Southwest Ecological Memory Project Site P4, Arizona - AZ616
Additional Site Information
Drew Peltier, Larissa Yocom, Phiyen Nguyen, Michael Bangs, Michelle Wilson
Reference:
Drew M.P. Peltier, Jessica Guo, Phiyen Nguyen, Michael Bangs, Michelle Wilson, Kimberly Samuels-Crow,
Larissa L. Yocom, Yao Liu, Michael K. Fell, John D. Shaw, David Auty, Christopher Schwalm,
William R.L. Anderegg, George W. Koch, Marcy E. Litvak, Kiona Ogle. 2022.
Temperature memory and non-structural carbohydrates mediate legacies of a hot drought
in trees across the southwestern USA. Tree Physiology, Vol. 42, Issue 1, January 2022, pp. 71-85.
https://doi.org/10.1093/treephys/tpab091
Notes:
These tree ring data were collected to assess the climate memory of tree growth
around the southwestern US in "ecologically sampled" trees. Trees were from a range
of size classes and vigors, but were all dominant or co-dominant.
Funding:
US National Science Foundation Advances in Biological Informatics 1458867;
US National Science Foundation Division of Environmental Biology 1643245
COFECHA output:
Chronology file name : AZ616.CRN
Measurement file name : AZ616.RWL
Date checked : 01FEB22
Checked by : B. Bauer
Beginning year : 1881
Ending year : 2016
Principal investigators: D.Peltier L.Yocom P.Nguyen M.Bangs M.Wilson
Site name : Southwest Ecological Memory Project Site P4
Site location : Arizona
Species information : PIED PINYON
Latitude : 3436
Longitude : -11048
Elevation : 2001M
Series intercorrelation: 0.770
Avg mean sensitivity : 0.454
Avg standard deviation : 0.499
Avg autocorrelation : 0.605
Number dated series : 30
Segment length tested : 50
Number problem segments: 0
Pct problem segments : 0.00
PART 5: CORRELATION OF SERIES BY SEGMENTS: SEMP AZP04 12:48 Tue 01 Feb 2022 Page 5
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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 AZP0401B 1931 2016 .79 .76 .75
2 AZP0401C 1940 2016 .78 .70 .83
3 AZP0402B 1890 2016 .83 .85 .81 .85 .86
4 AZP0402C 1890 2016 .81 .84 .79 .84 .84
5 AZP0403B 1896 2016 .66 .76 .91 .82 .77
6 AZP0403C 1908 2016 .77 .91 .81 .79
7 AZP0404B 1945 2016 .62 .62 .71
8 AZP0404C 1941 2016 .72 .71 .85
9 AZP0405A 1942 2016 .79 .82 .85
10 AZP0405B 1942 2016 .77 .80 .86
11 AZP0406A 1961 2016 .74 .79
12 AZP0406B 1967 2016 .75
13 AZP0407A 1897 2000 .76 .77 .88 .91 .91
14 AZP0407B 1910 2000 .73 .81 .86 .85
15 AZP0408B 1956 2016 .55 .60
16 AZP0408A 1963 2016 .54 .60
17 AZP0409A 1929 2000 .75 .84 .85
18 AZP0409B 1931 2000 .77 .84 .85
19 AZP0410B 1890 1988 .68 .73 .89 .86
20 AZP0410A 1890 1988 .74 .82 .93 .88
21 AZP0411B 1911 1987 .82 .88 .83
22 AZP0411A 1909 1987 .77 .83 .78
23 AZP0412A 1915 2000 .74 .83 .77 .77
24 AZP0412B 1912 2000 .74 .84 .86 .86
25 AZP0413B 1892 1980 .72 .82 .90 .90
26 AZP0413A 1890 1980 .66 .74 .90 .91
27 AZP0414A 1903 2000 .64 .67 .62 .61
28 AZP0414B 1881 2016 .59 .63 .65 .66 .80
29 AZP0415B 1890 2016 .69 .78 .84 .76 .78
30 AZP0415A 1890 2016 .65 .71 .82 .70 .64
Av segment correlation .71 .76 .81 .78 .78
PART 7: DESCRIPTIVE STATISTICS: SEMP AZP04 12:48 Tue 01 Feb 2022 Page 8
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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 AZP0401B 1931 2016 86 3 0 .765 1.12 4.56 .864 .756 .433 2.53 .402 -.018 1
2 AZP0401C 1940 2016 77 3 0 .800 .91 3.52 .737 .768 .482 2.67 .461 -.035 2
3 AZP0402B 1890 2016 127 5 0 .824 .67 1.69 .396 .549 .519 2.70 .525 -.069 2
4 AZP0402C 1890 2016 127 5 0 .838 .74 2.03 .447 .634 .530 2.69 .465 -.063 1
5 AZP0403B 1896 2016 121 5 0 .801 1.16 2.62 .616 .637 .517 2.58 .482 -.046 1
6 AZP0403C 1908 2016 109 4 0 .794 1.21 2.60 .603 .624 .496 2.64 .480 -.026 1
7 AZP0404B 1945 2016 72 3 0 .727 1.14 2.49 .568 .657 .411 2.48 .384 -.023 1
8 AZP0404C 1941 2016 76 3 0 .782 1.11 2.15 .493 .628 .393 2.58 .440 -.045 1
9 AZP0405A 1942 2016 75 3 0 .859 .71 2.97 .548 .650 .613 2.53 .490 -.074 1
10 AZP0405B 1942 2016 75 3 0 .864 .79 2.83 .621 .584 .711 2.62 .517 -.059 1
11 AZP0406A 1961 2016 56 2 0 .742 1.11 3.31 .856 .815 .406 2.64 .515 -.033 1
12 AZP0406B 1967 2016 50 1 0 .754 1.28 4.10 .903 .721 .438 2.85 .496 -.036 1
13 AZP0407A 1897 2000 104 5 0 .827 .71 1.91 .355 .506 .442 2.45 .434 -.024 1
14 AZP0407B 1910 2000 91 4 0 .788 .79 1.97 .344 .458 .420 2.47 .467 -.063 3
15 AZP0408B 1956 2016 61 2 0 .585 1.37 2.80 .709 .652 .407 2.51 .495 -.038 1
16 AZP0408A 1963 2016 54 2 0 .539 1.30 2.30 .555 .481 .376 2.53 .495 -.003 1
17 AZP0409A 1929 2000 72 3 0 .759 1.16 2.67 .460 .379 .387 2.60 .404 -.004 1
18 AZP0409B 1931 2000 70 3 0 .768 1.22 3.55 .578 .484 .433 2.64 .403 .018 2
19 AZP0410B 1890 1988 99 4 0 .775 .69 2.10 .391 .536 .506 2.72 .617 .000 1
20 AZP0410A 1890 1988 99 4 0 .817 .69 2.03 .393 .597 .505 2.67 .563 -.075 1
21 AZP0411B 1911 1987 77 3 0 .796 .90 2.28 .460 .667 .385 2.51 .415 .027 1
22 AZP0411A 1909 1987 79 3 0 .724 .89 2.21 .450 .688 .345 2.55 .450 .040 1
23 AZP0412A 1915 2000 86 4 0 .762 .94 1.98 .396 .572 .408 2.58 .444 .036 1
24 AZP0412B 1912 2000 89 4 0 .850 1.01 1.92 .413 .518 .414 2.48 .415 -.001 1
25 AZP0413B 1892 1980 89 4 0 .820 1.15 2.27 .484 .670 .307 2.60 .421 -.046 1
26 AZP0413A 1890 1980 91 4 0 .792 .88 2.75 .465 .544 .378 2.66 .547 -.044 1
27 AZP0414A 1903 2000 98 4 0 .653 1.16 2.31 .493 .545 .376 2.65 .560 .062 2
28 AZP0414B 1881 2016 136 5 0 .619 .91 2.40 .528 .737 .438 2.59 .407 -.049 1
29 AZP0415B 1890 2016 127 5 0 .786 .53 1.26 .276 .509 .517 2.54 .474 -.027 1
30 AZP0415A 1890 2016 127 5 0 .734 .48 1.25 .269 .659 .453 2.58 .420 -.032 1
--- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- --
Total or mean: 2700 108 0 .770 .92 4.56 .499 .605 .454 2.85 .470 -.027