Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator

Guli·Jiapaer,; Liang, Shunlin; Qian, Yi; Liu, Jinping

doi:10.1016/j.ecolind.2015.05.036

Cited by 210 publications

(110 citation statements)

References 35 publications

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“…In the long geological history of the earth, carbon stocks in vegetation are almost the only source of oxygen in the atmosphere, determining the trend of the earth's environment. Vegetation coverage has changed dynamically over time, which is of vital importance to global climate change and the creation of environmental policies [4][5][6][7][8][9][10][11][12]. Fractional vegetation coverage (FVC) is a sensitive and important ecological parameter for describing vegetation biomes and ecosystems, and for responding to regional or global environmental change, which is defined as the ratio of the vertical vegetation projected area and surface area within the observation region [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

et al. 2017

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For centuries, the rapid development of human society has already made human activity the dominant factor in the terrestrial ecosystem. As the city of greatest importance in China, the capital Beijing has experienced eco-environmental changes with unprecedented economic and population growth during the past few decades. To better understand the ecological transition and its correlations in Beijing, Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) images were used to investigate vegetation coverage changes using a dimidiate pixel model. Piecewise linear regression, bivariate-partial correlation analysis, and factor analysis were applied to the probing of the relationship between vegetation coverage changes and climatic/human-induced factors. The results showed that from 2000 to 2005, 2005 to 2010, and 2010 to 2015, Beijing experienced both restoration (6.33%, 10.08%, and 12.81%, respectively) and degradation (13.62%, 9.35%, and 9.49%, respectively). The correlation analysis results between climate and vegetation changes demonstrated that from 2000 to 2015, both the multi-year annual mean temperature (r = −0.819, p < 0.01) and the multi-year annual mean precipitation (r = 0.653, p < 0.05) had a significantly correlated relationship with vegetation change. The Beijing-Tianjin Sandstorm Source Control Project (BTSSCP) has shown beneficial spatial effects on vegetation restoration; the total effectiveness in conservation areas (84.94 in 2000-2010) was much better than non-BTSSCP areas (34.34 in 2000-2010). The most contributory socioeconomic factors were the population (contribution = 54.356%) and gross domestic product (GDP) (contribution = 30.677%). The population showed a significantly negative correlation with the overall vegetation coverage (r = −0.684, p < 0.05). The GDP was significantly negatively correlated with vegetation in Tongzhou, Daxing, Central city, Fangshan, Shunyi, and Changping (r = −0.601, p < 0.01), while positively related in Huairou, Miyun, Pinggu, Mentougou and Yanqing (r = 0.614, p < 0.01). These findings confirm that human activity is a very significant factor in impacting and explaining vegetation changes, and that some socioeconomic influences on vegetation coverage are highly spatially heterogeneous, based on the context of different areas.

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Section: Introductionmentioning

confidence: 99%

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

et al. 2017

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“…The Hurst exponent (H), which was proposed by Hurst (1951) and improved by Mandelbrot and Wallis (1969), has been widely used to evaluate the persistence of trends in time series data. The commonly used approach to compute H is the rescaled range (R/S) technique and its application in vegetation time-series analysis is well documented 5 (Jiapaer et al, 2015;Ndayisaba et al, 2016;Tong et al, 2016). The value of H ranges from 0 to 1 and is typically categorized into three levels (H<0.5, H=0.5 and H>0.5).…”

Section: Persistence Of Vegetation Trendmentioning

confidence: 99%

“…Studies on the causes of variations in vegetation have shown that climatic factors, particularly precipitation and temperature, significantly influence vegetation dynamics (Jiapaer et al, 2015;Liu et al, 2015;Montaldo et al, 2008;Tagesson et al, 2015). For instance, Tagesson et al (2015) reported a strong link between inter-annual variation in species composition and 25 rainfall distribution in a semiarid savanna grassland study site in West Africa region.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal vegetation dynamics and relationship with climate over East Africa

Musau

Patil

Sheffield

et al. 2016

Preprint

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“…Most precipitation falls as rain during the summer months (May-September), which accounts for 90% of AMP. The region is mainly comprised of alpine steppe and alpine meadow, and the most important ecosystem is alpine grassland [1,[22][23][24]. Vegetation types range from forest in the southeast to grassland in the northwest.…”

Section: Study Areamentioning

confidence: 99%

The Impact of Climate Change and Human Activity on Net Primary Production in Tibet

Qin¹,

Sun²,

Liu³

et al. 2016

Pol. J. Environ. Stud.

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Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator

Cited by 210 publications

References 35 publications

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

Spatio-temporal vegetation dynamics and relationship with climate over East Africa

The Impact of Climate Change and Human Activity on Net Primary Production in Tibet

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