Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Mamattursun, Azimatjan; Han, Yang; Ablikim, Kamila; Obulhasan, Nurbiya

doi:10.3390/ijerph192215323

Cited by 9 publications

(3 citation statements)

References 72 publications

(77 reference statements)

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“…The basin is characterized by large temperature differences, low precipitation, long winters, and large annual differences in temperature. The average annual temperature is 5.7 • C; the average annual precipitation ranges from 70 to 500 mm and is 100 mm in the northern desert area [36]. Land use in the study area consists of six types: cultivated land (farmland), forest, grassland, water body, construction land, and unused land.…”

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Ablikim,

Yang,

Mamattursun

2023

Sustainability

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Evapotranspiration (ET) is a key indicator of arid and semi-arid ecosystem processes and hydrological cycles. The study of basin-scale ET characteristics and drivers can provide a better understanding of regional water balance and energy cycles. This study used the Pixel Information Expert Engine platform based on MODIS (MOD16A2) data to extract the separate spatial and temporal characteristics of interannual and seasonal ET in the Urumqi River Basin in Xinjiang, China, over a 20-year period, from 2000 to 2020, and to analyze the influence of land-use data and altitude on ET in the basin. The average interannual ET in the watershed has had an increasing trend over the past two decades, varying from 126.57 mm to 247.66 mm, with the maximum ET in July and the minimum in December. On the seasonal scale, the ET trend is greatest in summer, followed by spring, and it is the least in winter. Spatially, the surface ET in the Urumqi River Basin is generally high in the upstream area and low in the downstream area, with the average multi-year ET throughout the basin falling within the range of 22.74–479.33 mm. The average ET for each type of land use showed that forest land had the highest ET and unused land the lowest. Analysis found that the effect of altitude on ET was more pronounced, with a significant increase in ET as altitude increases. Analysis of the drivers of ET change from 2000 to 2020 using the Optimal Parameters-based Geographical Detector model (OPGD) showed that the natural factors that had the greatest influence were, in descending order, temperature > vegetation cover > precipitation. Among the interacting factors, vegetation index with temperature, elevation, and precipitation and land use with elevation had a relatively greater influence on ET in the basin, and the effects of interacting factors were all greater than those of single factors.

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Section: Study Areamentioning

confidence: 99%

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Ablikim,

Yang,

Mamattursun

2023

Sustainability

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“…In the meantime, precipitation and altitude have the greatest in uence on NDVI in the Yellow River Basin (Dai et Dong et al 2021). While anthropogenic factors in uence NDVI in the Urumqi River Basin more than natural factors (Mamattursun et al 2022), and land cover type as the main driver of NDVI in the oasis-desert intertwined zone (Zhang et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal distribution and response relationship of NDVI based on GeoDetector in the arid regions in Northwest China

ke,

LIANG,

TIAN

et al. 2024

Preprint

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Vegetation is an essential component of the earth's ecosystem. Exploring the dynamic changes of vegetation and its influencing factors in the arid regions in Northwest China (NWAC) is of great significance to the restoration and management of the regional ecological environment. In this paper, based on the long time series Normalized Difference Vegetation Index (NDVI) data (2000–2020), we analyzed the ecological changes in the NWAC at different spatial and temporal scales by using Theil-Sen Median and Mann-Kendall (Sen-MK), hurst index and others, and discussed the driving factors affecting NDVI changes using GeoDetector. The results indicate that the NDVI in the NWAC shows a significant upward trend (growth rate of 1.5×103 per year). Approximately 10% of the NWAC was ecologically improved, while 3% was degraded. In addition, the future changes of NDVI in the NWAC are characterized by anti-persistence. Precipitation (q = 0.502) is the main factor affecting NDVI in the NWAC, and the interaction with other factors has the strongest effect on the spatial differentiation of NDVI in the whole region. The results of this study can help to better understand the intricate mechanism of vegetation change, and provide a scientific foundation for future vegetation restoration and rational implementation of ecological projects in the NWAC.

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“…The Vegetation Index is an important indicator for assessing ecosystem vulnerability and a significant phenological indicator. In water-limited regions such as arid and semi-arid areas, vegetation growth exhibits substantial seasonal and interannual variability [6]. NDVI, as a necessary factor for vegetation growth and development, is greatly influenced by climate [7].…”

Section: Introductionmentioning

confidence: 99%

Study of Changes in the Ulan Buh Desert under the Dual Impacts of Desert Farmland Development and Climate Change

Yan,

Zhou,

Feng

et al. 2023

Plants

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Desert farmland provides food for desert areas, but water is the main limiting factor of this region, thus desert farmland has an extremely fragile ecological environment. This study investigated the temporal and spatial variations of vegetation NDVI (Normalized Difference Vegetation Index) in the Ulan Buh Desert, China, from 1990 to 2022, using long-term Landsat satellite data obtained from the Google Earth Engine platform and local statistical data. The results showed that from 1990 to 2022, the NDVI exhibited relatively small fluctuations and a steady increase. Furthermore, the study analyzed the impact of climate factors, namely precipitation and temperature, on NDVI, and collected the groundwater lever changes under irrigation and farmland development. The results demonstrated a positive correlation between NDVI and both precipitation and temperature from 1990 to 2006. The study area experienced an overall trend of increasing humidity. Specifically, from 1990 to 2006, significant positive correlations with precipitation and temperature were observed in 4.4% and 5.5% of the region, respectively. From 2007 to 2022, significant positive correlations were observed in 5.4% and 72.8% of the region for precipitation and temperature, respectively. These findings suggest that temperature has become increasingly influential on vegetation NDVI, while the impact of precipitation remains relatively stable. Moreover, the study assessed the impact of human activities on vegetation NDVI. The results revealed that from 1990 to 2006, human activities contributed to 43.1% of the promotion of local vegetation NDVI, which increased to 90.9% from 2007 to 2022. This study provides valuable insights into the dynamics of vegetation in the Ulan Buh Desert and its response to climatic changes and human activities. The findings highlight the significance of climate conditions and human interventions in shaping the vegetation dynamics in the region, offering essential information for ecological restoration and conservation efforts.

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Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin

Cited by 9 publications

References 72 publications

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Spatio-temporal distribution and response relationship of NDVI based on GeoDetector in the arid regions in Northwest China

Study of Changes in the Ulan Buh Desert under the Dual Impacts of Desert Farmland Development and Climate Change

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