TY - THES A1 - Kersebaum, Kurt-Christian T1 - Modellierung der Stickstoffdynamik in Agrarökosystemen : ein Instrument zur Beratung und Beurteilung von Nutzungs- und Bewirtschaftungseffekten für Land- und Wasserwirtschaft Y1 - 2004 CY - Potsdam ER - TY - JOUR A1 - Werner, Andrea A1 - Werner, Andreas A1 - Wieland, Ralf A1 - Kersebaum, Kurt-Christian A1 - Mirschel, Wilfried A1 - Ende, Hans-Peter A1 - Wiggering, Hubert T1 - Ex ante assessment of crop rotations focusing on energy crops using a multi-attribute decision-making method JF - Ecological indicators : integrating monitoring, assessment and management N2 - The cultivation of plants for use as energy resources is an agricultural and industrial sector with potentially synergistic benefits related to protecting the environment and generating income. Against the background of increasing land-use changes and new agricultural approaches to the production of energy crops, we present a method for identifying future-oriented crop rotations that supports both the economic and environmental components of decision-making strategies with respect to agriculture-related policy decisions (regional mission statements). The conflicting aspects of these objectives can be addressed with the analytic hierarchy process (AHP), a multi-attribute decision-making method that was integrated here. Three models are used to generate simulations of the defined objectives over a planning period of 30 years under the current climate scenario and provide input data for the multi-attribute assessment of several crop rotations. Based on the entire evaluation process, dimensionless global priority vectors are used to indicate how well the crop rotations meet the requirements of the defined mission statement. The method is tested in a municipality in NE Germany. (C) 2014 Elsevier Ltd. All rights reserved. KW - Agricultural management KW - Ex ante assessment KW - Multi-attribute decision-making KW - AHP KW - Crop rotation KW - Energy crops KW - Regional objectives KW - Indicators Y1 - 2014 U6 - https://doi.org/10.1016/j.ecolind.2014.03.013 SN - 1470-160X SN - 1872-7034 VL - 45 SP - 110 EP - 122 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schmidt, Martin A1 - Jochheim, Hubert A1 - Kersebaum, Kurt-Christian A1 - Lischeid, Gunnar A1 - Nendel, Claas T1 - Gradients of microclimate, carbon and nitrogen in transition zones of fragmented landscapes - a review JF - Agricultural and forest meteorology N2 - Fragmentation of landscapes creates a transition zone in between natural habitats or different kinds of land use. In forested and agricultural landscapes with transition zones, microclimate and matter cycling are markedly altered. This probably accelerates and is intensified by global warming. However, there is no consensus on defining transition zones and quantifying relevant variables for microclimate and matter cycling across disciplines. This article is an attempt to a) revise definitions and offer a framework for quantitative ecologists, b) review the literature on microclimate and matter cycling in transition zones and c) summarise this information using meta-analysis to better understand bio-geochemical and bio-geophysical processes and their spatial extent in transition zones. We expect altered conditions in soils of transition zones to be 10-20 m with a maximum of 50 m, and 25-50 m for above-ground space with a maximum of 125 m. KW - Edge effects KW - Ecological boundaries KW - Matter cycling KW - Matter dynamics KW - Framework quantitative ecology KW - Ecotone hierarchy Y1 - 2016 U6 - https://doi.org/10.1016/j.agrformet.2016.10.022 SN - 0168-1923 SN - 1873-2240 VL - 232 SP - 659 EP - 671 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Groh, Jannis A1 - Diamantopoulos, Efstathios A1 - Duan, Xiaohong A1 - Ewert, Frank A1 - Heinlein, Florian A1 - Herbst, Michael A1 - Holbak, Maja A1 - Kamali, Bahareh A1 - Kersebaum, Kurt-Christian A1 - Kuhnert, Matthias A1 - Nendel, Claas A1 - Priesack, Eckart A1 - Steidl, Jörg A1 - Sommer, Michael A1 - Pütz, Thomas A1 - Vanderborght, Jan A1 - Vereecken, Harry A1 - Wallor, Evelyn A1 - Weber, Tobias K. D. A1 - Wegehenkel, Martin A1 - Weihermüller, Lutz A1 - Gerke, Horst H. T1 - Same soil, different climate: Crop model intercomparison on translocated lysimeters JF - Vadose zone journal N2 - Crop 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 Lauchstadt (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. Y1 - 2022 U6 - https://doi.org/10.1002/vzj2.20202 SN - 1539-1663 VL - 21 IS - 4 PB - Wiley CY - Hoboken ER -