基于GIS的中国森林乡村空间结构及影响因素研究  被引量:14

Spatial structure of forest villages in China and the influencing factors

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作  者:杨燕[1,2,3] 胡静 李亚娟[1,2] 陈云[1,3] 蒋亮 YANG Yan;HU Jing;LI Yajuan;CHEN Yun;JIANG Liang(Central China Normal University,Wuhan 430079;Wuhan Branch of China Tourism Academy,Wuhan 430079;Hubei Key Laboratory for Geographical Process Analysis&Simulation,Wuhan 430079,China)

机构地区:[1]华中师范大学城市与环境科学学院,武汉430079 [2]中国旅游研究院武汉分院,武汉430079 [3]华中师范大学地理过程分析与模拟湖北省重点实验室,武汉430079

出  处:《干旱区资源与环境》2021年第6期182-191,共10页Journal of Arid Land Resources and Environment

基  金:华中师范大学中央高校基本科研业务费项目(CCNU20BG003)资助。

摘  要:以7586个国家级森林乡村为研究对象,利用GIS空间分析法和逐步回归分析法测度国家森林乡村空间结构及影响因素。结果表明:1)国家森林乡村在空间上呈非均衡性特征,由西南和长江中下游地区向西北、东北地区逐渐减少。2)核密度表现为两个单核中心独立、次级中心环绕以及带状、块状分布特征,北京、浙江与安徽交界处为双核中心。3)国家森林乡村呈显著的空间正相关,核心热点区为长江中下游地区,向东北、西北和西南地区逐渐变冷点区分布态势;具有"聚原近河亲微斜坡、向阳坡集亚热带常绿阔叶林"分布特征。4)逐步回归和GWR模型的结合能更精准揭示影响因素的作用强度、方向和空间特征。除路网密度外,河网密度、常住人口、森林覆盖率和农村居民人均可支配收入与国家森林乡村呈正相关,在不同的地级市,不同因素对国家森林乡村的作用不同,呈显著的空间异质性影响。Taking 7,586 national forest villages as the research objects,GIS spatial analysis method and stepwise regression method were used to measure the spatial structure of national forest villages and its influencing factors.The results show that:1)The number of forest villages gradually decreases from the southwest and the middle and lower reaches of the Yangtze River to the northwest and northeast.2)The nuclear density is characterized by two independent single-core centers,surrounded by secondary centers,showing banded and massive distribution.The intersection areas of Beijing,Zhejiang and Anhui Province are dual-core centers.3)National forest villages have a significant positive spatial correlation.The core hot spot is the Yangtze River,and the spatial distribution trend of cooling point areas gradually changes to the northeast,northwest,and southwest regions.It has the spatial distribution characteristics of"gathering plains,near river,closing micro slope,in subtropical evergreen broad-leaved forest,and on sunny slope".4)The combination of stepwise regression and the GWR model can more accurately reveal the intensity,direction,and spatial feature.In addition to road network density,the river network density,permanent population,forest coverage,and per capita disposable income of rural residents are positively correlated with national forest villages.In different prefecture-level cities,natural,social,and economic factors have different effects on national forest villages,and significantly influence the spatial heterogeneity.

关 键 词:国家森林乡村 空间结构 影响因素 GIS 

分 类 号:X144[环境科学与工程—环境科学]

 

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