深圳市绿色基础设施网络演变与驱动机制研究

The spatio-temporal pattern evolution and driving factors of urban Green Infrastructure network in Shenzhen

城市绿色基础设施(GI)作为维系城市人居安全的重要支撑系统,是缓解城市快速扩张下生态问题、提升城市生态系统服务能力和绿色可持续发展水平的重要途径。基于景观连通性和地理探测器分析方法,探讨了2000—2020年深圳市GI时空演变特征及其驱动因素,结果表明:1)深圳市2000—2020年GI规模呈现持续缩减趋势且区域差异显著,差异显著的区域主要分布于大鹏区、盐田区、罗湖区和坪山区;2)深圳市2000—2020年GI斑块连通性持续降低,构建全域GI网络的合理距离阈值变大;3)深圳市GI网络连接市域范围内的山、水、林、湖等绿色生态要素,构成贯穿东西的网络主轴;4)单因子探测显示,对GI网络影响最显著的因素分别为土地利用强度、夜间灯光,交互因子探测显示土地利用强度与其他因子对GI的交互影响呈现显著双因子增强或非线性增强的特征。研究结果有助于推动GI网络的保护与优化,为深圳市绿色生态空间的规划建设和可持续发展提供参考。

As an important support system to maintain the security of urban human settlements,Urban Green Infrastructure can not only alleviate the ecological problems under the rapid urban expansion,but also improve the capacity of ecosystem services and promote sustainable development.Taking Shenzhen as an case,the spatio-temporal pattern and driving factors of Green Infrastructure were analysed by connectivity and geo-detectors.The results showed that:The Green Infrastructure scale showed a trend of continuous reduction from 2000 to 2020 in Shenzhen,which was mainly controlled by the decrease of patches larger than 1 km^(2),while Green Infrastructure showed significant regional differences,which mainly distributed in Dapeng,Yantian,Luohu and Pingshan;The patches connectivity of green infrastructure ware decreased continuously from 2000 to 2020 in Shenzhen,leading to the increase of the optimal distance threshold of connecting landscape elements;Green Infrastructure network connects with green ecological elements such as mountains,water,forests and lakes within Shenzhen,which formed the main axis of green infrastructure network running through the east and west;The single factor detection shows that the most significant factors of Green Infrastructure network were land use intensity and nightlight.The interaction factor detection showed that the interactive influence of land use intensity and other factors on Green Infrastructure presented the significant characteristics of double factor enhancement or nonlinear enhancement.