Abstract
Habitat destruction and declining ecosystem service levels caused by urban expansion have led to increased ecological risks in cities, and ecological network optimization has become the main way to resolve this contradiction. Here, we used landscape patterns, meteorological and hydrological data as data sources, applied the complex network theory, landscape ecology, and spatial analysis technology, a quantitative analysis of the current state of landscape pattern characteristics in the central district of Harbin was conducted. The minimum cumulative resistance was used to extract the ecological network of the study area. Optimized the ecological network by edge-adding of the complex network theory, compared the optimizing effects of different edge-adding strategies by using robustness analysis, and put forward an effective way to optimize the ecological network of the study area. The results demonstrate that: The ecological patches of Daowai, Xiangfang, Nangang, and other old districts in the study area are small in size, fewer in number, strongly fragmented, with a single external morphology, and high internal porosity. While the ecological patches in the new districts of Songbei, Hulan, and Acheng have a relatively good foundation. And ecological network connectivity in the study area is generally poor, the ecological corridors are relatively sparse and scattered, the connections between various ecological sources of the corridors are not close. Comparing different edge-adding strategies of complex network theory, the low-degree-first strategy has the most outstanding performance in the robustness test. The low-degree-first strategy was used to optimize the ecological network of the study area, 43 ecological corridors are added. After the optimization, the large and the small ecological corridors are evenly distributed to form a complete network, the optimized ecological network will be significantly more connected, resilient, and resistant to interference, the ecological flow transmission will be more efficient.
Highlights
Under the background of rapid urbanization, excessive utilization and development of urban resources and environment lead to deterioration of the regional ecological environment and obstruction of ecosystem service function, which seriously affects regional landscape pattern and sustainable development [1,2,3,4]
The landscape pattern indexes describe the complexity of the type and arrangement of http://www.gscloud.cn), through a series of pre-processing, and human-computer interaction is applied to decode tion
According to the number of patches (NP) and class area (CA) indexes, there are 198 ecological patches with a total area of 64,999.71 hm2 in the study area, the ecological patches are small in size and fewer in number in Daowai, Xiangfang, Nangang, and Pingfang districts, and large in size and more numerous in Songbei, Hulan, and Acheng districts
Summary
Under the background of rapid urbanization, excessive utilization and development of urban resources and environment lead to deterioration of the regional ecological environment and obstruction of ecosystem service function, which seriously affects regional landscape pattern and sustainable development [1,2,3,4]. A northern provincial capital city with increasingly serious ecological environment problems, to conduct a study on the optimization of its central urban landscape ecological portant influence and role in improving the regional ecological environment and the living environment and quality of life. This study breaks through the previous situation of using complex network theory to optimize the landscape ecological network in large scale desertification areas and seHarbin, a northern provincial capital city with increasingly serious ecological enviInt. J. The aims of this studyaiming were to: build an urban landscape ecological network pattern with complete ecological functions (1) start from land use, use GIS spatial analysis techniques for remote sensing interpretaand of connected network. To provide a scientific basis andstrategies decision by support robustness analysis, and propose an effective way to optimize the regional ecology in for ecological network connectivity and good ecological environment restoration in the the study area. Connectivity and good ecological environment restoration in the study area
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