Modelling to increase the eco-efficiency of a wheat–maize double cropping system

Zhao, Zhigan; Qin, Xin; Wang, Enli; Carberry, Peter; Zhang, Yinghua; Zhou, Shun-Li; Zhang, Xiying; Hu, Chunsheng; Wang, Zhimin

doi:10.1016/j.agee.2015.05.005

Cited by 50 publications

(20 citation statements)

References 34 publications

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“…The LCA as a technique was developed to assess environmental impacts over a life cycle Kouchaki-Penchah et al, 2016;Shahvarooghi Farahani and Asoodar, 2017). It has a significant potential to improve the efficiency of finite natural resources and energy utilization as well as improving the economic performance in product systems (Eady, 2017;Kouchaki-Penchah et al, 2017;Nikkhah et al, 2014;Zhang et al, 2015). For analyzing the economic issues in connection with environmental consequences, economic-ecological efficiency, known as EE can also be used (Ullah et al, 2015;Thanawong et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Khanali et al, (2016) conducted an LCA investigation on saffron production in Iran. Zhao et al (2015) focused on increasing the EE in wheat-maize rotation by combining field data and scenario modelling. Soheili-Fard et al (2014) focused on the relation between CO2 emission and tea green leaf yield in three field sizes (small, medium and large).…”

Section: Introductionmentioning

confidence: 99%

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Cradle to grave environmental-economic analysis of tea life cycle in Iran

Soheili-Fard¹,

Kouchaki-Penchah

Raini³

et al. 2018

Journal of Cleaner Production

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Tea as the second most consumed none-alcoholic beverage in the world next to the water is involved with considerable environmental impacts during its life cycle. Because of the high importance of the tea sector in northern Iran, the present study aimed to assess the environmental burdens of tea in life cycle, including green tea leaf production in the farm and its transportation to the factory, tea processing, tea packaging, processed tea transportation to the local shop and its preparation in private household in Guilan province, Iran. The hotspots of each stage were identified and then all of stages were combined and different alternatives were compared. For this purpose, Life cycle assessment (LCA) approach was used based on the ISO 14040 standard.CML-IA baseline method was applied for impact assessment. Also the economic performance was assessed for green tea leaf and packaged black tea by calculating eco-efficiency (EE) scores.Required input data were collected from 30 farms and 30 tea processing factories in Lahijan and Langroud regions. LCA results showed that machinery and diesel fuel were the most pollutant inputs in farm and factory, respectively. Tea green leaf production was identified as the major contributor (57%) to environmental burdens in comparison with other steps throughout tea life cycle. Two-layer packaging was found as the most pollutant scenario in comparison to other scenarios (one-layer, three-layer and polyethylene packages). Cooktop was found to be more environment-friendly than electric kettle. Low EE score for most impact categories indicated the necessity of reconsidering the patterns for tea leaf production. For packaging scenarios, threelayer packaging had the highest net income with lowest environmental impacts. Based on the modelled results, it is suggested that negative environmental consequences of tea life cycle can

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cradle to grave environmental-economic analysis of tea life cycle in Iran

Soheili-Fard¹,

Kouchaki-Penchah

Raini³

et al. 2018

Journal of Cleaner Production

View full text Add to dashboard Cite

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“…Mathematical modeling has been proven to be a powerful tool in predicting N losses [18][19][20][21][22]. At present, most mathematical models concerned on N leaching from agricultural lands are mainly focused on dryland, such as the Nitrogen Leaching and Economic Analysis Package (NLEAP) program [18,23,24], HYDRUS-1D/2D/3D model [25,26] and LEACHA/N model [27].…”

Section: Introductionmentioning

confidence: 99%

Nitrogen Leaching Loss Estimation from Paddy Soil in the Taihu Lake Region of China by a Newly Developed Simple Model

Xie

et al. 2019

JAR

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Nitrogen leaching as a direct pathway of N loss from agricultural land can negatively affect groundwater and surface water quality. However, a simple and efficient method for nitrogen leaching loss estimation is still inefficient. In this study, an exponential model was developed using the experimental data from a two-year field experiment conducted in the Taihu Lake region of China to simulate the N leaching from the paddy soil. The results showed the leached N was in the range of 5.66 to 8.45 kg N/ha during the whole rice season, which was accounted for 1.7%-2.1% of the applied N. A good agreement between the measured and model predicted results for N leaching loss was observed, suggesting the validity of the established model. The model was further validated with the data of other studies in other regions. The results demonstrated this model is able to simulate the N leaching loss accurately and can provide a beneficial tool for users to predict N leaching loss in paddy soil.

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“…Agricultural systems modeling has proven to be an effective tool to investigate the potential impacts of climate variability and management strategies on crop productivity, resource use efficiencies and environmental impacts of farming systems [ 18 , 19 ]. In recent years, the Decision Support System for Agrotechnology Transfer (DSSAT) model [ 20 , 21 ] has been successfully used to analyze irrigation strategies for wheat in China [ 22 – 28 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of limited irrigation strategies to improve water use efficiency and wheat yield in the North China Plain

Zhang

Batchelor

et al. 2018

PLoS ONE

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The North China Plain is one of the most important grain production regions in China, but is facing serious water shortages. To achieve a balance between water use and the need for food self-sufficiency, new water efficient irrigation strategies need to be developed that balance water use with farmer net return. The Crop Environment Resource Synthesis Wheat (CERES-Wheat model) was calibrated and evaluated with two years of data which consisted of 3–4 irrigation treatments, and the model was used to investigate long-term winter wheat productivity and water use from irrigation management in the North China Plain. The calibrated model simulated accurately above-ground biomass, grain yield and evapotranspiration of winter wheat in response to irrigation management. The calibrated model was then run using weather data from 1994–2016 in order to evaluate different irrigation strategies. The simulated results using historical weather data showed that grain yield and water use was sensitive to different irrigation strategies including amounts and dates of irrigation applications. The model simulated the highest yield when irrigation was applied at jointing (T9) in normal and dry rainfall years, and gave the highest simulated yields for irrigation at double ridge (T8) in wet years. A single simulated irrigation at jointing (T9) produced yields that were 88% compared to using a double irrigation treatment at T1 and T9 in wet years, 86% of that in normal years, and 91% of that in dry years. A single irrigation at jointing or double ridge produced higher water use efficiency because it obtained higher evapotranspiration. The simulated farmer irrigation practices produced the highest yield and net income. When the cost of water was taken into account, limited irrigation was found to be more profitable based on assumptions about future water costs. In order to increase farmer income, a subsidy will likely be needed to compensate farmers for yield reductions due to water savings. These results showed that there is a cost to the farmer for water conservation, but limiting irrigation to a single irrigation at jointing would minimize impact on farmer net return in North China Plain.

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Modelling to increase the eco-efficiency of a wheat–maize double cropping system

Cited by 50 publications

References 34 publications

Cradle to grave environmental-economic analysis of tea life cycle in Iran

Cradle to grave environmental-economic analysis of tea life cycle in Iran

Nitrogen Leaching Loss Estimation from Paddy Soil in the Taihu Lake Region of China by a Newly Developed Simple Model

Evaluation of limited irrigation strategies to improve water use efficiency and wheat yield in the North China Plain

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