Davos Dischma Marteloskop PCAB, Switzerland - SWIT410 Additional Site Information K.Simmler P.Bebi C.Bigler Reference: Simmler K. 2017. Dendrochronological study of the structure and dynamics in a subalpine spruce-larch stand in Davos (Switzerland). Bachelor thesis. ETH Zürich. Cores are stored at: ETH Tree-Ring Laboratory Forest Ecology Institute of Terrestrial Ecosystems ETH Zurich CHN G 61 CH-8092 Zurich Switzerland COFECHA output: Chronology file name : SWIT410.CRN Measurement file name : SWIT410.RWL Date checked : 12MAR21 Checked by : B. Bauer Beginning year : 1707 Ending year : 2016 Principal investigators: K.Simmler P.Bebi C.Bigler Site name : Davos Dischma Marteloskop Site location : Switzerland Species information : PCAB NORWAY SPRUCE Latitude : 4646 Longitude : 00953 Elevation : 1830M Series intercorrelation: 0.629 Avg mean sensitivity : 0.177 Avg standard deviation : 0.526 Avg autocorrelation : 0.856 Number dated series : 67 Segment length tested : 50 Number problem segments: 20 Pct problem segments : 4.41 PART 5: CORRELATION OF SERIES BY SEGMENTS: Davos Dischma Marteloskop 17:37 Fri 12 Mar 2021 Page 5 ----------------------------------------------------------------------------------------------------------------------------------- Correlations of 50-year dated segments, lagged 25 years Flags: A = correlation under .3281 but highest as dated; B = correlation higher at other than dated position Seq Series Time_span 1725 1750 1775 1800 1825 1850 1875 1900 1925 1950 1975 1774 1799 1824 1849 1874 1899 1924 1949 1974 1999 2024 --- -------- --------- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- 1 131 1762 2016 .51 .58 .80 .75 .66 .67 .72 .61 .55 .66 2 132 1771 2016 .61 .68 .73 .77 .87 .84 .86 .86 .82 .85 3 14 1766 2016 .52 .57 .74 .76 .69 .75 .78 .74 .59 .59 4 15 1916 2016 .66 .78 .44 .45 5 167 1707 2016 .53 .22B .42 .63 .76 .76 .69 .77 .72 .56 .50 6 169 1752 2016 .45 .72 .68 .58 .58 .68 .86 .79 .62 .73 7 227 1731 2016 .57 .50 .63 .74 .62 .61 .71 .86 .79 .65 .69 8 228 1731 2016 .42 .32B .54 .79 .82 .76 .69 .61 .54 .67 .63 9 24 1958 2016 .37 .35 10 242 1773 2016 .58 .59 .65 .69 .64 .67 .75 .68 .63 .68 11 243 1743 2016 .51 .67 .72 .71 .62 .63 .60 .39 .42 .69 .69 12 25 1948 2016 .32A .26A .31A 13 26 1954 2016 .24B .18B 14 260 1853 2016 .39 .43 .53 .55 .56 .70 15 261 1859 2016 .23B .37 .57 .51 .35B .57 16 262 1785 2016 .54 .63 .72 .55 .57 .78 .73 .43 .58 17 27 1952 2016 .24B .35 18 276 1797 2016 .76 .75 .69 .66 .70 .79 .68 .56 .70 19 279 1939 2016 .67 .67 .61 20 28 1776 2016 .37 .55 .82 .83 .71 .69 .67 .70 .75 21 280 1879 2016 .22B .59 .71 .56 .74 22 281 1938 2016 .49 .49 .56 23 282 1912 2016 .73 .73 .66 .70 24 283 1925 2016 .71 .56 .64 25 284 1908 2016 .55 .62 .63 .65 26 31 1953 2016 .50 .55 27 366 1783 2016 .48 .57 .58 .63 .65 .75 .77 .48 .51 28 38 1883 2016 .36 .60 .65 .71 .83 29 39 1938 2016 .71 .59 .66 30 40 1944 2016 .55 .45 .48 31 41 1902 2016 .60 .66 .58 .67 32 42 1768 2016 .65 .75 .76 .72 .71 .75 .86 .83 .67 .64 33 433 1811 2016 .55 .49 .50 .53 .50 .46 .29A .26B 34 437 1787 2016 .62 .65 .70 .56 .67 .76 .77 .69 .70 35 443 1802 2016 .63 .63 .67 .73 .82 .85 .66 .73 36 444 1782 2016 .31A .55 .57 .40 .53 .77 .69 .48 .55 37 446 1826 2002 .39 .39 .51 .74 .74 .38 .43 38 447 1851 2016 .36 .65 .83 .78 .65 .80 39 448 1816 2016 .76 .69 .62 .68 .78 .82 .78 .78 40 45 1952 2013 .44 .46 41 46 1955 2016 .33 .24A 42 49 1943 2016 .19B .25B .28A 43 50 1946 2016 .28A .41 .51 44 52 1778 2016 .50 .65 .71 .65 .56 .75 .83 .77 .81 45 53 1803 2016 .68 .63 .64 .77 .80 .81 .65 .73 46 55 1759 2016 .53 .67 .66 .65 .77 .75 .80 .79 .72 .75 47 56 1760 2016 .59 .76 .77 .75 .82 .88 .88 .83 .67 .75 48 57 1778 2016 .43 .52 .50 .50 .79 .84 .82 .76 .75 49 58 1815 2016 .55 .69 .64 .72 .82 .80 .68 .62 50 60 1959 2016 .42 .45 51 63 1952 2016 .43 .55 52 68 1906 2016 .47 .55 .49 .61 53 69 1943 2016 .44 .53 .58 54 70 1877 2016 .29A .76 .73 .55 .68 55 71 1841 2016 .56 .67 .58 .57 .60 .66 .67 56 75 1830 2016 .63 .67 .70 .78 .71 .55 .61 57 76 1831 2016 .62 .70 .60 .67 .68 .65 .65 58 77 1768 2016 .60 .65 .84 .76 .68 .74 .81 .82 .73 .70 59 80 1781 2016 .66 .75 .73 .68 .73 .86 .86 .68 .52 60 81 1762 2016 .65 .79 .83 .81 .77 .71 .70 .70 .75 .74 61 82 1763 2016 .61 .72 .70 .51 .62 .83 .77 .71 .72 .72 62 83 1779 2016 .69 .79 .82 .81 .78 .82 .73 .53 .60 63 84 1779 2016 .63 .73 .71 .73 .75 .60 .49 .55 .65 64 85 1764 2016 .72 .78 .90 .75 .68 .79 .69 .63 .69 .74 65 86 1778 2016 .49 .50 .61 .60 .62 .58 .57 .57 .51 66 90 1780 2016 .57 .69 .66 .61 .49 .78 .86 .51 .57 67 91 1799 2016 .75 .75 .74 .48 .60 .87 .84 .63 .69 Av segment correlation .51 .55 .61 .69 .67 .63 .65 .72 .68 .56 .61 PART 7: DESCRIPTIVE STATISTICS: Davos Dischma Marteloskop 17:37 Fri 12 Mar 2021 Page 9 ----------------------------------------------------------------------------------------------------------------------------------- Corr //-------- Unfiltered --------\\ //---- Filtered -----\\ No. No. No. with Mean Max Std Auto Mean Max Std Auto AR Seq Series Interval Years Segmt Flags Master msmt msmt dev corr sens value dev corr () --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- 1 131 1762 2016 255 10 0 .654 1.04 2.87 .557 .891 .206 2.54 .331 -.041 1 2 132 1771 2016 246 10 0 .779 1.25 2.53 .421 .752 .190 2.40 .296 -.030 1 3 14 1766 2016 251 10 0 .674 1.39 3.60 .661 .871 .182 2.59 .382 -.071 1 4 15 1916 2016 101 4 0 .581 .41 .93 .173 .753 .240 2.51 .304 -.048 2 5 167 1707 2016 310 11 1 .594 .87 2.51 .518 .913 .222 2.59 .417 .013 1 6 169 1752 2016 265 10 0 .676 1.16 4.48 .745 .812 .218 2.59 .315 -.026 1 7 227 1731 2016 286 11 0 .668 .70 1.48 .308 .860 .202 2.52 .377 -.029 3 8 228 1731 2016 286 11 1 .600 1.22 2.71 .353 .795 .138 2.59 .341 -.040 1 9 24 1958 2016 59 2 0 .362 .83 2.24 .468 .761 .325 2.53 .426 .070 1 10 242 1773 2016 244 10 0 .658 .83 2.49 .449 .901 .180 2.59 .378 .021 1 11 243 1743 2016 274 11 0 .577 1.20 3.83 .579 .892 .168 2.68 .389 .008 1 12 25 1948 2016 69 3 3 .346 .47 1.86 .378 .879 .284 2.49 .506 -.041 3 13 26 1954 2016 63 2 2 .219 1.01 1.81 .339 .708 .216 2.57 .538 .018 1 14 260 1853 2016 164 6 0 .498 1.32 2.21 .292 .796 .110 2.47 .342 .010 1 15 261 1859 2016 158 6 2 .447 1.52 3.21 .582 .824 .182 2.58 .434 .056 1 16 262 1785 2016 232 9 0 .632 .80 2.61 .402 .925 .153 2.64 .425 -.020 2 17 27 1952 2016 65 2 1 .326 .68 1.05 .163 .543 .188 2.59 .500 .081 1 18 276 1797 2016 220 9 0 .692 1.80 4.85 .758 .868 .159 2.60 .367 -.016 1 19 279 1939 2016 78 3 0 .624 1.52 2.02 .211 .474 .110 2.59 .482 -.044 1 20 28 1776 2016 241 9 0 .649 1.09 3.11 .616 .932 .159 2.56 .356 .007 1 21 280 1879 2016 138 5 1 .563 .53 1.95 .326 .877 .217 2.72 .452 -.019 1 22 281 1938 2016 79 3 0 .540 1.00 2.78 .667 .934 .207 2.54 .426 -.025 1 23 282 1912 2016 105 4 0 .707 2.76 4.36 .543 .540 .150 2.54 .349 .003 1 24 283 1925 2016 92 3 0 .647 1.18 2.04 .256 .623 .147 2.61 .519 -.001 2 25 284 1908 2016 109 4 0 .586 .98 2.05 .427 .829 .220 2.68 .471 -.041 2 26 31 1953 2016 64 2 0 .509 1.93 2.82 .372 .573 .133 2.70 .524 -.071 1 27 366 1783 2016 234 9 0 .570 .63 2.53 .540 .943 .210 2.46 .269 -.043 1 28 38 1883 2016 134 5 0 .622 1.47 4.77 1.017 .935 .186 2.71 .482 .054 1 29 39 1938 2016 79 3 0 .710 1.37 2.96 .481 .666 .191 2.60 .418 -.013 1 30 40 1944 2016 73 3 0 .566 1.39 2.21 .409 .812 .133 2.67 .569 .094 2 31 41 1902 2016 115 4 0 .610 2.01 3.50 .550 .853 .127 2.45 .398 -.021 1 32 42 1768 2016 249 10 0 .727 1.01 3.56 .795 .948 .223 2.64 .395 -.023 1 33 433 1811 2016 206 8 2 .426 .62 2.53 .416 .906 .228 2.68 .380 -.021 1 34 437 1787 2016 230 9 0 .681 1.30 2.86 .400 .696 .188 2.61 .348 -.019 1 35 443 1802 2016 215 8 0 .718 1.25 2.18 .317 .786 .127 2.53 .324 -.017 1 36 444 1782 2016 235 9 1 .534 .83 2.19 .462 .931 .183 2.46 .287 -.031 1 37 446 1826 2002 177 7 0 .555 1.06 2.71 .605 .923 .152 2.36 .232 -.017 1 38 447 1851 2016 166 6 0 .682 2.07 4.75 .931 .835 .197 2.52 .422 .005 1 39 448 1816 2016 201 8 0 .732 1.47 2.81 .504 .836 .148 2.62 .410 -.060 1 40 45 1952 2013 62 2 0 .434 .43 .76 .132 .554 .220 2.69 .528 .080 1 41 46 1955 2016 62 2 1 .263 1.32 2.20 .489 .792 .185 2.62 .518 .058 1 42 49 1943 2016 74 3 3 .243 1.10 2.73 .746 .884 .226 2.46 .430 -.055 1 43 50 1946 2016 71 3 1 .379 1.44 2.77 .571 .836 .184 2.65 .570 -.089 1 44 52 1778 2016 239 9 0 .691 1.82 4.59 .699 .838 .169 2.47 .316 -.031 1 45 53 1803 2016 214 8 0 .703 .64 1.61 .331 .850 .227 2.59 .378 .016 3 46 55 1759 2016 258 10 0 .701 1.00 2.42 .575 .908 .180 2.73 .489 .021 1 47 56 1760 2016 257 10 0 .765 1.16 3.58 .734 .936 .158 2.50 .304 -.026 1 48 57 1778 2016 239 9 0 .645 .94 2.69 .482 .900 .151 2.44 .357 -.035 1 PART 7: DESCRIPTIVE STATISTICS: Davos Dischma Marteloskop 17:37 Fri 12 Mar 2021 Page 10 ----------------------------------------------------------------------------------------------------------------------------------- Corr //-------- Unfiltered --------\\ //---- Filtered -----\\ No. No. No. with Mean Max Std Auto Mean Max Std Auto AR Seq Series Interval Years Segmt Flags Master msmt msmt dev corr sens value dev corr () --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- 49 58 1815 2016 202 8 0 .661 1.00 2.17 .339 .847 .143 2.67 .420 .001 1 50 60 1959 2016 58 2 0 .344 1.18 2.18 .656 .898 .246 2.67 .578 .063 1 51 63 1952 2016 65 2 0 .493 1.84 3.22 .562 .737 .159 2.64 .554 -.017 1 52 68 1906 2016 111 4 0 .521 2.00 3.88 .654 .813 .163 2.76 .435 .029 1 53 69 1943 2016 74 3 0 .455 1.42 2.18 .246 .275 .149 2.59 .490 -.062 1 54 70 1877 2016 140 5 1 .597 1.62 3.57 .754 .928 .132 2.46 .334 -.008 2 55 71 1841 2016 176 7 0 .580 1.58 3.07 .603 .901 .138 2.49 .388 -.020 2 56 75 1830 2016 187 7 0 .663 1.02 2.07 .376 .832 .166 2.70 .456 -.001 1 57 76 1831 2016 186 7 0 .628 1.41 2.98 .433 .717 .172 2.53 .301 .021 1 58 77 1768 2016 249 10 0 .734 .74 3.09 .679 .976 .157 2.54 .344 -.038 1 59 80 1781 2016 236 9 0 .713 .73 2.48 .454 .935 .170 2.56 .319 -.030 1 60 81 1762 2016 255 10 0 .727 1.00 3.66 .802 .952 .195 2.57 .357 -.017 1 61 82 1763 2016 254 10 0 .678 1.12 3.41 .709 .935 .161 2.51 .328 -.039 1 62 83 1779 2016 238 9 0 .736 .97 3.11 .579 .936 .163 2.59 .353 -.037 1 63 84 1779 2016 238 9 0 .631 .88 2.09 .348 .879 .151 2.64 .472 -.018 1 64 85 1764 2016 253 10 0 .728 1.00 2.66 .576 .873 .206 2.65 .420 .014 1 65 86 1778 2016 239 9 0 .549 .64 1.86 .277 .838 .182 2.57 .331 -.026 1 66 90 1780 2016 237 9 0 .650 .75 2.70 .623 .958 .154 2.46 .280 -.001 2 67 91 1799 2016 218 9 0 .720 1.14 2.76 .545 .910 .140 2.53 .288 -.040 1 --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- Total or mean: 11860 454 20 .629 1.12 4.85 .526 .856 .177 2.76 .378 -.014