skip to main content
10.1145/3358528.3358530acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbdtConference Proceedingsconference-collections
research-article

Blockchain-based Wildlife Data-Management Framework for the WWF Bison Rewilding Project

Authors Info & Claims
Published:28 August 2019Publication History

ABSTRACT

Mass digitalization, remote sensors, and flexible database solutions encourage organizations to look closer at new technologies as an efficient management tool. In these conditions, the leveraging of blockchain and wireless tracking devices represents a field of far-going technology development and can be used for wildlife data management. The purpose of this research is to introduce the applicable solution for the case provided by the World Wildlife Fund (WWF) regarding bison population rewilding in Eastern Europe. The goal of the paper is to create a data management framework, which combines information into one multi-integrated system visible to stakeholders. The paper theoretically extends the existing MIT OPAL blockchain-based model, which was implemented for the WWF bison rewilding project, showing a solution from managerial and technical perspectives. The proposed platform is able to provide secure geospatial wildlife data, increase intention to make donations to the project and facilitate the conditions for a better tourism experience. We found that such a system can have a positive effect on the project's cost reduction, flexibility in redirecting manpower within the region and become a useful tool for decision-makers.

References

  1. Kshetri N. Blockchain's roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 2017, 41(10): 1027--1038.Google ScholarGoogle ScholarCross RefCross Ref
  2. Root-Bernstein M., Gooden J., Boyes A. Rewilding in practice: Projects and policy. Geoforum, 2018, 97: 292--304.Google ScholarGoogle ScholarCross RefCross Ref
  3. Frey R., A Miller G., Ilic A., Fleisch E., Pentland A. Wild Animals in Daily Life. 2017.Google ScholarGoogle Scholar
  4. Cooke S.J., Nguyen V.M., Kessel S.T., Hussey N.E., Young N., Ford A.T. Troubling issues at the frontier of animal tracking for conservation and management. Conservation Biology, 2017, 31(5): 1205--1207.Google ScholarGoogle ScholarCross RefCross Ref
  5. Frey R., Hardjono T., Smith C., Erhardt K., Pentland A. "Secure Sharing of Geospatial Wildlife Data" in GeoRich'17: Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, May 2017.Google ScholarGoogle Scholar
  6. Noss R. The Wildlands Project land conservation strategy. Wild Earth (special issue 1). 1992, (10): 25.Google ScholarGoogle Scholar
  7. Noss R. & Cooperrider A. Saving nature's legacy. Island Press., 1994.Google ScholarGoogle Scholar
  8. Veríssimo D., Vaughan G., Ridout M., Waterman C., Macmillan D., Smith R.J. Increased conservation marketing effort has major fundraising benefits for even the least popular species. Biological Conservation, 2017, 211: 95--101.Google ScholarGoogle ScholarCross RefCross Ref
  9. Colléony A., Clayton S., Couvet D., Saint Jalme M., Prévot A. -C. Human preferences for species conservation: Animal charisma trumps endangered status. Biological Conservation, 2017, 206: 263--269.Google ScholarGoogle ScholarCross RefCross Ref
  10. Tapscott D. & Tapscott A. Blockchain Revolution - How the Technology Behind Bitcoin and Other Cryptocurrencies is Changing the. Portfolio Penguin, 2018.Google ScholarGoogle Scholar
  11. Morabito V. Business Innovation Through Blockchain. Springer International Publishing, 2017.Google ScholarGoogle ScholarCross RefCross Ref
  12. Zhao J.L., Fan S., Yan J. Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial Innovation, 2016, 2(1): 28.Google ScholarGoogle ScholarCross RefCross Ref
  13. Shreedhar G. & Mourato S. Experimental Evidence on the Impact of Biodiversity Conservation Videos on Charitable Donations. Ecological Economics, 2019, 158: 180--193.Google ScholarGoogle ScholarCross RefCross Ref
  14. Messenger S. Cyber-poachers Hack GPS Collar Data to Pinpoint Tigers. TreeHugger. MNN Holdings LLC. 2013.Google ScholarGoogle Scholar
  15. Ingber S. "Cyberpoaching" Feared as New Threat to Rare Wildlife. National Geographic. National Geographic. 2013.Google ScholarGoogle Scholar

Index Terms

  1. Blockchain-based Wildlife Data-Management Framework for the WWF Bison Rewilding Project

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICBDT '19: Proceedings of the 2nd International Conference on Big Data Technologies
      August 2019
      382 pages
      ISBN:9781450371926
      DOI:10.1145/3358528

      Copyright © 2019 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 August 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader