滇桂地区野生动物非法贸易多维特征与分销网络

李钢; 李佳; 牛晓璇; 金安楠; 张小文

doi:10.16152/j.cnki.xdxbzr.2025-06-016

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滇桂地区野生动物非法贸易多维特征与分销网络

青年编委专刊 | 更新时间：2026-01-02

- 滇桂地区野生动物非法贸易多维特征与分销网络
- Multidimensional characteristics and distribution networks of illegal wildlife trade in the Yunnan-Guangxi region
- 西北大学学报（自然科学版） 2025年55卷第6期页码：1393-1409
- 作者机构：
  
  1.西北大学　城市与环境学院，陕西　西安　710127
  2.西北大学　陕西省地表系统与环境承载力重点实验室，陕西　西安　710127
- 作者简介：
  
  [ "李钢，教授，博士生导师，教育部产学合作协同育人实践基地西北大学-普开数据时空大数据联合实验室主任，西北大学人地关系与空间安全特色优势团队首席专家，西北大学碳中和学院双碳时空大数据与绿色低碳发展团队负责人，西北大学仲英学会创会会长。曾赴美国北卡罗纳大学教堂山分校、奥地利格拉茨大学和德国海德堡大学开展访学与博士后研究，曾赴西班牙、美国、德国、瑞典、日本、韩国、澳大利亚参加国际会议和开展合作交流。先后入选文化和旅游部“旅游业青年专家”培养计划和唐仲英基金会-西北大学“仲英青年学者”支持计划。兼任中国地理学会青年工作委员会副主任、地理大数据工作委员会委员、气候专业委员会委员，中国自然资源学会人口资源专业委员会副主任、教育工作委员会委员，中国科学探险协会理事、沙漠科学考察专业委员会副主任，中国灾害防御协会第一批（灾害史）专业智库专家、灾害史专业委员会副秘书长，受聘为International Journal of Criminology and Sociology、《古地理学报》期刊编委，Chinese Geographical Science、《地球环境学报》《西北大学学报（自然科学版）》期刊青年编委，《热带地理》专刊客座主编等。研究工作注重“地理学+”的多学科交叉融通，主要围绕人地关系与空间安全、数字人文与计算社会的主线，形成“天灾+地险+人祸+X”特色优势研究格局，辐射多个各具特点又交叉互鉴，颇具挑战且意义重大的研究方向，尤其在历史蝗灾与环境变迁、人口拐卖与人口失踪、野生动物贩运等研究领域具有重要学术影响力和社会关注度。先后主持国家级项目3项、省部级项目10项、国际合作项目4项、人才计划2项，以第一作者或通讯作者在国内外主流期刊发表研究论著140余篇部，应邀在国内外学术会议/机构作大会/特邀报告/专题讲座30余场，接受媒体采访报道10余次，荣获教学科研奖励20余项，带队和指导学生获奖60余项。" ]
  牛晓璇，女，硕士，从事环境犯罪与绿色犯罪地理研究，1019739482@qq.com。
  张小文，女，博士，副教授，从事时空大数据与计量分析研究，147935424@qq.com。
- 基金信息：
  
  国际野生生物保护学会（Wildlife Conservation Society）研究课题(24-31;25-55)
- DOI：10.16152/j.cnki.xdxbzr.2025-06-016
  中图分类号： K901;D924.3
- 收稿：2025-10-16，
  
  纸质出版：2025-12-25
- 稿件说明：
移动端阅览
李钢, 李佳, 牛晓璇, 等. 滇桂地区野生动物非法贸易多维特征与分销网络[J]. 西北大学学报（自然科学版）, 2025,55(6):1393-1409.

LI Gang, LI Jia, NIU Xiaoxuan, et al. Multidimensional characteristics and distribution networks of illegal wildlife trade in the Yunnan-Guangxi region[J]. Journal of Northwest University (Natural Science Edition), 2025, 55(6): 1393-1409.
李钢, 李佳, 牛晓璇, 等. 滇桂地区野生动物非法贸易多维特征与分销网络[J]. 西北大学学报（自然科学版）, 2025,55(6):1393-1409. DOI： 10.16152/j.cnki.xdxbzr.2025-06-016.

LI Gang, LI Jia, NIU Xiaoxuan, et al. Multidimensional characteristics and distribution networks of illegal wildlife trade in the Yunnan-Guangxi region[J]. Journal of Northwest University (Natural Science Edition), 2025, 55(6): 1393-1409. DOI： 10.16152/j.cnki.xdxbzr.2025-06-016.

摘要

野生动物非法贸易严重危害珍稀物种安全，是以生态为中心的绿色犯罪学的重要研究议题，国内相关研究亟待深化。该文以滇桂地区（云南省与广西壮族自治区）为研究区域，基于2013—2023年中国裁判文书网公开案件数据，综合运用数理统计、空间分析及社会网络分析方法，探究了野生动物非法贸易的多维特征、时空格局与分销网络结构。结果发现：①涉案物种以兽类、鸟类和爬行动物为主，象、猕猴、龟类等为重点目标，犯罪主体多为41~50岁、低学历、务农的男性；②犯罪数量在时间上呈“前期增长，后期骤降”态势，2019年为峰值年，2020年后因疫情管控显著下降，月际上1月和7月为高发期，春季尤为集中；③空间上犯罪活动高度集聚于边境地区与省会城市，形成双核心格局，并呈现显著空间集聚性；④分销网络以省内为主，跨省及国际路径依托边境节点与越南、缅甸构建跨境走私通道，终端流向东南沿海（广东、福建），不同犯罪组织形式（有组织、一般共同、无组织）在网络结构、节点功能与路径特征上呈现显著差异。研究建议：通过加强边境执法、关键节点监控、大数据治理与社区参与，综合打防治理野生动物非法贸易。

Abstract

The illegal wildlife trade poses a severe threat to the survival of endangered species and is a critical area of research in ecologically-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 patterns

and distribution network structures of illegal wildlife trade using public case data from China Judgements Online from 2013 to 2023. The study employs a combination of mathematical statistics

spatial analysis

and social network analysis methods. The results show that: ①the 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. ②The number of offenses initially increased

peaking in 2019

and declined sharply after 2020 due to COVID-19 containment measures. Monthly analysis reveals that January and July were high-incidence periods

with a peak occurring in spring. ③Spatially

criminal activities were concentrated in border regions and provincial capitals

forming a dual-core pattern with significant clustering. ④Distribution networks are mainly provincial

while cross-provincial and international routes rely on border nodes to establish smuggling 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 differences in distribution network structure

node functions

and trafficking routes. The study recommends combating illegal wildlife trade through strengthening border enforcement

monitoring key nodes

big data-driven management

and community participation.

关键词

Keywords

references

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