Linkages of the dynamics of glaciers and lakes with the climate elements over the Tibetan Plateau

Sun, Jian; Zhou, Tiancai; Liu, Miao; Chen, Youchao; Shang, Hua; Zhu, Liping; Shedayi, Arshad Ali; Yu, Huan; Cheng, Guodong; Li, Guohua; Xu, Minggang; Deng, Wei; Fan, Jihui; Lü, Xianguo; Sha, Yukun

doi:10.1016/j.earscirev.2018.06.012

Cited by 103 publications

(64 citation statements)

References 140 publications

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“…It has been commonly used in many regions, including Europe, Australia, New Zealand, China, Africa, South America and parts of Southeast Asia (Price, Mckenney, Nalder, Hutchinson, & Kesteven, 2000). The aridity index (AI) was calculated with Equation 3 (Sun, Zhou, et al, 2018): The aridity index (AI) was calculated with Equation 3 (Sun, Zhou, et al, 2018):…”

Section: Climate Databasementioning

confidence: 99%

“…The TP (Figure 1a) mainly including the regions of Tibet, Qinghai and the north-west of Sichuan. The TP accounts for approximately 25% of China's mainland, with an average elevation of about 4,000 m. The TP is characterized by temperature and precipitation gradients due to the complex geographical and geomorphological environment (Sun, Zhou, et al, 2018). Specifically, the annual mean precipitation…”

Section: Study Areamentioning

confidence: 99%

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Water and heat availability are drivers of the aboveground plant carbon accumulation rate in alpine grasslands on the Tibetan Plateau

Sun

Zhou

Liu

et al. 2019

Global Ecol Biogeogr

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Aim: Climate change is expected to have important effects on plant phenology and carbon storage, with further shifts predicted in the future. Therefore, we proposed the community carbon accumulation rate (CAR) from the start of the growing season (SOS) to the peak of the growing season (POS) to fill the gap that the dynamic interactions between plant phenology and plant carbon research. Location: Tibetan Plateau.Major taxa: Alpine grassland plants. Time period: 2015.Methods: We conducted a transect survey across grasslands to measure community aboveground net primary production and carbon concentration. Additionally, phenology indicator data (SOS and POS) were extracted from the Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index version 3 database. Next, we used 'changepoint' analysis to detect the patterns of CARs, and performed linear regression and one-way ANOVA to explore the

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Section: Climate Databasementioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Water and heat availability are drivers of the aboveground plant carbon accumulation rate in alpine grasslands on the Tibetan Plateau

Sun

Zhou

Liu

et al. 2019

Global Ecol Biogeogr

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“…This may be mainly caused by the combination effects of T a , precipitation, and groundwater cycles during this period. Afterwards, under the background of the warming and wetting climate of TP, the retreat amplitudes of most of glaciers over the TP and surrounding regions appear to be accelerating and reach a maximum in the 1990s [41,42]. Yao et al (2007) reported that the magnitude of glacial retreat is largest in the Karakorum Mountains (near the Ali site) in the 1990s.…”

Section: Discussionmentioning

confidence: 99%

The Long-Term Change of Latent Heat Flux over the Western Tibetan Plateau

Zhao

Wang

et al. 2020

Atmosphere

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The Tibetan Plateau (TP) has been experiencing warming and wetting since the 1980s. Under such circumstances, we estimated the summer latent heat flux (LE) using the maximum entropy production model driven by the net radiation, surface temperature, and soil moisture of three reanalysis datasets (ERA5, JRA-55, and MERRA-2) at the Ali site over the western TP during 1980–2018. Compared with the observed LE of the Third Tibetan Plateau Atmospheric Scientific Experiment, the coefficient of determination, root-mean-square error, and mean bias error of the estimated summer LE are 0.57, 9.3 W m−2, and −2.25 W m−2 during 2014–2016, respectively, which are better than those of LE of the reanalysis datasets. The estimated long-term summer LE presents a decreasing (an increasing) trend of −7.4 (1.8) W m−2 decade−1 during 1980–1991 (1992–2018). The LE variation is closely associated with the local soil moisture influenced by precipitation, glacier, and near-surface water conditions at the Ali site. The summer soil moisture also presents a decreasing (an increasing) trend of −0.082 (0.022) decade−1 during 1980–1991 (1992–2018). The normalized difference vegetation index generally shows the consistent trend with LE at the Ali site.

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“…Overall, the changes of water budgets in closed lakes in the whole TP indicated obviously temporal variability and spatial heterogeneity (Kang et al, 2010; Lei et al, 2014; Yang et al, 2017). Water levels of many lakes in the Changtang Plateau and the central and northern TP increased over recent decades, while the lakes along the Himalayan Mountains and in the Southern TP showed stable variations or weak decreasing trends (Song, Huang, Richards, et al, 2014; Lei et al, 2017; Zhang et al, 2011; Jiang et al, 2017; Sun et al, 2018; Wu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Located in the Southern TP, the lake of the Yamzho Yumco (YY) is one of the “three holy lakes” of Tibet (Zhao et al, 2016), and its water level drastically declined by more than 5.00 m over the last four decades (Chu et al, 2012), differing from the stable variations or weak decreasing trends in other lakes in the surrounding region. For example, the declining rate of water level of YY was about 10 times of those in the Peiku Co and Puma Yumco in the Southern TP (Jiang et al, 2017; Sun et al, 2018). The decline in water storage of YY has disastrous influence on the fragile ecological systems, as well as the agriculture and livestock development in the basin.…”

Section: Introductionmentioning

confidence: 99%

What Caused the Decline of Water Level of Yamzho Yumco During 1975–2012 in the Southern Tibetan Plateau?

Sang

Chen

2020

JGR Atmospheres

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Variability of water balance in closed lakes in the Tibetan Plateau (TP) can be a useful indicator of climate change. While most of lakes over the TP have been expanding, especially in the inner TP, the Yamzho Yumco in the Southern TP faced a significant water level decline in 1975–2012. This study focused on attribution of the water level changes to various factors with the help of a physically based and a statistical model for the water balance of the lake, along with observed precipitation and lake surface evaporation data. Results showed that climatic conditions dominated the changes in water level until 1997, and human activity through the construction and operation of a hydropower station started to play a strong role after 1998. The lake level has gone up and down due to changes in precipitation‐generated recharge and evaporation over the study period. The water level decline in 1975–1997 was mainly due to low level of the recharge from precipitation and land runoff. However, the drastic decline of water level in 2006–2012 was far from the reach of the climatic conditions. It was indeed caused by the intensified influence of the building and operation of a nearby hydropower station. It was also found that the water level change during the whole period (1975–2012) followed the aridity index for the basin, especially before 1989. This provides an effective way to predict future changes of lake level, if reliable projections for future climate change and human activity are available.

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Linkages of the dynamics of glaciers and lakes with the climate elements over the Tibetan Plateau

Cited by 103 publications

References 140 publications

Water and heat availability are drivers of the aboveground plant carbon accumulation rate in alpine grasslands on the Tibetan Plateau

Water and heat availability are drivers of the aboveground plant carbon accumulation rate in alpine grasslands on the Tibetan Plateau

The Long-Term Change of Latent Heat Flux over the Western Tibetan Plateau

What Caused the Decline of Water Level of Yamzho Yumco During 1975–2012 in the Southern Tibetan Plateau?

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