Spatial and temporal evolutions of vegetation coverage in the Tarim River Basin and their responses to phenology

Jiang, Ning; Zhang, Qinqin; Zhang, SiCong; Chen, Hong

doi:10.1016/j.catena.2022.106489

Cited by 20 publications

(8 citation statements)

References 29 publications

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“…During the period of 2000-2022, the overall EEQ of the entire TRB presented spatial and temporal variation, with a fluctuating trend in the time series and ecological changes such as oasis expansion, glacial melting, and desert degradation, consistent with findings of related studies [25,[44][45][46][47][48]. Certain scholars exclude deserts when studying the TRB due to their extremely poor ecological conditions and the infrequent human activity present there [49].…”

Section: Changes Of Eeq In the Tarim River Basinsupporting

confidence: 81%

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China

Chen

Wang

Ding

et al. 2023

Land

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Ecological challenges resulting from soil salinization in the Tarim River Basin (TRB), exacerbated by climate change and human activities, have emphasized the need for a quick and accurate assessment of regional ecological environmental quality (EEQ) and driving mechanisms. To address this issue, this study has developed a remote-sensing ecological index with salinity adaptability (RSEISI) for EEQ assessment in the Tarim River Basin by integrating the comprehensive salinity index (CSI) into the remote-sensing ecological index (RSEI). The RSEISI enhances the sensitivity of soil salinity and characterizes the surface features of arid regions, thus expanding the applicability. Then, we used time-series analysis methods and a geodetector to quantify the spatial temporal trends and driving factors of EEQ in the TRB from 2000 to 2022. The results show that the RSEISI with salinity adaptation effectively monitors the EEQ of the TRB. The EEQ of the TRB displayed the situation of oasis expansion, desert deterioration, and glacier melting, and the multiyear average EEQ grades were dominated by medium and poor grades in desert and saline areas, while medium, good, and excellent grades were concentrated in oasis and mountainous areas. Looking at the trend of change in conjunction with land-use types, the EEQ of the TRB showed a mild degradation trend mainly in unused land, followed by a mild improvement trend in cropland and grassland. The Hurst index indicated that the EEQ of most areas of the TRB will improve in the future. Soil type, land use, precipitation, and temperature were considered to be key factors affecting the EEQ across the TRB, and changes in the EEQ were found to be the interaction of multiple factors. This study may provide innovative concepts and methodologies, scientific and technological support for ecological management, and green development models in the northwest arid zone.

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Section: Changes Of Eeq In the Tarim River Basinsupporting

confidence: 81%

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China

Chen

Wang

Ding

et al. 2023

Land

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“…), shrubs (Tamarix spp., Lycium ruthenicum and Halimodendron halodendron, etc. ), and herbaceous (Phragmites communis, Alhagi sparsifolia and Glycyrrhiza inflata, etc) [22,31]. Due to the differences in topography and landform, P. euphratica is mainly found along the entire mainstream of the TRB [32].…”

Section: Study Site and Data Sourcementioning

confidence: 99%

Simulation of potential endangered species distribution in drylands with small sample size based on semi-supervised models

Liu

GUI

et al. 2023

Environ. Res. Lett.

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Identifying suitable habitats for endangered species is critical to promote the recovery of endangered species. However, Conventional species distribution models (SDMs) need large amounts of labeled sample data to learn the relationship between species and environmental conditions, is difficult to fully detangle the role of the environment in the distribution of endangered species, which are very sparsely distributed and have environmental heterogeneity. This study’s first innovation used the semi-supervised model to accurately simulate the suitable habitats for endangered species with a small sample size. The model performance was compared with three conventional SDMs, namely Maxent, Generalized Linear Model (GLM), and Support Vector Machine (SVM). Applying the model to the endangered species Populus euphratica in the lower Tarim River basin, Northwest China. The results showed that the semi-supervised model exhibited better performance than conventional SDMs with an accuracy of 85% when only using 443 Populus euphratica samples. All models developed using smaller sample sizes exhibit worse performance in the prediction of habitat suitability areas for endangered species while the semi-supervised model is still excellent. The results showed that the suitable habitat for Populus euphratica is mainly near the river channel of the lower Tarim River basin, accounting for 13.49 % of the study area. The lower Tarim River still has enormous land potential for the restoration of endangered Populus euphratica. The model developed here can be used to evaluate the suitable habitat for endangered species with only a small sample size, and provide a basis for the conservation of endangered species.

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“…The land use/cover and landscape patterns in the KRB have drastically transformed over the past two decades [49,68,69]. As the climate in the watershed has evolved, there has been an upsurge in glacial snowmelt runoff upstream, thereby enhancing the accessibility of water resources for agricultural production in the midstream region [70]. However, the expanding cultivated land area in the midstream region, driven by agricultural economic activities, has considerably elevated the demand for agricultural water.…”

Section: Creation Of Future Lulc Policies and Ler Administrationmentioning

confidence: 99%

Landscape Ecological Risk Assessment of Kriya River Basin in Xinjiang and Its Multi-Scenario Simulation Analysis

Li,

He,

Huang

et al. 2023

Water

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To comprehend the potential impacts of both natural phenomena and human activities on ecological risk, a thorough examination of the spatial and temporal evolution characteristics of Landscape Ecological Risk (LER) in arid river basins is imperative. This investigation holds paramount importance for the proactive prevention and mitigation of LER, as well as for the preservation of ecological security within these basins. In this scholarly inquiry, the Kriya River Basin (KRB) serves as the focal point of analysis. Leveraging three historical land use and land cover (LULC) images and incorporating a diverse array of drivers, encompassing both natural and anthropogenic factors, the study employs the PLUS model to forecast the characteristics of LULC changes within the basin under three distinct scenarios projected for the year 2030. Concurrently, the research quantitatively assesses the ecological risks of the basin through the adoption of the Landscape Ecological Risk Assessment (LERA) methodology and the Spatial Character Analysis (SCA) methodology. The results showed the following: (1) The study area is primarily composed of grassland and unused land, which collectively account for over 97% of the total land. However, there has been a noticeable rise in cropland and considerable deterioration in grassland between 2000 and 2020. The key observed change in LULC involves the transformation of grassland and unused land into cropland, forest, and construction land. (2) The overall LER indices for 2000, 2010, and 2020 are 0.1721, 0.1714, and 0.16696, respectively, showing strong positive spatial correlations and increasing autocorrelations over time. (3) Over time, human activities have come to exert a greater influence on LER compared to natural factors between 2000 and 2020. (4) In the natural development scenario (NDS), cropland protection scenario (CPS), and ecological priority scenario (EPS), the LER of KRB experienced notable variations in the diverse 2030 scenarios. Notably, the CPS exhibited the highest proportion of low-risk areas, whereas Daryaboyi emerged as the focal point of maximum vulnerability. These findings offer theoretical and scientific support for sustainable development planning in the watershed.

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Spatial and temporal evolutions of vegetation coverage in the Tarim River Basin and their responses to phenology

Cited by 20 publications

References 29 publications

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China

Simulation of potential endangered species distribution in drylands with small sample size based on semi-supervised models

Landscape Ecological Risk Assessment of Kriya River Basin in Xinjiang and Its Multi-Scenario Simulation Analysis

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