Donaldson Woods ACSH, Indiana - IN029 Additional Site Information J.T. Maxwell T.F Au G.L. Harley T.J. Matheus K. Van Aken Reference: Tsun Fung Au, Justin T. Maxwell, Kimberly A. Novick, Scott M. Robeson, Scott M. Warner, Benjamin R. Lockwood, Richard P. Phillips, Grant L. Harley, Frank W. Telewski, Matthew D. Therrell, Neil Pederson. 2020. Demographic shifts in eastern US forests increase the impact of late-season drought on forest growth. Ecography, vol. 43, issue 10, pp. 1475-1486. doi: 10.1111/ecog.05055 Notes: Sugar Maple and White Oak comparisons 1901-2016 (analyses period). Keywords: Eastern Deciduous Forest, Climate response, Standardized Evapotranspiration Index, Vapor Pressure Deficit Funding: USDA Agriculture and Food Research Initiative 2017-67013-26191 COFECHA output: Chronology file name : IN029.CRN Measurement file name : IN029.RWL Date checked : 13OCT21 Checked by : B. Bauer Beginning year : 1885 Ending year : 2016 Principal investigators: J.T. Maxwell T.F Au G.L. Harley T.J. Matheus K. Van Aken Site name : Donaldson Woods Site location : Indiana Species information : ACSH SUGAR MAPLE Latitude : 3844 Longitude : -08625 Elevation : 200M Series intercorrelation: 0.579 Avg mean sensitivity : 0.379 Avg standard deviation : 0.851 Avg autocorrelation : 0.526 Number dated series : 22 Segment length tested : 50 Number problem segments: 2 Pct problem segments : 2.35 PART 5: CORRELATION OF SERIES BY SEGMENTS: Donaldson Woods ACSH 11:07 Wed 13 Oct 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 1875 1900 1925 1950 1975 1924 1949 1974 1999 2024 --- -------- --------- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- 1 DWS01A 1885 2015 .51 .55 .51 .56 .54 2 DWS01B 1892 2016 .59 .66 .55 .58 .55 3 DWS02A 1900 2016 .51 .38 .49 .55 4 DWS02B 1905 2016 .57 .43 .45 .45 5 DWS03A 1906 2015 .82 .75 .63 .57 6 DWS03B 1937 2015 .56 .57 .57 7 DWS04A 1928 2015 .74 .71 .69 8 DWS04B 1916 2016 .67 .73 .72 .67 9 DWS05A 1887 2015 .59 .78 .70 .68 .75 10 DWS05B 1902 2015 .76 .79 .70 .68 11 DWS06A 1901 2016 .65 .60 .40 .37 12 DWS06B 1903 2016 .83 .76 .66 .71 13 DWS07B 1919 2009 .42 .35 .33 .32A 14 DWS08B 1910 2014 .50 .61 .54 .42 15 DWS09A 1963 2014 .37 .37 16 DWS09B 1969 2015 .35 17 DWS10A 1912 2016 .62 .70 .58 .40 18 DWS10B 1918 2015 .78 .83 .62 .55 19 DWS11A 1890 2016 .61 .75 .78 .62 .49 20 DWS11B 1932 2011 .76 .63 .54 21 DWS12A 1897 2016 .72 .70 .72 .40 .33A 22 DWS12B 1902 2014 .63 .71 .53 .47 Av segment correlation .60 .66 .65 .55 .52 PART 7: DESCRIPTIVE STATISTICS: Donaldson Woods ACSH 11:07 Wed 13 Oct 2021 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 DWS01A 1885 2015 131 5 0 .512 1.85 6.49 1.045 .680 .382 2.69 .477 -.002 1 2 DWS01B 1892 2016 125 5 0 .576 2.12 6.70 1.052 .455 .356 2.75 .513 .015 1 3 DWS02A 1900 2016 117 4 0 .476 1.79 4.91 1.024 .746 .310 2.60 .466 .043 1 4 DWS02B 1905 2016 112 4 0 .461 1.96 6.05 1.141 .637 .372 2.58 .402 -.034 1 5 DWS03A 1906 2015 110 4 0 .690 2.12 5.63 1.002 .546 .383 2.68 .455 -.031 1 6 DWS03B 1937 2015 79 3 0 .594 2.55 5.31 .873 .312 .329 2.59 .511 -.077 2 7 DWS04A 1928 2015 88 3 0 .717 1.77 5.03 .960 .675 .371 2.85 .536 -.060 1 8 DWS04B 1916 2016 101 4 0 .668 1.67 4.12 .833 .587 .360 2.57 .534 -.056 2 9 DWS05A 1887 2015 129 5 0 .665 1.45 3.43 .688 .564 .374 2.77 .452 -.028 1 10 DWS05B 1902 2015 114 4 0 .707 1.58 4.00 .775 .557 .356 2.79 .507 -.025 2 11 DWS06A 1901 2016 116 4 0 .538 1.57 4.18 .801 .468 .369 2.76 .481 .047 2 12 DWS06B 1903 2016 114 4 0 .699 1.94 4.20 1.050 .731 .338 2.50 .418 -.027 1 13 DWS07B 1919 2009 91 4 1 .369 1.69 4.66 1.049 .761 .357 2.66 .359 -.065 1 14 DWS08B 1910 2014 105 4 0 .474 1.47 4.13 .729 .481 .340 2.76 .499 -.004 1 15 DWS09A 1963 2014 52 2 0 .365 2.53 5.50 1.057 .318 .387 2.58 .530 .016 1 16 DWS09B 1969 2015 47 1 0 .351 1.69 4.38 .965 .569 .399 2.72 .610 -.050 1 17 DWS10A 1912 2016 105 4 0 .502 1.46 3.21 .655 .453 .380 2.69 .514 -.035 1 18 DWS10B 1918 2015 98 4 0 .694 1.31 3.03 .575 .374 .421 2.54 .482 -.052 1 19 DWS11A 1890 2016 127 5 0 .630 1.20 3.18 .683 .642 .363 2.70 .520 .004 1 20 DWS11B 1932 2011 80 3 0 .744 1.78 4.44 .873 .471 .437 2.72 .591 -.042 1 21 DWS12A 1897 2016 120 5 1 .543 1.07 3.42 .610 .310 .478 3.05 .630 -.030 1 22 DWS12B 1902 2014 113 4 0 .561 .93 2.50 .475 .095 .489 2.80 .485 .079 1 --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- Total or mean: 2274 85 2 .579 1.67 6.70 .851 .526 .379 3.05 .494 -.016