Technology-Driven Conservation of Biodiversity: Modelling and Solving the USFWS Operation Berserk Project

Yu Cheng

doi:10.54097/jrzds919

Authors

Yu Cheng

DOI:

https://doi.org/10.54097/jrzds919

Keywords:

Remote Sensing Technology, Illegal Wildlife Trade, Bayesian Linear Regression Model.

Abstract

This paper is based on a modern technology and data-driven approach to modeling and solving the problem that the U.S. Fish and Wildlife Service (USFWS) should select for the "Operation Rush" project. The importance of modern science and technology, such as remote sensing, big data, and artificial intelligence, in combating illegal wildlife trade is highlighted through literature support and team analysis. The project is centred on drone and remote sensing technologies, and uses cloud computing to transmit and process wildlife data in real time to support the conservation of biodiversity and the fight against illegal wildlife trade. This paper proposes a match between the work of Operation Frenzy and the USFWS, and highlights science, technology and innovation as the key to the link between the two. A Bayesian linear regression model was used to quantify and validate the strong positive correlation between the project objectives and the USFWS strategic plan objectives. The strong correlation between predicted and true values was reconfirmed through the analysis of Pearson correlation coefficients.

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References

[1] DING Chen-No. Study on the illegal elements of the offence of endangering precious and endangered wild animals[D]. Southwest University of Finance and Economics, 2023.

[2] HU Shijia, YANG Jianchun, SHI Haitao. A study on the trade status of turtles and soft-shelled turtle in Guangzhou market in the past 10 years [J]. Journal of Zoology, 2023, 58 (01): 94-107.

[3] Notice of the People's Government of Wuhu City on the Announcement of the List of Administrative Permit Matters and the List of Municipal Government Rights and Responsibilities and the List of Municipal Public Services and the Catalogue of the List of Municipal Administrative Powers and Intermediary Services (2022 Edition) in Wuhu City [J]. Bulletin of the People's Government of Wuhu City, 2022, (13): 3-312.

[4] KONG Fei, ZHAO Hu, WANG Qijun, et al. A case study of illegal exploitation of turtle and soft-shelled turtle resources in Shaanxi Province [J]. Journal of Wildlife, 2022, 43 (04): 1059-1064.

[5] WU Yonglin, JIAO Nan, ZHU Jing, et al. Understanding and Reference to the Administrative Penalty Case of Hainan Lingao Yinghai Shipping Co. Ltd. v. Sansha City Fishery Administration Detachment - Administrative Organs Have the Right to Impose Administrative Penalties on Perpetrators for Illegal Transportation of Corals and Tridacna Clams in the Appendices of CITES in accordance with the Law [J]. People's Justice, 2022, (26): 24-27.

[6] WANG Hucheng, DU Wei, WANG Fei, et al. Challenges and Responses of Wildlife Protection Administrative Law Enforcement under the New Judicial Interpretation [J]. Jiangsu Forestry Science and Technology, 2022, 49 (04): 53-56.

[7] LI Ying, JIANG Chaonan, LIU Xiaohui, et al. Analysis of illegal use of wildlife resources in Hebei Province and countermeasures [J]. Journal of Hebei Agricultural University (Social Science Edition), 2022, 24 (04): 68-76.

[8] Wang Luyao. Research on the damage compensation system of illegal hunting and fishing of wild animals [D]. Zhejiang Agriculture and Forestry University, 2022.

[9] Omifolaji K J. Assessment of spatio-temporal changes in transnational illegal trade in pangolin and other wildlife based on network data [D]. Beijing Forestry University, 2022.

[10] Liu, Lin-Xiang. Optimisation of China's wildlife conservation policy under the perspective of collaborative governance [D]. Shandong Institute of Business and Economics, 2022.