TY - CHAP A1 - Bartl, Steffen A1 - Biemelt, Detlef A1 - Badorreck, Annika A1 - Gerke, Horst H. T1 - Observations of flow path interactions with surface structures during initial soil development stage using irrigation experiments Y1 - 2010 UR - http://meetingorganizer.copernicus.org/EGU2010/EGU2010-10012.pdf ER - TY - CHAP A1 - Bartl, Steffen A1 - Biemelt, Detlef A1 - Badorreck, Annika A1 - Gerke, Horst H. T1 - Observations of flow path interactions with surface structures during initial soil development stage using irrigation experiments T2 - Structures and processes of the initial ecosystem development, 1st International Conference associated with 4th Meeting of Young Researchers in Earth Sciences (MYRES), 20-24 September 2010, Cottbus, Germany, proceedings Y1 - 2010 UR - https://www-docs.b-tu.de/chicken-creek/public/Proceedings_TR38_2010.pdf SP - S. 13 PB - BTU CY - Cottbus ER - TY - GEN A1 - Ngo, Viet V. A1 - Gerke, Horst H. A1 - Badorreck, Annika T1 - Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment T2 - Transport in Porous Media N2 - To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values.Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters α, Ks, θs, and n in the nonhysteretic model were found sensitive and parameter θs strongly correlated with parameter n. When assuming hysteresis, the estimability was decreased with soil depth for Ks and αd , and increased for θs and n. Among the shape parameters, αw was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Y1 - 2014 U6 - https://doi.org/10.1007/s11242-014-0315-6 VL - 103 IS - 3 SP - 535 EP - 562 ER - TY - GEN A1 - Moghadas, Davood A1 - Badorreck, Annika T1 - Machine learning to estimate soil moisture from geophysical measurements of electrical conductivity T2 - Near Surface Geophysics N2 - Soil water content (θ) is a key variable in different earth science disciplines since it mediates the water and energy exchange between the surface and atmosphere. Electrical and electromagnetic geophysical techniques have been widely used to estimate soil electrical conductivity (σ) and soil moisture. However, obtaining the σ − θ relationship is not straightforward due to the non-linearity and also dependency on many different soil and environmental properties. The purpose of this paper is to determine if artificial neural network is an appropriate machine learning technique for relating electrical conductivity to soil water content. In this respect, time-lapse electrical resistivity tomography measurements were carried out along a transect in the Chicken Creek catchment (Brandenburg, Germany). To ensure proper retrieval of the σ and θ, reference values were measured near the beginning of the transect via an excavated pit using 5TE capacitance sensors installed at different depths. We explored robustness and pertinence of the artificial neural network approach in comparison with Rhoades model (as a commonly used petrophysical relationship) to convert the inversely estimated σ from electrical resistivity tomography to the θ. The proposed approach was successfully validated and benchmarked by comparing the estimated values with the reference data. This study showed the superiority of the artificial neural network approach to the Rhoades model to obtain σ − θ relationship. In particular, artificial neural network allowed for more accurate estimation of the temporal wetting front than the petrophysical model. The proposed methodology thus offers a great promise for deriving spatiotemporal soil moisture patterns from geophysical data and obtaining the in situ σ − θ relationship, taking into account the non-linear variations of the soil moisture. Y1 - 2019 U6 - https://doi.org/10.1002/nsg.12036 SN - 1569-4445 VL - 17 IS - 2 SP - 181 EP - 195 ER - TY - GEN A1 - Badorreck, Annika T1 - 15 years ecohydrological long-term monitoring of the artificial catchment Chicken Creek – A brief summary T2 - CATENA N2 - Ecosystems exhibit a highly complex nature and have been dynamically changing by linked abiotic and biotic factors such as climate, vegetation and soil fauna. Owning to the actions and feedbacks of these factors, ecosystems show an inherent degree of locally heterogeneous properties and structures at multiple spatial and time scales. Here, the artificial catchment “Chicken Creek” represents a unique and outstanding site to study an ecosystem at the initial stage of development. The hydrologic catchment is located about 20 km south of the city Cottbus (Germany). The approximately 6-ha catchment area was built in 2005 of coarse-textured quaternary sediments from the adjacent brown coal mine and forms a back- and foot-slope that flattens out to a pond. A clay liner of 2–3 m thickness seals the catchment at the bottom, which allows the formation of a local water body fed only by precipitation. After construction the site was left to an unrestricted and unmanaged succession. To track the several ecosystem processes and newly emerging structures the Chicken Creek catchment is equipped with a comprehensive ecological monitoring network. A network of more than 40 wells and two weirs recording the groundwater levels, flows of water and elements. Three weather stations observing meteorological parameters. Annual aerial pictures and vegetation monitoring revealing the floral colonisation of the area. This contribution describes the diverse and extensive working program as well as presents highlights of 15 years ecological monitoring in the catchment area. Y1 - 2025 U6 - https://doi.org/10.1016/j.catena.2024.108663 SN - 0341-8162 VL - 249 IS - Februar 2025 PB - Elsevier BV ER - TY - CHAP A1 - Gerke, Horst H. A1 - Grünewald, Uwe A1 - Biemelt, Detlef A1 - Badorreck, Annika A1 - Bartl, Steffen ED - Hüttl, Reinhard F. ED - Kögel-Knabner, Ingrid ED - Schulin, Rainer ED - Gerwin, Werner T1 - Project A4 – Development and interactions of flow paths on the surface and in the soil T2 - Structures and processes of the initial ecosystem development phase in an artificial water catchment (Final report CRC/TR 38) Y1 - 2013 SP - 37 EP - 44 PB - BTU, Forschungszentrum Landschaftsentwicklung und Bergbaulandschaften (FZLB) CY - Cottbus ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. A1 - Vontobel, Peter T1 - Neutronenradiographische Untersuchungen der kleinräumig heterogenen Wasserbewegung in kohlehaltigen Böden T2 - Böden - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft Y1 - 2009 UR - http://eprints.dbges.de/318/1/Badorreck.pdf PB - Deutsche Bodenkundliche Gesellschaft (Selbstverlag) CY - Bonn ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. A1 - Weller, Ulrich A1 - Vontobel, Peter T1 - Soil sealing and vesicular layer formation as initial structure development and its effect on infiltration T2 - EGU General Assembly 2009, Vienna, Austria, 19 – 24 April 2009 Y1 - 2009 N1 - EGU2009-12198 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. A1 - Vontobel, Peter T1 - Unsaturated flow patterns observed in mine soils with embedded porous fragments using neutron radiography T2 - EGU General Assembly 2009, Vienna, Austria, 19 – 24 April 2009 Y1 - 2009 N1 - EGU2009-12218 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. ED - Novák, Martin ED - Krám, Pavel ED - Stepánová, Markéta T1 - Initial soil and ecosystem development in an artificial catchment: Visualization of soil structure and water flow T2 - 9th International Symposium on Ecosystem Behavior BIOGEOMON, Litomysl, Czech Republic, August 20-24, 2017 N2 - An artificial catchment was constructed to study initial soil and ecosystem development. Our research site is the hydrologic catchment area “Chicken Creek”, 20 km south of the city Cottbus (Germany), which is left to undirected succession. The approximately 6-ha catchment area was built in 2005 of coarse-textured quaternary sediments and forms a back- and foot-slope that flattens out to a pond. A clay liner, 2-3 m in thickness, seals the catchment at the bottom. The initial “soil” layer consists of sandy quaternary sediments, approximately 2–3 m in thickness, that overlay the clay liner. The sediments of the artificial system are in the very initial stage of soil formation. As a key process, the pore structure dynamics in the soil at the surface strongly influences erosion, infiltration, matter dynamics, and vegetation establishment. Little is known, however, about early macropore formation. This presentation focuses on observations of the general development of the catchment, with emphasis on soil structure modifications, such as soil surface crusts, structure formation from ground beetles, moss vegetation and its effect on water flow. We visualized the soil structure and flow patterns using a combination of neutron radiography, neutron tomography (NT) and X-ray computed tomography (CT) experiments. All techniques were used to describe preferential pathways as a soil structure with CT and the process of preferential flow of water with NT. For the first time, neutron radiation was applied on undisturbed soil cores to visualize water distributions in natural soils on three examples containing heterogeneities of different origin. Our observations demonstrate relatively high abiotic and biotic dynamics of soil pore structure in the soil surface even during the very early development stages of the catchment. The structure formation influences runoff and infiltration by forming sealing layers or preferential flow paths, due to biotic activity. Y1 - 2017 UR - http://www.biogeomon.cz/documents/Abstracts.pdf SP - S. 355 PB - Czech Geological Survey CY - Prague ER - TY - CHAP A1 - Badorreck, Annika A1 - Krümmelbein, Julia A1 - Raab, Thomas T1 - Long-term effects of deep soil loosening on root distribution and soil physical parameters in compacted lignite mine soils T2 - European Geosciences Union, General Assembly 2015, Vienna, Austria, 13 April - 17 May 2015 KW - deep soil loosening KW - lignite mine Y1 - 2015 UR - http://meetingorganizer.copernicus.org/EGU2015/EGU2015-14990.pdf N1 - EGU2015-14990 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Biemelt, Detlef A1 - Bartl, Steffen A1 - Gerke, Horst H. A1 - Badorreck, Annika A1 - Schapp, Andrea T1 - Analyse von Wechselwirkungen zwischen Infiltration und Abfluss in Abhängigkeit von Oberflächenstrukturen mit einem komplexen Beregnungsexperiment T2 - Böden - eine endliche Ressource, 5. - 13. September 2009, Bonn, Jahrestagung der Deutschen Bodenkundlichen Gesellschaft Y1 - 2009 UR - http://eprints.dbges.de/212/1/Biemelt_etal_DBG_Berichte.pdf PB - Deutsche Bodenkundliche Gesellschaft (Selbstverlag) CY - Bonn ER - TY - GEN A1 - Moghadas, Davood A1 - Badorreck, Annika T1 - Soil Moisture Patterns in an artificial water catchment – A machine learning approach from geophysical measurements T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-2652 ER - TY - GEN A1 - Moghadas, Davood A1 - Badorreck, Annika T1 - Characterization of soil electrical conductivity from Chicken Creek Catchment using deep learning inversion of geophysical data T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-2664 ER - TY - THES A1 - Badorreck, Annika T1 - Multidimensional visualization of preferential flow pathways using neutron and x-ray radiation Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-41615 ER - TY - CHAP A1 - Schaaf, Wolfgang A1 - Pohle, Ina A1 - Maurer, Thomas A1 - Gerwin, Werner A1 - Hinz, Christoph A1 - Badorreck, Annika T1 - Water balance dynamics of the constructed Chicken Creek catchment as influenced by 12 years of ecological development T2 - European Geosciences Union, General Assembly 2018, Vienna, Austria N2 - Experimental catchments with well-known boundaries and characteristics may contribute valuable data to hydrological, critical zone and landscape evolution research. One of the most well-established and largest constructed catchments is the Chicken Creek catchment (6 ha area including a 0.4 ha pond, Brandenburg, Germany) representing an initial ecosystem undergoing a highly dynamic ecological development starting from clearly defined starting conditions. The water balance dynamics of the catchment was calculated using a simple mass balance approach to reveal the impact of ecological development during 12 years. Water storage in the catchment was calculated from a 3D-model of groundwater volumes, soil moisture measurements and water level recordings of the pond. The catchment water balance equation was resolved for evapotranspiration, the only part that was not measured directly. Due to the known boundary conditions and the inner structure of the catchment, we were able to quantify the different storage compartments and their role in hydrologic response. Our results indicate that for small catchments with a highly dynamic ecological development like the Chicken Creek, the knowledge about saturated and unsaturated storage volumes enables a good estimate and closure of the water balance using a rather simple approach, at least in annual resolution. We found a significant relationship between vegetation cover in the catchment and calculated ET. Time series of meteorological, hydrological, soil and vegetation data over 12 years enabled us to characterize the transient development of the catchment and to evaluate the effect of different feedback mechanisms on catchment hydrology. The dataset from the Chicken Creek catchment indicate at least three phases in ecosystem development, where initial abiotic feedbacks (e.g. erosion) were followed by more and more biotic controls (e.g. biological soil crusts, vegetation succession and growth). Data from Chicken Creek in high spatial and temporal resolution provide a valuable database underlining the high importance of abiotic/biotic feedback effects that change the hydrologic functioning and response of the catchment more than the water balance itself revealed and thus have to be included in catchment models. Y1 - 2018 UR - https://meetingorganizer.copernicus.org/EGU2018/EGU2018-11977.pdf N1 - EGU2018-11977 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - GEN A1 - Schaaf, Wolfgang A1 - Pohle, Ina A1 - Maurer, Thomas A1 - Gerwin, Werner A1 - Hinz, Christoph A1 - Badorreck, Annika T1 - Water Balance Dynamics during Ten Years of Ecological Development at Chicken Creek Catchment T2 - Vadose Zone Journal N2 - Difficulties in quantitatively closing the water balance of catchments arise when upscaling point measurements and from insufficient knowledge of the physical boundaries, inner structure, and storage volumes of natural catchments. In addition, there is a strong need for generalizing the relationship between catchment characteristics and hydrological response. Therefore, experimental catchments with well-known boundaries and conditions could contribute valuable data to hydrological and critical zone research. One of the most well-established and largest constructed catchments is the Chicken Creek catchment (6 ha including a pond, Brandenburg, Germany) representing an initial ecosystem undergoing highly dynamic ecological development starting from clearly defined starting conditions. Directly after completion of the construction, extensive monitoring equipment was installed to track the ecosystem development and to capture the spatiotemporal variability of meteorological, hydrological, ecological, and soil conditions and vegetation succession. In this study, we focused on the water balance dynamics of the Chicken Creek catchment for the period 2005 to 2015 as influenced by ecological development. Water storage in the catchment was calculated from a three-dimensional model of groundwater volumes, soil moisture measurements, and water level recordings of the pond. The catchment water balance equation was resolved for evapotranspiration, the only part that was not measured directly. Time series of meteorological, hydrological, and ecological data for 10 yr enabled us to characterize the transient development of the catchment and to evaluate the effect of different feedback mechanisms on catchment hydrology. Y1 - 2017 U6 - https://doi.org/10.2136/vzj2017.04.0074 SN - 1539-1663 VL - 16 IS - 11 ER - TY - GEN A1 - Gerwin, Werner A1 - Badorreck, Annika A1 - Schaaf, Wolfgang A1 - Hinz, Christoph A1 - Hüttl, Reinhard F. T1 - Das Hühnerwasser-Einzugsgebiet in SO-Brandenburg im Übergang von einem abiotischen zu einem biotisch kontrollierten Wasserhaushalt T2 - Hydrologie und Wasserbewirtschaftung N2 - Das Hühnerwasser-Einzugsgebiet ist ein 6 ha großes, künstlich geschaffenes Wassereinzugsgebiet im Tagebau Welzow-Süd in Südost-Brandenburg. Das Zweischichtsystem mit einer Ton- und einer darüber liegenden Sandschicht wurde im Jahr 2005 fertiggestellt und ohne weitere Rekultivierungsmaßnahmen für Forschungszwecke bereitgestellt. Es lässt exemplarisch die Untersuchung der initialen Landschaftsgenese zu. Insbesondere die Entwicklung von einem zunächst noch abiotisch kontrollierten hin zu einem biotisch gesteuerten System lässt sich hier beobachten. In diesem Beitrag werden beispielhaft einige in diesem Kontext aufgetretene Interaktionen zwischen abiotischen und biotischen Strukturelementen vorgestellt. Dies sind zum einen Erosions- und Sedimentationsprozesse und ihre Wechselwirkungen mit der Vegetation. Zum anderen wird der Einfluss der Vegetation auf die Grundwasserentwicklung dargestellt. Y1 - 2018 U6 - https://doi.org/10.5675/HyWa_2018,3_1 SN - 0012-0235 SN - 1439-1783 VL - 62 IS - 3 SP - 134 EP - 144 ER - TY - CHAP A1 - Gerke, Horst H. A1 - Maurer, Thomas A1 - Klauke, A. A1 - Dominik, R. A1 - Dimitrov, M. A1 - Biemelt, Detlef A1 - Badorreck, Annika T1 - Modelling the initial 3D sediment structure of an artificially constructed hydrological catchment T2 - EGU General Assembly 2008, Wien Y1 - 2008 N1 - EGU2008-A-08558 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Schaaf, Wolfgang A1 - Gerwin, Werner A1 - Badorreck, Annika ED - Novák, Martin ED - Krám, Pavel ED - Stepánová, Markéta T1 - Twelve years of monitoring the ecological development of a constructed catchment T2 - 9th International Symposium on Ecosystem Behavior BIOGEOMON, Litomysl, Czech Republic, August 20-24, 2017 N2 - Landscapes and ecosystems are complex systems with many feedback mechanisms acting between the various abiotic and biotic components. The knowledge about these interacting processes is mainly derived from mature ecosystems. The initial development of ecosystem complexity may involve state transitions following catastrophic shifts, disturbances or transgression of thresholds. The Chicken Creek catchment was constructed in 2005 to study ecosystem development of an initial ecosystem at the landscape scale. The world´s largest constructed catchment has a hillslope-shaped 6 ha size with defined boundary conditions and well-documented inner structures1. For 12 years, we have been monitoring the development of different system compartments2,3. The fast formation of patterns and increasing heterogeneity were challenges for the monitoring program. Starting with a regular 20 × 20 m grid in the initially homogeneous system, monitoring installations were continuously complemented by more pattern and patch oriented measurements in order to catch up with both the spatial and temporal dynamics of the catchment. The monitoring program includes both high-resolution temporal recordings (e.g., groundwater levels, discharge, meteorological data, soil moisture), spatial sampling campaigns (e.g., soil properties) and annual vegetation surveys. In addition, we use drone images to document the site development. The presentation describes the monitoring approach and adaptation with examples from vegetation, soil and hydrological data at different spatial and temporal scales. From the monitoring data we were able to derive different phases during initial development that are characterized by abiotic/biotic feedback mechanisms controlling catchment functioning. Detailed monitoring of the Chicken Creek catchment with known boundary conditions and structure information could help in disentangling general feedback mechanisms between hydrologic, pedogenic, biological and geomorphological processes as well as in gaining a more integrative view of succession and its drivers during the transition from initial, less complex systems to more mature ecosystems. Long-term time series of data are the key for a better understanding of these processes and the effects on ecosystem self-organization and resilience. Y1 - 2017 UR - http://www.biogeomon.cz/documents/Abstracts.pdf SP - 42 EP - 43 PB - Czech Geological Survey CY - Prague ER - TY - GEN A1 - Badorreck, Annika A1 - Gerke, Horst H. A1 - Hüttl, Reinhard F. T1 - Effects of Ground-Dwelling Beetle Burrows on Infiltration Patterns and Pore Structure of Initial Soil Surfaces T2 - Vadose Zone Journal Y1 - 2012 SN - 1539-1663 VL - 11 IS - 1 ER - TY - CHAP A1 - Badorreck, Annika A1 - Gerke, Horst H. T1 - Visualization of soil structure modifications and infiltration patterns by ground-dwelling beetle larvae and moss vegetation T2 - European Geosciences Union, General Assembly 2011, Vienna, Austria Y1 - 2011 UR - http://meetingorganizer.copernicus.org/EGU2011/EGU2011-4625.pdf N1 - EGU2011-4625 CY - Katlenburg-Lindau ER -