Response of vegetation coverage to climate change in Mongolian Plateau during recent 10 years

Lijuan, 缪丽娟 Miao; Chong, 蒋冲 Jiang; Bin, 何斌 He; Qiang, 刘强 Liu; Feng, 朱枫 Zhu; Xuefeng, 崔雪锋 Cui

doi:10.5846/stxb201304100659

Cited by 10 publications

(6 citation statements)

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“…Distortion of climatic data may occur due to changes in the observation instruments and the surrounding environment of the observation spots. For data from meteorological stations, it is necessary to conduct homogeneity test to eliminate the unavailable data; for some missing data of the meteorological stations, linear regression method is used for interpolation and supplementation [43]. In the existing studies, Thin Plate Spline and Kriging are commonly used for air temperature interpolation [44], Kriging and Thin Plate Spline for precipitation interpolation [45], Kriging and Inverse Distance Weighting (IDW) for relative humidity interpolation [46], and Kriging, Cokriging and other methods for sunshine duration spatial interpolation [47].…”

Section: Methodsmentioning

confidence: 99%

Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change

Huang

Zhang

et al. 2019

IJERPH

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The fragile alpine vegetation in the Tibetan Plateau (TP) is very sensitive to environmental changes, making TP one of the hotspots for studying the response of vegetation to climate change. Existing studies lack detailed description of the response of vegetation to different climatic factors using the method of multiple nested time series analysis and the method of grey correlation analysis. In this paper, based on the Normalized Difference Vegetation Index (NDVI) of TP in the growing season calculated from the MOD09A1 data product of Moderate-resolution Imaging Spectroradiometer (MODIS), the method of multiple nested time series analysis is adopted to study the variation trends of NDVI in recent 17 years, and the lag time of NDVI to climate change is analyzed using the method of Grey Relational Analysis (GRA). Finally, the characteristics of temporal and spatial differences of NDVI to different climate factors are summarized. The results indicate that: (1) the spatial distribution of NDVI values in the growing season shows a trend of decreasing from east to west, and from north to south, with a change rate of −0.13/10° E and −0.30/10° N, respectively. (2) From 2001 to 2017, the NDVI in the TP shows a slight trend of increase, with a growth rate of 0.01/10a. (3) The lag time of NDVI to air temperature is not obvious, while the NDVI response lags behind cumulative precipitation by zero to one month, relative humidity by two months, and sunshine duration by three months. (4) The effects of different climatic factors on NDVI are significantly different with the increase of the study period.

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Section: Methodsmentioning

confidence: 99%

Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change

Huang

Zhang

et al. 2019

IJERPH

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“…According to the Global Aridity Index dataset, which is based on UNEP's (1997) aridity degree classification, the MP can be divided into an arid area (including an extremely arid area), a semi-arid area, and a semi humid area (including a humid area). The desert, grassland, and forest are located mainly in the arid, semi-arid, and semi humid areas, respectively (Miao et al, 2014). Although climate change, especially precipitation changes, have affected the boundaries of these climate zones to some extent (Jeong et al, 2011;Sternberg et al, 2015), they have remained relatively stable on the whole.…”

Section: Study Areamentioning

confidence: 99%

Identifying the factors driving vegetation degradation and restoration in the desert, grassland, and forest regions of the Mongolian Plateau

Zhao¹,

Yan²,

Wörns³

et al. 2020

Preprint

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The Mongolian Plateau (MP) plays an important role in the global carbon cycle and has significant impacts on the ecological security of northeastern Asia. Affected by land degradation and desertification, the vegetation cover on the MP experiences major changes under the influence of human activity and climate change. In contrast to previous holistic studies on the MP, this research focusses on the features of vegetation cover and divides the MP into three subregions (desert, grassland, and forest) to analyze vegetation dynamics and identify the driving factors behind vegetation change in this region. The residual analysis method is used and its "errors" are discussed. The results show the following. 1) The area of vegetation restoration is larger than the area experiencing vegetation degradation, and, overall, vegetation is greening and vegetation degradation is tending to reverse on the MP. 2) The ranking of vegetation change intensity is forest > grassland > desert subregions. 3) Climate change is the principal control on vegetation restoration across the whole MP, including the grassland and forest regions. Human activity similarly affects both vegetation restoration and degradation, but the effect of human activity is greater than that of climate change in the desert region. This research confirms that vegetation restoration activity is effective in the desert subregion of the MP.

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“…With a relatively small human population, the Mongolian Plateau offers a nearly natural ecosystem, making it a unique area for studying vegetation phenology in response to climate change [3][4][5]. In recent years, the ecological environmental issues on the Mongolian Plateau, including grassland degradation and intensified drought, have gained widespread attention due to the intensification of global climate change activities [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Growing Season Normalized Difference Vegetation Index Variation and Its Influencing Factors on the Mongolian Plateau Based on Google Earth Engine

Yan

Xin

Bai

et al. 2023

Plants

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Frequent dust storms on the Mongolian Plateau have adversely affected the ecological environmental quality of East Asia. Studying the dynamic changes in vegetation coverage is one of the important means of evaluating ecological environmental quality in the region. In this study, we used Landsat remote sensing images from 2000 to 2019 on the Mongolian Plateau to extract yearly Normalized Difference Vegetation Index (NDVI) data during the growing season. We used partial correlation analysis and the Hurst index to analyze the spatiotemporal characteristics of the NDVI before and after the establishment of nature reserves and their influencing factors on the GEE cloud platform. The results showed that (1) the proportion of the region with an upwards trend of NDVI increased from 52.21% during 2000–2009 to 67.93% during 2010–2019, indicating a clear improvement in vegetation due to increased precipitation; (2) the increase in precipitation and positive human activities drove the increase in the NDVI in the study region from 2000 to 2019; and (3) the overall trend of the NDVI in the future is expected to be stable with a slight decrease, and restoration potential is greater for water bodies and grasslands. Therefore, it is imperative to strengthen positive human activities to safeguard vegetation. These findings furnish scientific evidence for environmental management and the development of ecological engineering initiatives on the Mongolian Plateau.

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Response of vegetation coverage to climate change in Mongolian Plateau during recent 10 years

Cited by 10 publications

References 0 publications

Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change

Dynamic Changes of NDVI in the Growing Season of the Tibetan Plateau During the Past 17 Years and Its Response to Climate Change

Identifying the factors driving vegetation degradation and restoration in the desert, grassland, and forest regions of the Mongolian Plateau

Analysis of Growing Season Normalized Difference Vegetation Index Variation and Its Influencing Factors on the Mongolian Plateau Based on Google Earth Engine

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