caa a22 4500 445799684 CHVBK 20180317145137.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s00704-010-0291-x doi (NATIONALLICENCE)springer-10.1007/s00704-010-0291-x Combined tree-ring width and δ13C to reconstruct snowpack depth: a pilot study in the Gongga Mountain, west China [Elektronische Daten] [Xiaohong Liu, Liangju Zhao, Tuo Chen, Xuemei Shao, Qiao Liu, Shugui Hou, Dahe Qin, Wenling An] Tree-ring width (TRW) and stable carbon isotope (δ13C) in tree-ring cellulose of subalpine fir (Abies fabri) were used to develop high-resolution climate proxy data to indicate snow-depth variations in the Gongga Mountain, west China. Tree radial growth- and δ13C-climate response analyses demonstrated that the TRW and δ13C at the timberline (3,400m.a.s.l.) are mainly influenced by temperature and precipitation of previous growth seasons and current summer (June to August) under cold and humid conditions. Considering the analogous control factors on both tree growth and carbon isotope discrimination (Δ13C) and snow accumulation, the negative and significant relationships between tree-ring parameters (TRW and Δ13C) and mean monthly snowpack depth were found. Herein, by combining two tree-ring parameters, a primary snow-depth reconstruction (previous October to current May) over the reliable period A.D. 1880-2004 was estimated. The reconstruction explains 58.0% of the variance in the instrumental record, and in particular captures the longer-term fluctuations successfully. Except the period with extreme higher snowpack depth around 1990, the snowpack depth seems to fluctuate in a normal way. The reconstruction agrees with the nearby snowpack depth record in Kangding and the mean observed snowpack-depth variations of the stations on the Tibetan Plateau, particularly at long-term scales. The snowpack depth in low-frequency fluctuations, during the past century, agrees quite well with the Eastern India precipitation covering the period of previous October-current May. Our results suggest that combing tree-ring width and δ13C in certain subalpine tree species growing on the Tibetan Plateau may be an effective way for reconstructing regional snowpack variations. Springer-Verlag, 2010 Liu Xiaohong State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut Zhao Liangju Key Laboratory of Ecohydrology and Integrated River Basin Science, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut Chen Tuo State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut Shao Xuemei Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China aut Liu Qiao Chengdu Institute of Mountain Hazards and Environment, Chinese Academy Sciences, 610041, Chengdu, People's Republic of China aut Hou Shugui State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut Qin Dahe State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut An Wenling State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut Theoretical and Applied Climatology Springer Vienna 103/1-2(2011-01-01), 133-144 0177-798X 103:1-2<133 2011 103 704 https://doi.org/10.1007/s00704-010-0291-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-010-0291-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Xiaohong State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 700 1- Zhao Liangju Key Laboratory of Ecohydrology and Integrated River Basin Science, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China aut NATIONALLICENCE 700 1- Chen Tuo State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 700 1- Shao Xuemei Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Liu Qiao Chengdu Institute of Mountain Hazards and Environment, Chinese Academy Sciences, 610041, Chengdu, People's Republic of China aut NATIONALLICENCE 700 1- Hou Shugui State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 700 1- Qin Dahe State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 700 1- An Wenling State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Donggang West Road No 320, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 103/1-2(2011-01-01), 133-144 0177-798X 103:1-2<133 2011 103 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer