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Journal articles on the topic 'Illegal Wildlife Trade'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Dai, Ningyu. "A TOPSIS-Based Study of State Agency Selection and Species Conservation for Wildlife Conservation." Highlights in Science, Engineering and Technology 99 (June 18, 2024): 376–82. http://dx.doi.org/10.54097/marn4x80.

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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 internati

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2

Hobson, Keith A. "Isotopic applications assit in forensic tracking of illegally traded wildlife parts." Open Access Government 40, no. 1 (2023): 430–31. http://dx.doi.org/10.56367/oag-040-10785.

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Isotopic applications assit in forensic tracking of illegally traded wildlife parts Keith A. Hobson, a Research Scientist and Professor at Environment and Climate Change Canada, discusses the use of stable isotopes to trace the origins of animal parts in order to mitigate the illegal wildlife trade. As of 2022, the illegal global trade in tissues of (CITES and non-CITES listed) wildlife has been estimated to be on the order of $220 billion,(1) placing this practice among the top four of all global criminal enterprises. As ecosystems and the wild animals and plants they harbor come under increa

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3

Prakash, T. G. Supun Lahiru, W. A. A. D. Upul Indrajith, A. M. C. P. Aththanayaka, et al. "Illegal capture and internal trade of wild Asian elephants (Elephas maximus) in Sri Lanka." Nature Conservation 42 (November 3, 2020): 51–69. http://dx.doi.org/10.3897/natureconservation.42.57283.

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The illegal wildlife trade is considered one of the major threats to global biodiversity. Asian elephants (Elephas maximus) have been highly valued by various cultures for use in religious and spiritual contexts, as a draft animal, and more recently, as a tourist attraction. Thus, the demand for captive elephants is high. Wild Asian elephants are taken from the wild, often illegally, to maintain these captive populations due to the unviability of captive breeding programs. For the first time, we documented the extent to which wild elephants are being illegally captured and traded in Sri Lanka

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Prakash, T. G. Supun Lahiru, W. A. A. D. Upul Indrajith, A. M. C. P. Aththanayaka, et al. "Illegal capture and internal trade of wild Asian elephants (Elephas maximus) in Sri Lanka." Nature Conservation 42 (November 3, 2020): 51–69. https://doi.org/10.3897/natureconservation.42.57283.

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The illegal wildlife trade is considered one of the major threats to global biodiversity. Asian elephants (Elephas maximus) have been highly valued by various cultures for use in religious and spiritual contexts, as a draft animal, and more recently, as a tourist attraction. Thus, the demand for captive elephants is high. Wild Asian elephants are taken from the wild, often illegally, to maintain these captive populations due to the unviability of captive breeding programs. For the first time, we documented the extent to which wild elephants are being illegally captured and traded in Sri Lanka

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Symes, William S., Francesca L. McGrath, Madhu Rao, and L. Roman Carrasco. "The gravity of wildlife trade." Biological Conservation 218 (June 12, 2018): 268–76. https://doi.org/10.5281/zenodo.13532720.

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(Uploaded by Plazi for the Bat Literature Project) Unsustainable trade in wildlife products both legally and illegally is a leading cause of population declines and increased extinction risk in commercially valuable species. However due to the clandestine nature of illegal trade and paucity of overarching studies of legal trade our understanding on international trade networks is patchy. We develop a gravity–underreporting modelling framework to analyse and compare: (i) data on the legal trade in mammalian, avian and reptilian products from recorded by The Convention on the International Trade

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6

Symes, William S., Francesca L. McGrath, Madhu Rao, and L. Roman Carrasco. "The gravity of wildlife trade." Biological Conservation 218 (June 7, 2018): 268–76. https://doi.org/10.5281/zenodo.13532720.

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(Uploaded by Plazi for the Bat Literature Project) Unsustainable trade in wildlife products both legally and illegally is a leading cause of population declines and increased extinction risk in commercially valuable species. However due to the clandestine nature of illegal trade and paucity of overarching studies of legal trade our understanding on international trade networks is patchy. We develop a gravity–underreporting modelling framework to analyse and compare: (i) data on the legal trade in mammalian, avian and reptilian products from recorded by The Convention on the International Trade

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7

Wang, Zishu. "Study on the reduction of illegal wildlife trade based on data prediction." Highlights in Science, Engineering and Technology 100 (May 22, 2024): 89–94. http://dx.doi.org/10.54097/7ccacn65.

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Wildlife is an important part of all life and natural ecosystem on earth, and their living conditions are closely related to the sustainable development of human beings. The current disorderly use has made the illegal wildlife trade become the third largest crime in the world, seriously affecting biodiversity, ecosystem service function, global social order and public security, and wildlife welfare. In recent years, the illegal wildlife trade involves as much as $26.5 billion a year and is considered the fourth largest illegal trade in the world, protection of wildlife has become a top priorit

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8

Feng, Zhixuan, Xiuhua Zhao, and Hongze Li. "A study of projects to reduce illegal wildlife trade based on least squares and structural equation modeling approaches." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 377–82. http://dx.doi.org/10.54097/5bx56110.

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Illegal wildlife trade is a rapidly growing global threat to our environment and biodiversity[1]. Despite the establishment of wildlife protection organizations in various countries to combat this issue, the results have not been significant, and illegal wildlife trade continues to be rampant[2][3]. Urgent action is needed to curb this illegal activity.This paper analyzed the problems identified in the article and proposed the 'Stop Illegal Wildlife Trade' program. This paper evaluated the program's effectiveness using two data-driven methods: least squares (OLS) and structural equation modeli

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9

Warchol, Greg L. "The Transnational Illegal Wildlife Trade." Criminal Justice Studies 17, no. 1 (2004): 57–73. http://dx.doi.org/10.1080/08884310420001679334.

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10

Toledo, Luís Felipe, Marianne V. Asmüssen, and Jon Paul Rodríguez. "track illegal trade in wildlife." Nature 483, no. 7387 (2012): 36. http://dx.doi.org/10.1038/483036e.

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11

Guo, Zihao, Yuhan Yang, Xinxiong Wu, Zhiyong Zheng, and Weiqi Liu. "Research on trade quantity prediction on ARIMA and Long Short-Term Memory Networks." Highlights in Science, Engineering and Technology 98 (May 16, 2024): 337–43. http://dx.doi.org/10.54097/kb95a961.

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In the face of the enormous threat that illegal wildlife trade poses to global ecology and biodiversity. In this paper, two prediction models, ARIMA and LSTM, are used for comparative experiments. By analyzing the data of global illegal wildlife trade from 1995 to 2021, two prediction models, ARIMA and LSTM, are established to obtain the prediction results of global illegal wildlife trade from 2022 to 2029 respectively. The experimental results show that both the ARIMA prediction model and the LSTM prediction model show an upward trend in the prediction of the amount of illegal wildlife trade.

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12

Priatna, Dolly, and Kathryn A. Monk. "The role of the academic community in combating wildlife trafficking." Indonesian Journal of Applied Environmental Studies 3, no. 2 (2022): 85–91. http://dx.doi.org/10.33751/injast.v3i2.6302.

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In Indonesia, the value of the illegal trade in wildlife reaches more than US one million per year. Apart from being a source country, Indonesia also has a significantly growing home market for illegally traded wildlife as pets, skins, and medicines.The illegal wildlife trade uses various modus operandi, directed by organized criminal groups and carried out by a variety of perpetrators on the ground, often very poor locals from rural communities. Whilst this trading activity is a transnational crime, that is, across national and continental borders, and may use the same supply routes usually a

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13

Liu, Fushuai. "Study of global illegal wildlife trade volume based on social network analysis and ARIMA model." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 858–66. http://dx.doi.org/10.54097/apfv9c51.

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The illegal trade in wildlife and its products has become a global problem, and reducing the trade in illegal wildlife trade worldwide is important for the protection of biodiversity, social public safety and wildlife welfare. To explore ways to reduce illegal wildlife trade, the amount of wildlife trade needs to be integrated and predicted. Using CITES datasets and collected data, multiple linear regression was used to integrate the historical data of illegal wildlife trade, identify important factors, combine social network analysis and ARIMA time series analysis, build AR (2) model to fit t

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14

Brandis, Kate J., Phoebe Meagher, Sabine Schoppe, et al. "Determining the Provenance of Traded Wildlife in the Philippines." Animals 13, no. 13 (2023): 2165. http://dx.doi.org/10.3390/ani13132165.

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The illegal wildlife trade is a significant threat to global biodiversity, often targeting already threatened species. In combating the trade, it is critical to know the provenance of the traded animal or part to facilitate targeted conservation actions, such as education and enforcement. Here, we present and compare two methods, portable X-ray fluorescence (pXRF) and stable isotope analysis (SIA), to determine both the geographic and source provenance (captive or wild) of traded animals and their parts. Using three critically endangered, frequently illegally traded Philippine species, the Pal

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15

Salsabila, Aina Nashira. "Legal Protection Against Illegal Orangutan Trade." INDONESIAN JOURNAL OF SUSTAINABILITY 2, no. 2 (2023): 65. http://dx.doi.org/10.30659/ijsunissula.2.2.65-76.

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The archipelago is vast, even become the largest archipelagic country in the world. Having many islands makes Indonesia rich in diversity of flora and fauna, one of which is the orangutan wildlife that lives in the forests of Indonesia. Illegal trade in protected wildlife is still rampant due to the lack of public awareness about the importance of preserving nature so that the population of protected wildlife does not experience extinction. The trade-in wildlife does not only cover the national level, it has even penetrated at the international level. One of the regulations regarding the prote

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16

Sun, Haiyang, Xinjun Song, and Tianze Zhang. "Towards Effective Measures for Curbing the Illegal Wildlife Trade: A Comprehensive Approach with ARIMA Modeling and Responsible Party Evaluation." Sustainability in Environment 9, no. 2 (2024): p28. http://dx.doi.org/10.22158/se.v9n2p28.

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Illegal wildlife trade has become an urgent global problem that threatens global ecosystems, biodiversity and sustainable development. This problem requires us to propose comprehensive measures to significantly curb illegal wildlife trade.We used data from government work reports from 2014 to 2023 to establish an evaluation system for the responsible parties, and found that wildlife conservation is very important to the Chinese government using the AHP-Entropy weight method. We developed relevant measures to reduce illegal wildlife trade based on Citespace's literature research method. Then we

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17

Said, Mounir, Nour Outa, Hassan Makhlouf, Zuhair Amr, and Ehab Eid. "Illegal Trade in Wildlife Species in Beirut, Lebanon." Vertebrate Zoology 68, no. 1 (2018): 1–4. http://dx.doi.org/10.3897/vz.68.e32214.

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Between February and September 2014, we performed a survey of 23 animal markets in Beirut. Trade in wild animals including reptiles, birds and mammals comprise a large volume (25704 specimens). The estimated value of wildlife trade in Lebanon in the visited shops and during the study period is 431371 US$, out of which 97 % is for birds. This number indicates the economical importance of wildlife trade in Lebanon. Due to the high demand by the public, birds constituted the majority of the traded species which consisted mostly of cage-bred or imported species. Lebanon’s biodiversity is not threa

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Said, Mounir, Nour Outa, Hassan Makhlouf, Zuhair Amr, and Ehab Eid. "Illegal Trade in Wildlife Species in Beirut, Lebanon." Vertebrate Zoology 68 (April 5, 2018): 1–4. https://doi.org/10.3897/vz.68.e32214.

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Between February and September 2014, we performed a survey of 23 animal markets in Beirut. Trade in wild animals including reptiles, birds and mammals comprise a large volume (25704 specimens). The estimated value of wildlife trade in Lebanon in the visited shops and during the study period is 431371 US$, out of which 97 % is for birds. This number indicates the economical importance of wildlife trade in Lebanon. Due to the high demand by the public, birds constituted the majority of the traded species which consisted mostly of cage-bred or imported species. Lebanon's biodiversity is not threa

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19

Kaur Khalsa, Narender. "ILLEGAL WILDLIFE TRADE IN INDIA: IMPACT, LAWS, AND SOLUTIONS." International Journal of Social Science and Economic Research 08, no. 04 (2023): 758–78. http://dx.doi.org/10.46609/ijsser.2023.v08i04.015.

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Illegal wildlife trade has emerged as a major threat to the conservation of wildlife species in India. Despite the existence of laws and regulations to control and prevent wildlife crime, the illegal trade in wildlife continues to flourish. This paper examines the challenges associated with the illegal wildlife trade in India and evaluates potential solutions to address the issue. The research draws on secondary sources such as academic articles, government reports, and news articles to analyze the trends and patterns of wildlife trafficking in India. The research finds that the illegal trade

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20

Zhang, Qianwei, Shengzhou Xu, and Kairui Miao. "Research on Global Illegal Wildlife Trade Based on Integrated Optimization Methodologies." Highlights in Science, Engineering and Technology 115 (October 28, 2024): 230–36. http://dx.doi.org/10.54097/r0v6np04.

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To help improve the situation at this stage of the illegal wildlife trade, this article takes a comprehensive look at global data on Illegal Wildlife Trade (IWT) based on the background that illegal wildlife trade is still rampant at this stage. Through data-driven as well as mathematical modeling, feasible and effective measures are proposed. Firstly, we analyze the massive data through deep learning techniques, and neural networks are used to predict the subsequent trend of illegal wildlife trade. Immediately after that, we give two scenarios. The first is to stimulate people's awareness of

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21

Rivera, Shannon N., Andrew Knight, and Steven P. McCulloch. "Surviving the Wildlife Trade in Southeast Asia: Reforming the ‘Disposal’ of Confiscated Live Animals under CITES." Animals 11, no. 2 (2021): 439. http://dx.doi.org/10.3390/ani11020439.

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Increased focus on the illegal global wildlife trade has resulted in greater numbers of live animals confiscated by authorities, increasing the need to manage these animals responsibly. Most wildlife seizures take place in Southeast Asia, with global demand for live animals fuelling much of the trafficking. Guidelines for the ‘disposal’ of live specimens are provided by the Convention on the International Trade in Endangered Species of Wild Fauna and Flora (CITES), although individual Parties must implement provisions through national laws and regulations. ‘Disposal’ is the term used for the m

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22

Yeo, Lydia M., Rachel S. McCrea, and David L. Roberts. "A novel application of mark-recapture to examine behaviour associated with the online trade in elephant ivory." PeerJ 5 (March 9, 2017): e3048. http://dx.doi.org/10.7717/peerj.3048.

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The illegal trade in elephant ivory is driving the unlawful killing of elephants such that populations are now suffering unsustainable reductions. The internet is increasingly being used as a platform to conduct illegal wildlife trade, including elephant ivory. As a globally accessible medium the internet is as highly attractive to those involved in the illegal trade as it is challenging to regulate. Characterising the online illegal wildlife (ivory) trade is complex, yet key to informing enforcement activities. We applied mark-recapture to investigate behaviour associated with the online trad

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23

Kembabazi, Gloria. "Wildlife Protection and Prevention of Illegal Wildlife Trade: Legal Framework and Challenges." KAS African Law Study Library - Librairie Africaine d’Etudes Juridiques 8, no. 3 (2021): 356–63. http://dx.doi.org/10.5771/2363-6262-2021-3-356.

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This paper examines wildlife protection and prevention of illegal wildlife trade, the importance of it and the role law plays in ensuring that wildlife is protected and its illegal trade curbed. It goes further to examine some national, regional, and international instruments towards these double aims. The national instruments focus on Uganda and the regional instruments focus on the East African Community. Towards the end, the author also examines and analyses some challenges facing wildlife protection and prevention of illegal wildlife trade.

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Lubis, Muhammad Ikhsan. "Implementation of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) and Law No. 5 of 1990 in Law Enforcement Efforts and Guarantees of Environmental Rights in Gunung Leuser National Park, Indonesia." Journal of Indonesian Legal Studies 2, no. 1 (2017): 55–78. http://dx.doi.org/10.15294/jils.v2i01.16635.

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Indonesia is renowned for its abundant natural resources and vast biodiversity. However, Indonesia also has wildlife species that are most vulnerable to the threat of extinction. Illegal wildlife trade poses a serious threat to the preservation of wildlife in Indonesia. Wildlife illegally traded based on facts found in the field is mostly a catch from nature, not from captive breeding. Gunung Leuser National Park (Taman Nasional Gunung Leuser, TNGL) as one of the national parks in Indonesia faces problems in the protection of this wildlife. This is triggered by the process of industrialization

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Nijman, Vincent, Thais Q. Morcatty, Kim Feddema, Marco Campera, and K. A. I. Nekaris. "Disentangling the Legal and Illegal Wildlife Trade–Insights from Indonesian Wildlife Market Surveys." Animals 12, no. 5 (2022): 628. http://dx.doi.org/10.3390/ani12050628.

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It is challenging to disentangle the legal and illegal aspects of wild-caught animals that are traded in wildlife markets or online, and this may diminish the value of conducting wildlife trade surveys. We present empirical studies on the trade in birds (ducks, owls, songbirds, non-passerines) in Indonesia (2005 to 2021). Based on visits to wildlife markets, wholesale traders, and monitoring of an Instagram account, we examine if five specific pieces of legislation (domestic and international) are adhered to: (1) protected species, (2) harvest quota, (3) welfare, (4) provincial transport restr

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Qu, Yingying, Xu Yuan, and Xinyi Sun. "Reducing the illegal wildlife trade based on multiple linear regression model." Journal of Education, Humanities and Social Sciences 37 (August 15, 2024): 172–78. http://dx.doi.org/10.54097/c030ae09.

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Illegal wildlife trade has serious negative impacts on the ecological environment and species diversity, and it is of practical significance to propose projects to reduce it for the protection of the ecological environment. By analyzing the problem around illegal wildlife trade, we constructed and continuously monitored and evaluated the improvement model to present the factors, formulate solutions and predict results affecting the illegal wildlife trade. We use EWM to calculate the weighting coefficients of the three organizations in relation to power, resources and interest. Finally we choos

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Koukoushkina, A. V. "The Fight Against Illegal Wildlife Trade." MGIMO Review of International Relations, no. 4(19) (August 28, 2011): 233–39. http://dx.doi.org/10.24833/2071-8160-2011-4-19-233-239.

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Cheng, Yu. "Research And Application of The "5-Target Customer Analysis Model" to Address The Illegal Wildlife Trade: The Case of The United States Fish and Wildlife Service." Transactions on Economics, Business and Management Research 11 (November 5, 2024): 152–58. https://doi.org/10.62051/ajf2sp85.

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Against the backdrop of the illegal wildlife trade being a global problem involving many governmental and non-governmental organisations, this paper proposes a "5-goal client analysis model" to address this challenge. Firstly, five key assessment indicators, including enforcement capacity, financial support level, human resource level, technological innovation and international co-operation experience, were selected to identify relevant entities to deal with illegal wildlife trade. Potential clients were assessed and analysed through the entropy weighted TOPSIS method, combining the concept of

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SINGH, Renu, Janmejay SETHY, and Deepali CHATRATH. "TRENDS AND PATTERNS OF ILLEGAL WILDLIFE HUNTING AND TRADING IN UTTAR PRADESH, INDIA." International Journal of Conservation Science 14, no. 1 (2023): 307–16. http://dx.doi.org/10.36868/ijcs.2023.01.21.

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Wildlife trade, poaching and its use is characterized as wildlife crime, also it has become a global problem. The illegal wildlife trade is a increasing problem driven by the number of factors (e.g. alternative medicine, accessories and subsistence). High demand for illicit wildlife products is threatening the existence of many of the most of d species. Enquiring and investigating crime hotspots include analyzing the enforcement of law and seizure data, highlighting areas with high biodiversity has been studied here. In this present study, we have analyzed wildlife crime hotspot in different d

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Guo, Lanqi, Ruiqi Mao, and Mingrui Li. "Research On the Strategy of Combating Illegal Wildlife Trade Based on Logistic Regression-ARIMA Model." Highlights in Business, Economics and Management 38 (July 22, 2024): 1–10. http://dx.doi.org/10.54097/x7mjf459.

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In view of the continuous growth of the global illegal wildlife trade, this paper proposes a series of methods and strategies to combat the illegal wildlife trade and explores the feasibility and effectiveness of the implementation of the strategy by the United Nations Environment Programme (UNEP) based on logistic regression and ARIMA prediction model. The results of this paper show that the success rate of the strategy implemented by the UNEP is 71.429%, and it will achieve the effect of reducing the global illegal wildlife trade by nearly 5% per year after the implementation of the strategy

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Yu, Ning, and Tianheng Xu. "Model for Evaluating the Impact of the Illegal Wildlife Trade." Highlights in Business, Economics and Management 30 (April 10, 2024): 401–4. http://dx.doi.org/10.54097/cavg4994.

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The calculation of the impact score of illegal wildlife trade is of great significance for the protection of wildlife. In order to accurately calculate the illegal wildlife trade impact score, this paper constructs the illegal wildlife trade impact (SEN) evaluation model based on the combined weighting method of hierarchical analysis, coefficient of variation method and CRITIC weighting method, and selects 11 second-level indexes from the three aspects of society, economy and nature. The model calculation shows that from 2009 to 2023, the scores of social, economic and natural develop in a dec

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Chen, Yuemin. "Research on Influencing Factors of Illegal Wildlife Trade Based on Multiple Linear Regression Model." Highlights in Science, Engineering and Technology 93 (May 8, 2024): 128–36. http://dx.doi.org/10.54097/ysxyf041.

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This study aims to explore the influencing factors of illegal wildlife trade and assess the role of key indicators such as technology, law, and international cooperation in reducing this type of trade. By integrating Spearman's correlation analysis and multiple linear regression models, we conducted an in-depth analysis of China's wildlife trade data. Initially, Spearman's correlation analysis revealed significant positive correlations between education, public awareness, technology, law, and international cooperation with the reduction of illegal wildlife trade. Subsequently, we constructed a

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Zhang, Yayang. "Research on the Effectiveness of Policy Interventions in Illegal Wildlife Trade Based on System Dynamics and Logistic Regression Models." Highlights in Science, Engineering and Technology 93 (May 8, 2024): 137–44. http://dx.doi.org/10.54097/dscqjf16.

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This study is dedicated to assessing the long-term impact of policy interventions on the illegal wildlife trade system. To this end, we have constructed a System Dynamics model capable of simulating the complex interactions between key variables such as illegal trade demand (D), supply (S), enforcement strength (E), public awareness (A), and project intervention (P). By understanding the dynamic relationships among these variables, we can predict the effects of policy changes on the illegal wildlife trade market. Furthermore, we have employed a Logistic Regression model to quantify the probabi

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Deliveyne, Nathan, Phillip Cassey, Adrian Linacre, Steven Delean, Jeremy J. Austin, and Jennifer M. Young. "Recovering trace reptile DNA from the illegal wildlife trade." Forensic Science International: Animals and Environments 2 (December 2022): 100040. http://dx.doi.org/10.1016/j.fsiae.2021.100040.

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Febriyanti, Dewinta, Fachruddin Majeri Mangunjaya, Gugah Praharawati, Tatang Mitra Setia, and Yeremiah R. Tjamin. "Public Response and the Role of New Media in Dissemination of MUI Edict No. 4/2014 on Illegal Wildlife Trade." Journal of Tropical Biodiversity 3, no. 1 (2022): 1–13. http://dx.doi.org/10.59689/bio.v3i1.143.

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The sophisticated communications could be a tool as a driver to increase of the illegal wildlife trade. Since 2012 there has been a shift in the trend of illegal wildlife trade from the offline market to the online market (advertising, e-commerce and social media). This study aims to determine the role of new media in the dissemination of Indonesian Council of Ulama (MUI) Fatwa No. 4/2014 about The Protection of Endangered Species for the Balance of the Ecosystem (illegal wildlife trade fatwa). The research was carried out in April–August 2020 through the new media Facebook. Collecting wildlif

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Dai, Jingze. "Illegal wildlife trade measuring based on data-driven analyses." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1140–46. http://dx.doi.org/10.62051/g94n6344.

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Illegal wildlife trade (IWT) stands as a silent yet devastating force. In this paper a 5-year project is proposed to have a measurable impact on reducing the illicit trade based on data-driven analyses. First, we develop the Client Performance Evaluation Model to identify the ideal client. Secondly, the AI-Powered Wildlife Guardian Project (AWGP) is designed to monitor and manage the IWT chain, from supply to demand. Additional powers and resources for the project’s success are identified. The C4ADS Air Seizure Database highlights China’s need for the authority for cross-border monitoring and

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Chen, Yuhua, Weifeng Sun, and Xinyan Zhao. "Research on the Impact of Wildlife Trade Based on a Linked Comparative Forecasting Model: A Case Study of ASEAN." Transactions on Economics, Business and Management Research 11 (November 5, 2024): 301–10. https://doi.org/10.62051/1kjt3t36.

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This study examines the challenges faced by ASEAN countries in combating illegal wildlife trade and implementing CITES. Despite efforts, illegal trade persists due to technological limitations, inadequate permit systems, poor interagency coordination, corruption, and low public awareness. The paper proposes project suggestions, including drone monitoring, a unified wildlife health information system, and improved enforcement mechanisms. Data analysis and empirical research confirm the alignment of these suggestions with ASEAN wildlife conservation plans. Predictions using linked models and ARI

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Lindsey, P. A., S. S. Romañach, S. Matema, C. Matema, I. Mupamhadzi, and J. Muvengwi. "Dynamics and underlying causes of illegal bushmeat trade in Zimbabwe." Oryx 45, no. 1 (2011): 84–95. http://dx.doi.org/10.1017/s0030605310001274.

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AbstractThe prevalence and impacts of the illegal trade in bushmeat are under appreciated in Southern Africa, despite indications that it constitutes a serious conservation threat in parts of the region. Bushmeat trade has emerged as a severe threat to wildlife conservation and the viability of wildlife-based land uses in Zimbabwe during a period of political instability and severe economic decline. We conducted a study around Savé Valley Conservancy in the South-East Lowveld of Zimbabwe to investigate the dynamics and underlying causes of the bushmeat trade, with the objective of developing s

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Pu, Dingtian, Mingran Sun, and Jingyi Yuan. "Predicting the Effectiveness of Wildlife Trade Policies Using Machine Learning Techniques." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1687–95. http://dx.doi.org/10.62051/f9qzwf12.

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Deepening globalization has made the illegal wildlife trade a growing problem, and this paper uses modern information technologies, such as big data analysis and machine learning, for monitoring and evaluation, which are essential for understanding trade dynamics, predicting trends, and assigning responsibilities. This study uses Klein's comprehensive national power equation to establish a scoring system to select the countries or organizations with the most rights, resources, and interest in the management of illegal wildlife trade as the subject of behavioral implementation. Data-driven meth

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Onyeabor, Emmanuel, Helen Agu, and Edwin Arum. "Economic Implications of Trade in Wildlife: From Legality to Illegality." Nigerian Juridical Review 16 (June 28, 2022): 255–74. http://dx.doi.org/10.56284/tnjr.v16i1.23.

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Illegal trade in wildlife has caused the decline of many species in Nigeria, Africa and the world. Illegal killing, smuggling and other forms of illicit trade in wildlife do not only hurt the economy and the ecosystem, but they also fuel organised crime as well as feed corruption and insecurity, undermining the sustainable development of the country. Wildlife in Nigeria is under pressure as most endangered species, are traded both domestically and internationally. Nigeria is not only a source of wildlife products but has also emerged as a major transit country for wildlife trafficking accordin

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Setiyani, Ayu Diyah, and Mukhtar Amin Ahmadi. "An overview of illegal parrot trade in Maluku and North Maluku Provinces." Forest and Society 4, no. 1 (2020): 48. http://dx.doi.org/10.24259/fs.v4i1.7316.

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Maluku is widely considered as a global avifauna hotspot. However, illegal parrot trades threatens numerous species to extinction. To date, there is no study on the extent of illegal trade in Maluku, which as a result, hampers efforts at targeting conservation initiatives. The aims of this study are to identify the pattern of illegal parrot trade, to identify factors that contribute to illegal parrot trade, and to identify actors involved in illegal parrot trade in Maluku and North Maluku Provinces. The study found that the number of wildlife rescued in 2018 was 1,402 individuals. Surprisingly

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ROY, DEBADITYA, and Kumar Vinod. "A succinct view of wildlife crimes in West Bengal and their conservation practices." Journal of Wildlife and Biodiversity 7, Supplementary issue (2023): 14–29. https://doi.org/10.5281/zenodo.10019628.

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The wide range of wildlife animals in India is suffering from a combination of threats, which leads to suitable habitat loss, and increasing conflict between human and illegal wildlife trade that is pushing the wildlife population towards extinction. However, studies in India are showing that indiscriminate poaching and illegal trade are increasingly becoming the main drivers for the extinction of species. Recent, illegal wildlife trades have received attention from biological and conservation perspectives. In that context, the present reviewed the wildlife crimes in West Bengal and their cons

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Tow, Jia Hao, William S. Symes, and Luis Roman Carrasco. "Economic value of illegal wildlife trade entering the USA." PLOS ONE 16, no. 10 (2021): e0258523. http://dx.doi.org/10.1371/journal.pone.0258523.

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Illegal wildlife trade is one of the greatest threats to biodiversity. Understanding its economic value is a first step to establishing the magnitude of the problem. We develop a dataset of illegal wildlife trade prices and combine it with seizure data to estimate the economic value of illegal wildlife trade entering the USA. Using 2013 as a reference year, the results reveal that the economic value of illegal wildlife trade entering the USA was, using a conservative scenario where potential outliers were excluded, US$3.2 billion/year (uncertainty range (UR) 5th and 95th percentile of US$0.6–8

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Sánchez-Mercado, Ada, Marianne Asmüssen, Jon Paul Rodríguez, Lisandro Moran, Arlene Cardozo-Urdaneta, and Lorena Isabel Morales. "Illegal trade of the Psittacidae in Venezuela." Oryx 54, no. 1 (2017): 77–83. http://dx.doi.org/10.1017/s003060531700120x.

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AbstractIllegal wildlife trade is one of the major threats to Neotropical psittacids, with nearly 28% of species targeted for the illegal pet trade. We analysed the most comprehensive data set on illegal wildlife trade currently available for Venezuela, from various sources, to provide a quantitative assessment of the magnitude, scope and detectability of the trade in psittacids at the national level. We calculated a specific offer index (SO) based on the frequency of which each species was offered for sale. Forty-seven species of psittacids were traded in Venezuela during 1981–2015, of which

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Wu, Fei, and Siyuan Qi. "Research on Prediction of Illegal Wildlife Trade Based on PCA and Multiple Linear Regression." Highlights in Science, Engineering and Technology 94 (April 26, 2024): 596–603. http://dx.doi.org/10.54097/2zdse195.

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Illegal wildlife trade is a long-standing issue, exerting negative impacts over national economies, regional security, and even global ecosystems. Governments worldwide and numerous environmental and animal protection organizations have been deeply engaged in addressing this issue for many years. Historically, there has been a lack of a quantifiable model to analyze the impact of implementing wildlife monitoring and conservation projects using drones on illegal wildlife trade.In this paper, we primarily propose an Illegal Wildlife Trade Prediction Model. By integrating four secondary indicator

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Liu, Yuting, and Yuxuan Jiang. "Strategic Evaluation and Selection of Partners in Combating Illegal Wildlife Trade Initiative: An AHP-TOPSIS Approach." Highlights in Science, Engineering and Technology 99 (June 18, 2024): 383–94. http://dx.doi.org/10.54097/pp2beh63.

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This paper propose a Wild for life project, looking for the client with the same goal to achieve zero wildlife crime.First, this paper collects a large amount of data related to the illegal wildlife trade, and the situation of relevant international organizations, and preprocesses these data. Then selected potential clients through power, resources, and interest required for the project. This paper used the “Global Influence Index of International Organizations” to assign different weights, and used the AHP-TOPSIS model to determine our client ICCWC, and pointed out the help that customers can

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Lindsey, P. A., S. S. Romañach, C. J. Tambling, K. Chartier, and R. Groom. "Ecological and financial impacts of illegal bushmeat trade in Zimbabwe." Oryx 45, no. 1 (2011): 96–111. http://dx.doi.org/10.1017/s0030605310000153.

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AbstractUnder conditions of political instability and economic decline illegal bushmeat hunting has emerged as a serious conservation threat in Zimbabwe. Following settlement of game ranches by subsistence farming communities, wildlife populations have been eradicated over large areas. In several areas still being managed as game ranches illegal hunting is causing further declines of wildlife populations (including threatened species such as the wild dog Lycaon pictus and black rhinoceros Diceros bicornis), threatening the viability of wildlife-based land uses. From August 2001 to July 2009 in

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ZUBAIDI, Abdul Khakim Mahfud. "The Peruvian Government’s Strategy Against Wildlife Trafficking: From Intelligence Operations to Strict Law Enforcement." Loka: Journal Of Environmental Sciences 1, no. 4 (2024): 146–55. https://doi.org/10.38142/ljes.v1i4.209.

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Purpose:This paper aims to contribute to the literature on wildlife conservation by analyzing the enforcement of organized crime laws as a strategy to combat illegal wildlife trafficking in Peru and protect biodiversity.Methodology:This study employs qualitative descriptive analysis to explore the dynamics of illegal wildlife trafficking in Peru and assess the application of organized crime laws as a mitigation strategy. The research uses secondary data from NGO and INGO reports, academic articles, and government publications from 2018 to 2023.Findings:This study finds that illegal wildlife tr

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Morcatty, Thais Q., Gretchen Peters, K. A. I. Nekaris, et al. "Tech companies liable for illegal wildlife trade." Science 377, no. 6607 (2022): 721. http://dx.doi.org/10.1126/science.ade0843.

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Nijman, Vincent. "Souvenirs, Shells, and the Illegal Wildlife Trade." Journal of Ethnobiology 39, no. 2 (2019): 282. http://dx.doi.org/10.2993/0278-0771-39.2.282.

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