Impacts of winter warming and permafrost degradation on water variability, upper Lhasa River, Tibet

Liu, Jingshi; Xie, Jialin; Wang, Hong; Xie, Yu

doi:10.1016/j.quaint.2010.12.018

Cited by 27 publications

(23 citation statements)

References 14 publications

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“…The winter warming trends identified in our study across the BTSSR are similar to those previously identified in Europe [81], North Asia and North America [82], subarctic [83], China [84,85], and other areas across the globe [86]. Winter warming will undoubtedly be beneficial in alleviating vegetation damage due to freezing temperatures, to both native and planted vegetation, and it will increase the possibility of using low cold-tolerant plants to revegetate the BTSSR.…”

Section: Resultssupporting

confidence: 82%

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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In order to examine temperature changes and extremes in the Beijing-Tianjin Sand Source Region (BTSSR), ten extreme temperature indices were selected, categorized, and calculated spanning the period 1960-2014, and the spatiotemporal variability and trends of temperature and extremes on multitimescales in the BTSSR were investigated using the Mann-Kendall (M-K) test, Sen's slope estimator, and linear regression. Results show that mean temperatures have increased and extreme temperature events have become more frequent. Annual temperature has recorded a significant increasing trend over the BTSSR, in which 51 stations exhibited significant increasing trends ( < 0.05); winter temperature recorded the most significant increasing trend in the northwest subregion. All extreme temperature indices showed warming trends at most stations; a higher warming slope in extreme temperature mainly occurred along the northeast border and northwest border and in the central-southern mountain area. As extreme low temperature events decrease, vegetation damage due to freezing temperatures will reduce and low cold-tolerant plants may expand their distribution range northward to revegetate barren areas in the BTSSR. However, in water-limited areas of the BTSSR, increasing temperatures in the growing season may exacerbate stress associated with plants relying on precipitation due to higher temperatures combining with decreasing precipitation.

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Section: Resultssupporting

confidence: 82%

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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“…They observed an increasing trend in annual runoff with two abrupt change points around 1970 and in the early 1980s. Liu et al [6] established the correlation between discharge and temperature using correlation analysis and identified an abrupt change point for winter streamflow. However, these studies focused more on runoff characteristics at an annual scale or qualitative attribution analysis of streamflow variability, while few addressed extreme hydrological regimes such as floods or low flows in the Lhasa River Basin.…”

Section: Introductionmentioning

confidence: 99%

Attribution Analysis of Dry Season Runoff in the Lhasa River Using an Extended Hydrological Sensitivity Method and a Hydrological Model

Mei

Chen

et al. 2019

Water

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In this study, a coupled water-energy balance equation at an arbitrary time scale was proposed as an extension of the Budyko hypothesis. The second mixed partial derivative was selected to represent the magnitude of the interaction. The extended hydrological sensitivity method was used to quantitatively evaluate the impacts of climate change, anthropogenic activities, and their interaction on dry season runoff in the Lhasa River. In addition, an ABCD model, which is a monthly hydrological model included a snowmelt module, was used to calculate the change in soil water and groundwater storage. The Mann-Kendall test, Spearman's test, dynamic linear model (DLM), and Yamamoto's method were used to identify trends and change points in hydro-climatic variables from 1956-2016. The results found that dry season runoff increased non-significantly over the last 61 years. Climate change, which caused an increase in dry season runoff, was the dominant factor, followed by anthropogenic activities and their interaction, which led to varying degrees of decrease. This study concluded that the methods tested here performed well in quantifying the relative impacts of climate change, anthropogenic activities, and their interaction on dry season runoff change.

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“…Especially in the "Three-River Headwaters" region, moderate or seriously degraded pasture area accounted to 12 million hm 2 , accounting for 58% of the available pasture area (Liu et al, 2008). In recent decades, permafrost on QinghaieTibetan Plateau has also degraded seriously (Wu and Zhang, 2010), and will decrease by approximately 81% by the end of the 21st century (Liu et al, 2011;Guo et al, 2012). The main driving forces of these degenerations are climate change, strong human activity (overgrazing) and devastation due to rodents (Ma et al, 1999;Liu et al, 2008;Yan et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Longitudinal patterns of periphyton biomass in Qinghai–Tibetan Plateau streams: An indicator of pasture degradation?

Ren

Jiang

Cai

2013

Quaternary International

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Impacts of winter warming and permafrost degradation on water variability, upper Lhasa River, Tibet

Cited by 27 publications

References 14 publications

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Attribution Analysis of Dry Season Runoff in the Lhasa River Using an Extended Hydrological Sensitivity Method and a Hydrological Model

Longitudinal patterns of periphyton biomass in Qinghai–Tibetan Plateau streams: An indicator of pasture degradation?

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