains information about soil properties at 80 grid points of a 20 ha large agricultural used field in North Rhine-Westphalia. Each grid point was mapped and sampled up to the soil depth of 90 cm. Over a period of four years  (1999 to 2002) soil analysis was conducted considering soil moisture and mineral nitrogen content before sowing and after harvest. Basic information about agricultural management, soil texture, soil organic carbon and annual yield are included.
Wallor, Evelyn (2017): A comprehensive data set demonstrating the spatial variability of soil properties at field scale, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2003.327]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: DataCite

 
Divergent NEE balances from manual-chamber CO2 fluxes linked to different measurement and gap-filling strategies: A source for uncertainty of estimated terrestrial C sources and sinks?10.4228/ZALF.2014.324Münchebergshow on mapGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Huth, Vytas; Vaidya, Shrijana; Hoffmann, Mathias; Jurisch, Nicole; Günther, Anke; Gundlach, Laura; Hagemann, Ulrike; Elsgaard, Lars; Augustin, Jürgen

Manual closed-chamber measurements are commonly used to quantify annual net CO2 ecosystem exchange (NEE) in a wide range of terrestrial ecosystems. However, differences in both the acquisition and gap filling of manual closed-chamber data are large in the existing literature, complicating inter-study comparisons and meta analyses. This data set contains data of a study which compares common approaches for quantifying CO2 exchange at three methodological levels.
(i) The first level included two different CO2  flux measurement methods: one via measurements during mid-day applying net coverages (mid-day approach) and one via measurements from sunrise to noon (sunrise approach) to capture a span of light conditions for measurements of NEE with transparent chambers. (ii) The second level included three different methods of pooling measured ecosystem respiration (RECO) fluxes for empirical modeling of RECO: campaign-wise (single-measurement-day RECO models), season-wise (one RECO model for the entire study period), and cluster-wise (two RECO models representing a low and a high vegetation status). (iii) The third level included two different methods of deriving fluxes of gross primary production (GPP): by subtracting either proximately measured RECO fluxes (direct GPP modeling) or empirically modeled RECO fluxes from measured NEE fluxes (indirect GPP modeling). Measurements were made during 2013-2014 in a lucerne-clover-grass field in NE Germany. Besides modelled half-hourly RECO, NEE and GPP, measured CO2-fluxes, plant height and C content of aboveground biomass as well as weather conditions are given.
Huth, Vytas; Vaidya, Shrijana; Hoffmann, Mathias; Jurisch, Nicole; Günther, Anke; Gundlach, Laura; Hagemann, Ulrike; Elsgaard, Lars; Augustin, Jürgen (2017): Divergent NEE balances from manual-chamber CO2 fluxes linked to different measurement and gap-filling strategies: A source for uncertainty of estimated terrestrial C sources and sinks?, Leibniz Centre for Agricultural Landscape Research(ZALF)[doi: 10.4228/ZALF.2014.324]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)<

 
A simple method to assess the impact of sealing, headspace mixing and pressure vent on airtightness of manual closed chambers10.4228/ZALF.2016.316MünchebergMüncheberg GreenhouseGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​​​Hoffmann, Mathias; Pehle, Natalia; Huth, Vytas; Jurisch, Nicole; Sommer, Michael; Augustin, Jürgen

The data set contains data from a full-factorial laboratory experiment, were three different designs and two modifications of typical manual closed chamber setups were tested for sealing integrity. Tests were performed using a simple method, based on injections of single CO2 pulses. Chamber designs differed in V:A-ratio nand chamber-collar sealing (water, rubber-foam, rubber-tube). All chambers were tested with and without pressure vent and fan. Included are measured CO2-concentration data as well as calculated seailing integrity in terms of chamber leakage. Results indicate significant differences in sealing integrity due to chamber-collar sealing strategy. The effect of pressure vent and fan, however, is of minor importance.
Hoffmann, Mathias; Pehle, Natalia; Huth, Vytas; Jurisch, Nicole; Sommer, Michael; Augustin, Jürgen (2017): A simple method to assess the impact of sealing, headspace mixing and pressure vent on airtightness of manual closed chambers, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2016.316]

​HostingInstitution: Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V. , Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institut für Landschaftsbiogeochemie, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.

 
Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories10.4228/ZALF.2017.322Dedelowshow on mapGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Hoffmann, Mathias; Jurisch, Nicole; Garcia Alba, Jana; Albiac Borraz, Elisa; Schmidt, Marten; Huth, Vytas; Rogasik, Helmut; Rieckh, Helene; Verch, Gernot; Sommer, Michael; Augustin, Jrgen

Carbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon (deltaSOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial (10–30m) and temporal changes in SOC stocks, particularly pronounced in arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in ΔSOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil–plant– atmosphere system may help to obtain temporal ΔSOC patterns but lack small-scale spatial resolution. To overcome these limitations, this study presents a reliable method to detect both short-term temporal dynamics as well as small-scale spatial differences of ΔSOC using measurements of the net ecosystem carbon balance (NECB) as a proxy. To estimate the NECB, a combination of automatic chamber (AC) measurements of CO2 exchange and empirically modeled aboveground biomass development (NPPshoot) were used.To verify the method, results were compared with ΔSOC observed by soil resampling. Soil resampling and AC measurements were performed from 2010 to 2014 at a colluvial depression located in the hummocky ground moraine landscape of northeastern Germany. The measurement site is characterized by a variable groundwater level (GWL) and pronounced small-scale spatial heterogeneity regarding SOC and nitrogen (Nt) stocks. Reported data sets contain: (1) weather data (PAR, air temperature, precipitation, gorundwater level (GWL)); (2) calculated CO2-fluxes; (3) gap-filled and modelled daily sums of Reco, GPP and NEE; (4) data regarding chamber position specific LAI-measurements, parcell biomass sampling campaigns and harvests at chamber position; as well as (5) derived logistic models (daily) of aboveground plant C content (NPPshoot). Tendencies and magnitude of ΔSOC values derived by AC measurements and repeated soil inventories corresponded well. The period of maximum plant growth was identified as being most important for the development of spatial differences in annual ΔSOC. Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial differences and short-term temporal dynamic sof ΔSOC.
Hoffmann, Mathias; Jurisch, Nicole; Garcia Alba, Juana; Albiac Borraz, Elisa; Schmidt, Marten; Huth, Vytas; Rogasik, Helmut; Rieckh, Helene; Verch, Gernot; Sommer, Michael; Augustin, Jürgen (2017): Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories, Leibniz Centre for Agricultural Landscape Research(ZALF)[doi: 10.4228/ZALF.2017.322]

​HostingInstitution: Leibniz Centre for Agricultural Landscape Research, Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institute of Landscape Biogeochemistry, Leibniz for Agricultural Landscape Research (ZALF)
DataCollector: Institute of Soil Landscape Research, Leibniz for Agricultural Landscape Research (ZALF)

 
10.5194/bg-14-1-2017
Weather Data 2014, Muencheberg, Germany10.4228/ZALF.2017.321MünchebergShow on mapgo to DataCiteView Sample DataDownload Complete DatasetCreative Commons BY 4.0

​Wenkel, Karl Otto
Sowa, Dieter

The automatic weather station Müncheberg was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Müncheberg, district Märkisch-Oderland, state Brandenburg, Germany. Altitude in meter: 62 NN, Geographic latitude: 52,517681 N, Geographic longitude: 14,123200 E,Type: FMA 86. In 2001, the station was replaced by a new system of the same type. In 2014, data have been collected for: soil temperatur in 20cm depth (°C); soil temperatur in 5cm depth (°C); soil temperatur in 50cm depth (°C); soil temperatur in 10cm depth (°C); soil temperatur in 100cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm)
Wenkel, Karl Otto; Sowa, Dieter (2017): Weather Data 2014, Muencheberg, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2017.321]

Continues: 10.4228/ZALF.2013.285

 

Weather Data 2014, Dedelow, Germany10.4228/ZALF.2014.320DedelowShow on mapgo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Verch, Gernot
The agrometeorological weather station Dedelow was installed in 1991 by the Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the research station of ZALF in Dedelow. The station is located within the municipality Dedelow, district Uckermark, state Brandenburg, Germany. Altitude in meter: 49 NN, Geographic latitude: 53,3665 N, Geographic longitude: 13,8030 E,Type: FMA 86. In 2014, data have been collected for: soil temperature in 5/20/50cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 20cm above ground (°C); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm). Data are saved by the logger of the station and are automatically transferred onto a PC which uses the Software MeteoWare Pro 1.02.
Verch, Gernot (2017): Weather Data 2012, Dedelow, Germany, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2014.320]
HostingInstitution: Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V., Müncheberg (Germany)
DataManager: Abteilung Landschaftsinformationssysteme, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Forschungsstation Dedelow, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.
Matric potential and soil water content data of eroded Luvisols in weighing lysimeters10.4228/ZALF.2015.291Show on mapGo to DataCiteView sample dataDownload complete datasetCreative Commons Attribution-NonCommercial 4.0

​Herbrich, Marcus
Gerke, Horst H.
Sommer, Michael

Six weighing lysimeters (1.5 m height; 1.0 m in diameter) with a soil surface area of 1.0 m² were installed on ground surface level at the Experimental Field Station Dedelow of the Leibniz Centre for Agricultural Landscape Research (ZALF). Water retention time series from 2012-2014 were obtained from tensiometer/MPS-1 sensors and TDR data measured in 10, 30, and 50 cm depths of six soil monoliths of lysimeters extracted from two differently managed field sites (lysimeters 1, 3, 5 from site Dedelow, lysimeters 2, 4, 6 from site Holzendorf).
Herbrich, Marcus; Gerke, Horst H.; Sommer, Michael (2016): Matric potential and soil water content data of eroded Luvisols in weighing lysimeters, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2015.291]

​HostingInstitution: Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V. , Müncheberg (Germany)
RegistrationAgency: German National Library of Science and Technology - TIB
DataCollector: Institut für Bodenlandschaftsforschung, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.
Funder: Helmholtz-Zentrum Potsdam, Deutsches GeoForschungsZentrum GFZ
ResearchGroup: TERENO SoilCan

Sap flux density in 10 stems of a mature beech forest in the northeastern lowlands of Germany 10.4228/ZALF.2005.312StechlinShow on mapgo to DataCiteView Sample DatasetDownload Complete DatasetCreative Commons BY 4.0

​Lüttschwager, Dietmar
Jochheim, Hubert

Sap flux density was measured in 10 stems of a mature beech forest (Fagus sylvatica L.) in the northeastern lowlands of Germany during vegetation periods of years 2002 to 2005. The site represents an intensive monitoring core plot (DE1207) of the ICP Forests level II program (http://icp-forests.net/). The stand was growing on groundwater-distant, weakly degraded soil (Dystric Arenosol; FAO classification 1974). The humus type is moder. It was established in 1888 as a plantation under Scots pine (Pinus sylvestris L.) trees. Investigated trunks are described by stem diameter at breast height and tree height. Sap flow density of several depths of the trunks and data of the air temperature, air humidiy, global radiation, wind speed, and precipitation are given as hourly values. Xylem sap flux measurements performed to trees and tree stands allow differentiation of transpiration by different vegetation layers. The total transpiration of the canopy corresponds to the water flow through the trunk. Scaling from the sap flow measurement to stand transpiration is a two-step-procedure: firstly from sensor to tree and secondly from tree to stand. For the first step a radial profile of sap flow density is used. For scaling from tree to stand the structural inhomogeneity of the stand must be considered. The importance of this point is in even aged stands constricted, however, measurements should incorporate the differences of basal area and crown projected area of the trees.
Lüttschwager, Dietmar; Jochheim, Hubert (2016): Sap flux density in 10 stems of a mature beech forest in the northeastern lowlands of Germany , Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.[doi: 10.4228/ZALF.2005.312]
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