A statistical analysis of the relationship between climatic factors and the Normalized Difference Vegetation Index in China

Song, Yi; Ma, Ming

doi:10.1080/01431161003801336

Cited by 83 publications

(56 citation statements)

References 32 publications

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“…No significant correlation between NDVI and precipitation was found in any of the other three seasons. The regression analysis at a national scale suggested that vegetation was greatly affected by temperature, consistent with previous studies [55,56]. Since radiation showed little correlation with NDVI and the influence directions were unstable, for simplification, it won't be further discussed below.…”

Section: Relationships Between Ndvi and Single Climate Driversupporting

confidence: 68%

“…The study by Bao et al [20] also indicated the decreasing trends of NDVI in the Mongolian Plateau since mid or late 1990s. In some arid and semi-arid areas such as southern Tibetan and northern Xinjiang, speeded up temperature increment could limit the water availability for vegetation hence led to stalled NDVI trends [55]. In northeast Inner Mongolia, both NDVI and precipitation (Figure 10e,f) changed in late 1990s.…”

Section: Abrupt Change In Ndvi and Its Relationship To Climatic Driversmentioning

confidence: 99%

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Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011

Liu

Lei

2015

Remote Sensing

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This study investigated the spatiotemporal variation of vegetation growth and the influence of climatic drivers from 1982 to 2011 across China using datasets from the Normalized Difference Vegetation Index (NDVI) and climatic drivers. Long term trends, significance and abrupt change points of interannual NDVI time series were analyzed. We applied both simple regression and multi-regression models to quantify the effects of climatic drivers on vegetation growth and compare their relative contributions. Results show that on average, the growing season NDVI significantly increased by 0.0007 year −1 , with 76.5% of the research area showed increasing NDVI from 1982 to 2011. Seasonally, NDVI increased at high rates during the spring and autumn while changed slightly during the summer. At a national scale, the growing season NDVI was significantly and positively correlated to temperature and precipitation, with temperature being the dominant factor. At regional scales, the growing season NDVI was dominated by increasing temperature in most forest-covered areas in southern China and dominated by precipitation in most grassland in northern China. Within the past three decades, the increasing trend of national mean NDVI abruptly changed in 1994, slowing down from 0.0008 year −1 to 0.0003 year −1 . To be regional specific, the growing season NDVI in forest covered southern China has accelerated together with temperature since mid 1990s, while parts of the grassland in northern China have undergone stalled NDVI trends corresponding to slowed temperature increment and dropped precipitation since around 2000. Typical region analysis suggested that apart from

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Section: Relationships Between Ndvi and Single Climate Driversupporting

confidence: 68%

Section: Abrupt Change In Ndvi and Its Relationship To Climatic Driversmentioning

confidence: 99%

Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011

Liu

Lei

2015

Remote Sensing

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“…Climate is one of the most important factors controlling plant growth globally; a closely correlated relationship between weather variables and vegetation growth has been captured in previous studies [29,[47][48][49] and is consistent with present results. However, previous research results [8] showed that the vegetation growth was variously and significantly affected by temperature or precipitation in different periods.…”

Section: Discussionsupporting

confidence: 80%

The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015

et al. 2017

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Vegetation dynamics in relation to climatic changes and anthropogenic activities is critical for terrestrial ecosystem management. The objective of this study was to investigate spatiotemporal change of vegetation and their driving forces during growing seasons (between April and October and including the spring, summer and autumn) in the Tumen River Basin (TRB) using Normalized Difference Vegetation Index (NDVI) and climate data spanning from 2000 to 2015. A linear regression, Pearson correlation coefficients and the residual trend (RESTREND) was applied for this study. Our results demonstrate that vegetation increased during different periods of the growing season in most of the areas of the TRB over 16 years. Our results demonstrate that vegetation increased during different periods of the growing season in most of the areas of the TRB over 16 years; those in growing season (spring, summer, and autumn) were characterized by the increase in rates by 0.0012/year, 0.0022/year, 0.0011/year, and 0.0019/year, respectively. Forested regions are characterized by the largest increase (0.0021/year) in NDVI compared with other vegetation types across the entire study area. The trends in NDVI across the study area were influenced by both climatic variations and human disturbances. The human activities such as reforestation and agricultural practices are the primary driver, greater than climatic factors, during growing season, including summer and autumn. Temperature and precipitation has had a significant influence on NDVI in a limited area (temp = 0.86%, p < 0.05 and precipitation = 1.93%, p < 0.05) during growing season. The significant role of precipitation on NDVI change throughout growing season and the summer is larger than that of temperature across the TRB, although the influence of the latter becomes most significant during the spring and autumn. The RESTREND method shows that human activity during the growing season, including the spring, summer, and autumn, have led to enhancements in NDVI across more than 70% of the TRB over the last 16 years, with the most significant improvements seen in forested land and farmland. At the same time, a significant reduction in residual (i.e., degraded areas) NDVI values for different growing seasons had characterized farmland and urban land at low altitudes. This study provides important background information regarding the influence of human activities on land degradation and provides a scientific foundation for the development of ecological restoration policies within the TRB. We found that the RESTREND method can be used to detect human drivers of vegetation in the regions with semi-humid and humid monsoon, where the significant correlation between NDVI and climatic factors exists.

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“…Although studies have pointed out that the effect of the three north shelter forests could have been overestimated [17,18], it has positive significance in reducing the situation of desertification. Climate has huge effect on vegetation growth [32]. In the wild, dry, and poor land of west China, without much human activities, natural factors might become the primary driving factor of desertification [13].…”

Section: Driving Force Analysismentioning

confidence: 99%

Change of surface cover greenness in China between 2000 and 2010

Liu

Gong

2012

Chin. Sci. Bull.

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Surface greenness reflects the situation of vegetation cover. Vegetation index calculated from the Red and Near Infrared bands of remote sensing images, whose values indicate the level of photosynthetic activity, is monotonically related to surface greenness when vegetation canopy does not fully cover the background soil. Especially for desert regions, vegetation index is positively correlated with vegetation coverage. Therefore, vegetation index can be used to study the change in greenness of desert areas. This study collected MODIS Normalized Difference Vegetation Index (NDVI) data from 2000 to 2010 and analyzed their change over China in this period. The results showed that an increasing trend of NDVI occurred over 66.84% (OLS fitting) or 64.27%

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A statistical analysis of the relationship between climatic factors and the Normalized Difference Vegetation Index in China

Cited by 83 publications

References 32 publications

Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011

Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011

The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015

Change of surface cover greenness in China between 2000 and 2010

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