Sommer, Michael

[["dc.bibliographiccitation.firstpage","3077"],["dc.bibliographiccitation.journal","Land Degradation & Development"],["dc.bibliographiccitation.lastpage","3091"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Öttl, Lena Katharina"],["dc.contributor.author","Wilken, Florian"],["dc.contributor.author","Auerswald, Karl"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Wehrhan, Marc"],["dc.contributor.author","Fiener, Peter"],["dc.date.accessioned","2021-12-15T08:16:49Z"],["dc.date.available","2021-12-15T08:16:49Z"],["dc.date.issued","2021-05-07"],["dc.date.updated","2021-12-15T07:33:10Z"],["dc.description.abstract","Tillage erosion causes substantial soil redistribution that can exceed water erosion especially in hummocky landscapes under highly mechanized large field agriculture. Consequently, truncated soil profiles can be found on hill shoulders and top slopes, whereas colluvial material is accumulated at footslopes, in depressions, and along downslope field borders. We tested the hypothesis that soil erosion substantially affects in‐field patterns of the enhanced vegetation index (EVI) of different crop types on landscape scale. The interrelation between the EVI (RAPIDEYE satellite data; 5 m spatial resolution) as a proxy for crop biomass and modeled total soil erosion (tillage and water erosion modeled using SPEROS‐C) was analyzed for the Quillow catchment (size: 196 km2) in Northeast Germany in a wet versus normal year for four crop types (winter wheat, maize, winter rapeseed, winter barley). Our findings clearly indicate that eroded areas had the lowest EVI values, while the highest EVI values were found in depositional areas. The differences in the EVI between erosional and depositional sites are more pronounced in the analyzed normal year. The net effect of total erosion on the EVI compared to areas without pronounced erosion or deposition ranged from −10.2% for maize in the normal year to +3.7% for winter barley in the wet year. Tillage erosion has been identified as an important driver of soil degradation affecting in‐field crop biomass patterns in a hummocky ground moraine landscape. While soil erosion estimates are to be made, more attention should be given toward tillage erosion."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9598"],["dc.identifier.uri","http://dx.doi.org/10.23689/fidgeo-5252"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/96830"],["dc.language.iso","en"],["dc.title","Tillage erosion as an important driver of in‐field biomass patterns in an intensively used hummocky landscape"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Vadose Zone Journal"],["dc.bibliographiccitation.volume","21"],["dc.contributor.affiliation","Diamantopoulos, Efstathios; 4\r\nDep. of Plant and Environmental Science\r\nUniv. of Copenhagen\r\nCopenhagen Denmark"],["dc.contributor.affiliation","Duan, Xiaohong; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Ewert, Frank; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Heinlein, Florian; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Herbst, Michael; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Holbak, Maja; 4\r\nDep. of Plant and Environmental Science\r\nUniv. of Copenhagen\r\nCopenhagen Denmark"],["dc.contributor.affiliation","Kamali, Bahareh; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Kersebaum, Kurt‐Christian; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Kuhnert, Matthias; 8\r\nInstitute of Biological and Environmental Science\r\nUniv. of Aberdeen\r\nAberdeen UK"],["dc.contributor.affiliation","Nendel, Claas; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Priesack, Eckart; 5\r\nHelmholtz Zentrum München‐German Research Center for Environmental Health\r\nNeuherberg Germany"],["dc.contributor.affiliation","Steidl, Jörg; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Sommer, Michael; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Pütz, Thomas; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Vanderborght, Jan; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Vereecken, Harry; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Wallor, Evelyn; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Weber, Tobias K. D.; 10\r\nInstitute of Soil Science and Land Evaluation\r\nUniv. of Hohenheim\r\nStuttgart Germany"],["dc.contributor.affiliation","Wegehenkel, Martin; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.affiliation","Weihermüller, Lutz; 2\r\nForschungszentrum Jülich GmbH, Agrosphere\r\nInstitute of Bio‐ and Geoscience IBG‐3\r\nJülich Germany"],["dc.contributor.affiliation","Gerke, Horst H.; 1\r\nLeibniz Centre for Agricultural Landscape Research (ZALF)\r\nMüncheberg Germany"],["dc.contributor.author","Groh, Jannis"],["dc.contributor.author","Diamantopoulos, Efstathios"],["dc.contributor.author","Duan, Xiaohong"],["dc.contributor.author","Ewert, Frank"],["dc.contributor.author","Heinlein, Florian"],["dc.contributor.author","Herbst, Michael"],["dc.contributor.author","Holbak, Maja"],["dc.contributor.author","Kamali, Bahareh"],["dc.contributor.author","Kersebaum, Kurt‐Christian"],["dc.contributor.author","Kuhnert, Matthias"],["dc.contributor.author","Gerke, Horst H."],["dc.contributor.author","Nendel, Claas"],["dc.contributor.author","Priesack, Eckart"],["dc.contributor.author","Steidl, Jörg"],["dc.contributor.author","Sommer, Michael"],["dc.contributor.author","Pütz, Thomas"],["dc.contributor.author","Vanderborght, Jan"],["dc.contributor.author","Vereecken, Harry"],["dc.contributor.author","Wallor, Evelyn"],["dc.contributor.author","Weber, Tobias K. D."],["dc.contributor.author","Wegehenkel, Martin"],["dc.contributor.author","Weihermüller, Lutz"],["dc.date.accessioned","2022-06-01T09:39:09Z"],["dc.date.available","2022-06-01T09:39:09Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-11T13:13:58Z"],["dc.description.abstract","Abstract\r\nCrop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux‐related performance of a set of crop models. The aim was to predict weighing lysimeter‐based crop (i.e., agronomic) and water‐related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014–2018) were from the Dedelow (Dd), Bad Lauchstädt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop‐ and soil‐related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi‐model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site‐specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil‐related data (i.e., water fluxes and system states) when simulating soil–crop–climate interrelations in changing climatic conditions."],["dc.description.abstract","Core Ideas\r\n\r\nWe demonstrate the use of high precision weighable lysimeter for full model calibration and validation.\r\nLysimeter data from translocated soils represent effects of changing climatic conditions.\r\nWe compare calibration with blind forward simulations (fixed soil and calibrated crop parameter).\r\nWe compare individual crop model predictions with multi‐model mean.\r\nWe test the predictive ability of crop models and multi‐model mean."],["dc.identifier.doi","10.1002/vzj2.20202"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108400"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","1539-1663"],["dc.relation.issn","1539-1663"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.title","Same soil, different climate: Crop model intercomparison on translocated lysimeters"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]