IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i7p8312-8331d52759.html
   My bibliography  Save this article

Avian Conservation Areas as a Proxy for Contaminated Soil Remediation

Author

Listed:
  • Wei-Chih Lin

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Yu-Pin Lin

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Johnathen Anthony

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Tsun-Su Ding

    (School of Forestry and Resource Conservation, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

Abstract

Remediation prioritization frequently falls short of systematically evaluating the underlying ecological value of different sites. This study presents a novel approach to delineating sites that are both contaminated by any of eight heavy metals and have high habitat value to high-priority species. The conservation priority of each planning site herein was based on the projected distributions of eight protected bird species, simulated using 900 outputs of species distribution models (SDMs) and the subsequent application of a systematic conservation tool. The distributions of heavy metal concentrations were generated using a geostatistical joint-simulation approach. The uncertainties in the heavy metal distributions were quantified in terms of variability among 1000 realization sets. Finally, a novel remediation decision-making approach was presented for delineating contaminated sites in need of remediation based on the spatial uncertainties of multiple realizations and the priorities of conservation areas. The results thus obtained demonstrate that up to 42% of areas of high conservation priority are also contaminated by one or more of the heavy metal contaminants of interest. Moreover, as the proportion of the land for proposed remediated increased, the projected area of the pollution-free habitat also increased. Overall uncertainty, in terms of the false positive contamination rate, also increased. These results indicate that the proposed decision-making approach successfully accounted for the intrinsic trade-offs among a high number of pollution-free habitats, low false positive rates and robustness of expected decision outcomes.

Suggested Citation

  • Wei-Chih Lin & Yu-Pin Lin & Johnathen Anthony & Tsun-Su Ding, 2015. "Avian Conservation Areas as a Proxy for Contaminated Soil Remediation," IJERPH, MDPI, vol. 12(7), pages 1-20, July.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:7:p:8312-8331:d:52759
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/7/8312/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/12/7/8312/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brett Korteling & Suraje Dessai & Zoran Kapelan, 2013. "Erratum to: Using Information-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(4), pages 1173-1174, March.
    2. Brett Korteling & Suraje Dessai & Zoran Kapelan, 2013. "Using Information-Gap Decision Theory for Water Resources Planning Under Severe Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(4), pages 1149-1172, March.
    3. Anthony R. Ives & Bradley J. Cardinale, 2004. "Food-web interactions govern the resistance of communities after non-random extinctions," Nature, Nature, vol. 429(6988), pages 174-177, May.
    4. Xiao-Ni Huo & Hong Li & Dan-Feng Sun & Lian-Di Zhou & Bao-Guo Li, 2012. "Combining Geostatistics with Moran’s I Analysis for Mapping Soil Heavy Metals in Beijing, China," IJERPH, MDPI, vol. 9(3), pages 1-23, March.
    Full references (including those not matched with items on IDEAS)

    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. T. Chatzivasileiadis & F. Estrada & M. W. Hofkes & R. S. J. Tol, 2019. "Systematic Sensitivity Analysis of the Full Economic Impacts of Sea Level Rise," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1183-1217, March.
    2. N. Graveline & B. Aunay & J. Fusillier & J. Rinaudo, 2014. "Coping with Urban & Agriculture Water Demand Uncertainty in Water Management Plan Design: the Interest of Participatory Scenario Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3075-3093, August.
    3. A. Alvarado & M. Esteller & E. Quentin & J. Expósito, 2016. "Multi-Criteria Decision Analysis and GIS Approach for Prioritization of Drinking Water Utilities Protection Based on their Vulnerability to Contamination," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1549-1566, March.
    4. Pongkijvorasin, Sittidaj & Burnett, Kimberly & Wada, Christopher, 2018. "Joint Management of an Interconnected Coastal Aquifer and Invasive Tree," Ecological Economics, Elsevier, vol. 146(C), pages 125-135.
    5. C. Dai & Y. Cai & Y. Liu & W. Wang & H. Guo, 2015. "A Generalized Interval Fuzzy Chance-Constrained Programming Method for Domestic Wastewater Management Under Uncertainty – A Case Study of Kunming, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3015-3036, July.
    6. A. Alvarado & M. V. Esteller & E. Quentin & J. L. Expósito, 2016. "Multi-Criteria Decision Analysis and GIS Approach for Prioritization of Drinking Water Utilities Protection Based on their Vulnerability to Contamination," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1549-1566, March.
    7. Tom Roach & Zoran Kapelan & Ralph Ledbetter, 2018. "A Resilience-Based Methodology for Improved Water Resources Adaptation Planning under Deep Uncertainty with Real World Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2013-2031, April.
    8. Jinjin Gu & Mo Li & Ping Guo & Guohe Huang, 2016. "Risk Assessment for Ecological Planning of Arid Inland River Basins Under Hydrological and Management Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1415-1431, March.
    9. Mashor Housh & Tomer Aharon, 2021. "Info-Gap Models for Optimal Multi-Year Management of Regional Water Resources Systems under Uncertainty," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    10. Jordehi, A. Rezaee, 2018. "How to deal with uncertainties in electric power systems? A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 145-155.
    11. Lulseged Tamene & Quang Le & Paul Vlek, 2014. "A Landscape Planning and Management Tool for Land and Water Resources Management: An Example Application in Northern Ethiopia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 407-424, January.
    12. Moallemi, Enayat A. & Elsawah, Sondoss & Ryan, Michael J., 2020. "Strengthening ‘good’ modelling practices in robust decision support: A reporting guideline for combining multiple model-based methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 175(C), pages 3-24.
    13. Tiku T. Tanyimboh & Anna M. Czajkowska, 2018. "Joint Entropy Based Multi-Objective Evolutionary Optimization of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2569-2584, June.
    14. Jean P. Palutikof & Roger B. Street & Edward P. Gardiner, 2019. "Decision support platforms for climate change adaptation: an overview and introduction," Climatic Change, Springer, vol. 153(4), pages 459-476, April.
    15. Jinjin Gu & Mo Li & Ping Guo & Guohe Huang, 2016. "Risk Assessment for Ecological Planning of Arid Inland River Basins Under Hydrological and Management Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1415-1431, March.
    16. Móréh, Ágnes & Endrédi, Anett & Piross, Sándor Imre & Jordán, Ferenc, 2021. "Topology of additive pairwise effects in food webs," Ecological Modelling, Elsevier, vol. 440(C).
    17. Torres-Alruiz, Maria Daniela & Rodríguez, Diego J., 2013. "A topo-dynamical perspective to evaluate indirect interactions in trophic webs: New indexes," Ecological Modelling, Elsevier, vol. 250(C), pages 363-369.
    18. Katarzyna Kocur-Bera & Jacek Rapiński & Monika Siejka & Przemysław Leń & Anna Małek, 2023. "Potential of an Area in Terms of Pro-Climate Solutions in a Land Consolidation Project," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    19. Canning, A.D. & Death, R.G., 2017. "Trophic cascade direction and flow determine network flow stability," Ecological Modelling, Elsevier, vol. 355(C), pages 18-23.
    20. Binwu Wang & Hong Li & Danfeng Sun, 2014. "Social-Ecological Patterns of Soil Heavy Metals Based on a Self-Organizing Map (SOM): A Case Study in Beijing, China," IJERPH, MDPI, vol. 11(4), pages 1-21, March.

    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:gam:jijerp:v:12:y:2015:i:7:p:8312-8331:d:52759. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.