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Optimization of landscape pattern in China Luojiang Xiaoxi basin based on landscape ecological risk assessment
•10-meter high-precision raster elements are selected as the basic units for landscape ecological risk evaluation in the study area.•20 evaluation factors are selected from the three dimensions of the “natural environment-human society-landscape pattern” to establish the evaluation index system.•The...
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Published in: | Ecological indicators 2023-02, Vol.146, p.109887, Article 109887 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •10-meter high-precision raster elements are selected as the basic units for landscape ecological risk evaluation in the study area.•20 evaluation factors are selected from the three dimensions of the “natural environment-human society-landscape pattern” to establish the evaluation index system.•The comprehensive optimization scheme of landscape patterns in key areas can best synergize ecological services.•The selection of ecological source sites is based on four landscape pattern indices that indicate landscape connectivity and patch importance (LCP, LLC, PC, DI).•Optimizing landscape ecological units can improve the connectivity and stability of landscape patterns within the study area.
Multi-source ecological risks have induced many ecological pollution problems that cannot be ignored and seriously threaten regional ecological security. Constructing and optimizing the landscape pattern is beneficial to improve watershed ecosystem services. In this study, an innovative method is proposed to construct and optimize the landscape pattern, which takes Luojiang-Small Creek watershed as an example. 10-meter high-precision raster elements are selected as the basic unit for landscape ecological risk evaluation, and 20 evaluation factors are selected from three dimensions of “natural environment-human society-landscape pattern” to establish the evaluation index system. The spatial principal component-redundancy analysis (SPCA-RDA) was used to comprehensively evaluate the landscape ecological risk in 2019, and the minimum cumulative resistance model (MCR) and gravity model were used to optimize the landscape pattern of the watershed. The results show (1) Human social and landscape pattern factors have a more significant influence on the integrated ecological risk, while natural factors, except for soil type and vegetation cover, have a weaker influence on the integrated ecological risk. (2) The overall landscape ecological risk is low, and the area of the mild landscape ecological risk zone is 259.89 km2, accounting for 81.68 % of the study area. According to the MCR model and gravity model, forest land with an area larger than 1 km2 and water bodies and grassland with an area larger than 0.01 km2 were identified as ecological source sites. (3) 17 potential ecological corridors were constructed, including 4 road-type corridors, 9 green belt-type corridors and 4 river-type corridors, with a total length of 68.72 km, and 22 potential ecological nodes were identified |
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ISSN: | 1470-160X 1872-7034 |
DOI: | 10.1016/j.ecolind.2023.109887 |