Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

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Wildlife under Siege: System Dynamics Modeling for Strategic Intervention

Authors
Yilin Jiang1, *, Zuocan Ying1, Shen’ao Xuan1
1College of Educational Science and Technology, Zhejiang University of Technology, Hangzhou, China
*Corresponding author. Email: zjut_jiangyilin@163.com
Corresponding Author
Yilin Jiang
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_31How to use a DOI?
Keywords
System Dynamics Model; Program Evaluation; Risk Analysis; Biodiversity Conservation
Abstract

The Illegal Wildlife Trade (IWT) poses a significant threat to global biodiversity, ecosystems, and public health, with an estimated annual value of $26.5 billion. This study introduces a methodology for evaluating and analyzing the risks associated with IWT reduction programs using a system dynamics approach. We present a program aimed at reducing IWT in the United States by 30% over five years, focusing on interventions in law enforcement, public education, international cooperation, and data sharing. Through the system dynamics model, we assess the potential effectiveness and identify critical determinants impacting program outcomes. Our findings, based on an illustrative example, indicate that the program could achieve a success rate of approximately 58.8798%. The study emphasizes the importance of enforcement and regulation as key factors influencing success. This methodology provides a data-driven framework for assessing wildlife conservation strategies and offers valuable insights for policymakers and conservationists. (Yilin Jiang and Zuocan Ying contributed equally to this work and should be considered co-first authors).

Copyright
© 2024 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 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_31How to use a DOI?
Copyright
© 2024 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  - Yilin Jiang
AU  - Zuocan Ying
AU  - Shen’ao Xuan
PY  - 2024
DA  - 2024/11/13
TI  - Wildlife under Siege: System Dynamics Modeling for Strategic Intervention
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 331
EP  - 341
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_31
DO  - 10.2991/978-94-6463-562-1_31
ID  - Jiang2024
ER  -