Academic Journal of Computing & Information Science, 2024, 7(9); doi: 10.25236/AJCIS.2024.070909.
Cheng Gao1, Xu Chen1, Hongrong Fan1, Shiqi Peng2
1School of Computer Science, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China
2School of Commercial, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China
Until now illegal wildlife trade has caused great ecological and economic losses. Thus, this study simulates the possible effects of a group's behavior on the reduction of competition in illegal wildlife trade. Firstly, enough data can be found form the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Secondly, a dynamic mathematical model can simulate the dynamic changes caused by different aspects of a group's behavior in simulating illegal wildlife trade. Finally, a combined intervention model can simulate future trends in changes in trade volumes following the intervention of these behaviors. Probabilistic models and sensitivity analyses demonstrate the good stability and robustness of the model. This study helps to better deepen the understanding of different groups in reducing illegal trade in flora and fauna, thus mobilizing more people to participate in the environmental cause.
Dynamic Mathematical Model, Time Series, Probabilistic Model, Sensitivity Analysis
Cheng Gao, Xu Chen, Hongrong Fan, Shiqi Peng. Research on Reducing Illegal Wildlife Trade Based on Combined Dynamic Mathematical Model and Combined Intervention Model. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 9: 67-73. https://doi.org/10.25236/AJCIS.2024.070909.
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