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000892636 005__ 20211209142054.0
000892636 0247_ $$2doi$$a10.5194/ismc2021-45
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000892636 037__ $$aFZJ-2021-02225
000892636 041__ $$aEnglish
000892636 1001_ $$0P:(DE-Juel1)158034$$aGroh, Jannis$$b0$$eCorresponding author
000892636 1112_ $$a3rd ISMC Conference - Advances in Modeling Soil Systems$$cvirtual$$d2021-05-18 - 2021-05-22$$wGermany
000892636 245__ $$aSame soil - different climate: crop model inter-comparison with lysimeter data of translocated monoliths
000892636 260__ $$c2021
000892636 3367_ $$033$$2EndNote$$aConference Paper
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000892636 520__ $$aCrop model comparisons have mostly been carried out to test predictive ability under previous climate conditions and for soils of the same location. However, the ability of individual agricultural models to predict the effects of changes in climatic conditions on soil-ecosystems beyond the range of site-specific variability is unknown. The objective of this study was to test the predictive ability of agroecosystem models using weighable lysimeter data for the same soil under changing climatic conditions and to compare simulated plant growth and soil-ecosystem response to climate change between these models. To achieve this, data from the TERENO-SOILCan lysimeters-network for a soil-ecosystem at the original site (Dedelow) and data from the lysimeters with Dedelow soil monoliths transferred to Bad Lauchstädt and Selhausen were analysed. The transfer of the soils took place to a drier and warmer location (Bad Lauchstädt) and to a warmer and wetter location (Selhausen) compared to the original location of the soils in Dedelow with the same crop rotation. After model calibration for data from the original Dedelow site, crop growth and soil water balances of transferred Dedelow soil monoliths were predicted using the site-specific boundary conditions and compared with the observations at Selhausen and Bad Lauchstädt. The overall simulation output of the models was separated into a plant-related part, ecosystem-productivity (grain yield, biomass, LAI) and an environmental part, ecosystem-fluxes (evapotranspiration, net-drainage, soil moisture). The results showed that when the soil was transferred to a drier region, the agronomic part of the crop models predicted well, and when the soil was moved to wetter regions, the environmental flow part of the models seemed to predict better. The results suggest that accounting for climate change scenarios, more consideration of soil properties and testing model performance for conditions outside the calibrated range and site-specific variability will help improve the models.
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000892636 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x1
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000892636 7001_ $$0P:(DE-HGF)0$$aDiamantopoulos, Efstathios$$b1
000892636 7001_ $$0P:(DE-HGF)0$$aDuan, Xiaohong$$b2
000892636 7001_ $$0P:(DE-HGF)0$$aEwert, Frank$$b3
000892636 7001_ $$0P:(DE-HGF)0$$aHeinlein, Florian$$b4
000892636 7001_ $$0P:(DE-Juel1)129469$$aHerbst, Michael$$b5$$ufzj
000892636 7001_ $$0P:(DE-HGF)0$$aHolbak, Maja$$b6
000892636 7001_ $$0P:(DE-HGF)0$$aKamali, Bahareh$$b7
000892636 7001_ $$0P:(DE-HGF)0$$aKersebaum, Kurt-Christian$$b8
000892636 7001_ $$0P:(DE-HGF)0$$aKuhnert, Matthias$$b9
000892636 7001_ $$0P:(DE-HGF)0$$aNendel, Claas$$b10
000892636 7001_ $$0P:(DE-HGF)0$$aPriesack, Eckart$$b11
000892636 7001_ $$0P:(DE-HGF)0$$aSteidl, Jörg$$b12
000892636 7001_ $$0P:(DE-HGF)0$$aSommer, Michael$$b13
000892636 7001_ $$0P:(DE-Juel1)129523$$aPütz, Thomas$$b14$$ufzj
000892636 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b15$$ufzj
000892636 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b16$$ufzj
000892636 7001_ $$0P:(DE-HGF)0$$aWallor, Evelyn$$b17
000892636 7001_ $$0P:(DE-HGF)0$$aWeber, Tobias K. D.$$b18
000892636 7001_ $$0P:(DE-HGF)0$$aWegehenkel, Martin$$b19
000892636 7001_ $$0P:(DE-Juel1)129553$$aWeihermüller, Lutz$$b20$$ufzj
000892636 7001_ $$0P:(DE-HGF)0$$aGerke, Horst H.$$b21
000892636 773__ $$a10.5194/ismc2021-45
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