滇桂地区野生动物非法贸易多维特征与分销网络

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中图分类号：K901;D924.3 DOI：10.16152/j. cnki. xdxbzr. 2025-06-016

Multidimensional characteristics and distribution networks of illegal wildlife trade in the Yunnan-Guangxi region

LI Gang1，²，LI Jia’，NIU Xiaoxuan’， JIN Annan1， ZHANG Xiaowen 1，2 （1.College of Urban and Environmental Science，Northwest University，Xi’an 71O127，China; 2.Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity， Northwest University，Xi’an ，China）

AbstractThe ilegal wildlife trade poses a severe threat to the survival of endangered species and is a critical area of research in ecologicaly-centered green criminology.Domestic studies on this issue，however，remain underdeveloped. Focusing on the Yunnan-Guangxi region，this study systematically analyzes the multidimensional characteristics，spatiotemporal pattrns，and distribution network structures of illgal wildlife trade using public case data from China Judgements Online from 2013 to 2O23.The study employs acombination of mathematical statistics，spatial analysis，and social network analysis methods. The results show that： ① the crimes primarily involved mammals，birds，and reptiles，with elephants，rhesus monkeys，and tortoises as typical species ; the main perpetrators were predominantly males aged 41～50 ，with low educational levels，mainly engaged in agricultural work. ② The number of offenses initially increased，peaking in 2O19，and declined sharply after 202O due to COVID-19 containment measures.Monthly analysis reveals that January and July were high-incidence periods，with a peak occurring in spring. ③ Spatially，criminal activities were concentrated in border regions and provincial capitals，forming a dual-core pattern with significant clustering. ④ Distribution networks are mainly provincial，while cross-provincial and international routes rely on border nodes to establish smugling corridors with Vietnam and Myanmar，ultimately converging on the southeastern coast （Guangdong and Fujian）.Different forms of criminal organizations，including organized，general，and unorganized groups，exhibit notable diferences in distribution network structure，node functions，and traffcking routes.The study recommends combating illegal wildlife trade through strengthening border enforcement，monitoring key nodes， big data-driven management， and community participation.

Keywordsillegal wildlife trade；wildlife crime； green criminology；criminal networks； Yunnan-Guangxi re-gion

近30年来，野生动物非法贸易[1]（illegalwildlifetrade，IWT）作为一种新兴的“绿色犯罪”日益凸显。（剩余25044字）