Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China

Hu, Caihong; Wu, Qiang; Lai, Ruixun; Soomro, Shan‐e‐hyder; Hou, Dongru; Hu, Caihong

doi:10.2166/wcc.2022.037

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…In previous research on vegetation carrying capacity in arid areas, it is mostly considered that vegetation cover has a great influence on the ecological water consumption of the natural environment, and analyzed regional carrying capacity from the perspective of vegetation coverage [78][79][80][81]. However, the vegetation planning of arid basins should be based on the theoretical spatial distribution of vegetation types that combines qualitative and quantitative factors, among which the analysis of the ecological water yield is the basis [82][83][84].…”

Section: Water Yield Analysismentioning

confidence: 99%

Optimization of Forest and Grass Vegetation Distribution in the Aksu River Basin by Water Resources Carrying Capacity

Qi,

Xi,

Cui

et al. 2024

Water

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In arid areas, vegetation is the basis for maintaining the virtuous cycle of ecosystems, while water resources are the key factor restricting the survival of vegetation communities. The balance between water resources and vegetation is related to the sustainable development of ecological benefits and economic benefits in arid areas. Although research on the carrying potential of vegetation in arid areas has been emphasized, there is still a lack of spatial analysis of different vegetation types over large areas. Therefore, this study takes precipitation as the basic source of water resources, calculates the amount of available water resources in the basin from the available effective precipitation and available irrigation water, and it analyzes the spatial distribution of forest and grass vegetation types under the water resources constraint, combined with the ecological water demand of different vegetation types and based on the principle of “Water to determine the Vegetation”. The results showed that the ecological water demand of each vegetation type was as follows: Forest > Shrub Vegetation > Grassland Vegetation > Desert Vegetation. The range of comprehensive available water resources of vegetation was from 0 to 221.71 mm, which decreased with the altitude gradient. Then, the spatial distribution pattern of vegetation types constrained by the water resources in the Aksu River Basin showed a striped distribution from north to south, with shrub vegetation in the high-altitude mountainous area, grassland vegetation in the low-altitude area, and desert vegetation in the desert plain area, respectively, accounting for 29.05%, 10.74%, and 53.45% of the total basin. This research approach provides a scientific basis for the planning of forest and grass vegetation construction in arid regions.

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Section: Water Yield Analysismentioning

confidence: 99%

Optimization of Forest and Grass Vegetation Distribution in the Aksu River Basin by Water Resources Carrying Capacity

Qi,

Xi,

Cui

et al. 2024

Water

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“…In summary, there are two primary limitations underlying the previous study: (1) limitations regarding the adopted vegetation indices. Previous studies were mostly conducted based on the third-generation Global Inventory Modeling and Mapping Studies (GIMMS) NDVI 3g [42][43][44], the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI (2000-present) [45][46][47], and combinations of the above two sources of NDVI data [48][49][50], with relevant research using a long-term NDVI dataset from a unified source being absent. Additionally, NDVI saturation is often neglected.…”

Section: Introductionmentioning

confidence: 99%

Detection and Attribution of Vegetation Dynamics in the Yellow River Basin Based on Long-Term Kernel NDVI Data

Yu,

Yang,

Jiang

et al. 2024

Remote Sensing

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Detecting and attributing vegetation variations in the Yellow River Basin (YRB) is vital for adjusting ecological restoration strategies to address the possible threats posed by changing environments. On the basis of the kernel normalized difference vegetation index (kNDVI) and key climate drivers (precipitation (PRE), temperature (TEM), solar radiation (SR), and potential evapotranspiration (PET)) in the basin during the period from 1982 to 2022, we utilized the multivariate statistical approach to analyze the spatiotemporal patterns of vegetation dynamics, identified the key climate variables, and discerned the respective impacts of climate change (CC) and human activities (HA) on these variations. Our analysis revealed a widespread greening trend across 93.1% of the YRB, with 83.2% exhibiting significant increases in kNDVI (p < 0.05). Conversely, 6.9% of vegetated areas displayed a browning trend, particularly concentrated in the alpine and urban areas. With the Hurst index of kNDVI exceeding 0.5 in 97.5% of vegetated areas, the YRB tends to be extensively greened in the future. Climate variability emerges as a pivotal determinant shaping diverse spatial and temporal vegetation patterns, with PRE exerting dominance in 41.9% of vegetated areas, followed by TEM (35.4%), SR (13%), and PET (9.7%). Spatially, increased PRE significantly enhanced vegetation growth in arid zones, while TEM and SR controlled vegetation variations in alpine areas and non-water-limited areas such as irrigation zones. Vegetation dynamics in the YRB were driven by a combination of CC and HA, with relative contributions of 55.8% and 44.2%, respectively, suggesting that long-term CC is the dominant force. Specifically, climate change contributed to the vegetation greening seen in the alpine region and southeastern part of the basin, and human-induced factors benefited vegetation growth on the Loess Plateau (LP) while inhibiting growth in urban and alpine pastoral areas. These findings provide critical insights that inform the formulation and adaptation of ecological conservation strategies in the basin, thereby enhancing resilience to changing environmental conditions.

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“…Fractional vegetation cover (FVC) is an important ecological parameter for environmental assessment (Gitelson et al, 2002;Jia, 2013), and also usually used as an effective indicator to measure the condition and degree of vegetation on the surface (Song et al, 2023), which is also employed to monitor soil salinization, soil erosion and land sandy desertification (Shoshana et al,1996;Steffen, 2003;Godínez-Alvarez et al, 2009;Jing et al, 2011). The study of FVC can provide basic data to reveal the law of spatial differentiation of land surface, explore the driving factors of change, and analyze and evaluate the quality of regional ecological environment (Chen et al, 2022), widely applicating in agriculture, resources, land, disasters and other fields (Zhao et al, 2005). Generally, Ground survey and remote sensing measurements are the most common methods for FVC measuring.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal Changes and Attribution of Vegetation in the Jungar Banner of Inner Mongolia During 2010 to 2022

Wang,

Ji,

Xue

et al. 2023

Preprint

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Fractional vegetation cover (FVC) is an important feature of the ecosystem, which reflects the ecological degeneration and restoration in the semi-arid areas. In this study, the spatio-temporal FVC changes were quantitatively evaluated from 2010 to 2022 in Jungar Banner of Inner Mongolia, China. Theil-Sen slope estimator and Mann-Kendall algorithm were used to monitor the spatio-temporal change trend of the FVC. Then, Hurst exponent and Theil-Sen Slope were integrated to evaluate the consistency of FVC change and predict its spatiotemporal evolution trend. Finally, we used correlation analysis to determine the association between FVC and other factors, such as terrain, temperature and precipitation. These results demonstrated that the condition of FVC in the Jungar Banner is good which was predominated by medium-low and medium FVC. The area with increasing FVC was little smaller than that with decreased FVC, but the decreased area was mainly dominated by no significant decrease. However, the Kubuqi Dessert, Yellow River, Loess plateau and mining areas accounted for the majority of the degraded areas. At present, the 42.7% of Jungar Banner appeared improved in the FVC, while the 57.3% appeared the degradation in the FVC, but the area of degradation was mainly slightly degraded in the future. In addition, the terrain and mining activity in Jungar Banner had a significant impact on the spatio-temporal distribution of FVC. This work will provide basic data and information for the future ecological development of Jungar Banner.

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Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China

Cited by 10 publications

References 31 publications

Optimization of Forest and Grass Vegetation Distribution in the Aksu River Basin by Water Resources Carrying Capacity

Optimization of Forest and Grass Vegetation Distribution in the Aksu River Basin by Water Resources Carrying Capacity

Detection and Attribution of Vegetation Dynamics in the Yellow River Basin Based on Long-Term Kernel NDVI Data

Spatio-temporal Changes and Attribution of Vegetation in the Jungar Banner of Inner Mongolia During 2010 to 2022

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