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A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation

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  • Diane A. Isabelle

    (Sprott School of Business, Carleton University, Ottawa, ON K1S 5B6, Canada
    Department of Business Management, School of Management, College of Business and Economics, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg 2006, South Africa)

  • Mika Westerlund

    (Sprott School of Business, Carleton University, Ottawa, ON K1S 5B6, Canada)

Abstract

The scholarly literature on the links between Artificial Intelligence and the United Nations’ Sustainable Development Goals is burgeoning as climate change and the biotic crisis leading to mass extinction of species are raising concerns across the globe. With a focus on Sustainable Development Goals 14 (Life below Water) and 15 (Life on Land), this paper explores the opportunities of Artificial Intelligence applications in various domains of wildlife, ocean and land conservation. For this purpose, we develop a conceptual framework on the basis of a comprehensive review of the literature and examples of Artificial Intelligence-based approaches to protect endangered species, monitor and predict animal behavior patterns, and track illegal or unsustainable wildlife trade. Our findings provide scholars, governments, environmental organizations, and entrepreneurs with a much-needed taxonomy and real-life examples of Artificial Intelligence opportunities for tackling the grand challenge of rapidly decreasing biological diversity, which has severe implications for global food security, nature, and humanity.

Suggested Citation

  • Diane A. Isabelle & Mika Westerlund, 2022. "A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:1979-:d:745598
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    References listed on IDEAS

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    1. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    2. Caroline S. Wagner & Travis A. Whetsell & Loet Leydesdorff, 2017. "Growth of international collaboration in science: revisiting six specialties," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1633-1652, March.
    3. Diane A Isabelle & Louise A Heslop, 2011. "Managing for success in international scientific collaborations: views from Canadian government senior science managers," Science and Public Policy, Oxford University Press, vol. 38(5), pages 349-364, June.
    4. Roberta Kwok, 2019. "AI empowers conservation biology," Nature, Nature, vol. 567(7746), pages 133-134, March.
    5. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Oecd, 2021. "Tools for trustworthy AI: A framework to compare implementation tools for trustworthy AI systems," OECD Digital Economy Papers 312, OECD Publishing.
    7. Hanson, Paul C. & Stillman, Aviah B. & Jia, Xiaowei & Karpatne, Anuj & Dugan, Hilary A. & Carey, Cayelan C. & Stachelek, Joseph & Ward, Nicole K. & Zhang, Yu & Read, Jordan S. & Kumar, Vipin, 2020. "Predicting lake surface water phosphorus dynamics using process-guided machine learning," Ecological Modelling, Elsevier, vol. 430(C).
    8. Chiara Mio & Silvia Panfilo & Benedetta Blundo, 2020. "Sustainable development goals and the strategic role of business: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3220-3245, December.
    9. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    10. Tobias Jensen & Frederik Seerup Hass & Mohammad Seam Akbar & Philip Holm Petersen & Jamal Jokar Arsanjani, 2020. "Employing Machine Learning for Detection of Invasive Species using Sentinel-2 and AVIRIS Data: The Case of Kudzu in the United States," Sustainability, MDPI, vol. 12(9), pages 1-16, April.
    11. Yi Cheng & Haimeng Liu & Shaobin Wang & Xuegang Cui & Qirui Li, 2021. "Global Action on SDGs: Policy Review and Outlook in a Post-Pandemic Era," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
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    2. Shivam Gupta & Jazmin Campos Zeballos & Gema del Río Castro & Ana Tomičić & Sergio Andrés Morales & Maya Mahfouz & Isimemen Osemwegie & Vicky Phemia Comlan Sessi & Marina Schmitz & Nady Mahmoud & Mnen, 2023. "Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development," Sustainability, MDPI, vol. 15(8), pages 1-37, April.

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