ArticleScientific reports2022
Urban blue-green space landscape ecological health assessment based on the integration of pattern, process, function and sustainability.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The impact of blue-green spatial landscape pattern on population distribution pattern in Chinese cities.Scientific reports · 2025Article
- Article
- Enhancing urban blue-green landscape quality assessment through hybrid genetic algorithm-back propagation (GA-BP) neural network approach: a case study in Fucheng, China.Environmental monitoring and assessment · 2024Article
- Optimizing the ecological network of resource-based cities to enhance the resilience of regional ecological networks.Environmental science and pollution research international · 2024Article
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Authors and funding
5 authors.
Funding
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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.
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