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

Author

Listed:
  • 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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    2. Mariam I. Adeoba & Thanyani Pandelani & Harry Ngwangwa & Tracy Masebe, 2025. "The Role of Artificial Intelligence in Sustainable Ocean Waste Tracking and Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 17(9), pages 1-31, April.
    3. Kadukothanahally Nagaraju Shivaprakash & Niraj Swami & Sagar Mysorekar & Roshni Arora & Aditya Gangadharan & Karishma Vohra & Madegowda Jadeyegowda & Joseph M. Kiesecker, 2022. "Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India," Sustainability, MDPI, vol. 14(12), pages 1-20, June.

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