Eschenbach-Eggwald, Switzerland - SWIT370 Additional Site Information Urs Gut Reference: Urs Gut. 2018. Evaluating the key assumptions underlying dendro-provenancing: How to spruce it up with a scissor plot. Dendrochronologia, Vol. 52, Dec. 2018, pp. 131-145. DOI: 10.1016/j.dendro.2018.09.008 Funding: Swiss National Science Foundation P0ZHP1_162299 COFECHA output: Chronology file name : SWIT370.CRN Measurement file name : SWIT370.RWL Date checked : 18DEC19 Checked by : B. Bauer Beginning year : 1875 Ending year : 2016 Principal investigators: Urs Gut Site name : Eschenbach-Eggwald Site location : Switzerland Species information : PCAB NORWAY SPRUCE Latitude : 4715 Longitude : 00856 Elevation : 618M Series intercorrelation: 0.550 Avg mean sensitivity : 0.210 Avg standard deviation : 0.988 Avg autocorrelation : 0.694 Number dated series : 26 Segment length tested : 50 Number problem segments: 17 Pct problem segments : 16.35 PART 5: CORRELATION OF SERIES BY SEGMENTS: Eschebbach-Eggwald 09:30 Wed 18 Dec 2019 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 1875 1900 1925 1950 1975 1924 1949 1974 1999 2024 --- -------- --------- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- 1 382 1970 2016 .71 2 383 1915 2016 .15B .14B .19B .54 3 384 1946 2016 .31A .31A .63 4 385 1881 2016 .19B .39 .64 .71 .77 5 386 1892 2016 .48 .53 .57 .52 .54 6 387 1900 2016 .50 .69 .74 .75 7 388 1901 2016 .34 .56 .66 .83 8 390 1903 2016 .51 .52 .64 .76 9 392 1886 2016 .24B .43 .65 .65 .57 10 393 1911 2016 .50 .45 .36 .29B 11 394 1915 2016 .49 .59 .57 .66 12 396 1890 2016 .37B .56 .60 .44 .58 13 399 1889 2016 .55 .60 .73 .68 .67 14 400 1911 2016 .56 .46 .45 .70 15 401 1910 2016 .54 .39B .42 .60 16 402 1875 2016 .27B .44 .59 .60 .72 17 403 1896 2016 .54 .52 .56 .67 .65 18 404 1888 2016 .29A .45 .71 .59 .55 19 405 1897 2016 .47 .47 .59 .54 .54 20 406 1934 2016 .15B .44 .58 21 407 1926 2016 .67 .64 .78 22 408 1928 2016 .23B .21B .61 23 409 1920 2016 .17B .17B .36 .52 24 410 1944 2016 .45 .48 .65 25 411 1938 2016 .35 .43 .65 26 412 1924 2016 .47 .49 .43 .71 Av segment correlation .38 .45 .49 .52 .63 PART 7: DESCRIPTIVE STATISTICS: Eschebbach-Eggwald 09:30 Wed 18 Dec 2019 Page 8 ----------------------------------------------------------------------------------------------------------------------------------- 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 () --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- 1 382 1970 2016 47 1 0 .713 4.03 6.02 1.174 .607 .223 2.42 .461 -.061 1 2 383 1915 2016 102 4 3 .378 2.90 5.76 1.186 .863 .171 2.62 .490 -.050 2 3 384 1946 2016 71 3 2 .500 3.41 7.50 1.469 .749 .234 2.79 .605 -.067 1 4 385 1881 2016 136 5 1 .502 2.07 5.15 1.067 .822 .218 2.66 .371 -.068 1 5 386 1892 2016 125 5 0 .569 1.93 6.57 .744 .648 .214 2.71 .373 -.076 1 6 387 1900 2016 117 4 0 .649 3.04 5.04 .733 .506 .194 2.72 .540 -.082 1 7 388 1901 2016 116 4 0 .621 3.01 5.51 1.034 .734 .205 2.55 .465 -.041 1 8 390 1903 2016 114 4 0 .652 1.64 5.00 .938 .765 .314 2.69 .461 -.099 1 9 392 1886 2016 131 5 1 .488 2.30 6.38 .770 .634 .186 2.68 .520 .037 1 10 393 1911 2016 106 4 1 .385 2.72 5.16 .864 .571 .213 2.88 .514 .026 1 11 394 1915 2016 102 4 0 .576 2.24 4.06 .657 .618 .179 2.73 .489 .050 1 12 396 1890 2016 127 5 1 .511 2.44 4.62 .604 .512 .194 2.70 .427 -.036 1 13 399 1889 2016 128 5 0 .659 2.47 4.70 .909 .700 .237 2.48 .377 -.033 1 14 400 1911 2016 106 4 0 .643 3.35 8.21 1.816 .839 .180 2.61 .419 -.010 1 15 401 1910 2016 107 4 1 .557 2.11 4.59 .684 .603 .214 2.55 .462 -.073 1 16 402 1875 2016 142 5 1 .577 2.01 4.68 .560 .710 .164 2.55 .357 -.056 1 17 403 1896 2016 121 5 0 .586 1.87 3.90 .494 .483 .207 2.60 .442 .011 1 18 404 1888 2016 129 5 1 .467 2.07 4.54 .925 .711 .246 2.66 .474 .042 1 19 405 1897 2016 120 5 0 .523 2.61 7.98 1.637 .821 .293 2.46 .363 -.012 2 20 406 1934 2016 83 3 1 .422 3.36 6.12 .780 .417 .192 2.48 .391 -.064 1 21 407 1926 2016 91 3 0 .747 2.34 5.96 1.229 .916 .181 2.62 .472 .012 1 22 408 1928 2016 89 3 2 .503 3.12 9.07 1.429 .792 .201 2.61 .372 -.078 1 23 409 1920 2016 97 4 2 .400 3.04 7.09 1.359 .905 .171 2.50 .377 -.049 1 24 410 1944 2016 73 3 0 .561 4.17 6.28 1.000 .516 .205 2.59 .528 -.002 1 25 411 1938 2016 79 3 0 .589 2.50 4.34 .717 .700 .194 2.65 .589 -.050 1 26 412 1924 2016 93 4 0 .590 3.43 6.36 1.599 .889 .206 2.57 .492 .001 3 --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- Total or mean: 2752 104 17 .550 2.60 9.07 .988 .694 .210 2.88 .449 -.031