Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria

Ezinne Okoroafor; Ikpong Sunday Umo; Ifeanyi Gerry Ukwe

doi:doi:10.11648/j.ijees.20240904.12

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Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria

Ezinne Okoroafor, Ikpong Sunday Umo^*

, Ifeanyi Gerry Ukwe

Published in International Journal of Energy and Environmental Science (Volume 9, Issue 4)

Received: 31 July 2024 Accepted: 2 September 2024 Published: 20 September 2024

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Abstract

The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.

Published in	International Journal of Energy and Environmental Science (Volume 9, Issue 4)
DOI	10.11648/j.ijees.20240904.12
Page(s)	79-85
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Species Monitoring, Conservation, Biodiversity Loss, Hotspot

References

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APA Style

Okoroafor, E., Umo, I. S., Ukwe, I. G. (2024). Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. International Journal of Energy and Environmental Science, 9(4), 79-85. https://doi.org/10.11648/j.ijees.20240904.12

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ACS Style

Okoroafor, E.; Umo, I. S.; Ukwe, I. G. Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. Int. J. Energy Environ. Sci. 2024, 9(4), 79-85. doi: 10.11648/j.ijees.20240904.12

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AMA Style

Okoroafor E, Umo IS, Ukwe IG. Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. Int J Energy Environ Sci. 2024;9(4):79-85. doi: 10.11648/j.ijees.20240904.12

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@article{10.11648/j.ijees.20240904.12,
  author = {Ezinne Okoroafor and Ikpong Sunday Umo and Ifeanyi Gerry Ukwe},
  title = {Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria
},
  journal = {International Journal of Energy and Environmental Science},
  volume = {9},
  number = {4},
  pages = {79-85},
  doi = {10.11648/j.ijees.20240904.12},
  url = {https://doi.org/10.11648/j.ijees.20240904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20240904.12},
  abstract = {The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.
},
 year = {2024}
}

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TY  - JOUR
T1  - Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria

AU  - Ezinne Okoroafor
AU  - Ikpong Sunday Umo
AU  - Ifeanyi Gerry Ukwe
Y1  - 2024/09/20
PY  - 2024
N1  - https://doi.org/10.11648/j.ijees.20240904.12
DO  - 10.11648/j.ijees.20240904.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 79
EP  - 85
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20240904.12
AB  - The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.

VL  - 9
IS  - 4
ER  -

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Author Information

Ezinne Okoroafor

Department of Geography, Faculty of Social and Management Sciences, Alvan Ikoku Federal University of Education, Owerri, Nigeria

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Ikpong Sunday Umo

Department of Geography, Faculty of Social and Management Sciences, Alvan Ikoku Federal University of Education, Owerri, Nigeria

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http://orcid.org/0000-0002-8424-6889
Ifeanyi Gerry Ukwe

Department of Geography, Faculty of Social and Management Sciences, Alvan Ikoku Federal University of Education, Owerri, Nigeria

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APA Style

Okoroafor, E., Umo, I. S., Ukwe, I. G. (2024). Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. International Journal of Energy and Environmental Science, 9(4), 79-85. https://doi.org/10.11648/j.ijees.20240904.12

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ACS Style

Okoroafor, E.; Umo, I. S.; Ukwe, I. G. Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. Int. J. Energy Environ. Sci. 2024, 9(4), 79-85. doi: 10.11648/j.ijees.20240904.12

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AMA Style

Okoroafor E, Umo IS, Ukwe IG. Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria. Int J Energy Environ Sci. 2024;9(4):79-85. doi: 10.11648/j.ijees.20240904.12

Copy | Download

@article{10.11648/j.ijees.20240904.12,
  author = {Ezinne Okoroafor and Ikpong Sunday Umo and Ifeanyi Gerry Ukwe},
  title = {Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria
},
  journal = {International Journal of Energy and Environmental Science},
  volume = {9},
  number = {4},
  pages = {79-85},
  doi = {10.11648/j.ijees.20240904.12},
  url = {https://doi.org/10.11648/j.ijees.20240904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20240904.12},
  abstract = {The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Coupling the Power of Artificial Intelligence on Human and Climate Change Impacts Mitigation in Oban Biodiversity Hotspot Loss, Nigeria

AU  - Ezinne Okoroafor
AU  - Ikpong Sunday Umo
AU  - Ifeanyi Gerry Ukwe
Y1  - 2024/09/20
PY  - 2024
N1  - https://doi.org/10.11648/j.ijees.20240904.12
DO  - 10.11648/j.ijees.20240904.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 79
EP  - 85
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20240904.12
AB  - The current human efforts to grapples with the pressing challenges of human and climate change impacts on biodiversity loss hotspots have not yield the expected outcome, thereby creating an urgent need for a more sustainable and innovative approach to mitigate the threats from local to global level. This paper explores the various applications of Artificial Intelligence (AI) in monitoring endangered animal species and forest degradation within the Oban Division of the Cross River National Park with a view to boosting sustainable species conservation and averting biodiversity hotspot loss. It evaluates the key potentials and real benefits of AI-driven technologies in optimizing species protection and conservation efforts in the hotspot. It also explores the challenges and opportunities associated with the adoption of AI in biodiversity hotspot monitoring and conservation; and propose recommendations for future research and policy interventions. The paper adopts a qualitative method in reviewing existing studies of AI applications in species conservation and narrows it down to the Oban biodiversity hotspot. The results show that species in the study area are under serious human and nature-induced threats. Also, though AI possesses one of the most intuitive and environmental-friendly options for species monitoring and protection, its application in the protected hotspot is still at zero level due to limited capacity and awareness. We recommend AI driven capacity building via staff training, as well as provision of place-centered AI-technologies to aid accurate monitoring and avert species extinction in the Oban hotspot. Also, local content development and promotion of indigenous technologies, ideas, policies and programmes should be urgently prioritized.

VL  - 9
IS  - 4
ER  -

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