Vegetation response to climatic variation and human activities on the Ordos Plateau from 2000 to 2016

Long, Yinping; Jia, Xiaoxu; Wang, Haibing; Li, Yongshan

doi:10.1007/s12665-019-8732-z

Cited by 27 publications

(16 citation statements)

References 56 publications

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“…NDVI variations are jointly affected by climate variability and human activities [ 64 , 66 , 67 ]. However, the impact of human activities on the NDVI of deserts is difficult to assess by using only one indicator or several indicators.…”

Section: Methodsmentioning

confidence: 99%

China’s deserts greening and response to climate variability and human activities

Liu

Xin

2021

PLoS ONE

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Vegetation, which is a good indicator of the impacts of climate variability and human activities, can reflect desert ecosystem dynamics. To reveal the vegetation variations in China’s deserts, trends in the monthly, seasonal, and annual normalized difference vegetation index (NDVI) from 2000 to 2017 were measured both temporally and spatially by the Theil-Sen estimator and Mann-Kendall test. Additionally, correlation coefficients and residual analysis were employed to evaluate the correlations between the NDVI and climatic factors and to distinguish the impacts of climate variability and human activities. The results showed that China’s deserts underwent greening. The annual NDVI showed a significant increasing trend at a rate of 0.0018/yr, with values of 0.094 in 2000 and 0.126 in 2017. Significant increasing trends in NDVI were observed in all four seasons. The NDVI were higher in summer and autumn than in spring and winter. Both the monthly NDVI and its trends showed an inverted U-shaped curve during the year. Spatially, the greening trends were mainly distributed on the southern edge of the Gurbantunggut Desert, in the northwestern part of the Taklimakan Desert, and in the Kubuqi Desert. The correlations between the NDVI and climatic factors at the monthly and seasonal scales were stronger than those at the annual scale. Temperature and precipitation had positive effects on NDVI at the monthly and seasonal scales, but only precipitation had a positive effect at the annual scale. Human activities, especially oasis expansion and sand stabilization measures, were two major causes of large increasing areas of desert greening in China indicated by the NDVI.

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Section: Methodsmentioning

confidence: 99%

China’s deserts greening and response to climate variability and human activities

Liu

Xin

2021

PLoS ONE

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“…The hilly and gully areas in the east and the wavy plateau areas in the west covers around 30% and 24% of the total land area, respectively. Moreover, the Kubuqi desert and Maowusu sandy land in the middle and the Yellow River area in the north account for around 40% and 6% of the total land area respectively [51]. Ordos has a temperate continental climate with an average annual temperature between 6.7-8.4 ℃, an annual sunshine duration between 2881-3221.6 h, average annual relative humidity between 43-49%, average annual precipitation between 252-670 mm, and annual evaporation ranging from 2000-3000 mm [52].…”

Section: A Study Areamentioning

confidence: 99%

“…The ISA increased 90.76 times from 5.76 km 2 to 529.71 km 2 , showing exponential growth (y = 2.5164e 0.7625x ) with R 2 of 0.9835 (Figure 4b). For 1990For -1995For , 1995For -2000For , and 2000For -2005 the ISA increased the most in Ordos, mainly due to economic policies. GDP in Ordos increased by 158.29 billion yuan during this period with the best coal benefits and increased government investment in buildings and factories.…”

Section: B Examination Of the Isa Spatial Patterns And Dynamic Changesmentioning

confidence: 99%

Mapping Impervious Surface Distribution and Dynamics in an Arid/Semiarid Area-A Case Study in Ordos, China

et al. 2021

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The impervious surface area (ISA) has become an important parameter in the areas such as surface runoff, climate change, and socioeconomic analysis. However, using remote sensing data to accurately map ISA is still difficult due to its complexity in the arid and semi-arid areas with large amounts of bare soil, sparse vegetation, and a small ISA. In this study, we have selected Ordos city as study area and examined the spatial pattern and dynamics in the years

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“…When using RESTREND, it is necessary to combine other data to identify the impact of human activities on vegetation, such as fire data (Chu et al 2019), human footprint pressure, land use or relevant national policies (Jiang et al 2017). Establishing a reasonable regression relationship between vegetation and climatic factors is also critical to identify human activities accurately (Ma et al 2019). In our study, not only RESTREND but also human footprint map was used to fully detect the effects of human activities.…”

Section: Effects Of Human Activities and Limitations Of Restrendmentioning

confidence: 99%

Satellite View of Vegetation Dynamics and Drivers Over Southwestern China

Yan

Wang

Jiang

et al. 2020

Preprint

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Background: Vegetation is a key component of terrestrial ecosystems. The dynamics of vegetation can be used as an indicator of vegetation health and ecosystem stability. However, the dynamics and responses of vegetation in Southwestern China remain unclear.Methods: Both monotonic and turning point approaches were used in trend analysis to understand the dynamics of vegetation. We applied partial correlation analysis and the relative importance of climatic factors to determine the drivers of vegetation dynamics. Residual trend analysis was applied to distinguish other drivers.Results: The annual mean NDVI generally increased at a rate of 0.0011 year−1 from 1982 to 2015, but much of the study area showed the opposite trend before and after the turning point during this period. The vegetation in the western part of the study area was degraded and increased significantly in the eastern part of the study area. An increasing trend that continued to an increasing trend (II) and a decreasing trend that changed into an increasing trend (DI) were two of the largest patterns of vegetation trends, and they were mainly distributed in the eastern part of the study area. An increasing trend that changed into a decreasing trend (ID) was mainly distributed in the western part of the study area, where the vegetation types were mainly evergreen needle-leaved and grassland. Temperature was the dominant climatic factor and had a positive correlation with vegetation in the eastern part of the study area. Temperature also had some negative correlations with vegetation in western mountainous areas where surface soils are prone to droughts. Solar radiation had a positive correlation with vegetation in the western part of the study area. In addition, the regions with more intensity human activities than other areas were concentrated in the eastern part of the study area.Conclusions: The spatial distribution and trend showed high heterogeneity over Southwestern China. Temperature was the dominant climatic factor. In the eastern part of the study area, human activities played an important role in vegetation greening.

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Vegetation response to climatic variation and human activities on the Ordos Plateau from 2000 to 2016

Cited by 27 publications

References 56 publications

China’s deserts greening and response to climate variability and human activities

China’s deserts greening and response to climate variability and human activities

Mapping Impervious Surface Distribution and Dynamics in an Arid/Semiarid Area-A Case Study in Ordos, China

Satellite View of Vegetation Dynamics and Drivers Over Southwestern China

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