Influence of Variations of Hydrothermal Conditions on Normalized Difference Vegetation Index in Typical Temperature Zones Along the East Coast of China

He, Guangxin; Zhen, Xiaoju; Li, Zhongliang; Weishou, Shen; Han, Junfeng; Zhang, Lu; Li, Xun; Zhang, Ran

doi:10.3389/feart.2020.574101

Cited by 8 publications

(3 citation statements)

References 55 publications

(54 reference statements)

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“…Its physical basis is that the plant leaf surface can strongly absorb the red-light band and re ect the near-infrared band. It is usually highly correlated with the local climate environment (Fayech & Tarhouni, 2021;He et al, 2020;Shi et al, 2021;Wu et al, 2020), topography and geomorphology (Chen et al, 2020;Fu et al, 2020;Zhang et al, 2020;Zhao et al, 2019). Therefore, it is widely used in the following elds.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal characteristics of NDVI on based hydrogeological division in Golmud River watershed of Qinghai-Tibet Plateau，China

Shui-gen

Zhang

Chu³

2023

Preprint

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The hydrogeological conditions of the piedmont diluvium are one of the key controlling factors for the growth of local vegetation. This paper analyzes the spatial-temporal variation of vegetation in the Golmud River watershed by the linear slope method, Sen’s slope method and Hurst index method based on the hydrogeological division using the MODIS data of NDVI from 2000 to 2018 in the Qaidam Basin on the Qinghai-Tibet Plateau. The results show that the vegetation coverage in the study area is closely related to the hydrogeological conditions, and the hydrogeological unit of the watershed determines the zonal distribution of surface vegetation. Fraction Vegetation Coverage (FVC) is larger in the mountains and fine soil overflow division, but less than 0.1 in the piedmont Gobi, the wetland salt lake and the northern diluvium division. From 2000 to 2018, FVC has improved greatly in the mountains and fine soil overflow division. In the past 20 years, the area of high coverage vegetation in the watershed has nearly doubled, while desert area has been continuously reduced by 20%, these changes mainly occurred in the mountains and fine soil overflow division. The vegetation coverage of degradation is scattered along the southern coast of Dabson Lake, around the Huolanguole River, and around Yuzhu peak. The vegetation of consistent improvement in the future is mainly distributed in the mountains and fine soil overflow division. The vegetation of consistent degradation is mainly distributed around the upper reaches of Holangole River, the upper reaches of Jiaga Riqu, around Yuzhu Peak, and the south bank of Dabson Lake. Meteorological factors are the driving force of continuous improvement of vegetation coverage. This study has scientific significance for local ecological environment protection.

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Section: Introductionmentioning

confidence: 99%

Spatial and temporal characteristics of NDVI on based hydrogeological division in Golmud River watershed of Qinghai-Tibet Plateau，China

Shui-gen

Zhang

Chu³

2023

Preprint

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“…There are many platforms that provide NDVI datasets acquired by sensors, such as MODIS and GIMMS, which allow researchers to obtain time-seriescontinuous and large-scale datasets [7]. It has been shown that vegetation-cover changes are influenced by a combination of natural factors and human activities [3,8]. Natural factors-such as the temperature, precipitation, soil, and topography-can change the spatial distribution of vegetation cover [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

How Did the Mild and Humid Areas of China Turn Green? A Case Study on Chongqing

Zuo

Cheng

Zhang

et al. 2022

Forests

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Since the implementation of the Natural Forest Resources Protection Project (NFRP) and the Grain for Green Program (GFGP), two key ecological projects related to forestry, the vegetation cover in Chongqing, has improved significantly. Existing studies have revealed the effects of climate change and human activity on vegetation cover in arid regions. However, more studies are needed to reveal the influence of drivers on vegetation cover in mild and humid areas, to quantify the relative contribution of drivers and to analyze the overall land use characteristics in different regions. In this study, we used Theil–Sen slope analysis and the Mann–Kendall test to investigate the spatial and temporal changes in vegetation cover in Chongqing. Further, we used Pearson correlation analysis to analyze the correlations between vegetation cover and drivers, quantitatively analyzing the relative contributions of these drivers. Complex network model analysis was used for different regions to obtain their land-use system characteristics, and the Hurst index was adopted to predict future vegetation-cover changes. The results of this study showed that the average vegetation cover in Chongqing increased significantly from 2000 to 2020, and the overall greening trend was most obvious in winter. Precipitation and temperature influenced the vegetation cover of Chongqing city to a certain extent, and the positive correlation between vegetation cover and precipitation was more significant than that with temperature. In terms of the precipitation factor, the areas with significant positive correlations were mainly concentrated in the central and southern parts of Chongqing, which could be related to the higher precipitation in the southern part of the city. Under the combined influence of climate change and human activity, vegetation cover increased in 71.95% of the total area. Human activity had a relative contribution of 70.39% and 69.14% in the areas where vegetation cover decreased and increased, respectively. The analysis results of the complex network model showed that woodlands and grasslands contributed more to areas where the vegetation cover exhibited an increasing trend. In the future, it is estimated that 72.92% of the vegetation cover in Chongqing will exhibit a degradation trend. This study helps us further understand vegetation-cover changes in mild and humid areas, providing new research directions for informing forestry-related policies.

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“…Global climate change is rapidly altering the dynamics of terrestrial vegetation, and the vegetation responds to climate change in both explicit and subtle ways [4,5]. In the context of continuous warming, temperature, precipitation, and other factors in different regions are different, and the influence of climate change on vegetation varies among different regions [6]. Therefore, exploring the spatiotemporal pattern of vegetation greenness and discussing the driving role of climate factors has become one of the main topics of current global change research [1,7,8].…”

Section: Introductionmentioning

confidence: 99%

Vegetation Greenness Variations and Response to Climate Change in the Arid and Semi-Arid Transition Zone of the Mongo-Lian Plateau during 1982–2015

et al. 2021

Remote Sensing

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Vegetation greenness dynamics in arid and semi-arid regions are sensitive to climate change, which is an important phenomenon in global climate change research. However, the driving mechanism, particularly for the longitudinal and latitudinal changes in vegetation greenness related to climate change, has been less studied and remains poorly understood in arid and semi-arid areas. In this study, we investigated changes in vegetation greenness and the vegetation greenness line (the mean growing season normalized difference vegetation index (NDVI) = 0.1 contour line) and its response to climate change based on AVHRR-GIMMS NDVI3g and the fifth and latest global climate reanalysis dataset from 1982 to 2015 in the arid and semi-arid transition zone of the Mongolian Plateau (ASTZMP). The results showed that the mean growing season NDVI increased from the central west to east, northeast, and southeast in ASTZMP. The vegetation greenness line migrated to the desert during 1982–1994, to the grassland during 1994–2005, and then to the desert during 2005–2015. Vegetation greenness was positively correlated with precipitation and negatively correlated with temperature. The latitudinal variation of the vegetation greenness line was mainly affected by the combination of precipitation and temperature, while the longitudinal variation was mainly affected by precipitation. In summary, precipitation was a key climatic factor driving rapid changes in vegetation greenness during the growing season of the transition zone. These results can provide meaningful information for research on vegetation coverage changes in arid and semi-arid regions.

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Influence of Variations of Hydrothermal Conditions on Normalized Difference Vegetation Index in Typical Temperature Zones Along the East Coast of China

Abstract: He et al. Influence of hydrothermal conditions on NDVI

Cited by 8 publications

References 55 publications

Spatial and temporal characteristics of NDVI on based hydrogeological division in Golmud River watershed of Qinghai-Tibet Plateau，China

Spatial and temporal characteristics of NDVI on based hydrogeological division in Golmud River watershed of Qinghai-Tibet Plateau，China

How Did the Mild and Humid Areas of China Turn Green? A Case Study on Chongqing

Vegetation Greenness Variations and Response to Climate Change in the Arid and Semi-Arid Transition Zone of the Mongo-Lian Plateau during 1982–2015

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