The response of process-based agro-ecosystem models to within-field variability in site conditions

Wallor, Evelyn; Kersebaum, Kurt Christian; Ventrella, Domenico; Bindi, Marco; Cammarano, Davide; Coucheney, Elsa; Gaiser, Thomas; Garofalo, Pasquale; Giglio, Luisa; Giola, Pietro; Hoffmann, Munir P.; Iocola, Ileana; Lana, Marcos; Lewan, Elisabet; Maharjan, Ganga Ram; Moriondo, Marco; Mula, Laura; Nendel, Claas; Pohanková, Eva; Roggero, Pier Paolo; Trnka, Miroslav; Trombi, Giacomo

doi:10.1016/j.fcr.2018.08.021

Cited by 31 publications

(17 citation statements)

References 48 publications

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“…The climatic conditions of the central sites from 1 January 2012 to 31 December 2017 (complete years) are shown in Fig. 1 according to Walter and Lieth (1967). Although the patterns in average monthly temperature values are relatively similar at both sites (Fig.…”

Section: Site Descriptionsmentioning

confidence: 99%

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Groh

Vanderborght²,

Pütz³

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. Future crop production will be affected by climatic changes. In several regions, the projected changes in total rainfall and seasonal rainfall patterns will lead to lower soil water storage (SWS), which in turn affects crop water uptake, crop yield, water use efficiency (WUE), grain quality and groundwater recharge. Effects of climate change on those variables depend on the soil properties and were often estimated based on model simulations. The objective of this study was to investigate the response of key variables in four different soils and for two different climates in Germany with a different aridity index (AI): 1.09 for the wetter (range: 0.82 to 1.29) and 1.57 for the drier (range: 1.19 to 1.77) climate. This is done by using high-precision weighable lysimeters. According to a “space-for-time” (SFT) concept, intact soil monoliths that were moved to sites with contrasting climatic conditions have been monitored from April 2011 until December 2017. Evapotranspiration (ET) was lower for the same soil under the relatively drier climate, whereas crop yield was significantly higher, without affecting grain quality. Especially “non-productive” water losses (evapotranspiration out of the main growing period) were lower, which led to a more efficient crop water use in the drier climate. A characteristic decrease of the SWS for soils with a finer texture was observed after a longer drought period under a drier climate. The reduced SWS after the drought remained until the end of the observation period which demonstrates carry-over of drought from one growing season to another and the overall long-term effects of single drought events. In the relatively drier climate, water flow at the soil profile bottom showed a small net upward flux over the entire monitoring period as compared to downward fluxes (groundwater recharge) or drainage in the relatively wetter climate and larger recharge rates in the coarser- as compared to finer-textured soils. The large variability of recharge from year to year and the long-lasting effects of drought periods on the SWS imply that long-term monitoring of soil water balance components is necessary to obtain representative estimates. Results confirmed a more efficient crop water use under less-plant-available soil moisture conditions. Long-term effects of changing climatic conditions on the SWS and ecosystem productivity should be considered when trying to develop adaptation strategies in the agricultural sector.

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Section: Site Descriptionsmentioning

confidence: 99%

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Groh

Vanderborght²,

Pütz³

et al. 2020

Hydrol. Earth Syst. Sci.

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“…Several factors affecting this variability makes the spatial−temporal management of N challenging [9]. In a given field, the optimal amount of fertilizer should consider site-specific soil properties, current seasonal crop growing conditions, and their interactions [7,11]. While the spatial variability of crop growth and yield can be quantified routinely with different tools (e.g., remote sensing or proximal sensing), the temporal variability has not received the right amount of attention [12].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variability of Spring Barley Yield and Quality Quantified by Crop Simulation Model

2020

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Nitrogen fertilization is the most critical agronomic input affecting barley production and farm profitability. The strict quality requirements for malting barley are challenging to achieve for farmers. In addition, soil variability and weather conditions can affect barley yield and quality. Thus, the objectives of this study are to (a) quantify the variability of soil properties, and (b) use spatial data in a crop simulation model, quantifying the impacts of climate−soil interactions on the barley crop yield and grain quality. Based on historical yield maps, a commercial field was divided into different yield stability zone levels. The Decision Support System for Agrotechnology Transfer model was used to evaluate soil and crop spatial data. The bulk density affected the soil water content and soil mineral N and hence the crop-growing conditions in each yield stability zone. Our observed and simulated results showed that 120 kg N ha−1 is the optimal rate to increase grain yield while still keeping within the grain N% requirements for malting quality. This study shows the great value of integrating crop modeling with on−farm experimental data for improving understanding of the factors which affect site−specific N fertilization of barley.

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“…For winter canola this might be related to a higher loss of rapeseeds during manual harvesting, natural pod shattering, cleaning and threshing (Alizadeh et al, 2007;Kuai et al, 2015). The CV value of the observed yield variability between each soil type corresponds to values reported between 5 to 27 % by Joernsgaard and Halmoe (2003) and Wallor et al (2018). The yield of winter wheat (7.8 t ha -1 see appendix Table A3) for the soil from BL at BL agreed well with observations on yields from a long term fertilization experiment at the BL site (Merbach and Schulz, 2013), which demonstrates the high yield potential of the soil from BL.…”

Section: Crop Yield and Water Use Efficiencymentioning

confidence: 99%

“…The climatic conditions of the central sites from 1 January 2012 to 31 December 2017 (complete years) are shown in Fig. 1 according to Walter and Lieth (1967).…”

Section: Site Descriptionsmentioning

confidence: 99%

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Responses of soil water storage and crop water use efficiency to changing climatic conditions: A lysimeter-based space-for-time approach

Groh¹,

Vanderborght²,

Pütz³

et al. 2019

Preprint

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Abstract. Future crop production will be affected by climatic changes. In several regions, the projected changes in total rainfall and seasonal rainfall patterns will lead to lower soil water storage (SWS) which in turn affects crop water uptake, crop yield, water use efficiency, grain quality and groundwater recharge. Effects of climate change on those variables depend on the soil properties and were often estimated based on model simulations. The objective of this study was to investigate the response of key variables in four different soils and for two different climates in Germany with different aridity index: 1.09 for the wetter (range: 0.82 to 1.29) and 1.57 for the drier climate (range: 1.19 to 1.77), by using high-precision weighable lysimeters. According to a “space-for-time” concept, intact soil monoliths that were moved to sites with contrasting climatic conditions have been monitored from April 2011 until December 2018. Evapotranspiration was lower for the same soil under the relatively drier climate whereas crop yield was significantly higher, without affecting grain quality. Especially non-productive water losses (evapotranspiration out of the main growing period) were lower which led to a more efficient crop water use in the drier climate. A characteristic decrease of the SWS for soils with a finer texture was observed after a longer drought period under a drier climate. The reduced SWS after the drought remained until the end of the observation period which demonstrates carry-over of drought from one growing season to another and the overall long term effects of single drought events. In the relatively drier climate, water flow at the soil profile bottom showed a small net upward flux over the entire monitoring period as compared to downward fluxes (ground water recharge) or drainage in the relatively wetter climate and larger recharge rates in the coarser- as compared to finer-textured soils. The large variability of recharge from year to year and the long lasting effects of drought periods on SWS imply that long term monitoring of soil water balance components is necessary to obtain representative estimates. Results confirmed a more efficient crop water use under less optimal soil moisture conditions. Long-term effects of changing climatic conditions on the SWS and ecosystem productivity should be considered when trying to develop adaptation strategies in the agricultural sector.

show abstract

The response of process-based agro-ecosystem models to within-field variability in site conditions

Cited by 31 publications

References 48 publications

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Spatial and Temporal Variability of Spring Barley Yield and Quality Quantified by Crop Simulation Model

Responses of soil water storage and crop water use efficiency to changing climatic conditions: A lysimeter-based space-for-time approach

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