A TOPSIS-Based Study of State Agency Selection and Species Conservation for Wildlife Conservation

Authors

  • Ningyu Dai

DOI:

https://doi.org/10.54097/marn4x80

Keywords:

Information visualization, TOPSIS model, Descriptive statistical analysis, Wildlife conservation, Combating illicit trade.

Abstract

Illegal trade in wildlife has serious impacts on ecosystems, the world's environment and other aspects, including species endangerment and extinction, loss of biodiversity, ecosystem destruction, public health risks and illegal activities and crime. These impacts not only jeopardize the ecological balance and the ecosystem, but also pose a threat to human health and social stability. In order to select suitable countries for wildlife protection, this paper proposes five evaluation indicators: financial resources, human resources, technical support, professionalism and experience, and international influence, and constructs a five-dimensional illegal animal trade evaluation model based on the tosis model. By calculating the data of each region, the regional changes of illegal wildlife trade were demonstrated by using spatial geographic information visualization tools. The results show that China and Indonesia are the most frequent and typical regions of illegal wildlife trade. Then, through descriptive statistical analysis, the data showed that the most illegally traded species were Reptilia, Actinopteri, and Anyhozoa. The above results indicate that there is an urgent need to protect wildlife in China and Indonesia. Also, the international community needs to make joint efforts to strengthen regulation and law enforcement to combat illegal trade in wildlife.

Downloads

Download data is not yet available.

References

Fan Z. Strengthening wildlife conservation to promote ecological balance [J]. Agricultural Disaster Research, 2023, 13 (11): 31-33.

Zhang Weijia. Destruction of wild bird resources crime investigation reality dilemma and its countermeasures - Lianyungang City, Jiangsu Province as an example [J]. Journal of Sichuan Police Academy, 2021, 33 (06): 119-125.

Avery Avery Think Tank. The hidden wildlife online trade, how many more culls are happening? [EB/OL]. (2016-10-11) [2023-05-01]. http://iricn.com/research/report/291.html.

Omifolaji K J. Spatio-temporal variation assessment of transnational illegal trade in pangolin and other wildlife based on network data [D]. Beijing Forestry University, 2022.

Lang Lin. On the Improvement of Wildlife Protection Legislation in China [D]. Hebei University of Economics and Trade, 2022.

Yang Bianxuan. The third largest illegal trade in the world--wildlife trade [J]. Environmental Herald, 1994, (01): 38-39.

Yang Ao. An analysis of Indonesia and Vietnam's trade with China [J]. Foreign Economic and Trade Practice, 2022, (01): 32-37.

Strictly preventing the introduction of African swine fever in Indonesia [J]. China Animal Husbandry, 2020, (04): 77.

Li Hanqing. Research on the causes of systemic risk of China's direct investment in Indonesia [D]. Peking University, 2021.

CHEN Jinfeng, WU Xinjing, LIN Hai et al. Comparative analysis of the List of Wild Animals under State Key Conservation and other conservation lists [J]. Biodiversity, 2023, 31 (06): 190-202.

Experts call for revision of wildlife protection law to completely ban wildlife trade [J]. Livestock Environment, 2020, (04): 1.

SHANG Fangchao, GUO Xingxing. Protecting wildlife and mitigating climate change [J]. Ecological Economy, 2024, 40 (02): 5-8.

Downloads

Published

18-06-2024

How to Cite

Dai, N. (2024). A TOPSIS-Based Study of State Agency Selection and Species Conservation for Wildlife Conservation. Highlights in Science, Engineering and Technology, 99, 376-382. https://doi.org/10.54097/marn4x80