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Unmasking The Illegal Trade: How Emerging Technologies are Revolutionizing Wildlife Forensics

Debasis Bora, Tahmima Aktar Laskar, Kankana Singha

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


Journal of Clinical Forensic Sciences 02(02):p 81-85, JULY – DEC 2024. | DOI: https://doi.org/10.21088/jcfs.3107.6874.2224.6

How Cite This Article:

Debasis Bora, Tahmima Aktar Laskar, Kankana Singha et al. Unmasking The Illegal Trade: How Emerging Technologies are Revolutionizing Wildlife Forensics. Jr of Clin Forensic Sci. 2024;2(2):81-85

Timeline

Received : September 16, 2024         Accepted : November 13, 2024          Published : December 30, 2024

Abstract

Forensic science provides a diverse toolkit for investigating wildlife crimes, including DNA analysis, isotopic fingerprinting, morphological assessment, and chemical profiling. These approaches enable species identification, geographic origin determination, supply chain traceability, and the establishment of links to criminal activity. By delving into key concepts such as forensic techniques, challenges, ethical considerations, and future directions, this paper sheds light on the complexities of wildlife crime investigations and emphasizes the importance of interdisciplinary collaboration in conservation enforcement. Challenges in wildlife forensic investigations include sample preservation, inadequate databases for species identification, a lack of defined techniques, and the requirement for specialized knowledge. Overcoming these obstacles necessitates investment in research, technology, and capacity building within law enforcement and conservation organizations. The future of animal forensics depends on technological improvements, interdisciplinary collaboration, and more international cooperation. Portable forensic tools, big data analytics, genetic databases, and artificial intelligence (AI) applications show promise for boosting detection capabilities and prosecution rates. Additionally, creating relationships among scientists, law enforcement agencies, lawmakers, and communities is critical for long-term conservation success.


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Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

The authors report no conflicts of interest in this work.


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Cite this article

Debasis Bora, Tahmima Aktar Laskar, Kankana Singha et al. Unmasking The Illegal Trade: How Emerging Technologies are Revolutionizing Wildlife Forensics. Jr of Clin Forensic Sci. 2024;2(2):81-85


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


Received Accepted Published
September 16, 2024 November 13, 2024 December 30, 2024

DOI: https://doi.org/10.21088/jcfs.3107.6874.2224.6

Keywords

WildlifeCrimeForensicIllegal tradeEndangered speciesDNA

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Timeline


Received September 16, 2024
Accepted November 13, 2024
Published December 30, 2024

licence


Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


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