基于格网的中国国家森林乡村空间分布特征及其影响因素  

Spatial Distribution Characteristics and Influencing Factors of National Forest Villages Based on Grid in China

作　　者：翁翎燕 濮励杰[2,3] 张超[4] 许艳 WENG Lingyan;PU Lijie;ZHANG Chao;XU Yan(School of Tourism Management,Nanjing Institute of Tourism&Hospitality,Nanjing 211100,China;School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China;Key Laboratory of Coastal Zone Exploitation and Protection,Ministry of Natural Resources,Nanjing 210023,China;School of Public Administration,Nanjing Agricultural University,Nanjing 210095,China;School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,Jiangsu,China)

机构地区：[1]南京旅游职业学院旅游管理学院,南京211100 [2]南京大学地理与海洋科学学院,南京210023 [3]自然资源部海岸带开发与保护重点实验室,南京210023 [4]南京农业大学公共管理学院,南京210095 [5]苏州科技大学环境科学与工程学院,江苏苏州215009

出　　处：《亚热带资源与环境学报》2023年第3期1-10,共10页Journal of Subtropical Resources and Environment

基　　金：国家自然科学基金项目(41871083、42171245、41701609);江苏省高校哲学社会科学研究项目(2021SJA0785);江苏省职业教育智慧旅游技术应用“双师型”名师工作室项目;南京旅游职业学院科研创新团队(2021KYTD03)。

摘　　要：森林乡村是一种重要的新型乡村类型。认知国家森林乡村的空间分布及其影响因素对推动乡村生态文明建设,促进乡村振兴和可持续发展具有重要意义。以中国国家森林乡村为研究对象,分析国家森林乡村的空间分布特征及其影响因素,为推动乡村生态文明建设,促进乡村振兴和可持续发展提供建议。运用探索性空间数据分析法对7586个国家森林乡村的空间分布特征进行分析,在格网尺度下,综合运用地理探测器、OLS模型和GWR模型对其空间分布的影响因素进行定量研究和空间异质性分析。结果表明:1)国家森林乡村有着显著的空间集聚性特征,呈现东多西少的空间分布格局。2)国家森林乡村呈现东南部热,西北部、东北、云南等地冷的空间关联特征,热点区表现为“带状+团状”的空间特征,冷点地区变化较小。3)海拔和GDP密度与国家森林乡村分布呈负相关,其余因子均为正相关,但在空间上,各显著性因子的影响均存在正负效应。4)GDP密度、路网密度以及人口密度的影响程度位列前三。各因子影响程度的空间异质性较强,海拔影响的显著区域位于中国东南部地区,而在西部地区,人口密度、GDP密度及林地面积占比对国家森林乡村的分布起到显著作用。中国国家森林乡村空间分布差异明显,影响因素的空间异质性强,在不同区域可以采用差别化的建设方式。Forest village is one of the new and important type of villages.It is of great significance to understand the spatial distribution of national forest village and its influencing factors to promote the construction of rural ecological civilization and promote rural revitalization and sustainable development.Taking China s national forest villages as the research object,this study analyzed the spatial distribution characteristics and influencing factors of national forest villages.It proposed suggestions for promoting the construction of rural ecological civilization,promoting rural revitalization and sustainable development.Exploratory spatial data analysis(ESDA)was adopted to analyze the spatial distribution characteristics of 7586 national forests villages.At the grid scale,an integration of geographic detectors,OLS models and GWR models were used to quantitatively study the factors affecting their spatial distribution and spatial heterogeneity.The results elaborated that,1)the national forest villages show significant spatial agglomeration characteristics.The high kernel density areas are always located in the southeast half of the Hu Huanyong Line,showing a spatial distribution pattern of more in the east and less in the west.2)The spatial association feature is that the southeast is the hot spot of national forest villages,while the northwest,northeast and Yunnan province are cold spots.Hot spots show the spatial characteristics of“zonal+cluster”,while cold spots have little change.3)Altitude and GDP density are negatively related to the distribution of national forests and villages,while the other factors are positively correlated,in terms of space,each significant factor has both positive and negative effects.4)The influence of GDP density,road network density and population density ranks among the top three.The spatial heterogeneity of the influence degree of each factor is strong.The significant areas affected by altitude are located in the southeast in China,while population density,GDP density and f

关 键 词：国家森林乡村 格网分析 空间分布 影响因素 中国 

分 类 号：K901.8[历史地理—人文地理学]