2020
DOI: 10.1038/s41598-020-76534-z
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Characteristics of temperature evolution from 1960 to 2015 in the Three Rivers’ Headstream Region, Qinghai, China

Abstract: The cumulative anomaly analysis, the ensemble empirical mode decomposition (EEMD), the Bernaola Galvan heuristic segmentation algorithm (BGSA), the Le Page test, the moving t test at different sub-series scales, and the quasi-periodic oscillations (QPOs) were used to demonstrate the statistical characteristics of the temperature changes in the study area from 1960 to 2015. The results were as follows: the temperatures varied obviously among subregions and seasons and they generally increased; the climate tende… Show more

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Cited by 15 publications
(13 citation statements)
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“…Taking the TRHR as a whole region, the summer precipitation over the target region is increased due to the contribution from the northwestern part (as shown in Figure 1C, black dots). This interannual precipitation trend of the "south-drier and north-wetter" spatial pattern is consistent with the wetting trend in the TRHR, which have been demonstrated in previous studies, for example, by Yi et al (2013) and Liu et al (2019).…”
Section: Resultssupporting
confidence: 92%
“…Taking the TRHR as a whole region, the summer precipitation over the target region is increased due to the contribution from the northwestern part (as shown in Figure 1C, black dots). This interannual precipitation trend of the "south-drier and north-wetter" spatial pattern is consistent with the wetting trend in the TRHR, which have been demonstrated in previous studies, for example, by Yi et al (2013) and Liu et al (2019).…”
Section: Resultssupporting
confidence: 92%
“…On the contrary, the curve shows a downward trend. According to the slope change, obvious mutation points can be detected and the time of mutation of the data series can be judged (Liu et al 2020).…”
Section: Trend and Mutation Analysismentioning
confidence: 99%
“…Due to its particular geographical location, alpine grassland is characterized by specific factors such as high altitude, sensitivity to climate change (Chen et al 2013), fragile habitat, distinctive structure of husbandry, and limited livelihood of local people. In addition, the alpine grasslands have been subject to an overall "warm and humid" climatic trend in the Qinghai-Tibetan Plateau (Xu et al 2008;Chen et al 2013;Liu et al 2020b). These single or complex factors, directly and indirectly, lead to the spatial and temporal differences of degradation forms, degradation intensity, and restoration methods of alpine grassland (Chen et al 2013;Li et al 2013;McSherry and Ritchie 2013;Yan and Lu 2015;Cao et al 2019;Dong et al 2020;Fayiah et al 2020;Wang et al 2020).…”
Section: Cluster #2 "Alpine Region"mentioning
confidence: 99%