文献类型：期刊文献

英文题名：More than urbanization: Spatial patterns and dynamics of tree canopy cover in Beijing's villages

作者：Li, Yuanchuan[1,2,3] Qiu, Erfa[1,2,3] Wang, Chenxuan[1,2,3] Zhang, Yuan[1,2,3] Jin, Jiali[1,2,3] Zhan, Xiaohong[1,2,3] Sun, Zhenkai[1,2,3]

第一作者：Li, Yuanchuan;李迎超

通信作者：Qiu, EF[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[2]Natl Forestry & Grassland Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China;[3]Natl Forestry & Grassland Adm, Urban Forest Res Ctr, Beijing 100091, Peoples R China

年份：2025

卷号：107

外文期刊名：URBAN FORESTRY & URBAN GREENING

收录：;Scopus(收录号：2-s2.0-105002736974);WOS:【SSCI(收录号:WOS:001476636300001)，SCI-EXPANDED(收录号:WOS:001476636300001)】；

语种：英文

外文关键词：Village greening; Tree canopy cover; Urbanization; Spatial patterns; Dynamics

摘要：Trees in the village play an important role in enhancing the human habitat, contributing to multiple ecosystem services. However, few studies have employed tree canopy cover as an indicator to assess the impact of urbanization on village communities' greening. In this study, we used high-resolution imagery to map the village tree cover (VTC) in Beijing and quantified urbanization intensity based on impervious surface. We analyzed the spatial patterns and dynamics of VTC along the urban-rural gradient from 2013 to 2023, and assessed the effects of both current conditions and historical urbanization developments on VTC. We also used multilevel models (MLM) to examine whether existing theories on urban tree cover distribution can be generalized to VTC. Our results showed that: (1) Beijing experienced a massive decline in aggregated VTC from 18.92 % in 2013 to 7.53 % in 2023, with the most significant decline in the exurb, where VTC decreased from 23.60 % to 7.36 %. The spatial heterogeneity led by increasing VTC along the urban-rural gradient was disappearing. (2) The current states of urbanization can explain up to 22 % of the temporal dynamics and 15 % of the spatial variations in VTC, making it a stronger predictor than historical urbanization processes. (3) Village physical characteristics better predict the spatial variations in VTC than socioeconomic context, with building density being the primary factor. Our study indicates that, in the context of urbanization, vegetation in underdeveloped village communities may be at a higher risk of rapid deterioration. Therefore, monitoring tree health and preserving trees in these regions are crucial for sustainable development. Furthermore, we improved the existing research framework by using limited cross-sectional data to assess the long-term impacts of urbanization on village greening, with the potential for generalization to developing countries.