四川天府新区BGI复合功能空间分异特征及其景观格局驱动机制研究

Study on the spatial differentiation characteristics of BGI multi-function composite function and its landscape pattern driving mechanism in Sichuan Tianfu New Area

摘要:

蓝绿基础设施（Blue-Green Infrastructure, BGI）是实现适应气候变化战略目标的重要工具.研究BGI景观格局和功能的空间关系，旨在为城市气候适应性建设提供依据.以四川天府新区（含协调管控区）为例，基于遥感影像数据，从气候适应性视角出发，进行BGI复合功能评价和空间分异特征分析，并运用地理探测器进一步揭示景观格局主要驱动因子及驱动机制.结果表明：（1）复合功能等级整体呈现从龙泉山脉向东西两侧递减趋势，高服务功能集中分布在龙泉山脉、彭祖山景区和三岔湖景区东南方向的协调管控区域.（2）复合功能等级空间分布格局整体呈显著空间正向自相关关系，具有显著高高（HH）、低低（LL）、高低（HL）聚集特征.（3）景观组成类型、网络结构要素类型、斑块密度指数（PD）和面积加权平均形状指数（AWMSI）是复合功能空间分异的主要驱动因子；景观组成类型、网络结构要素类型是复合功能空间分异的主要交互驱动因子.研究探明了景观格局对BGI复合功能空间分异的驱动机制，可用于指导研究区城市气候适应性建设.

Abstract:

Blue Green Infrastructure (BGI) is an important tool to achieve the strategic goal of climate change adaptation. The purpose of studying the spatial relationship between BGI landscape pattern and function is to provide a basis for urban climate adaptability construction. Taking the Sichuan Tianfu New Area (including the coordinated control area) as an example, based on remote sensing image data and from the perspective of climate adaptability, the BGI multi-function evaluation and spatial differentiation feature analysis were carried out, and further revealed the main driving factors and driving mechanism of landscape pattern of BGI multi-function by using geographical detectors. The results showed that: （1) The overall multifunction level showed a decreasing trend from Longquan Mountain to the east and west sides, with high-service functions concentrated in the Longquan Mountains, Pengzu Mountain Scenic Area and coordinated control area in the southeast direction of Sancha Lake Scenic Area. （2) The overall spatial distribution pattern of the multi-function level showed a significant spatial positive autocorrelation relationship, with significant high (HH), low (LL), and high (HL) clustering characteristics. （3) Landscape composition type, network structure element type, patch density index (PD) and area weight average shape index (AWMSI) were the main driving factors for spatial differentiation of multi-function; landscape composition type and network structure element type were the main interactive driving factors for spatial differentiation of multi-function. The study has identified the driving mechanism of landscape pattern on the spatial differentiation of BGI multi-function, which can be used to guide the construction of urban climate adaptability in the study area.