IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v455y2021ics0304380021001952.html
   My bibliography  Save this article

Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis

Author

Listed:
  • Lu, Jingzhao
  • Lu, Hongwei
  • Wang, Weipeng
  • Feng, SanSan
  • Lei, Kaiwen

Abstract

In this study, a grid-based network environ analysis (FEM-NEA) framework was developed to identify the ecological risks of the internal components within a landscape scale mining ecosystem with multiple land types. In this framework, an information-based network analysis is applied for addressing ecological risk assessments (ERA) based on control allocation (CA) and energy flow matrix, which can quantificationally reflect the relationship between soil ecosystems and ecological communities. In order to improve the computational accuracy and efficiency, the FEM and information-based network analysis are combined to further quantify the flow risk among different components within each grid as well as the whole ecosystem. Compared with the existing NEA-ERA model, various risk factors and receptors are compatible with the proposed FEM-NEA framework and both direct and indirect effects can be taken into consideration altogether. By taking an abandoned mining area of the Yanshan mountain as an example, risk propagation between all component of the ecosystem concerning both direct risk and integral risk dynamic were quantified. The results showed that contaminated soil normally poses risks to surrounding ecological environment, thereby affecting local vegetation and microorganisms. Afterward, the risks are passed throughout the ecosystem, forming threats to herbivores and predators via the food chain. Here, the probability of risk is ranked as follows: village> farmland> bare land> woodland. Moreover, the influence of input energy and data attributes on the prediction results are also discussed. When the input energy rises by 50%, the control allocation (CA) from herbivores to soil microorganisms correspondingly increases by 1.00% but the value from herbivores to carnivores decreases by 0.71%. This highlights the robustness of the proposed ecological risk assessment framework (FEM-NEA). In general, the FEM-NEA results not only presents the macro-scale risk distribution caused by the interaction of each component, but also reflects the potential migration direction of the risk center. Findings can provide a new perspective and method for assessing ecological risks and also help support remediation techniques for contaminated areas with different land types.

Suggested Citation

  • Lu, Jingzhao & Lu, Hongwei & Wang, Weipeng & Feng, SanSan & Lei, Kaiwen, 2021. "Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis," Ecological Modelling, Elsevier, vol. 455(C).
    • Handle: RePEc:eee:ecomod:v:455:y:2021:i:c:s0304380021001952
    DOI: 10.1016/j.ecolmodel.2021.109633
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021001952
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109633?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mao, Xufeng & Cui, Lijuan & Wang, Changhai, 2013. "Exploring the hydrologic relationships in a swamp-dominated watershed—A network-environ-analysis based approach," Ecological Modelling, Elsevier, vol. 252(C), pages 273-279.
    2. 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.
    3. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    4. Tang, P.Z. & Liu, J.Z. & Lu, H.W. & Wang, Z. & He, L., 2017. "Information-based Network Environ Analysis for Ecological Risk Assessment of heavy metals in soils," Ecological Modelling, Elsevier, vol. 344(C), pages 17-28.
    5. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    6. Fath, Brian D. & Scharler, Ursula M. & Ulanowicz, Robert E. & Hannon, Bruce, 2007. "Ecological network analysis: network construction," Ecological Modelling, Elsevier, vol. 208(1), pages 49-55.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tingyu Fan & Jinhong Pan & Xingming Wang & Shun Wang & Akang Lu, 2022. "Ecological Risk Assessment and Source Apportionment of Heavy Metals in the Soil of an Opencast Mine in Xinjiang," IJERPH, MDPI, vol. 19(23), pages 1-14, November.
    2. Xueqing Wang & Zhongyi Ding & Shaoliang Zhang & Huping Hou & Zanxu Chen & Qinyu Wu, 2022. "Spatial–Temporal Multivariate Correlation Analysis of Ecosystem Services and Ecological Risk in Areas of Overlapped Cropland and Coal Resources in the Eastern Plains, China," Land, MDPI, vol. 12(1), pages 1-16, December.
    3. Ana Moldovan & Anamaria Iulia Török & Eniko Kovacs & Oana Cadar & Ionuț Cornel Mirea & Valer Micle, 2022. "Metal Contents and Pollution Indices Assessment of Surface Water, Soil, and Sediment from the Arieș River Basin Mining Area, Romania," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    2. Hines, David E. & Borrett, Stuart R., 2014. "A comparison of network, neighborhood, and node levels of analyses in two models of nitrogen cycling in the Cape Fear River Estuary," Ecological Modelling, Elsevier, vol. 293(C), pages 210-220.
    3. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    4. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    5. 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.
    6. Yang, Jin & Chen, Bin, 2016. "Energy–water nexus of wind power generation systems," Applied Energy, Elsevier, vol. 169(C), pages 1-13.
    7. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    8. Schramski, J.R. & Patten, B.C. & Kazanci, C. & Gattie, D.K. & Kellam, N.N., 2009. "The Reynolds transport theorem: Application to ecological compartment modeling and case study of ecosystem energetics," Ecological Modelling, Elsevier, vol. 220(22), pages 3225-3232.
    9. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    10. Yang, Zhifeng & Mao, Xufeng, 2011. "Wetland system network analysis for environmental flow allocations in the Baiyangdian Basin, China," Ecological Modelling, Elsevier, vol. 222(20), pages 3785-3794.
    11. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2015. "Ecological network analysis of an industrial symbiosis system: A case study of the Shandong Lubei eco-industrial park," Ecological Modelling, Elsevier, vol. 306(C), pages 174-184.
    12. Coskun, Huseyin, 2018. "Static Ecological System Measures," OSF Preprints g4xzt, Center for Open Science.
    13. 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.
    14. Bata, Seth A. & Borrett, Stuart R. & Patten, Bernard C. & Whipple, Stuart J. & Schramski, John R. & Gattie, David K., 2007. "Equivalence of throughflow- and storage-based environs," Ecological Modelling, Elsevier, vol. 206(3), pages 400-406.
    15. Borrett, Stuart R. & Moody, James & Edelmann, Achim, 2014. "The rise of Network Ecology: Maps of the topic diversity and scientific collaboration," Ecological Modelling, Elsevier, vol. 293(C), pages 111-127.
    16. Li, Y. & Yang, Z.F., 2011. "Quantifying the sustainability of water use systems: Calculating the balance between network efficiency and resilience," Ecological Modelling, Elsevier, vol. 222(10), pages 1771-1780.
    17. Zhang, Xiaolin & Zhang, Yan & Wang, Yifan & Fath, Brian D., 2021. "Research progress and hotspot analysis for reactive nitrogen flows in macroscopic systems based on a CiteSpace analysis," Ecological Modelling, Elsevier, vol. 443(C).
    18. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    19. Jordán, Ferenc & Okey, Thomas A. & Bauer, Barbara & Libralato, Simone, 2008. "Identifying important species: Linking structure and function in ecological networks," Ecological Modelling, Elsevier, vol. 216(1), pages 75-80.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:455:y:2021:i:c:s0304380021001952. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.