Modelling and Simulation of Agricultural Landscapes

Mirschel, Wilfried; Berg-Mohnicke, Michael; Wieland, Ralf; Wenkel, Karl‐Otto; Terleev, Vitaly; Topaj, Alex; Mueller, Lothar

doi:10.1007/978-3-030-37421-1_1

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…1) Irrigation treatment: called irrigated , in which the plots were irrigated with 20 mm water at different intervals using a unique irrigation system simulating rainfall ( Supplementary Figure S1 ). The amount of irrigated water was determined by the WEB-BEREST model that calculates the irrigation water based on the crop demand using the coefficient of actual to potential evapotranspiration ( Mirschel et al., 2020 ). The adopted irrigation strategy resulted in an amount of irrigated water of 280 mm (14 times) and 140 mm (7 times) in 2020 and 2021, respectively ( Supplementary Table S1 ).…”

Section: Methodsmentioning

confidence: 99%

Soybean resilience to drought is supported by partial recovery of photosynthetic traits

Elsalahy

Reckling

2022

Front. Plant Sci.

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Climate change affects precipitation dynamics and the variability of drought frequency, intensity, timing, and duration. This represents a high risk in spring-sown grain legumes such as soybean. Yet, under European conditions, no evidence supports the potential recovery and resilience of drought-tolerant soybean cultivars after episodic drought, at different growth stages. A field experiment was conducted using a representative drought-tolerant cultivar of soybean (cv. Acardia), in 2020 and 2021, on sandy soils in Germany, applying four water regimes (irrigated, rainfed, early-drought, and late-drought stress). Drought stress was simulated by covering the plots during the event of rain with 6 × 6 m rainout shelters, at the vegetative (V-stage) and flowering (Fl-stage) stages. Drought response was quantified on plant height, chlorophyll fluorescence ratio (ChlF ratio), chlorophyll content (Chlc), and leaf surface temperature (LST), at different intervals after simulating drought until pod filling. Grain yield and yield components were quantified at the end of the growing season. Compared to rainfed conditions, a drought at V-stage and Fl-stage reduced significantly plant height, ChlF ratio, and Chlc by 20%, 11%, and 7%, respectively, but increased LST by 21% during the recovery phase. There was no recovery from drought except for Chlc after V-stage in 2021, that significantly recovered by 40% at the end of the growing season, signifying a partial recovery of the photochemical apparatus. Especially, there was no recovery observed in LST, implying the inability of soybean to restore LST within the physiological functional range (Graphical abstract). Under rainfed conditions, the grain yield reached 2.9 t ha-1 in 2020 and 5.2 t ha-1 in 2021. However, the episodic drought reduced the yield at V-stage and Fl-stage, by 63% and 25% in 2020, and 21% and 36% in 2021, respectively. To conclude, the timing of drought was less relevant for soybean resilience; however, pre- and post-drought soil moisture, drought intensity, and drought duration were likely more important. A drought-tolerant soybean cultivar may partially be drought-resilient due to the recovery of photosynthetic traits, but not the leaf thermal traits. Overall, these findings will accelerate future efforts by plant breeders, aimed at improving soybean drought resilience.

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Section: Methodsmentioning

confidence: 99%

Soybean resilience to drought is supported by partial recovery of photosynthetic traits

Elsalahy

Reckling

2022

Front. Plant Sci.

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“…Due to the location of eastern Germany, the climate water balance (CWB) is mostly low, necessitating high IWD (Drastig et al, 2016). The majority of the IWD in summer is met by groundwater pumping, leading to a lowering of the water table, and increasing competing demands and pressure from other sectors like public water supply (Gerwin et al, 2023;Mirschel et al, 2019) and ecological demands.…”

Section: Deficit Irrigation Water Demand Estimationmentioning

confidence: 99%

“…Conventional IMS included full irrigation with a threshold (FIT, 80% of field capacity and 50% maximum irrigation depth) and full irrigation with filled soil water content (FIWC, irrigation starts when the water content is less than 90%). Deficit IMS explored in this Due to high evaporative demand of the study area, supplemental irrigation is mainly used to meet IWD, especially in the summer season (Drastig et al, 2016;Mirschel et al, 2019). Table 2 summarizes the rainfall, conventional and deficit IMS adopted for the study area.…”

Section: Deficit Irrigation Toolbox Set-up For Assessing Irrigation W...mentioning

confidence: 99%

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Ogunsola,

Bankole,

Soboyejo

et al. 2024

Irrig Sci

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ERA5-Land reanalysis (ELR) climate time series has proven useful in (hydro)meteorological studies, however, its adoption for local studies is limited due to accuracies constraints. Meanwhile, local agricultural use of ELR could help data-scarce countries by addressing gaps in (hydro)meteorological variables. This study aimed to evaluate the first applicability of the ELR climate time series for modeling maize and potato irrigation water demand (IWD) at field scale and examined the performance of ELR precipitation with bias correction (DBC) and without bias correction (WBC). Yield, actual evapotranspiration (ETa), irrigation, water balance, and crop water productivity (CWP) were evaluated using the deficit irrigation toolbox. The study found that maize (13.98-14.49 ton/ha) and potato (6.84-8.20 tons/ha) had similar mean seasonal yield under different irrigation management strategies (IMS). The Global Evolutionary Technique for OPTimal Irrigation Scheduling (GET-OPTIS_WS) IMS had the highest mean seasonal yields under DBC and WBC, while rainfall and constant IMS had the most crop failures. DBC had a higher mean seasonal ETa than WBC, except for the potato FIT and rainfall IMS. Global Evolutionary Technique for OPTimal Irrigation Scheduling: one common schedule per crop season (GET-OPTIS_OS) and GET-OPTIS_WS IMS outperformed conventional IMS in IWD by 44%. Overall, GET-OPTIS_OS and GET-OPTIS_WS performed best for maize and potato CWP in terms of IWD, scheduling, and timing. Therefore, adoption of ELR climate time series and advanced irrigation optimization strategies such as GET-OPTIS_OS and GET-OPTIS_WS can be beneficial for effective and efficient management of limited water resources, where agricultural water allocation/resource is limited.

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“…After its introduction in the 15th and during the 16th century AD, maize variations spread rapidly across Europe and intensified again during the past decades due to the development of hybrid varieties, which are adapted to the climatic conditions in combination with strong increase in grain and silage yields for biofuel [87][88][89][90]. Locally, over 50% of the agricultural crop production in the URA is based on non-food maize cultivation, which consumes over most of the freshwater that is withdrawn for irrigation [91][92][93] . This development has not only triggered ecological consequences but eventually led to administrative regulations-at least in the Alsace where the impact of massive groundwater withdrawal finally entered the political stage.…”

Section: Regional Governance and Irrigation Control 2020mentioning

confidence: 99%

Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data

Kempf

Glaser

2020

Water

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Climate and regional land-use and landcover change (LUCC) impact the ecosystem of the Upper Rhine Area (URA) and transform large parts of the landscape into strongly irrigated agricultural cropland. The increase of long-term drought periods and the trend towards low summer precipitation totals trigger an increase in groundwater scarcity and amplify the negative effects of extensive irrigation purposes and freshwater consumption in a hydrologically sensitive region in Central Europe. This article presents qualitative transnational open source remote sensing temporal series of vegetation indices (NDVI) and groundwater level development to tracing near real-time vegetation change and socio-ecological feedbacks during periods of climate extremes in the Upper Rhine Area (2018–2020). Increased freshwater consumption caused a dramatic drop in groundwater availability, which eventually led to a strong degradation of the vegetation canopy and caused governmental regulations in July 2020. Assessing vegetation growth behavior and linking groundwater reactions in the URA through open source satellite data contributes to a rapidly accessible understanding of the ecosystem’s feedbacks on the local to the transnational scale and further enables risk management and eco-political regulations in current and future decision-making processes.

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Modelling and Simulation of Agricultural Landscapes

Cited by 9 publications

References 22 publications

Soybean resilience to drought is supported by partial recovery of photosynthetic traits

Soybean resilience to drought is supported by partial recovery of photosynthetic traits

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data

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