| Illegal logging is one of the main types of crimes that destroy forests.It is a negative social behavior formed by the region under the influence of natural,economic,industrial,demographic,cultural and other comprehensive factors,which greatly threatens China’s forest management system and forestry ecological security.At present,illegal logging has attracted the attention of the society.In criminal geography,the negative social problems are studied with interdisciplinary perspectives and methods,but the research on crimes of environmental damage types is relatively scarce.Therefore,this study aims to observe the spatial and temporal distribution characteristics and evolution mechanism of illegal logging in China and explore the construction of China’s illegal logging prevention and control mechanism by combining data mining and field survey of illegal logging cases,and combining spatial analysis method with theoretical qualitative analysis.Based on the research results,provide universal and targeted recommendations for regional governance of illegal logging,and respond to social concerns.The main conclusions are as follows:1)Time characteristics: the number of illegal logging cases fluctuated relatively gently during the study period,and the spatial concentration effect remained stable,the highest value year is 2019,and the lowest value year is 2020.In terms of monthly distribution,the first half of the year is more gentle than the second half of the year.September to October is the high value period of illegal logging throughout the year,and August and December are generally the low point of the year.2)Spatial characteristics: The high value areas of the number of cases mainly include Guangxi,Southeast Guizhou,Chongqing-West Hubei and the border of Yunnan.The high value areas of the volume of felled standing trees mainly include the border area of the the Yunnan-Guizhou Plateau and the cities along the Wuyi Mountains-Nanling Mountain in the southeast.According to the comparative characteristics of the number of regional cases and the volume of felled living trees,the models of low volume,medium volume and high volume are distributed in strips from northwest to southeast.Qingyuan City,Zhaoqing City,Shaoguan City,,Ganzhou City,and Xishuangbanna City are the only five cities with high volume in China.3)Spatial agglomeration characteristics: illegal logging has a strong spatial agglomeration effect.The study found that there are differences in forest endowment,social culture,economic level,population size,policy system and other factors based on different geographical regions,and different regions also present different spatial agglomeration trends.Southwest China is the only high-high concentration area with the number of cases in the country,and the high-high concentration area with the volume of standing timber has extended to the southeast of China.4)Spatial evolution and driving characteristics: based on the standard deviation ellipse analysis,the center of gravity,azimuth and long and short axis standard deviation of illegal logging in China have a significant migration trend in time series.The results of the GWR model show that the goodness of fit of the volume of cut living trees is higher than that of the number of cases.The per capita volume of living trees and the urbanization rate of the permanent population have a negative inhibition on illegal logging,the forest coverage rate and the forestry output value have a positive incentive effect on illegal logging,and the road density,per capita agricultural,forestry and water expenditure,and per capita disposable income of farmers have a strong spatial difference in the driving effect of illegal logging.5)Based on the theory of rational choice,the theory of daily activities,the theory of government functions and the field investigation and exploration of typical cases,the occurrence and prevention and control mechanism of illegal logging at the micro level in China has been constructed. |
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