Assessment of the predictive quality of simple indicator approaches for nitrate leaching from agricultural fields

Buczko, Uwe; Kuchenbuch, R.; Lennartz, Bernd

doi:10.1016/j.jenvman.2010.02.007

Cited by 57 publications

(22 citation statements)

References 45 publications

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“…In this article, we describe our use of the University of California Nitrate Groundwater Pollution Hazard Index (HI) (Wu et al 2005) to map at the scale of individual agricultural fields the vulnerability to NO 3 leaching from the rootzone in an area of 1,317,906 ha (3,306,363 ac) of irrigated cropland in the southern SJV. Several researchers have discussed in detail the advantages of various N indexes used to assess N management and/or N losses to the environment (Shaffer and Delgado 2002;Buczko et al 2010). An example of an index that has been used to estimate the potential for NO 3 leaching is the Leaching Index of Williams and Kissel (1991).…”

Section: Irrigated Cropland Is the Largest Source Of Groundwater Nitrmentioning

confidence: 99%

Potential to assess nitrate leaching vulnerability of irrigated cropland

Dzurella¹,

Pettygrove²,

Fryjoff-Hung³

et al. 2015

Journal of Soil and Water Conservation

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Irrigated cropland represents the largest source of groundwater nitrate (NO 3 ) pollution in the Central Valley (CV) of California. Mitigation, through the use of best management practices that maximize crop nitrogen use efficiency (NUE), will be most effective in reducing pollution if used where the risk of NO 3 leaching loss is greatest. The University of California's Nitrate Groundwater Pollution Hazard Index (HI) tool was used to map the risk of NO 3 leaching below the rootzone in irrigated fields in a portion of the CV. The HI is an expert system that calculates an index value based on soil properties, crop characteristics, and type of irrigation system in use. Depth to groundwater, aquifer recharge rate, and actual farm management practices (e.g., rate of nitrogen [N] fertilizer applied) are not considered in the calculation. Application of the HI to 1,318,000 ha (3,256,848 ac) of irrigated cropland in the four southernmost counties of the CV revealed that 31% of the area is at high risk of NO 3 leaching loss if not managed carefully. Adoption of drip or microsprinkler irrigation on all orchards, vineyards, and vegetable fields would decrease the area rated as most vulnerable from 31% to 20% of the area analyzed. Crop fields on permeable soils and/or irrigated by surface gravity methods contributed the most to the area at high risk. The HI can help the USDA, regulatory agencies, and Cooperative Extension target regulatory, research, and education efforts.

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Section: Irrigated Cropland Is the Largest Source Of Groundwater Nitrmentioning

confidence: 99%

Potential to assess nitrate leaching vulnerability of irrigated cropland

Dzurella¹,

Pettygrove²,

Fryjoff-Hung³

et al. 2015

Journal of Soil and Water Conservation

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“…Calculations of N surplus assume the soil organic carbon and N are in equilibrium, and there is no net mineralisation or immobilisation. Under these assumptions, the N surplus can be an estimate of how much N is available to be lost to the environment, and measuring the N surplus has been proposed as a way of estimating potential environmental losses (Buczko et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Reducing dissolved inorganic nitrogen in surface runoff water from sugarcane production systems

Webster

Bartley

Armour

et al. 2012

Marine Pollution Bulletin

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“…There are three main approaches to assessing nitrate leakage: (i) calculating indices, which are often easy to understand (Bockstaller et al 1997), (ii) applying a farmland ecosystem water and nutrient balance model, which can incorporate complex parameters and be used to quantify emissions of pollutants at various spatial and temporal scales (Donatelli et al 1999;Luo et al 2011), and (iii) long-term experiments, which can generate more reliable results, but are time consuming, costly and yield results with limited general applicability, due to climatic and edaphic variations (Buczko et al 2010;Huang et al 2011). In contrast, farmland N 2 O emissions are generated from plant-available soil N during nitrification and denitrification (Shi et al 2012) and are affected by temperature, pH, moisture, and agricultural management practices (Xie and Li 2002;Xing and Yan 1999).…”

Section: Introductionmentioning

confidence: 99%

Assessment of nitrate leakage and N2O emission from five environmental-friendly agricultural practices using fuzzy logic method and empirical formula

Qin

Wang

et al. 2015

Environ Monit Assess

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Agricultural nonpoint source pollution in China has been the major environmental problem, so environmental-friendly agricultural practices (EAPs) must be promoted to improve environmental quality. However, the most suitable practices for each agricultural region must first be identified. Thus, in the presented study a fuzzy-logic method and a revised empirical formula were used to assess nitrate leakage and N 2 O emissions, respectively, and to compare five EAPs in Xinxiang, a major grain-producing county in Henan Province, China. The required information was collected in face-to-face interviews with 10 extension service experts from the county, using a questionnaire to explore their opinions of the EAPs currently adopted by smallholder farmers, as well as the amounts, frequencies, varieties and proportions of nitrogen fertilizers applied annually. The results indicate that reduced tillage, soil testing and fertilizer recommendations would be the most appropriate practices to initially promote on a large scale in Xinxiang.

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Assessment of the predictive quality of simple indicator approaches for nitrate leaching from agricultural fields

Cited by 57 publications

References 45 publications

Potential to assess nitrate leaching vulnerability of irrigated cropland

Potential to assess nitrate leaching vulnerability of irrigated cropland

Reducing dissolved inorganic nitrogen in surface runoff water from sugarcane production systems

Assessment of nitrate leakage and N2O emission from five environmental-friendly agricultural practices using fuzzy logic method and empirical formula

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