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Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China

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  • Zhang, Yan
  • Lu, Hanjing
  • Fath, Brian D.
  • Zheng, Hongmei

Abstract

The consumption of food, energy, and industrial products in cities results in large quantities of excess nitrogen circulating in socio-ecological systems. However, details about how nitrogen flows and transforms within urban systems are unclear. In this study, we analyzed the nitrogen processes of Beijing considering the influences from human activities and nature under the framework of urban metabolism. Ecological network analysis was used to track the integral (direct+indirect) flows and to compare the contribution of direct and indirect flows at both the scale of each component and of the whole urban system during the period from 1996 to 2012. We found that Atmosphere, Household, and Industry had the most interactions with other nodes in the network. The integral flow from Industry to Atmosphere, which was consistently at 200Gg, was the largest at five time points; the flow from Household to Sewage treatment grew fastest, and in 2012, increased to 5.9 times its 1996 value; the flow from Industry to Farmland decreased most obviously, and in 2012, it decreased to 12.9% of the value in 1996. Moreover, the indirect effects were dominant for the whole system in Beijing with a ratio of indirect to direct flow equal to 1.2. Surface Water and Forest had the strongest indirect effects maintaining a ratio of almost 2. Meanwhile, exploitation and competition relations were most frequent and their proportions were much larger than the proportion of mutualism relations. Through our results, integral flows were found to identify accurately the crucial process of nitrogen metabolism and our results showed how these ecological relationships influence the urban nitrogen flows within the system.

Suggested Citation

  • Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
  • Handle: RePEc:eee:ecomod:v:337:y:2016:i:c:p:29-38
    DOI: 10.1016/j.ecolmodel.2016.06.001
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    1. Pierer, Magdalena & Winiwarter, Wilfried & Leach, Allison M. & Galloway, James N., 2014. "The nitrogen footprint of food products and general consumption patterns in Austria," Food Policy, Elsevier, vol. 49(P1), pages 128-136.
    2. Min, Yong & Jin, Xiaogang & Chang, Jie & Peng, Changhui & Gu, Baojing & Ge, Ying & Zhong, Yang, 2011. "Weak indirect effects inherent to nitrogen biogeochemical cycling within anthropogenic ecosystems: A network environ analysis," Ecological Modelling, Elsevier, vol. 222(17), pages 3277-3284.
    3. Dame, James K. & Christian, Robert R., 2008. "Evaluation of ecological network analysis: Validation of output," Ecological Modelling, Elsevier, vol. 210(3), pages 327-338.
    4. Zhang, Yan & Li, Shengsheng & Fath, Brian D. & Yang, Zhifeng & Yang, Naijin, 2011. "Analysis of an urban energy metabolic system: Comparison of simple and complex model results," Ecological Modelling, Elsevier, vol. 223(1), pages 14-19.
    5. Schramski, J.R. & Gattie, D.K. & Patten, B.C. & Borrett, S.R. & Fath, B.D. & Whipple, S.J., 2007. "Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 18-30.
    6. Costea, Carmen, 2006. "Comments on the use of network structures to analyse commercial companies’ evolution and their impact on economic behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 140-144.
    7. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Ecological network and emergy analysis of urban metabolic systems: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 220(11), pages 1431-1442.
    8. Reid Bailey & Bert Bras & Janet K. Allen, 2004. "Applying Ecological Input‐Output Flow Analysis to Material Flows in Industrial Systems: Part II: Flow Metrics," Journal of Industrial Ecology, Yale University, vol. 8(1‐2), pages 69-91, January.
    9. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    10. Whipple, Stuart J. & Borrett, Stuart R. & Patten, Bernard C. & Gattie, David K. & Schramski, John R. & Bata, Seth A., 2007. "Indirect effects and distributed control in ecosystems: Comparative network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 1-17.
    11. Christian, Robert R. & Brinson, Mark M. & Dame, James K. & Johnson, Galen & Peterson, Charles H. & Baird, Daniel, 2009. "Ecological network analyses and their use for establishing reference domain in functional assessment of an estuary," Ecological Modelling, Elsevier, vol. 220(22), pages 3113-3122.
    12. Baird, Dan & Fath, Brian D. & Ulanowicz, Robert E. & Asmus, Harald & Asmus, Ragnhild, 2009. "On the consequences of aggregation and balancing of networks on system properties derived from ecological network analysis," Ecological Modelling, Elsevier, vol. 220(23), pages 3465-3471.
    13. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
    14. Reid Bailey & Janet K. Allen & Bert Bras, 2004. "Applying Ecological Input‐Output Flow Analysis to Material Flows in Industrial Systems: Part I: Tracing Flows," Journal of Industrial Ecology, Yale University, vol. 8(1‐2), pages 45-68, January.
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