In protecting wild animals and their habitats, human-animal conflicts occur occasionally. Exploring the influencing factors of human-animal conflicts and proposing corresponding suggestions to promote harmonious coexistence between man and nature is necessary. This study started with 22 variables of the economic, ecological, and social system (EES system) around Beijing from 2009 to 2017. It established an EES index evaluation system based on the Covariance-Analytic Hierarchy Process (Cov-AHP). In order to explore the influencing factors of human-animal conflict in the EES system, a multiple linear regression model is established and AIC criteria are used to screen and analyze the variables that significantly impact human-animal conflict. The results showed that the primary forms of human-animal conflict in the surrounding areas of Beijing were the destruction of farmland and orchards. The losses were the least in Pinggu District, the largest in Mentougou District and Yanqing District, and the peak of the conflict was from August to September every year. In the economic system, the increase in the growth rate of the secondary industry, the proportion of the secondary industry, the general budget revenue of the government, and the total grain production will aggravate the loss of human-animal conflict. In the ecosystem, the larger the area of reforestation and the closer the distance from the water system, the more likely it is to cause human-animal conflict loss, while the closer the distance from forest land, the less likely it is to cause human-animal conflict loss. In the social system, the Engel coefficient and total public library will increase the loss of human-animal conflict, while the proportion of protective measures is the opposite. Therefore, we should optimize the local industrial structure and strengthen the construction of ecological civilization while developing the economy. Improving the cultural literacy of residents: when carrying out the project of returning farmland to forest, the local ecology should be reasonably restored, and the overcorrection should not be overdone. Besides harmonious coexistence with wild animals, protection measures should be established and the negative impact of wild animals should be minimized. This study explores the main influencing factors of human-animal conflict in the EES complex system, providing a theoretical basis and data support for reducing the loss of human-animal conflict and promoting harmonious symbiosis between man and nature.
An B W, Hou Z M. 2021. Research on the construction method of objective AHP judgment Matrix. Journal of Quantitative&Technological Economics, 38(12):164-182.(in Chinese)
Aryal A, Brunton D, Ji W, Barraclough R K, Raubenheimer D. 2014. Human-carnivore conflict:ecological and economical sustainability of predation on livestock by snow leopard and other carnivores in the Himalaya. Sustainability Science, 9(3):321-329.
Bergstrom B J, Arias L C, Davidson A D, Ferguson A W, Randa L A, Sheffield S R. 2014. License to kill:reforming federal wildlife control to restore biodiversity and ecosystem function. Conservation Letters, 7(2):131-142.
Cheng Y F, Xue Y D, Dai Y C, Zhang Y, Gao Y Y, Zhou J, Li D Q, Liu H J, Zhou Y, Li L. 2019. The research of human-wildlife conflict's current situation and the cognition of herdsmen's attitudes in the Qinghai area of Qilian Mountain National Park. Acta Ecologica Sinica, 39(4):1385-1393.(in Chinese)
Dai Y C. 2022. Study on the characteristics, risks and driving factors of human-bear (Ursus arctos pruinosus) conflicts in the Sanjiangyuan region. Ph. D thesis. Beijing:Chinese Academy of Forestry.(in Chinese)
Dang J J. 2015. Study on coordinate development evaluation of ecological restoration of Ecological-Economy-Society in the loess hill region. Ph. D thesis. Yangling:Northwest A&F University.(in Chinese)
Fang L, Hong Y P, Zhou Z Y, Chen W H. 2021. The frequency and severity of crop damage by wildlife in rural Beijing, China. Forest Policy and Economics, 124(1):102379.
Fang Y L, Liu J P. 2012. A new perspective on the relationship between gross regional product and general budget revenue. The World of Survey and Research,(1):51-55.(in Chinese)
Fu L P, Liu F, Sun X S. 2020. Research on coupling development of public services and new-type urbanization in Beijing-TianjinHebei City cluster. Urban Problems,(8):4-13.(in Chinese)
Huang G L, Wei X L. 2019. Risk assessment of PPP shantytown renewal project based on combined weighting method. Journal of Civil Engineering and Management, 36(4):40-46.(in Chinese)
Huang Y J. 2021. Spatio-temporal habitat selection of wild crested ibis (Nipponia nippon) and modeling of reintroduction sites. Ph. D thesis. Beijing:Beijing Forestry University.(in Chinese)
Jiang Y H, Chen M, Qu Z D, Wang P, Nie D Y, Huang T. 2022. Applicability analysis of wildlife passageways in urbanized areas.
China Municipal Engineering, 224(5):8-11, 116-117.(in Chinese)
Liu Y Q, Qie Z H, Han W M. 2017. Fitting model optimization of the compaction test curve based on the AIC criterion. Journal of Hebei Agricultural University, 40(5):120-124.(in Chinese)
Li L J, Dong N, Xiong F, Luo L L, Li H Y. 2019. Research on performance evaluation of construction project management based on Cov-AHP and connection degree. Journal of Guangxi Normal University (Natural Science Edition), 37(3):111-119.(in Chi‐
nese)
Mukeka J M, Ogutu J O, Kanga E, Røskaft E. 2019. Human-wildlife conflicts and their correlates in Narok County, Kenya. Global Ecology and Conservation, 18:e00620.
Packer C, Ikanda D, Kissui B, Kushnir H. 2005. Lion attacks on humans in Tanzania. Nature, 436:927-928.
Qiu J J, Liu Y H, Chen C J, Huang Q Y. 2023. Spatial structure and driving pathways of the coupling between ecosystem services and human well-beings:a case study of Guangzhou. Journal of Natural Resources, 38(3):760-778.(in Chinese)
Wang M T. 2022. A Study on herdsmen's behavior to deal with human-wildlife conflicts in Qiangtang Nature Reserve. Ph. D the‐
sis. Beijing:Beijing Forestry University.(in Chinese)
Xie Z Q. 2015. Cov-AHP:An improvement of analytic hierarchy process method. Journal of Quantitative&Technological Econom‐
ics, 37(4):163-169.(in Chinese)
Xu Z G, Wang X Y, Zong G, Li K M. 2010. The conflict and strategy between wildlife protection and livestock production in Qiangtang Natural Reserve. Central South Forest Inventory and Planning, 29(1):33-37.(in Chinese)
Xu C A, Yu J. 2023. Influencing factors of high-speed train occupancy rate based on stepwise logistics regression model. Journal of Chongqing Jiaotong University (Natural Science), 42(1):128-136.(in Chinese)
Xu Y Z. 2007. The improvement of the non-tax revenue budget management in China. Journal of Central University of Finance&Economics,(8):1-5.(in Chinese)
Yang J J, Yang Q H. 2023. A study on the reconstruction of the relationship between human and wildlife in protected areas in the context of ecotourism. Tourism Tribune, 38(4):10-12.(in Chinese)
Yu F. 2021. How to correctly measure the engel's coefficient of rural residents in China?empirical research based on macro and micro perspectives. On Economic Problems,(7):37-44.(in Chinese)
Zeng Q, Chen W H, Liu J C. 2019. Empirical study on the correlation between human-wildlife conflict and land use in Beijing. Inner Mongolia Statistics,(6):21-25.(in Chinese)
Zeng X T, Xu Y. 2022. Research on the sustainable development level of population-natural resource system in megacities:Based on laplace mixed policy simulation. Population&Economics,(1):121-139.(in Chinese)
Zeng M T, Li Z G. 2021. An empirical analysis of eco-economic coordination degree in Beijing based on improved value equivalent factor. Ecological Economy, 37(4):163-169.(in Chinese)
Zhang H Y. 2022. Lead biodiversity conservation with ecological civilization. World Environment,(3):54-57.(in Chinese)
Zhang H, Guo Y P, Su L X, Feng C C. 2021. Coordination analysis of human settlements and economic in rural-urban fringe:a case study of Chaoyang district Beijing. Human Geography, 36(6):108-116.(in Chinese)
Zhang T Z, Jiang F, Zhang J J, Cai Z Y, Gao H M, Gu H F, Song P F. 2023. A review of wildlife conservation and management strategies of Sanjiangyuan National Park. Acta Theriologica Sinica, 43(2):193-205.(in Chinese)
Zhao X N, Chen Q, Chen T. 2022. Human-animal conflicts and the cognition of herdsmen in the Three-River-Source National Park. Journal of Arid Land Resources and Environment, 36(4):39-46.(in Chinese)
王美兔. 2022.羌塘自然保护区牧民应对人兽冲突的行为研究.北京:北京林业大学博士学位论文.
方越峦,刘建平. 2012.地区生产总值与一般预算收入关系新视角.调研世界,(1):51-55.
代云川. 2022.三江源地区人熊冲突特征、风险以及驱动因素研究.北京:中国林业科学研究院博士学位论文.
刘彦卿,郄志红,韩伟濛. 2017.基于AIC准则的击实试验曲线拟合模型优选.河北农业大学学报, 40(5):120-124.
安博文,侯震梅. 2021.客观AHP判断矩阵的构造方法研究.数量经济技术经济研究, 38(12):164-182.
李鲁洁,董娜,熊峰,罗苓隆,李弘扬. 2019.基于Cov-AHP与等级联系度的施工项目管理绩效评价研究.广西师范大学学报(自然科学版), 37(3):111-119.
杨君杰,杨茜好. 2023.生态旅游语境下自然保护地人与野生动物关系的重构研究.旅游学刊, 38(4):10-12.
邱坚坚,刘毅华,陈澄静,黄清瑶. 2023.生态系统服务与人类福祉耦合的空间格局及其驱动方式:以广州市为例.自然资源学报, 38(3):760-778.
余峰. 2021.如何正确测度我国农村居民的恩格尔系数?--基于宏观和微观视角的实证研究.经济问题,(7):37-44.
张同作,江峰,张婧捷,蔡振媛,高红梅,顾海峰,宋鹏飞. 2023.三江源国家公园野生动物保护与管理对策.兽类学报, 43(2):193-205.
张惠远. 2022.以生态文明引领生物多样性保护.世界环境,(3):54-57.
张豪,郭永沛,苏黎馨,冯长春. 2021.城乡结合部人居环境与经济协调发展分析:以北京市朝阳区为例.人文地理, 36(6):108-116.
赵晓娜,陈琼,陈婷. 2022.三江源国家公园人兽冲突现状与牧民态度认知研究.干旱区资源与环境, 36(4):39-46.
党晶晶. 2015.黄土丘陵区生态修复的生态-经济-社会协调发展评价研究.杨凌:西北农林科技大学博士学位论文.
徐长安,余娟. 2023.基于逐步Logistics回归的高铁列车上座率影响因素分析.重庆交通大学学报(自然科学版), 42(1):128-136.
徐永翥. 2007.完善我国政府非税收入预算管理的思考.中央财经大学学报,(8):1-5.
徐志高,王晓燕,宗嘎,李矿明. 2010.西藏羌塘自然保护区野生动物保护与牧业生产的冲突及对策.中南林业调查规划, 29(1):33-37.
黄勇杰. 2021.朱鹮(Nipponia nippon)野生种群时空尺度栖息地选择及适宜再引入地预测.北京:北京林业大学博士学位论文.
黄桂林,魏修路. 2019.基于组合赋权法的PPP棚改项目风险评价.土木工程与管理学报, 36(4):40-46.
蒋应红,陈珉,璩泽东,王鹏,聂大义,黄通. 2022.城市化区域野生动物通道的适用性分析.中国市政工程, 224(5):8-11, 116-117.
程一凡,薛亚东,代云川,张宇,高雅月,周杰,李迪强,刘洪江,周跃,李丽. 2019.祁连山国家公园青海片区人兽冲突现状与牧民态度认知研究.生态学报, 39(4):1385-1393.
傅利平,刘凤,孙雪松. 2020.京津冀城市群公共服务与新型城镇化耦合发展研究.城市问题,(8):4-13.
曾巧,陈文汇,刘俊昌. 2019.北京市人与野生动物冲突和土地利用相关性实证研究.内蒙古统计,(6):21-25.
曾梦婷,李志刚. 2021.基于改进价值当量因子的北京市生态-经济协调度实证分析.生态经济, 37(4):163-169.
曾雪婷,薛勇. 2022.超大城市人口-自然资源系统可持续发展水平研究:基于Laplace混合政策模拟.人口与经济,(1):121-139.
谢忠秋. 2015. Cov-AHP:层次分析法的一种改进.数量经济技术经济研究, 32(8):137-148.
青公网安备 63010402000199号
青ICP备05000010号-2
