An integrative socio-hydrological resilience assessment and management implications for oasis sustainability in arid regions, Northwest China

Liu, Lei; Xue, Jie; Mao, Donglei; Chang, Jingjing; Wang, Shunke; Li, Xinxin

doi:10.1016/j.ejrh.2023.101389

Cited by 4 publications

(2 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the above four natural indicators are removed from the scale and their values are mapped to the [0, 1] interval using Equation (6). The 1st principal component PC1 can be obtained by using the principal component analysis module, and the initial ecological index is obtained, and then the RSEI of the image element is obtained by using Equation (7). The quality of the ecological environment is classified into five levels, and the corresponding values are as follows: poor (0−0.2), poor (0.2−0.4), moderate (0.4−0.6), good (0.6−0.8), and excellent (0.8−1).…”

Section: Rsei Model Constructionmentioning

confidence: 99%

“…At the same time, the expansion of artificial oases and the shrinkage of natural oases have made the ecosystem more fragile [5,6]. Harmonious development of oasis expansion and the ecological environment has become the most basic requirement and trend of ecological civilization construction and sustainable development goals [7]. Therefore, long-term monitoring of the changing law of oasis ecological environment quality and exploring the potential factors affecting its change has become a hot research topic in the field of ecological environment change in arid zones [8,9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Spatial and Temporal Trends of Ecological Environment Quality and Influencing Factors in Xinjiang Oasis

Zhang,

Deng

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Human activities and climate change have profound impacts on the ecological environment of oases in Xinjiang, and it is of great significance to explore the spatial and temporal evolution patterns of ecological environment quality in this region for the sustainable development of Xinjiang. The remote sensing ecological index (RSEI) was extracted from the Google Earth Engine (GEE) platform from 2000 to 2020, and the coefficient of variation and Hurst index were used to reveal the spatial and temporal characteristics and stability of the ecological environment quality of the artificial oasis and natural oasis in Xinjiang. The key factors affecting the ecological environment quality are explored through correlation analysis and geoprobes. The results show that the distribution of the ecological environment in Xinjiang oases is high in the north and low in the south, and the overall quality shows a fluctuating downward trend from 0.210 to 0.189. Artificial oases have higher RSEI values, stability, and sustainability than natural oases. The RSEI in the study area was mainly influenced by humidity, followed by greenness and heat, and dryness had the least influence on the RSEI model. Based on the geodetector, the top three highest contributors were found to be precipitation (PRE) (0.83) > relative humidity (RHU) (0.82) > evapotranspiration (ET) (0.57). Climate is the main factor affecting the ecological quality of oases, and the RSEI can be improved by increasing the proportion of artificial oases. The study aims to provide a scientific basis for the sustainable development of oases in arid zones.

show abstract

Section: Rsei Model Constructionmentioning

confidence: 99%