Using RZWQM to simulate the fate of nitrogen in field soil–crop environment in the Mediterranean region

Cameira, Maria do Rosário; Fernando, R.M.; Ahuja, Lajpat R.; Li, Ma

doi:10.1016/j.agwat.2007.03.002

Cited by 64 publications

(28 citation statements)

References 21 publications

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“…However, few embody these aspects holistically producing estimates as a function of the interaction of various types of soil, climate and agricultural practices, as does the Root Zone Water Quality Model 2 (RZWQM2, Ahuja et al, 2000a). RZWQM2 was developed by the USDA and was already validated and used in Portugal for the assessment of the nitrate pollution potential in cereals and vegetables (Cameira et al, 2005(Cameira et al, , 2007(Cameira et al, , 2014. It is now applied for the first time to an intensive irrigated olive grove.…”

Section: Introductionmentioning

confidence: 99%

Sustainability and environmental assessment of fertigation in an intensive olive grove under Mediterranean conditions

Cameira

Pereira

Ahuja³

et al. 2014

Agricultural Water Management

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Section: Introductionmentioning

confidence: 99%

Sustainability and environmental assessment of fertigation in an intensive olive grove under Mediterranean conditions

Cameira

Pereira

Ahuja³

et al. 2014

Agricultural Water Management

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“…For example, during 1993, the model overpredicted the annual amount of NO 3 –N drainage losses by 35%. In a comprehensive study of the fate of N in a field soil‐crop environment in the Mediterranean region, Cameira et al (2007) also found that the prediction of residual NO 3 –N in the soil presented errors ranging from 19 to 38% using RZWQM. Hu et al (2006) calibrated and tested the RZWQM to assess N management in a double‐cropping system composed of winter wheat and corn in the North China Plain.…”

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confidence: 97%

Soil Nitrogen Balance under Wastewater Management: Field Measurements and Simulation Results

Sophocleous

Townsend

Vocasek³

et al. 2009

J of Env Quality

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The use of treated wastewater for irrigation of crops could result in high nitrate-nitrogen (NO(3)-N) concentrations in the vadose zone and ground water. The goal of this 2-yr field-monitoring study in the deep silty clay loam soils south of Dodge City, Kansas, was to assess how and under what circumstances N from the secondary-treated, wastewater-irrigated corn reached the deep (20-45 m) water table of the underlying High Plains aquifer and what could be done to minimize this problem. We collected 15.2-m-deep soil cores for characterization of physical and chemical properties; installed neutron probe access tubes to measure soil-water content and suction lysimeters to sample soil water periodically; sampled monitoring, irrigation, and domestic wells in the area; and obtained climatic, crop, irrigation, and N application rate records for two wastewater-irrigated study sites. These data and additional information were used to run the Root Zone Water Quality Model to identify key parameters and processes that influence N losses in the study area. We demonstrated that NO(3)-N transport processes result in significant accumulations of N in the vadose zone and that NO(3)-N in the underlying ground water is increasing with time. Root Zone Water Quality Model simulations for two wastewater-irrigated study sites indicated that reducing levels of corn N fertilization by more than half to 170 kg ha(-1) substantially increases N-use efficiency and achieves near-maximum crop yield. Combining such measures with a crop rotation that includes alfalfa should further reduce the accumulation and downward movement of NO(3)-N in the soil profile.

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“…In the case of wheat, several models have been tested, and they include the decision support system for agrotechnology transfer (DSSAT, Guo et al, 2010), AquaCrop (Wang et al, 2013), and the agricultural production systems sIMulator (APSIM, He et al, 2015). Among the different models, RZWQM2 effectively simulates the effects of main agricultural management practices on the soil–water–plant processes that influence water in soils (Cameira et al, 2007). As a process‐based crop model, the RZWQM2 has been extensively used to simulate crop development, water use, and management practices (Fang et al, 2014; Ma et al, 2007, 2012), and has been proven to be an effective tool for investigating the potential impacts of climate variability on the yield and water use of winter wheat production (Ko et al, 2012).…”

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Modifying Winter Wheat Sowing Date as an Adaptation to Climate Change on the Loess Plateau

et al. 2016

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Adopting convenient strategies to cope with climate change is necessary for farmers. In this study, we modified winter wheat (Triticum aestivum L.) sowing date employing the root zone water quality model (RZWQM2) on the semiarid Loess Plateau of China, and mainly aimed to (i) investigate how the adapted sowing date affects winter wheat production and water use efficiency (WUE) under global warming and (ii) explore the optimal sowing date under different precipitation patterns (i.e., wet, medium, and dry years). Results showed that the RZWQM2 model could efficiently simulate crop development, water movement, and final crop yields on the Loess Plateau. The properly delayed sowing date efficiently maintained wheat yield, reduced evapotranspiration, increased WUE, and minimized the decreasing rate of wheat yield and WUE under global warming from the 1950s. To maintain a high level of yield under global warming, the wheat sowing date could be delayed by 10 to 20 d in the wet and medium years, and by 20 to 25 d in the dry year compared with the current sowing date. Therefore, a delayed sowing date could be used on the Loess Plateau and even similar semiarid environments in the world to cope with climate change for farmers.

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Using RZWQM to simulate the fate of nitrogen in field soil–crop environment in the Mediterranean region

Cited by 64 publications

References 21 publications

Sustainability and environmental assessment of fertigation in an intensive olive grove under Mediterranean conditions

Sustainability and environmental assessment of fertigation in an intensive olive grove under Mediterranean conditions

Soil Nitrogen Balance under Wastewater Management: Field Measurements and Simulation Results

Modifying Winter Wheat Sowing Date as an Adaptation to Climate Change on the Loess Plateau

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