Proceedings of the World Anthropology Congress, 2023 (WAC 2023)

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Preserving Biodiversity Assisted by Predictive Maintenance: Managing Ecological Displacement

Authors
Diya Sarkar1, *, Prafulla C. Mishra2
1Phd Scholar, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India
2Professor, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India
*Corresponding author. Email: diya.nusrl@gmail.com
Corresponding Author
Diya Sarkar
Available Online 31 December 2023.
DOI
10.2991/978-2-38476-192-0_15How to use a DOI?
Keywords
Ecosystem; Environment; Digital Sustainability Solutions; Digital Twin; Predictive Maintenance
Abstract

The most remarkable trait of the breathing world is its diversity. Biodiversity refers to the variety of life on Earth, encompassing all forms of ecosystems and the ecological complexes that comprise them, as well as the diversity within and between species as well as across different ecosystems. Traditional wisdom is being eroded at the same time that living natural resources are being depleted, making it difficult to preserve biodiversity, as the ‘ecosystem people’ transformed into ‘biosphere people’ which further is transforming into ecological refugees. The critical urge for conservation of biological diversity amid climatic disorders, environmental damages etc., calls for varied national and international measures and the current digital technologies (sensors, drones, satellites) offer especially good opportunities to realize the Sustainable Development Goals (SDGs). The research places an exploration of how predictive maintenance technologies may essentially enhance the restoration and protection of the biodiversity. The present study shall try to focus upon the burning issues of Biodiversity that operates at differential levels in an ecosystem. Conclusively, suggesting the strategies and the discretions of techno-legal environment to preserve the same.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the World Anthropology Congress, 2023 (WAC 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2023
ISBN
978-2-38476-192-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-192-0_15How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Diya Sarkar
AU  - Prafulla C. Mishra
PY  - 2023
DA  - 2023/12/31
TI  - Preserving Biodiversity Assisted by Predictive Maintenance: Managing Ecological Displacement
BT  - Proceedings of the World Anthropology Congress, 2023 (WAC 2023)
PB  - Atlantis Press
SP  - 139
EP  - 148
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-192-0_15
DO  - 10.2991/978-2-38476-192-0_15
ID  - Sarkar2023
ER  -