Abstract
Human activities have strongly influenced nitrogen loads; thus, the accurate evaluation of net anthropogenic nitrogen input (NANI) is very important for developing countermeasures to control N pollution. The spatiotemporal distribution and main components of NANI at the city scale in Hubei Province in 2008–2018 were analyzed using the NANI model. Furthermore, the relationships between NANI and socioeconomic factors, namely, the gross industrial output value per unit area (GIOV), gross agricultural output value per unit area (GAOV), grain yield per unit area (GY), fertilizer consumption density (FCD), population density (PD), and cultivated land area per unit area (CLA), were further analyzed. The results show that NANI in Hubei tended to increase from 14,422.66 kg km−2 year−1 in 2008 to 16,779.39 kg km−2 year−1 in 2012 and then fell to 13,415.74 kg km−2 year−1 in 2018. In terms of the spatial distribution, the NANI values in the mid-east region of Hubei, i.e., Xiangyang, Jingmen, Jingzhou, Suizhou, Xiaogan, Wuhan, Ezhou, and Huanggang and counties directly under the jurisdiction of the province, were significantly higher than those in the west, i.e., Shiyan, Yichang, and Enshi autonomous prefecture. The largest 11-year annual NANI, 39,462.03 kg km−2 year−1, occurred in Ezhou, while Shiyan had the lowest 11-year annual NANI of 6592.32 kg km−2 year−1. N fertilizer use (Nfer), which accounted for 55.23% of the NANI was the largest N input source, followed by net N import in food and feed (Nim), atmospheric N deposition (Ndep), N fixation (Nfix), and seeding N (Nsee). Pearson correlation analysis between the components of NANI and 6 socioeconomic factors revealed FCD as the primary factor responsible for NANI (r = 0.948), followed by GAOV (r = 0.607) and CLA (r = 0.558). The most direct driving factors of Ndep, Nfer, Nsee, and Nim were GIOV (r = 0.727), FCD (r = 0.966), CLA (r = 0.813), and GAOV (r = 0.746), respectively. All factors had a significant negative impact on Nfix. Therefore, the most efficient strategy to decrease NANI is to control the fertilizer application amount and improve agricultural development. Additionally, it is necessary to replace traditional high-polluting industries with ecological industry to reduce industrial pollution.
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References
Agricultural Technology Promotion Center of China (1999). Organic fertilizer nutrient of China. China Agriculture Press, Beijing, China. https://doi.org/10.2307/41479984
Alkorta I, Barrios L, Rozas I, Elguero J (2000) Comparison of models to correlate electron density at the bond critical point and bond distance. J Mol Struct THEOCHEM 496(1–3):131–137. https://doi.org/10.1016/S0166-1280(99)00177-3
Anderson KA, Downing JA (2006) Dry and wet atmospheric deposition of nitrogen, phosphorus and silicon in an agricultural region. Water Air Soil Pollut 176(1–4):351–374. https://doi.org/10.1016/S0166-1280(99)00177-3
Billen F, Somville M, Debecker E et al (1985) A nitrogen budget of the Scheldt hydrographical basin [J]. Neth J Sea Res 19:223–230. https://doi.org/10.1016/0077-7579(85)90027-4
Burns RC, Hardy RW (2012). Nitrogen fixation in bacteria and higher plants (Vol. 21): Springer Science & Business Media. https://doi.org/10.1016/0014-5793(76)80297-9
Chen L, Fu B, Zhang S, Qiu J, Guo X, Yang F (2002) A comparative study on nitrogen-concentration dynamics in surface water in a heterogeneous landscape. Environ Geol 42(4):424–432. https://doi.org/10.1007/s00254-002-0547-6
Chen D, Dahlgren RA, Lu J (2013) A modified load apportionment model for identifying point and diffuse source nutrient inputs to rivers from stream monitoring data. J Hydrol 501:25–34. https://doi.org/10.1016/j.jhydrol.2013.07.034
Chen F, Hou L, Liu M, Zheng Y, Yin G, Lin X, Li X, Zong H, Deng F, Gao J, Jiang X (2016) Net anthropogenic nitrogen inputs (NANI) into the Yangtze River basin and the relationship with riverine nitrogen export. Journal of Geophysical Research: Biogeosciences 121(2):451–465. https://doi.org/10.1002/2015JG003186
Deng F, Hou L, Liu M, Zheng Y, Yin G, Li X, Lin X, Chen F, Gao J, Jiang X (2015) Dissimilatory nitrate reduction processes and associated contribution to nitrogen removal in sediments of the Yangtze estuary. Journal of Geophysical Research: Biogeosciences 120(8):1521–1531. https://doi.org/10.1002/2015JG003007
Edwards C, Miller M (2001). PLOAD version 3.0 user’s manual. USEPA, Washington DC
Galloway JN, Schlesinger WH, Levy H, Michaels A, Schnoor JL (1995) Nitrogen fixation: anthropogenic enhancement-environmental response. Glob Biogeochem Cycles 9(2):235–252. https://doi.org/10.1029/95GB00158
Gao W, Guo H, Hou X (2014) Evaluating city-scale net anthropogenic nitrogen input (NANI) in mainland China. Acta Sci Nat Univ Pekinensis 50:951–959. https://doi.org/10.13209/j.0479-8023.2014.129
Gassman PW, Reyes MR, Green CH, Arnold JG (2005) SWAT peer-reviewed literature: a review. In 3rd International SWAT Conference. Zurich, Switzerland, (Vol. 13)
Han Y, Li X, Nan Z (2011) Net anthropogenic nitrogen accumulation in the Beijing metropolitan region. Environ Sci Pollut Res Int 18(3):485–496. https://doi.org/10.1007/s11356-010-0394-z
Han Y, Fan Y, Yang P, Wang X, Wang Y, Tian J, Xu L, Wang C (2014) Net anthropogenic nitrogen inputs (NANI) index application in mainland China. Geoderma 213:87–94. https://doi.org/10.1016/j.geoderma.2013.07.019
Hewett CJ, Quinn PF, Heathwaite AL, Doyle A, Burke S, Whitehead PG et al (2009) A multi-scale framework for strategic management of diffuse pollution. Environ Model Softw 24(1):74–85. https://doi.org/10.1016/j.envsoft.2008.05.006
Hong B, Dennis P, Swaney C-MM et al (2012) Evaluating regional variation of net anthropogenic nitrogen and phosphorus inputs (NANI/NAPI), major drivers, nutrient retention pattern and management implications in the multinational areas of Baltic Sea basin. Ecol Model 227:117–135. https://doi.org/10.1016/j.ecolmodel.2011.12.002
Hou L, Zheng Y, Liu M, Gong J, Zhang X, Yin G, You L (2013) Anaerobic ammonium oxidation (anammox) bacterial diversity, abundance, and activity in marsh sediments of the Yangtze estuary. Journal of Geophysical Research: Biogeosciences 118(3):1237–1246. https://doi.org/10.1002/jgrg.20108
Howarth RW, Billen G, Swaney D, Townsend A, Jaworski N, Lajtha K, et al. (1996). Regional nitrogen budgets and riverine N & P fluxes for the drainages to the North Atlantic Ocean: natural and human influences. In Nitrogen cycling in the North Atlantic Ocean and its watersheds (pp. 75–139): Springer. https://doi.org/10.1007/978-94-009-1776-7_3
Howarth R, Swaney D, Billen G, Garnier J, Hong B, Humborg C, Johnes P, Mörth CM, Marino R (2012) Nitrogen fluxes from the landscape are controlled by net anthropogenic nitrogen inputs and by climate. Front Ecol Environ 10(1):37–43. https://doi.org/10.1890/100178
Huang H, Chen DJ, Zhang BF et al (2014) Modeling and forecasting riverine dissolved inorganic nitrogen export using anthropogenic nitrogen inputs, hydroclimate, and land-use change. J Hydrol 517:95–104. https://doi.org/10.1016/j.jhydrol.2014.05.024
Jaworski NA, Groffman PM, Keller AA, Prager JC (1992) A watershed nitrogen and phosphorus balance: the upper Potomac River basin. Estuaries 15(1):83–95. https://doi.org/10.1007/BF02690065
Jia Y, Wang Q, Zhu J, Chen Z, He N, Y G (2018) A spatial and temporal dataset of atmospheric inorganic nitrogen wet deposition in China (1996–2015). Science Data Bank. (2018-05-21). https://doi.org/10.11922/sciencedb.607
Jiang T, Yu Z, Song X, Cao X (2012) Nitrogen budget in the Changjiang River drainage area. Chin J Oceanol Limnol 30(4):654–667. https://doi.org/10.1007/s00343-012-1306-5
Jordan TE, Weller DEJB (1996). Human contributions to terrestrial nitrogen flux. (9), 9. https://doi.org/10.2307/1312895
Lian H, Lei Q, Zhang X, Haw Y, Wang H, Zhai L et al (2018) Effects of anthropogenic activities on long-term changes of nitrogen budget in a plain river network region: a case study in the Taihu Basin. Sci Total Environ 645:1212–1220. https://doi.org/10.1016/j.scitotenv.2018.06.354
Lowrance RR, Leonard RA, Asmussen LE, Todd RL (1985) Nutrient budgets for agricultural watersheds in the southeastern coastal plain. Ecology 66(1):287–296. https://doi.org/10.2307/1941330
Lü C, & Tian HJJ (2007). Spatial and temporal patterns of nitrogen deposition in China: synthesis of observational data. 112(D22), D22S05. https://doi.org/10.1029/2006JD007990
McIsaac GF, David MB, Gertner GZ, Goolsby DA (2002) Relating net nitrogen input in the Mississippi River basin to nitrate flux in the lower Mississippi River. J Environ Qual 31(5):1610–1622. https://doi.org/10.2134/jeq2002.1610
Mckee LJ, Eyre BDJB (2000) Nitrogen and phosphorus budgets for the sub-tropical Richmond River catchment. Australia. 50(3):207–239. https://doi.org/10.1023/a:1006391927371
Rong Y, Kentaro H, Bin Z, Feiyue L, Xiaoyuan Y (2010). Atmospheric NH3 and NO2 concentration and nitrogen deposition in an agricultural catchment of Eastern China. %J The Science of the total environment. 408(20). https://doi.org/10.1016/j.scitotenv.2010.06.006
Smith RA, Schwarz GE, Alexander RB (1997) Regional interpretation of water-quality monitoring data. Water Resour Res 33(12):2781–2798. https://doi.org/10.1029/97wr02171
Swaney DP, Hong B, Ti C, Howarth RW, Humborg C (2012) Net anthropogenic nitrogen inputs to watersheds and riverine N export to coastal waters: a brief overview. Curr Opin Environ Sustain 4(2):203–211. https://doi.org/10.1016/j.cosust.2012.03.004
Ti C, Pan J, Xia Y, Yan X (2012) A nitrogen budget of mainland China with spatial and temporal variation. Biogeochemistry 108(1–3):381–394. https://doi.org/10.2307/41410602
Townsend M, Young D (2000) Assessment of nitrate—nitrogen distribution in Kansas groundwater, 1990–1998. Nat Resour Res 9(2):125–134. https://doi.org/10.1100/tsw.2001.331
Van Breemen NV, Boyer EW, Goodale C, Jaworski N, Paustian K, Seitzinger S et al (2002) Where did all the nitrogen go? Fate of nitrogen inputs to large watersheds in the northeastern USA. Biogeochemistry 57(1):267–293. https://doi.org/10.1023/a:1015775225913
Van Horn H (1998) Factors affecting manure quantity, quality, and use. In Proceedings of the mid-south ruminant nutrition conference, Dallas-Ft. Worth, (pp. 9–20)
Wang Y (2003) The brief introduction of the progress of food composition table in China. Acta Nutr Sin 25:126–129. https://doi.org/10.3321/j.issn:0512-7955.2003.02.007
Wu S (2005) The spatial and temporal change of nitrogen and phosphorus produced by livestock and poultry & their effects on agricultural non-point pollution in China. The Chinese Academy of Agricultural Science, China, pp 12–16
Young R, Onstad C, Bosch D, Anderson W (1989) AGNPS: a nonpoint-source pollution model for evaluating agricultural watersheds. J Soil Water Conserv 44(2):168–173
Zhang W, Su J, Du X, Li X (2015a) Net anthropogenic nitrogen input to Huaihe River basin, China during 1990-2010. Ying yong sheng tai xue bao = The journal of applied ecology 26(6):1831–1839
Zhang Y, Bleeker A, Liu J (2015b) Nutrient discharge from China’s aquaculture industry and associated environmental impacts [J]. Environ Res Lett 10(4):3–14. https://doi.org/10.1088/1748-9326/10/4/045002
Zhang W, Li H, Li Y (2019) Spatio-temporal dynamics of nitrogen and phosphorus input budgets in a global hotspot of anthropogenic inputs. Sci Total Environ 656:1108–1120. https://doi.org/10.1016/j.scitotenv.2018.11.450
Zhang XL, Zhang Y, Brian D (2020) Fath. Analysis of anthropogenic nitrogen and its influencing factors in Beijing. J Clean Prod 244:118780. https://doi.org/10.1016/j.jclepro.2019.118780
Zheng, C. (2011). Serious food waste found in the catering sector in China. ChinaDaily News
Zheng Y, Hou L, Liu M, Lu M, Zhao H, Yin G, Zhou J (2013) Diversity, abundance, and activity of ammonia-oxidizing bacteria and archaea in Chongming eastern intertidal sediments. Appl Microbiol Biotechnol 97(18):8351–8363. https://doi.org/10.1007/s00253-012-4512-3
Zheng Y, Hou L, Newell S, Liu M, Zhou J, Zhao H, You L, Cheng X (2014) Community dynamics and activity of ammonia-oxidizing prokaryotes in intertidal sediments of the Yangtze estuary. Appl Environ Microbiol 80(1):408–419. https://doi.org/10.1128/aem.03035-13
Funding
The study has been supported by the National Natural Science Foundation of China (NSFC) (Grant Nos. 51790533 and 51879196) and the China Postdoctoral Science Foundation. (Grant No. 2019 M652705).
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Haolin Xu: development and design of methodology, application of statistical and mathematical, research investigation, management activities to annotate, original draft. Weimin Xing and Peiling Yang: polish the manuscript and plan inspection. Chang Ao: formulation and evolution of overarching research goals and aims, management and coordination responsibility for the research activity planning and execution.
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Highlights
(1) Rural and urban food consumption were considered in NANI model.
(2) Spatiotemporal distribution and composition of NANI in Hubei Province were discussed.
(3) Relationships between NANI and socioeconomic indexes were analyzed.
(4) Local N management strategies were proposed according to characteristics of NANI.
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Xv, H., Xing, W., Yang, P. et al. Regional estimation of net anthropogenic nitrogen inputs (NANI) and the relationships with socioeconomic factors. Environ Sci Pollut Res 28, 11170–11182 (2021). https://doi.org/10.1007/s11356-020-11296-9
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DOI: https://doi.org/10.1007/s11356-020-11296-9