Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010

Wang, Xuelei; Feng, Aiping; Wang, Qiao; Wu, Chen; Zhong, Liu; Ma, Zusheng; Wei, Xin-Feng

doi:10.1016/j.agee.2014.04.027

Cited by 44 publications

(32 citation statements)

References 15 publications

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“…Human activities associated with food and energy production have greatly elevated nitrogen (N) bioavailability to an extent that exceeds the assimilative capacity in many terrestrial ecosystems, often leading to large increases in N fluxes to waters (Kopá9 cek et al, 2013;Wang et al, 2014). Enrichment of N leads to eutrophication of surface waters causing degradation of aquatic ecosystems, such as toxic algal blooms, low dissolved oxygen, depletion of fish populations, and loss of aquatic biodiversity (Kettering et al, 2012;Vogt et al, 2015;Hofmeier et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Nitrogen budgets are useful for evaluating impacts of human activities on the N cycle by relating anthropogenic N inputs to outputs (Hayakawa et al, 2009;Kettering et al, 2012;Wang et al, 2014). Net anthropogenic nitrogen input (NANI) is a budgeting approach that sums annual N contributions from atmospheric deposition, fertilizer application, agricultural fixation, seed input, and net import/export in feed and food (Hong et al, 2013;Han et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Chen

Guo

et al. 2016

Agriculture, Ecosystems & Environment

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A B S T R A C TThis study quantified the long-term response of riverine total nitrogen (TN) export to changes in net anthropogenic nitrogen inputs to forest/agricultural (NANI FA ) and residential (NANI R ) systems across three catchments affected by low (LD), medium (MD), and high (HD) human impacts in eastern China. Annual NANI FA increased by 63-87% in 1980-1999, followed by 0% (LD), À23% (MD) and À40% (HD) changes of NANI FA in 2000-2010, resulting in a net increase of 56-78% in NANI FA in 1980-2010. Annual NANI R increased by 101-152% in the three catchments in 1980-2010. Land-use showed a 58-65% increase in developed land area (D%) and a 96-108% increase in agricultural lands with improved drainage systems (AD%) over the study period. In response to changes in NANI FA , NANI R and land-use, riverine TN flux continuously increased 3.0-to 6.1-fold in the three catchments over the past 31 years. For each catchment, an empirical model incorporating annual NANI FA , NANI R , water discharge, D%, and AD% was developed (R 2 = 0.93 À 0.97) for predicting and quantifying sources of annual riverine TN fluxes. The model estimated that NANI FA , NANI R and other N sources (e.g., natural background, legacy, and industrial N sources) contributed 27-90%, 0-45%, and 10-28% of riverine TN fluxes, respectively. Model results were consistent with spatio-temporal changes of riverine chloride, ammonium, nitrate, dissolve oxygen and pH, as well as changes in available N levels in agricultural soils. In terms of N source management, reduction of NANI FA in catchment LD and NANI R in catchment HD would have the greatest impact on reducing riverine TN fluxes. Furthermore, changes in land use and climate as well as legacy N should be considered in developing N pollution control strategies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Chen

Guo

et al. 2016

Agriculture, Ecosystems & Environment

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“…5b). The spatial differences of LR are highly consistent with the results of 1st national pollution census program (hereafter NPCP) in China (MOA, 2007;Wang et al, 2014). To verify the spatial pattern of our result, we assessed the reliability in upscaling through validation using the 'diagnostic' L N derived from the observed TN concentrations in groundwater beneath cropland (Gu et al, 2013).…”

Section: Model Calibration and Validationmentioning

confidence: 49%

Quantifying nitrogen leaching response to fertilizer additions in China's cropland

Gao

Zhou

et al. 2016

Environmental Pollution

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a b s t r a c tAgricultural soils account for more than 50% of nitrogen leaching (L N ) to groundwater in China. When excess levels of nitrogen accumulate in groundwater, it poses a risk of adverse health effects. Despite this recognition, estimation of L N from cropland soils in a broad spatial scale is still quite uncertain in China. The uncertainty of L N primarily stems from the shape of nitrogen leaching response to fertilizer additions (N rate ) and the role of environmental conditions. On the basis of 453 site-years at 51 sites across China, we explored the nonlinearity and variability of the response of L N to N rate and developed an empirical statistical model to determine how environmental factors regulate the rate of N leaching (LR). The result shows that L N -N rate relationship is convex for most crop types, and varies by local hydro-climates and soil organic carbon. Variability of air temperature explains a half (~52%) of the spatial variation of LR. The results of model calibration and validation indicate that incorporating this empirical knowledge into a predictive model could accurately capture the variation in leaching and produce a reasonable upscaling from site to country. The fertilizer-induced L N in 2008 for China's cropland were 0.88 ± 0.23 TgN (1s), significantly lower than the linear or uniform model, as assumed by Food and Agriculture Organization and MITERRA-EUROPE models. These results also imply that future policy to reduce N leaching from cropland needs to consider environmental variability rather than solely attempt to reduce N rate .

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“…In comparison with 1980, soil P input, output and balance increased by 252, 107 and 815% respectively in 2012. Previous studies have shown that the average P surplus in arable land across the whole country to be 4.8, 7.1, 13.3, 26.3, 37.9 and 52.7 kg P/ha in 1980, 1985, 1990, 1995, 1999 and 2010, respectively (Lu, ; Wang et al ., ), consistent with the results of our research. This increase in soil P balance has also been supported by our previous report on the increase of soil available P with time from 1990 to 2012 in China (Ma et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…Better quantifying P inputs and assessing the temporal and spatial variation of the soil P balance for the arable land of China would provide a stronger basis for future P management strategies and the control of eutrophication, thereby establishing more sustainable agricultural production systems (Sharpley, ). However, most previous studies of soil P balances in China have focused only on one specific year (Chen et al ., ; Li & Jin, ; Wang et al ., ), providing snapshot, static assessments and limited information regarding temporal changes in the soil P balance. Although there have been some temporal studies conducted on the soil P balance (Sheldrick et al ., ; Liu et al ., ; Wu et al ., ; Bellarby et al ., ), these were either performed at a national scale, or focused only on one province, therefore being unable to provide sufficient spatial disaggregation of the soil P balance across the whole of China.…”

Section: Introductionmentioning

confidence: 99%

The long‐term soil phosphorus balance across Chinese arable land

Liu

et al. 2018

Soil Use and Management

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Quantifying temporal and spatial variation of soil phosphorus (P) input, output and balance across Chinese arable land is necessary for better P management strategies. Here, we address this challenge using a soil P budget to analyse the soil P balance in arable land across the whole of China, for the period 1980–2012. Results indicated that the total P input to soil increased from 22.5 kg P/ha in 1980 to 79.1 kg P/ha in 2012. However, the total P output from soil only increased from 17.9 kg P/ha in 1980 to 36.9 kg P/ha in 2012. Therefore, the average net soil P surplus in China increased from 4.6 kg P/ha in 1980 to 42.1 kg P/ha in 2012. Our research found great variation in soil P balances across different regions. Soil P balance varied between regions with the order of southeast (SE) > north central (NC) and the middle and lower reaches of Yangtze River (MLYR) > southwest (SW) > northwest (NW) > northeast (NE). Phosphorus that has accumulated in agricultural soil across China could theoretically meet crop P demands for approximately 4.8–12.0 yrs, depending on the bioavailability of P stored in soils. Increasing the return rates of manure and straw could substantially reduce the demand for fertilizer‐P. This paper represents a basis for more targeted, regionally informed P fertilizer recommendations in Chinese soils.

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Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010

Cited by 44 publications

References 15 publications

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Quantifying nitrogen leaching response to fertilizer additions in China's cropland

The long‐term soil phosphorus balance across Chinese arable land

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