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Supplementary InformationGrowth response of Abies georgei to climate increases with elevation in the central Hengduan Mountains, southwestern ChinaShort title: Elevational trend in growth-climate responsesShankar Panthi a, b, Achim Br?uning c, Zhe-Kun Zhou a, Ze-Xin Fan a, *a Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, Chinab University of Chinese Academy of Sciences, Beijing 100049, Chinac Institute of Geography, University of Erlangen-Nürnberg, Erlangen, GermanyCorresponding author: Ze-Xin FanKey Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, ChinaTel.: +86-691-8713227; Fax: +86-691-8715070Email: fanzexin@.cnSupplementary TablesTable S1 Linear trends of monthly climate variables (regression coefficients) of the two climate stations Deqin and Shangri-la. Prec, Precipitation; RH, mean relative humidity; SSD, total sunshine duration (hours). Bold figures indicate values significant at p < 0.05.Deqin (1954-2015)Shangri-la (1958-2015)PrecRHTmeanTmaxTminSSDPrecRHTmeanTmaxTminSSDJan-0.165-0.0500.4870.5070.20-0.1830.283-0.2820.7070.2700.710.008Feb-0.056-0.2590.4930.4660.320.235-0.006-0.4730.6640.4010.660.288Mar0.1970.0870.5280.3470.49-0.0880.119-0.2180.7800.1300.78-0.167Apr0.0660.0170.4300.2660.44-0.131-0.024-0.2570.825-0.0310.83-0.019May-0.060-0.2920.5740.510.440.1030.264-0.2800.6460.1210.650.109Jun-0.176-0.4830.7180.6830.670.254-0.154-0.5000.7280.3690.730.144Jul-0.081-0.3650.6560.5390.660.011-0.005-0.6180.6900.1840.69-0.241Aug-0.150-0.2310.6760.5670.70-0.133-0.113-0.7500.6390.2000.64-0.206Sep0.115-0.2130.5350.420.660.0280.132-0.7560.7130.2010.71-0.002Oct-0.089-0.0090.3360.420.240.084-0.075-0.5530.4330.1470.430.045Nov-0.0010.0940.4000.5130.24-0.259-0.028-0.4940.6340.3180.630.029Dec-0.1720.1340.3120.532-0.05-0.477-0.103-0.5090.7330.1730.73-0.088Table S2 Summary of principal component analysis (PCA) results of five ring-width residual chronologies in the central Hengduan Mountains for the common period 1850-2013. PC1PC2PC3PC4PC5Components:Eigenvalue0.0270.0060.0030.0020.001Explained variance (%)67.514.68.26.03.7Cumulative explained variance (%)67.582.190.396.3100.0Factor loadings:B2_44000.641-0.2790.124-0.0200.212B2_42000.715-0.2340.019-0.125-0.207B2_39000.5150.020-0.3980.1120.033S2_42000.5050.1760.1880.296-0.057S2_39000.5390.4590.030-0.1940.044Supplementary FiguresFig. S1. Principal component analysis (PCA) showing loadings of five ring-width residual chronologies in the central Hengduan Mountains for the common period 1850-2015. Fig. S2. Ring-width index (RWI) residual chronologies along elevation gradients for the subsamples BSM (a, b, c), and SSM (c, d) with equal sample depth during 1901 to 2015 in the central HM. Ring-width index (black line), 20-year low-pass filter (red line), sample depth (grey shading), and EPS curve (blue line).Fig. S3. Correlation coefficients between BSM residual chronologies and first-differences of monthly climate data of Deqin from previous August to current October: left panel (1954-1984), middle panel (1985-2015), and right panel (1954-2015). Temperature (line-circles) and precipitation (black bars), relative humidity (grey bars) and SPEI (light grey bars). Horizontal dashed black and grey lines indicate the 95% and 99% confidence levels, respectively. Fig. S4. Correlation coefficients between SSM residual chronologies and first-differences of monthly climate data of Shangri-la from previous August to current October: left panel (1958-1984), middle panel (1985-2015), and right panel (1958-2015). Temperature (line-circles) and precipitation (black bars), relative humidity (grey bars) and SPEI (light grey bars). Horizontal dashed black and grey lines indicate the 95% and 99% confidence levels, respectively. ................
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