Climate changes in temperature and precipitation extremes in an alpine grassland of Central Asia

Hu, Zengyun; Li, Qingxiang; Chen, Xi; Teng, Zhidong; Chen, Changchun; Yin, Gang; Zhang, Yuqing

doi:10.1007/s00704-015-1568-x

Cited by 70 publications

(60 citation statements)

References 58 publications

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“…A decreasing trend (−2.00 mm/year) was then observed until 2008. This observation agrees with the findings of the previous study (Hu et al, ). Compared with OBS, the three gridded data sets have fewer biases during the increasing period (1901–1953) than those during the period of decrease (1954–2008).…”

Section: Resultsmentioning

confidence: 99%

“…The performances of the three data sets were also evaluated by the topographic effect over mountainous and plain areas (Figure b), which are distinguished according to elevation and slope (Hu et al, ; ). The definition of mountainous area by the United Nations Environment Programme (UNEP) was used: A mountainous area should have an elevation >2,500 m or an elevation between 1,500 and 2,500 m with a slope >2° or an elevation between 1,000 and 1,500 m with a slope >5° or local relief >300 m (Blyth et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…In that approach, precipitation observed at stations falling within a grid cell will be averaged to obtain an estimate for the observed precipitation at the centre grid of that grid cell and then compared to the corresponding gridded value from a gridded data set. The advantages of this approach had been well recognized in previous studies (Ma et al, ; Hu et al, ). Most of the times, it should be a more suitable method than interpolation (downscale or upscale) because it avoids the uncertainties of the interpolation methods, especially for regions with unequally distributed and sparse rain gauges (Salio et al, ).…”

Section: Study Area Data Sets and Methodologymentioning

confidence: 99%

“…() and Hu et al . (). The spatial distributions of the performances revealed the accuracies of the three gridded data sets for each of the 586 stations.…”

Section: Study Area Data Sets and Methodologymentioning

confidence: 99%

“…It should be noted that the observed precipitation records from each of the 586 stations were very important over this arid region, which has sparse observational records. Therefore, in the following analysis, all the 586 stations were used to evaluate the performances of GPCC, CRU and WM using the approach in Ma et al (2009) and Hu et al (2016b). The spatial distributions of the performances revealed the accuracies of the three gridded data sets for each of the 586 stations.…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

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Section: Study Area Data Sets and Methodologymentioning

confidence: 99%

“…() and Hu et al . (). The spatial distributions of the performances revealed the accuracies of the three gridded data sets for each of the 586 stations.…”

Section: Study Area Data Sets and Methodologymentioning

confidence: 99%

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confidence: 99%

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Effects of disturbances on aboveground biomass of alpine meadow in the Yellow River Source Zone, Western China

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Ecology and Evolution

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A field experiment quantifies the impacts of two external disturbances (mowing‐simulated grazing and number of pika) on aboveground biomass (AGB) in the Yellow River Source Zone from 2018 to 2020. AGB was estimated from drone images for 27 plots subject to three levels of each disturbance (none, moderate, and severe). The three mowing severities bear a close relationship with AGB and its annual change. The effects of pika disturbance on AGB change were overwhelmed by the significantly different AGB at different mowing severities (−.471 < r < −.368), but can still be identified by inspecting each mowing intensity (−.884 < r < −.626). The impact of severe mowing on AGB loss was more profound than that of severe pika disturbance in heavily disturbed plots, and the joint effects of both severe disturbances had the most impacts on AGB loss. However, pika disturbance made little difference to AGB change in the moderate and non‐mowed plots. Mowing intensity weakens the relationship between pika population and AGB change, but pika disturbance hardly affects the relationship between mowing severity and AGB change. The effects of both disturbances on AGB were further complexified by the change in monthly mean temperature. Results indicate that reducing mowing intensity is more effective than controlling pika population in efforts to achieve sustainable grazing of heavily disturbed grassland.

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Variations and changes of annual precipitation in Central Asia over the last century

Zhou

Chen

et al. 2017

Intl Journal of Climatology

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153

122

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This study examines the temporal variations and spatial distributions of annual precipitation over Central Asia during the periods of 1901–2013, 1951–2013, and 1979–2013 using the latest version of Global Precipitation Climatology Centre (GPCC) full data reanalysis version 7 (GPCC V7) data set. The linear trend and multiperiods of the precipitation over the entire region and plain and mountainous area separately are analysed by linear least square method and ensemble empirical mode decomposition method. An overall increasing trend [0.66 mm (10 years)−1] is found for the entire region during 1901–2013, which is smaller than that of 1951–2013. The regional annual precipitation exhibits multi‐decadal variations, with a sharp decline during 1901–1944, followed by an increase until 1980s, and a fluctuation thereafter. During 1979–2013, the mountainous area shows a greater increasing trend than the entire region. Furthermore, the regional annual precipitation has exhibited high‐frequency variations with 3‐year and 6‐year quasiperiods and a low‐frequency variation with 28‐year quasiperiods. In terms of the spatial distribution, increasing trend in the annual precipitation is found in Xinjiang and decreasing trends appear over the five countries of Central Asia during 1951–2013. Empirical orthogonal function results show that the mountainous area is the large variability centre of the annual precipitation. The dominant mode of interannual variability in Central Asia annual precipitation is related to El Niño‐Southern Oscillation, which explains about 17% of the interannual variance during 1951–2013. The results of this study describe the long‐term variation in the annual precipitation over Central Asia as well as its relationship with some key climate indices in great detail, which will benefit the understanding and the prediction of the climate variations in this region.

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Climate changes in temperature and precipitation extremes in an alpine grassland of Central Asia

Cited by 70 publications

References 58 publications

Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

Effects of disturbances on aboveground biomass of alpine meadow in the Yellow River Source Zone, Western China

Variations and changes of annual precipitation in Central Asia over the last century

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