Spatio-temporal analysis of vegetation variation in the Yellow River Basin

Jiang, Weiguo; Yuan, Liang; Wang, Wenjie; Cao, R.; Zhang, Yunfei; Shen, Wei

doi:10.1016/j.ecolind.2014.07.031

Cited by 356 publications

(224 citation statements)

References 34 publications

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“…The Theil-Sen Median is a robust trend analysis method with non-parametric statistics [49] and is a particularly effective tool for estimating the trends in small series [49,50]. The Theil-Sen Median has been widely used to test the trend of time series remote sensing images [51][52][53], especially in long time series of vegetation variation analysis [49,50,52]. The formula is as follows:…”

Section: Theil-sen Median Trend Methodsmentioning

confidence: 99%

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Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light

Jian

Long

et al. 2017

Remote Sensing

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Section: Theil-sen Median Trend Methodsmentioning

confidence: 99%

Section: Theil-sen Median Trend Methodsmentioning

confidence: 99%

Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light

Jian

Long

et al. 2017

Remote Sensing

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“…Mann-Kendall's test and Theil-Sen median slope were used to obtain the possible monotonic trend in the time series of the annual average EVI at the pixel level, which were widely used to determine vegetation variation [57][58][59]. The Mann-Kendall's test [60] is a robust nonparametric significance test that calculates Z values based on the signs of changes in the time series.…”

Section: Pixel-based Non-parametric Trend Analyses Of Evimentioning

confidence: 99%

The Greenness of Major Shrublands in China Increased from 2001 to 2013

et al. 2016

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Abstract:Shrubs have been reported to expand into grassland and polar regions in the world, which causes complex changes in ecosystem carbon, nutrients, and resilience. Given the projected global drying trend, shrubs with their superior drought resistance and tolerance may play more important roles in global ecosystem function. Shrubland exists in all of the climate zones in China, from subtropical to temperate and high cold regions, and they occupy more than 20% of the land area. In this paper, we analyzed the spatiotemporal trend of MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) for six shrubland types in China from 2001 to 2013 and its relationship to intra-and inter-annual regional climate dynamics. Existing literature reported that the vegetation index did not change significantly in China during 2000-2012. However, we found that the shrubland EVI in China increased significantly at a rate of 1.01ˆ10´3 EVI¨a´1 from 2001 to 2013. Two major shrubland types (subtropical evergreen and temperate deciduous) and two desert types (high-cold desert and temperate desert) increased significantly, whereas subalpine evergreen shrubland decreased at a rate of´0.64ˆ10´3 EVI¨a´1. We also detected a significantly lengthened growing season of temperate deciduous shrubland. The growing season length contributed significantly to the annual averaged EVI for temperate deciduous, subalpine deciduous and subtropical evergreen shrublands. Furthermore, the precipitation variation contributed more to the annual averaged EVI than the temperature. The year-round decrease in rainfall and the increase in temperature led to a significant reduction in the subalpine evergreen shrubland EVI. The enhancement of countrywide shrubland EVI may promote its contribution to the regional ecosystem function and its potential to invade grasslands.

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“…The Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index dataset includes both NDVI and EVI data every 16 days and the spatial resolution is 250km. They are widely used in vegetation assessment and monitoring at regional scale (Cao et al, 2014;Jiang et al, 2015). Researches of vegetation dynamics have been widely public.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Pattern of Vegetation Index Change and the Relationship to Land Surface Temperature in Zoige

Chen¹,

Jiang²,

Tang³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Zoige wetland is the largest alpine peat wetland in China, and it has been degrading since 1960s. MODIS Enhance Vegetation Index (EVI) and Land Surface Temperature (LST) products in late august from 2000 to 2014 were employed to explore vegetation index and land surface temperature change tendency and to perform Temperature Vegetation Dryness Index (TVDI). The correlation between the annual mean of EVI and annual mean of LST was also calculated at pixel scale. The main purpose of this study is to explore the relationship between wetland degradation and climate change. The main conclusions are as follows: (1) Average EVI in Zoige plateau tended to be decreasing from 2000 to 2014, especially after 2007. In wetland areas, the annual mean of EVI were negative, while the slope were positive. It showed that the water storage of wetlands in Zoige plateau had been decreasing in the past 15 years and will keep decreasing in the future. (2) Overall, LST in the whole Zoige plateau had been increasing since 2000. While the minimum TVDI increased from 2000 to 2008 and then decreased. The change of TVDI suggested that drought should be a main factor that lead to wetland degradation in Zoige. (3) The uneven distribution of the correlation between EVI and LST suggested that LST is also one of the main reasons of wetland degradation.

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Spatio-temporal analysis of vegetation variation in the Yellow River Basin

Cited by 356 publications

References 34 publications

Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light

Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light

The Greenness of Major Shrublands in China Increased from 2001 to 2013

Spatial-Temporal Pattern of Vegetation Index Change and the Relationship to Land Surface Temperature in Zoige

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