Urban blue–green space landscape ecological health assessment based on the integration of pattern, process, function and sustainability

Abstract

Landscape ecological health (LEH) assessment of blue–green space is vital for the management and restoration of the urban environment. At present, existing LEH assessment research has mainly focused on the single measurement of landscape pattern or external ecological service function, ignoring the effect mechanism. Moreover, there is a lack of targeted assessment of urban blue–green space LEH. In this study, we constructed an urban blue–green space LEH assessment framework based on the integration of pattern, process, function and sustainability, and conducted an empirical analysis in Harbin, a megacity in Northeastern China. The results showed that the spatial changes in the four assessment units of landscape ecological pattern, process, function and sustainability were not coordinated in the study area. From 2011 to 2020, the overall condition of blue–green space LEH in the study area improved but still at an unhealthy level, and the spatial difference increased. Grassland, water and wetland suffered from the widespread degradation of LEH in the study area, and the LEH level improvement type had the largest area proportion, and the stabilization type had the smallest. Moreover, based on the spatial autocorrelation analysis, we clarified the LEH spatial correlation characteristics of the study area and proposed targeted optimization suggestions. Our assessment framework will extend the LEH assessment scope and methodology, and the research results can provide significant references for urban blue–green space protection and management.

Research on the Application of Improved K-Means Spatial Clustering Algorithm in Landscape Conservation of Gardens

“…ALGORITHM 3: Improved K-means space clustering algorithm. are K m,n PSO obtained by clustering on the whole sample data set using the clustering method on the A1 dimension group, and then the same method is applied on the A2 dimension to first cluster (1,3,5,6,10) clustering to get two classes (3,5) and (1,10), and similarly clustering (0, 2, 4, 8, 9) in A2 dimension to get two more classes (0, 2, 8) and (4, 9), followed by clustering (3,5), (1,10), (0, 2, 8), and (4, 9) in A3 dimension again to get the final clustering results (3,5), (1,10), and (2,8). e clustering process is shown in Figure 8.…”

“…. ., 24; first, the whole sample data set is clustered on the A1 dimensional group using the clustering method to obtain three classes of K m,n PSO (1,4,7,10,13,16,19,22), (2, 5, 8, 11, 14, 17 20, 23), and (3,6,9,12,15,18,21,24), and then apply the same method to cluster (1,4,7,10,13,16,19,22) first in A2 dimension to obtain one class (1,4,7,10,13,16,19,22) and cluster (2,5,8,11,14,17,20,23) in A2 dimension to obtain two classes (2,5,8,11,14,17) and (20,23), and one class (3,…”

“…e current domestic professional laws and regulations on the protection and management of historical and cultural landscape resources are searched, and related technical research and thesis materials are few and far between. e general lag in the development of laws and regulations and the relative lack of technical means of protection and management have also led to different degrees of damage to the protection of each major cultural landscape in China [2].…”

Enhancing urban blue-green landscape quality assessment through hybrid Genetic Algorithm-Back Propagation (GA-BP) neural network approach: a case study in Fucheng, China

“…The urban blue-green landscape quality plays a vital role in the sustainable development of modern cities. Therefore, it is important to thoroughly assess and understand the key factors in this field (Song et al, 2022;Wu et al, 2021). This study adopted the genetic algorithm backpropagation neural network method to evaluate urban blue-green landscape quality in the Fucheng area of China.…”

A Comprehensive Evaluation of Supply and Demand in Urban Parks along “Luck Greenway” in Fuzhou

“…An urban park comprises green and blue spaces (GBSs), which are both important components in a multi-functional urban ecosystem [1,2]. GBSs provide spaces of nature in built-up regions of a city to function as cultural ecosystem services [3,4].…”