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Establishing an ecological security pattern for urban agglomeration, taking ecosystem services and human interference factors into consideration.

ABSTRACT: The assessment of ecological security patterns is a topic of conversation in landscape ecology in recent years. However, ecosystem services and human activities are seldom considered comprehensively in the assessment of ecological security patterns. The present study employs the Beijing-Tianjin-Hebei urban agglomeration as a study area, and uses ecological services to determine the ecological sources. The importance of ecological sources is classified based on logical coding and functional types of ecological services. The research combines regional characteristics to select and quantitatively calculate three human disturbance factors: soil erosion sensitivity, geological hazard sensitivity, and night lighting. Then the basic surface resistance of land use to limit migration is modified and ecological corridors are identified by combining these three disturbance factors. The results indicate that the sources of water production, soil and water conservation, and carbon fixation are mainly provided in mountainous areas, recreation sources are mostly distributed in the plains, and these ecological sources improve the maintenance of ecological corridors. The modification of resistance surfaces significantly changes the length of ecological corridors in Tianjin, Tangshan, Cangzhou, and Beijing, and the modified resistance surface improves the recognition of ecological corridors. This study provides a new research framework for identifying the ecological security patterns of urban agglomerations and provides scientific guidance related to ecological protection and urban planning for the Beijing-Tianjin-Hebei urban agglomeration.

SUBMITTER: Wang D

PROVIDER: S-EPMC6637928 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The ecological security pattern construction could effectively regulate ecological processes and ensure ecological functions, then rationally allocate natural resources and green infrastructure, and, finally, realize ecological security. In view of serious soil erosion, accelerated land desertification, soil pollution and habitat degradation in Shanxi Province, the spatial distribution of six key ecosystem services, including water conservation (WC), soil conservation (SC), sand fixation (SF), carbon storage (CS), net primary productivity (NPP) and habitat quality (HQ), was analyzed by using multiple models. The comprehensive ability of multiple ecosystem services in different regions was quantified by calculating multiple ecosystem services landscape index (MESLI). Combined with ecosystem services hotspots, the ecological security pattern of Shanxi Province was constructed by using the minimum cumulative resistance model. The results showed that the spatial differences in ecosystem services in Shanxi Province were obvious, which was low in the seven major basins and Fen River valley, and high in the mountains (especially Taihang and Lvliang Mountains) for WC, SC, CS, NPP and HQ, while high SF was only distributed in the northern Shanxi. The MESLI showed that the ability to provide multiple ecosystem services simultaneously was low in Shanxi Province, with the medium and low grade MESLI regions accounting for 58.61%, and only 18.07% for the high grade MESLI regions. The important protected areas and ecological sources of the ecological security pattern were concentrated in the Lvliang and Taihang Mountains, which were consistent with the key areas of ecosystem services. The ecological corridors illustrated network distribution with ecological sources as the center, the low-, medium- and high-level buffers accounted for 26.34%, 17.03% and 16.35%, respectively. The results will provide important implications for economic transformation, high-quality development and ecological sustainable development in resource-based regions worldwide.

Project description:Urban green space (UGS) provides multiple cultural ecosystem services (CES) and enhances people's physical and mental well-being. The importance of UGS was more critical during crisis periods such as the COVID-19 pandemic. Recently, UGS has been under severe threats due to rapid urban expansion and climate change. Particularly, the cities in developing countries have experienced a dramatic loss of green spaces due to land use and land cover (LULC) change. This study aims to assess the impact of the COVID-19 pandemic on CES perception obtained from two public UGS, i.e., Subhankar Sishu Uddyan (SSU) and Bandh Road (BR) in English Bazar Urban Agglomeration (EBUA), Eastern India. A survey was performed to assess the valuation of CES, CES obtained from UGS, and the use of CES difference during partial (unlock phases) and after lockdown periods. The non-parametric tests were carried out to understand the significant differences between CES and UGS perceived by the respondents. Explanatory factor analysis was also performed to find the association among CES for each UGS. The results reported substantial variations of UGS use during partial and after lockdown periods. During the after-lockdown period, the UGS mainly were used for social relations (51%), spending time with relatives and friends (25%), spending time with children (11%) in SSU and walking (25%), spending time with relatives and friends (21%), and physical activities (17%) in BR. During the partial lockdown period, a significant difference between SSU and BR was recorded from social relations and health value among all CES. After the full lockdown period, a significant difference was observed in recreation, social relations, health, and aesthetic value. The frequency and duration of UGS use during partial lockdown periods substantially increased. About 12% of the total visitor visited UGS daily after the lockdown, whereas it was 4% during the partial lockdown. The study's findings will assist urban planners and policymakers in understanding the need for UGS to promote the well-being of the citizens.

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Establishing an ecological security pattern for urban agglomeration, taking ecosystem services and human interference factors into consideration.

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