Spatial distribution characteristics and influencing factors of forest villages in Zhejiang Province
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摘要:
目的 探讨森林乡村的空间分布特征及其影响因素，便于优化森林乡村的空间布局。正确认识森林乡村的形成因素，助推生态文明建设及乡村振兴。 方法 以浙江省447个森林乡村为研究对象，综合运用空间基尼系数、核密度分析、空间自相关等方法分析森林乡村的空间分布特征，并采用皮尔逊(Pearson)相关性分析、地理探测器等方法探究影响其空间分布的自然及人文因素。 结果 ① 从整体空间上看，浙江省森林乡村呈现集聚型的分布状态，具有“小范围聚集，大范围分散”的多中心组团分布特点。②从区域空间上看，在五大分区及市域层面上分布不均衡，整体呈现“西多东少”的分布格局。③从整体空间密度上看，形成了双核心集聚区和双核心连绵区。④从空间分布关联上看，呈现西南部热，东北部冷的空间关联特征，次冷点区域变化较小，热点区域呈现条带状分布向条状及零星分布状转变。⑤浙江省森林乡村的空间分布受地形地貌、气候条件、河流水系、森林资源、文化资源、社会经济基础、交通通达性的综合影响。 结论 由于自然及人文的综合影响，浙江省森林乡村的空间分布差异显著。森林乡村的建设与发展中，地形、气候及河流孕育其生态环境，而交通、文化资源及社会经济基础关乎其发展的基础条件、资源优势及经济支撑。今后浙江省在森林乡村建设中，要基于资源优势、基础条件及本地发展政策，坚持科学规划、因地制宜、协同布局等举措以实现全域发展，为生态文明建设提供高质量的浙江样板。图4表2参32 Abstract:Objective This study is to explore the spatial distribution characteristics and influencing factors of forest villages, so as to optimize the spatial layout and understand the forming factors, so as to comprehensively promote the construction of ecological civilization and rural revitalization. Method The spatial distribution characteristics of 447 forest villages in Zhejiang Province were analyzed using spatial Gini coefficient, nuclear density analysis and spatial autocorrelation, and the natural and human factors affecting their spatial distribution were explored by Pearson correlation analysis and geographic detectors. Result (1) The overall spatial distribution of forest villages was in an agglomerated distribution state, with the characteristics of multi-center clusters of “small-scale aggregation and large-scale dispersion”. (2) The regional spatial distribution was uneven at the level of five major districts and cities, displaying a distribution pattern of “more in the west and less in the east”. (3) In terms of overall spatial density, a dual-core agglomeration area and a dual-core continuous area were formed. (4) In terms of spatial distribution correlation, it showed the spatial correlation characteristics of hot in the southwest and cold in the northeast. The change of sub-cold spot area was small, and the hot spot area changed from strip distribution to strip and sporadic distribution. (5) The spatial distribution of forest villages in Zhejiang Province was affected by topography, climate conditions, river systems, forest resources, cultural resources, socio-economic foundation and traffic accessibility. Conclusion Due to the comprehensive influence of nature and humanity, the spatial distribution of forest villages in Zhejiang Province is significantly different. Topography, climate and rivers nurture their ecological environment, while transportation, cultural resources and socio-economic foundations are related to basic conditions, resource advantages and economic support of their development. We should, according to resource advantages, basic conditions and local development policies, adhere to scientific planning, local conditions, coordinated layout and other measures so as to achieve global development, providing high-quality Zhejiang models for the construction of ecological civilization.[Ch, 4 fig. 2 tab. 32 ref.] -
Key words:
- forest village /
- geographic detector /
- spatial distribution /
- influencing factors /
- Zhejiang Province
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图 1 浙江省5个地区森林乡村数量统计
Figure 1 Number statistics of the forest villages in the five major divisionsin in Zhejiang Province
图 2 浙江省市域尺度森林乡村分布洛仑兹曲线
Figure 2 Lorenz curve of distribution of forest villages on the city scale in Zhejiang Province
图 3 浙江省森林乡村核密度分布图
Figure 3 Kernel density estimation of forest villages in Zhejiang Province
图 4 浙江省森林乡村冷热点空间分析图
Figure 4 Cold and hot spot analysis of forest villages in Zhejiang Province
表 1 浙江森林乡村的全局空间自相关指数
Table 1. Global I index of forest villages in Zhejiang Province
森林乡村批次 I Z P 第2批森林乡村 0.398 3 5.447 0 0.000 0 第1批森林乡村 0.710 3 9.608 2 0.000 0 2批森林乡村 0.786 2 10.617 0 0.000 0 
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表 2 森林乡村与社会经济指标的Pearson相关系数
Table 2. Pearson correlation coefficients between forest villages and socio-economic indicators
指标 Pearson相关系数 q 第三产业增加值 0.356** 0.151 森林康养基地数量 0.237 0.069 人口密度 −0.664 0.485 人均GDP −0.239* 0.143 说明：*为P＜0.05，**为P＜0.01
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