Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China

Zhao, Anzhou; Zhang, Anbing; Liu, Xianfeng; Cao, Shixiu

doi:10.1007/s00704-017-2107-8

Cited by 55 publications

(38 citation statements)

References 49 publications

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“…In the southern portion of Loess Plateau in area I, a perennial open-pit coal mining has caused serious damage to the surface vegetation. Zhao et al [17] showed that the average growth rate of vegetation in the whole Loess Plateau during the period of 1982-2013 is 0.025/10a. In this paper, the vegetation change rate of the Loess Plateau from 1982 to 2015 is 0.022/10a, which is similar to Zhao et al [17].…”

Section: Discussionmentioning

confidence: 99%

“…Over central Asia, the annual maximum and minimum air temperatures significantly increased between 1958 and 2012, and increased winter temperatures contributed the most to the annual warming, thereby increasing the growing season length (GSL) and productivity [16]. However, only a few extreme climate factors are considered during the analysis of their correlations with the NDVI [17] and the relationships between NDVI and extreme climatic indices are rarely discussed. Therefore, carefully investigating the mechanisms of extreme weather events in response to climate change is necessary.…”

Section: Introductionmentioning

confidence: 99%

“…exists remains unclear. In addition, the influence of time delay on vegetation growth caused by extreme climatic indices is not considered when analyzing the correlations between NDVI and these meteorological factors [17].…”

Section: Introductionmentioning

confidence: 99%

“…Sun et al [19] studied the interannual change trends of extreme climatic factors in the Loess Plateau. Zhao et al [17] analyzed the variation of 12 extreme climatic indices and NDVI in the Loess Plateau and found that extreme rainfall and temperature occurrences are significantly correlated with different vegetation cover types. Most previous studies use the average NDVI of the entire Loess Plateau to reflect the overall change [4,6,17,20], discounting spatial variations within the region, or temporal variation over time.…”

Section: Introductionmentioning

confidence: 99%

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Spatial–Temporal Variation Characteristics of Multiple Meteorological Variables and Vegetation over the Loess Plateau Region

Zhao

Liang

et al. 2020

Applied Sciences

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Ecological restoration and climate change in the Loess Plateau region have become research hotspots. Climate change and anthropogenic activities have led to spatial-temporal pattern variations in vegetation and extreme climatic indices and meteorological factors. Therefore, obtaining a better understanding is necessary of the internal relations between vegetation and meteorological factors. In this paper, the interplay between vegetation index and various factors, including extreme climatic indices and meteorological factors, during a long-term time series is investigated using Mann-Kendall trend analysis, and Pearson correlation coefficient analysis. The mechanisms of interaction between vegetation growth and various factors in the Loess Plateau are then analyzed. Results reveal that (i) the rapid growth of vegetation during 2000-2015 has made a major contribution to the growth trend of the Loess Plateau in the past 33 years . During 2000-2015, the increase of vegetation may inhibit the increase of extreme warm index and the decrease of extreme cold index; (ii) a warm and dry climate developed with decreasing relative humidity and increasing temperature; (iii) the normalized vegetation index (NDVI) is strongly correlated with extreme climatic indices and meteorological factors, especially precipitable water vapor (PWV), with a correlation coefficient of 0.94; and (iv) the daily temperature range, diurnal temperature range and sunshine duration (SSD) exerted different time-delay effects on vegetation growth in the Loess Plateau. The above findings provide an essential theoretical basis for ecological policy formulation in the Loess Plateau.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial–Temporal Variation Characteristics of Multiple Meteorological Variables and Vegetation over the Loess Plateau Region

Zhao

Liang

et al. 2020

Applied Sciences

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“…Cultivated pastures with intensive agronomic activity, such as sowing, irrigating, and fertilizing, has also been adopted in regions with variable terrain (Gang et al, 2018). (Xiao, 2014) 0.080/10 years (2000Zhao et al, 2018Zhao et al, ) 99.12 (2000Zhao et al, -2010Zhang et al, 2016) This study 0.180/year 0.052/10 years 70.75 Three-River Source Region…”

Section: Lucc Of Forests and Grasslands In Western Chinamentioning

confidence: 93%

Satellite Observations of the Recovery of Forests and Grasslands in Western China

et al. 2019

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The “Grain for Green” Program (GGP), which combats and reverses the landscape‐scale habitat degradation by converting agricultural lands to forests and grasslands, was launched in 1999 in western China. An assessment of the extent to which the GGP has altered the vegetation cover and ecological functions in these regions is much needed. The present study initially analyzed land use and cover change of forests and grasslands over western China between 2000 and 2015. A variety of satellite‐based ecological indicators, including net primary productivity, normalized difference vegetation index, leaf area index, carbon use efficiency, and water use efficiency, were used to reflect the biophysical consequences of the GGP in western China. Results indicated that the spatial extent of forests and grasslands increased by 13.97 × 103 and 11.13 × 103 km2, respectively, which were mainly converted from deserts and croplands. The ecosystem functions of forests and grasslands showed an asymmetric response in northwestern and southwestern China. The normalized difference vegetation index and water use efficiency of forests, as well as the net primary productivity and water use efficiency of grasslands, increased significantly over this period. The GGP also has led to an increase in leaf area index and carbon use efficiency of forests and grasslands. The Loess Plateau and the Three Rivers Source area represent the most effectively recovered regions in western China. Rising precipitation rates have contributed to vegetation recovery to some extent, especially in northwestern China, whereas the GGP was the prominent reason for the improvement of ecosystem functions across the entire region of western China.

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LAI‐based reduction in growth of semiarid grasslands and its responses to climate change on China's Loess Plateau

Niu

Fan

2023

Land Degrad Dev

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Understanding the response of vegetation growth to climate change can provide key information for predicting future ecosystem dynamics. Over the past 6 years, the semiarid regions of the Loess Plateau in China have experienced a transition from wet to dry years, but little is known about the response of grass growth to this change. Thus, this study aimed to analyze and evaluate the effect of climate change on grass growth. Using observed climate data and leaf area index (LAI) data obtained with hemispherical photography from 2016 to 2021, we investigated changes in trends of five climatic factors, including precipitation (P), temperature (T), relative humidity (RH), wind speed (WS), and solar radiation (Rs), and their impact on the growth of alfalfa (Medicago sativa) and Stipa bungeana plantations in the semiarid area of the Loess Plateau. The results showed a tendency to become colder in spring and drier in summer and autumn. In response, LAI tended to decrease in alfalfa and S. bungeana plots with interannual variation rates of 0.21 year−1 and 0.12 year−1, respectively. Additionally, linear regression methods showed that P had the greatest effect on LAI of two grasslands during the growing season (R2 > 0.84, p < 0.01), followed by RH and T (0.30 < R2 < 0.50, p < 0.01), a negative effect of WS (R2 = 0.36, p < 0.01), and no significant effect of Rs on LAI were found. Conversely, the path analysis indicated that Rs and P were the largest decision coefficients affecting the monthly LAI of alfalfa and S. bungeana, respectively, due to the different time‐to‐peak LAI and root growth depth of these two grass species. This study can provide theoretical support for ecological restoration and system management of semiarid grasslands.

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Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China

Cited by 55 publications

References 49 publications

Spatial–Temporal Variation Characteristics of Multiple Meteorological Variables and Vegetation over the Loess Plateau Region

Spatial–Temporal Variation Characteristics of Multiple Meteorological Variables and Vegetation over the Loess Plateau Region

Satellite Observations of the Recovery of Forests and Grasslands in Western China

LAI‐based reduction in growth of semiarid grasslands and its responses to climate change on China's Loess Plateau

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