Tree-ring minimum density chronologies of Picea schrenkiana along an elevation gradient in the Tien Shan Mountains, China

2020 ◽  
Vol 102 (3) ◽  
pp. 209-221
Author(s):  
Shulong Yu ◽  
Tongwen Zhang ◽  
Shengxia Jiang ◽  
Ruibo Zhang ◽  
Li Qin ◽  
...  
Keyword(s):  
Tree Ring ◽  
Elevation Gradient ◽  
Tien Shan ◽  
Picea Schrenkiana ◽  
Minimum Density ◽  
Tien Shan Mountains

Development of tree-ring maximum latewood density chronologies for the western Tien Shan Mountains, China: Influence of detrending method and climate response

2013 ◽  
Vol 31 (3) ◽  
pp. 192-197 ◽  
Author(s):  
Yu-jiang Yuan ◽  
Tong-wen Zhang ◽  
Wen-shou Wei ◽  
Daniel Nievergelt ◽  
Anne Verstege ◽  
...  
Keyword(s):  
Tree Ring ◽  
Tien Shan ◽  
Climate Response ◽  
Maximum Latewood Density ◽  
Latewood Density ◽  
Tien Shan Mountains

scholarly journals Measuring and inferring the ice thickness distribution of four glaciers in the Tien Shan, Kyrgyzstan

2020 ◽  
pp. 1-18
Author(s):  
Lander Van Tricht ◽  
Philippe Huybrechts ◽  
Jonas Van Breedam ◽  
Johannes J. Fürst ◽  
Oleg Rybak ◽  
...  
Keyword(s):  
Cross Validation ◽  
Thickness Distribution ◽  
Tien Shan ◽  
Ice Thickness ◽  
Ice Volume ◽  
In Situ Data ◽  
Radio Echo Sounding ◽  
Thickness Measurements ◽  
Tien Shan Mountains

Abstract Glaciers in the Tien Shan mountains contribute considerably to the fresh water used for irrigation, households and energy supply in the dry lowland areas of Kyrgyzstan and its neighbouring countries. To date, reconstructions of the current ice volume and ice thickness distribution remain scarce, and accurate data are largely lacking at the local scale. Here, we present a detailed ice thickness distribution of Ashu-Tor, Bordu, Golubin and Kara-Batkak glaciers derived from radio-echo sounding measurements and modelling. All the ice thickness measurements are used to calibrate three individual models to estimate the ice thickness in inaccessible areas. A cross-validation between modelled and measured ice thickness for a subset of the data is performed to attribute a weight to every model and to assemble a final composite ice thickness distribution for every glacier. Results reveal the thickest ice on Ashu-Tor glacier with values up to 201 ± 12 m. The ice thickness measurements and distributions are also compared with estimates composed without the use of in situ data. These estimates approach the total ice volume well, but local ice thicknesses vary substantially.

scholarly journals An outline of avalanches in the Tien Shan mountains

1992 ◽  
Vol 16 ◽  
pp. 7-10 ◽  
Author(s):  
Hu Ruji ◽  
Ma Hong ◽  
Wang Guo
Keyword(s):  
Snow Cover ◽  
Basal Layer ◽  
Liquid Water Content ◽  
Snow Accumulation ◽  
Tien Shan ◽  
Large Temperature ◽  
Snow Avalanches ◽  
Climatic Variations ◽  
Tien Shan Mountains ◽  
Seasonal Snow Cover

The seasonal snow cover in the Tien Shan mountains is characterized by low density, low liquid-water content and low temperature. It is known as typical dry snow. Large temperature gradients in the basal layer of the snow cover exist throughout the entire period of snow accumulation, and depth hoar is therefore extremely well-developed. Full-depth depth-hoar avalanches, however, seldom occur. Avalanches in the Tien Shan mountains are mostly loose snow avalanches. Although normally not large in size, they are the most dangerous type. The occurrence of hazardous avalanches shows cycles of about ten years because of periodic climatic variations.

Permafrost warming in the Tien Shan Mountains, Central Asia

2007 ◽  
Vol 56 (3-4) ◽  
pp. 311-327 ◽  
Author(s):  
S.S. Marchenko ◽  
A.P. Gorbunov ◽  
V.E. Romanovsky
Keyword(s):  
Central Asia ◽  
Tien Shan ◽  
Permafrost Warming ◽  
Tien Shan Mountains

scholarly journals Flavonoid Diversity of Saussurea and Serratula Species in Tien Shan Mountains

2007 ◽  
Vol 2 (11) ◽  
pp. 1934578X0700201 ◽  
Author(s):  
Katsumi Kusano ◽  
Tsukasa Iwashina ◽  
Junichi Kitajima ◽  
Tamaki Mishio
Keyword(s):  
Methyl Ether ◽  
Spectroscopic Data ◽  
Mass Spectrometric ◽  
Tien Shan ◽  
Adjacent Area ◽  
Flavonoid Composition ◽  
Tien Shan Mountains ◽  
C Nmr

Nine Saussurea species, S. alberti, S. elegans, S. gnaphalodes, S. involucrata, S. konuroba, S. kuschakewiczii, S. leucophylla, S. schanginiana and S. sordida, and Serratula lyratifolia from the Tien Shan Mountains and adjacent area were chemically characterized for flavonoids. Thirty-one flavonoids and one hydroquinone were isolated from the leaves of these species and identified from mass spectrometric, UV, 1H and 13C NMR spectroscopic data, by characterization of hydrolyzates, and direct TLC and HPLC comparisons with authentic samples as kaempferol 3-O-rutinoside (1), quercetin 3-O-rutinoside (2), isorhamnetin 3-O-rutinoside (3), quercetin 3-O-glucoside (4), quercetin 3-O-galactoside (5), kaempferol 5-O-glucoside (6), kaempferol 7-O-glucoside (7), quercetin 5-O-glucoside (8), quercetin 7-O-glucoside (9), isorhamnetin 5-O-glucoside (10), luteolin (11), hispidulin (12), nepetin (13), selagin 7-methyl ether (14), selagin (15), velutin (16), luteolin 7-methyl ether (17), jaceosidin (18), apigenin 7-O-rutinoside (19), apigenin 7-O-glucoside (20), luteolin 7-O-rutinoside (21), luteolin 7-O-glucoside (22), luteolin 7-O-galactoside (23), luteolin 7-O-glucuronide (24), hispidulin 7-O-glucoside (25), nepetin 7-O-glucoside (26), luteolin 5-O-glucoside (27), isovitexin (28), apigenin 6,8-di-C-glycoside (29), isoorientin (30), luteolin 8-C-glycoside (31), and arbutin (32). The nine surveyed Saussurea species differed in their flavonoid composition. It was shown that the genus is not only morphologically, but also chemically diversified.

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