High positive correlation between soil temperature and NDVI from 1982 to 2006 in alpine meadow of the Three-River Source Region on the Qinghai-Tibetan Plateau

Xu, Wenduo; Gu, Song; Zhao, Xinquan; Jian-she, Xiao; Tang, Yanhong; Fang, Jingyun; Zhang, Juan; Jiang, Sha

doi:10.1016/j.jag.2011.02.001

Cited by 94 publications

(59 citation statements)

References 44 publications

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“…Zhao et al [38] also demonstrated that precipitation played a more important role in controlling the variation in NDVI and EVI than temperature from 2000 to 2009 in the Three-River-Source region. However, Xu et al [41] indicated that soil temperature dominated the NDVI alpine meadow variation in the Three-River-Source region from 1982 to 2006.…”

Section: Relationships Between the Mevi And Climatic Factors At The Mmentioning

confidence: 99%

Relationship between the Growing Season Maximum Enhanced Vegetation Index and Climatic Factors on the Tibetan Plateau

Shen

et al. 2014

Remote Sensing

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Temperature and water conditions affect vegetation growth dynamics and associated spectral measures. We examined the response of the growing season maximum enhanced vegetation index (MEVI) to the growing season temperature, precipitation, vapor pressure and relative humidity on the Tibetan Plateau. The responses of the MEVI to climatic factors changed with the vegetation type, which may be attributed to the finding that the background values and climatic factor changes varied with the type of vegetation. The spatially averaged MEVI over the entire plateau exhibited a non-significant decreasing trend. Approximately 5% and 12% of the vegetation area exhibited significant MEVI decreasing and increasing trends, respectively. Both vapor pressure and relative humidity significantly affected the MEVI, whereas the temperature and precipitation did not significantly correlate with the MEVI over the entire plateau. Specifically, the environmental humidity dominated the MEVI variation over the entire plateau.

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Section: Relationships Between the Mevi And Climatic Factors At The Mmentioning

confidence: 99%

Relationship between the Growing Season Maximum Enhanced Vegetation Index and Climatic Factors on the Tibetan Plateau

Shen

et al. 2014

Remote Sensing

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“…The NDVI increase in some areas may be due to the implementation of a series of national policies for grassland protection and construction, such as the "Grain for Green" program implemented throughout China since 1999, 62 China's revised Grassland Law (2003), and an ecological restoration project since 2005 that enforced restricting livestock numbers and decreasing grazing intensity. 34 The "Grain for Green" program encourages converting cropland to grassland or forest, converting pasture to grassland, and converting reclaimed grasslands to grasslands, which stimulated a significant increase in farmland vegetation cover in the northern part of the Yellow River basin. 62 The China's revised Grassland Law (2003) further strengthened the legal protection in grassland environment.…”

Section: Other Factors Impacting On Vegetation Greennessmentioning

confidence: 99%

“…Studies with Advanced Very High Resolution Radiometer (AVHRR) data [29][30][31][32][33][34] and the SPOT VEGETATION (VGT) data 35 indicated a general vegetation greening trend under climate warming in the plateau. Some regional studies with AVHRR and SPOT VGT data reported that climate change had stimulated vegetation growth in some areas of the plateau, such as parts of northern Tibet 36 and the Lake Yamzho Yumco Basin of southern Tibet.…”

Section: Introductionmentioning

confidence: 99%

Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau

Zhang

Guo

Ji³

et al. 2013

J. Appl. Remote Sens

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Abstract. The Qinghai-Tibetan Plateau has been experiencing a distinct warming trend, and climate warming has a direct and quick impact on the alpine grassland ecosystem. We detected the greenness trend of the grasslands in the plateau using Moderate Resolution Imaging Spectroradiometer data from 2000 to 2009. Weather station data were used to explore the climatic drivers for vegetation greenness variations. The results demonstrated that the region-wide averaged normalized difference vegetation index (NDVI) increased at a rate of 0.036 yr −1 . Approximately 20% of the vegetation areas, which were primarily located in the northeastern plateau, exhibited significant NDVI increase trend (p-value <0.05). Only 4% of the vegetated area showed significant decrease trends, which were mostly in the central and southwestern plateau. A strong positive relationship between NDVI and precipitation, especially in the northeastern plateau, suggested that precipitation was a favorable factor for the grassland NDVI. Negative correlations between NDVI and temperature, especially in the southern plateau, indicated that higher temperature adversely affected the grassland growth. Although a warming climate was expected to be beneficial to the vegetation growth in cold regions, the grasslands in the central and southwestern plateau showed a decrease in trends influenced by increased temperature coupled with decreased precipitation.

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“…Moreover, the monthly correlation coefficient for monthly average Normalized Difference Vegetation Index (NDVI) and precipitation is 0.75, which is greater than the correlation coefficient of 0.63 for monthly average NDVI and temperature in the Lhasa area (Chu et al 2007). Previous studies have analyzed NDVI variations and their relationships with temperature and precipitation in the Tibetan Plateau (Chu et al 2007;Xu et al 2011;Ding et al 2013;Wang et al 2015), but correlations between NDVI in different vegetation types and climatic factors have not been observed. In actuality, different vegetation types respond differently to temperature and precipitation.…”

Section: Introductionmentioning

confidence: 99%

The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

Sun

Qin

Yang

2015

Environ Monit Assess

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The spatiotemporal variability of the Normalized Difference Vegetation Index (NDVI) of three vegetation types (alpine steppe, alpine meadow, and alpine desert steppe) across the Tibetan Plateau was analyzed from 1982 to 2013. In addition, the annual mean temperature (MAT) and annual mean precipitation (MAP) trends were quantified to define the spatiotemporal climate patterns. Meanwhile, the relationships between climate factors and NDVI were analyzed in order to understand the impact of climate change on vegetation dynamics. The results indicate that the maximum of NDVI increased by 0.3 and 0.2 % per 10 years in the entire regions of alpine steppe and alpine meadow, respectively. However, no significant change in the NDVI of the alpine desert steppe has been observed since 1982. A negative relationship between NDVI and MAT was found in all these alpine grassland types, while MAP positively impacted the vegetation dynamics of all grasslands. Also, the effects of temperature and precipitation on different vegetation types differed, and the correlation coefficient for MAP and NDVI in alpine meadow is larger than that for other vegetation types. We also explored the percentages of precipitation and temperature influence on NDVI variation, using redundancy analysis at the observation point scale. The results show that precipitation is a primary limiting factor for alpine vegetation dynamic, rather than temperature. Most importantly, the results can serve as a tool for grassland ecosystem management.

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High positive correlation between soil temperature and NDVI from 1982 to 2006 in alpine meadow of the Three-River Source Region on the Qinghai-Tibetan Plateau

Cited by 94 publications

References 44 publications

Relationship between the Growing Season Maximum Enhanced Vegetation Index and Climatic Factors on the Tibetan Plateau

Relationship between the Growing Season Maximum Enhanced Vegetation Index and Climatic Factors on the Tibetan Plateau

Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau

The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

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