Analysis of the Spatial and Temporal Variability and Factors Influencing the Ecological Resilience in the Urban Agglomeration on the Northern Slope of Tianshan Mountain

Abstract

Based on land-use change data, this paper constructed an ecological resilience evaluation model from the three dimensions of resistance, adaptability, and regeneration capacity. The spatial and temporal evolution characteristics of the ecological resilience of urban agglomeration on the northern slope of Tianshan Mountain (UANST) from 1990 to 2020 were studied. The key factors affecting the spatial distribution of ecological resilience were detected. The results showed that (1) from 1990 to 2020, the mean ecological resilience values of the UANST were 0.3371, 0.3326, 0.3330, and 0.3240, showing an overall decreasing trend. The regions with low and medium values of ecological resilience contributed the most to these values. (2) The spatial distribution of the ecological resilience of the UANST was uneven, showing a “sandwich”-type distribution with low values in the south and north of the study area and high values in the middle of the study area. During the study period, the ecological resilience in the north part of the study area declined overall, while the ecological resilience in the south part of the study area increased continuously. (3) The results of the Geodetector model showed that natural and human factors jointly influenced the spatial distribution of the ecological resilience of the UANST, with natural factors dominating and temperature changes being the most sensitive. Finally, the impact of intense human activities on the ecological resilience of the UANST is increasing.

Spatial-temporal evolution and influencing factors of ecological resilience in urban agglomerations: a case study of Shanxi section of the Yellow River Basin

“…The regional development of North Shanxi urgently needs to strengthen its ties with other regions and form a mutual aid link for overall development to enhance the urban ecological resilience of Shanxi Province. Tong et al (2023) suggested that both natural and human factors affected the spatial distribution of ecological resilience of the northernslope of Tianshan Mountain. Shi et al (2022) suggested that socio-economic development was the main influencing factors of urban ecological resilience.…”

Evaluation of rural ecological resilience from the perspective of communities and farmers: a study on Laochehe ethnic minority village in China

“…Land is the foundation for rural social and economic activities, and any alterations in land use mirror the dynamic repercussions for rural social-ecological systems (Skerratt 2013, Berke and Ross 2013, Tong et al 2023. Ecosystem services encompass the conditions of the natural environment and the benefits generated by ecosystems during the ecological processes that sustain human existence, which are often discernible through land-use changes (Yin et al 2021).…”

“…Ecosystem services encompass the conditions of the natural environment and the benefits generated by ecosystems during the ecological processes that sustain human existence, which are often discernible through land-use changes (Yin et al 2021). There is a noteworthy correlation between ecological resilience and ecosystem services (Tong et al 2023). Some scholars have calculated the value of ecosystem services in China using the value equivalent factor method per unit area, referencing the prices of China's three major grain crops (Xie et al 2015a, Xie et al 2015b).…”

Detection of Vegetation Cover Changes from 1988-2022 in the University of Baghdad Campus by Remote Sensing and GIS Techniques (Normalized Difference Vegetation Index (NDVI) and Soil-Adjusted Vegetation Index (SAVI)

“…The values of NDVI have a range of (+1 to -1) in general, if the result is positive, it is an indicator that the cell has a plant cover, and the higher the resulting positive value, the greater the vegetation, and density of the plants and have healthier and the opposite is true with regard to the negative values that indicate non-green surface features [23,24].…”