Paleoclimate analysis for Northern New Mexico from tree rings

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Paleoclimate analysis for Northern New Mexico from tree rings Dendroclimatology Class Summer Tree Ring School, Laboratory of Tree Ring Research, University of Arizona, May, 18 June, 5 2009

Outline 1. Objectives 2. Site description 3. Methods, results, discussions: Group 1: Reconstruction of climate conditions using PCI of individual site chronologies Group 2: Reconstruction of PDSI using individual site chronologies Group 3: Reconstruction of climate conditions using regional chronology 4. Conclusions

General Objectives Extend existing tree ring chronologies for Northern New Mexico (Jemez Mts) Reconstruct climate conditions Analyze reconstructed climate conditions for extreme events, fire, atmospheric circulation patterns etc

Research area: New Mexico, USA

Research area: New Mexico, USA

Regional Annual Temperature and Precipitation Data Mean Monthly Temperature ( C) 25 20 15 10 5 0-5 Mean Annual T 7.85¼ C J F M A M J J A S O N D Monthly PPT (mm) 100 80 60 40 20 0 Mean Ann PPT J F M A M J J A S O N D

Group 1 Oct June PCA Precipitation Reconstruction for Northern New Mexico (NM2) Alana Belcon, Anna Coppola, Ellis Margolis, Liz Palchak

Standardization and Detrending PCG Data Variable PCG-15A PCG-15A_1 meanline Data Variable PCG-14A PCG-14A_1 meanline Data Variable PCG-13B PCG-13B_1 meanline Data Variable PCG-13A PCG-13A_1 meanline Data Variable PCG-11B PCG-11B_1 meanline Data Variable PCD-3A PCD-3A_1 meanline 1645 1682 1719 1756 1793 1830 1867 1904 1941 1978 * 8 Chronologies * Removed incorrect value * Detrending: cubic smoothing spline 50% of the variance over 75%

Residual chronologies Residual New Mexico Crns Variable Data UL A75R meanline Variable Data ME A R meanline Variable Data EAU1 R meanline Variable Data BCM1 R meanline Variable Data AMPN_R meanline Variable Data PCG2 R meanline Variable Data FEN1 R meanline Variable Data BCW1 R meanline 650 790 930 1070 1210 1350 1490 1630 1770 1910

Response Function Analysis October-June monthly PPT selected

Principal Component Analysis 6 Scree Plot of PC's derived from 8 chronologies 5 Eigenvalue 4 3 2 1 0 1 2 3 4 5 Component Number 6 7 8 PC1 accounts for the 75% of variance

Monthly Anomalies of 1941 from the 1896-2005 Means

New Mexico 1662-2005 Reconstruction Precipitation Values

Correlation 0.57 Reconstructed Precipitation and ENSO Index 10yr moving avg anomalies

Ten driest years (Oct - June precip, 1949-2005) yr Instrumental (in.) rank yr Reconstructed (in.) rank 2002 4.32 1 1996 3.97089 1 1956 4.56 2 2002 4.22859 2 1971 5.11 3 1950 5.51863 3 1950 5.27 4 1989 5.59015 4 1996 5.44 5 1971 5.79255 5 1967 5.57 6 1951 5.86992 6 1976 5.7 7 2000 6.22218 7 1964 5.8 8 1956 6.81372 8 1974 5.85 9 1967 6.82305 9 1953 5.9 10 1955 7.29175 10 Ten wettest years yr Instrumental rank yr Reconstructed rank 1979 14.89 1 1986 12.6282 1 1985 14.4 2 1985 12.2279 2 1958 14.23 3 1999 12.0615 3 1995 13.76 4 1997 11.948 4 2005 13.4 5 1965 11.8213 5 1999 13.15 6 1995 11.7989 6 1987 12.88 7 1975 11.7697 7 1973 11.97 8 1979 11.638 8 1949 11.78 9 1970 11.3427 9 1997 11.78 10 1978 11.2244 10

Composite 500mb geopotential height anomalies 10 driest yrs Tree ring reconstructed Oct Dec Jan Mar

Composite 500mb geopotential height anomalies 10 wettest yrs Tree ring reconstructed Oct Dec Apr Jun Jan Mar

Group 2 May July PDSI Reconstruction for Northern New Mexico (NM2) Gunnar Carnwath, Nancy Li, Stephanie McAfee & Lucy Mullin

What is PDSI? Dimensionless index of drought severity Function of temperature and precipitation in current and preceding months

Methods Chronology Development: ARSTAN Identify Climate Signal: RFA Develop Transfer Function: Multiple Linear Regression Reconstruct PDSI Model Assessment

Mean series length Mean sensitivity Chronology Statistics: Upper Los Alamos Mesa Alta Echo Amphitheater 1659-2005 644-2007 1295-2007 234.4 270.0 307.4 0.48 0.52 0.43 Rbar 0.58 0.69 0.66 Variance due 11.8% 14.1% 13.6% to AR EPS >0.85 1683 (3) 824 (3) 1367 (3)

Chronology Development: Standardize: 75% of series length spline EAU Residual Chronology EA U RWI Sample Depth 10 per. Mov. Avg. (EAU RWI) Ring Width Index 2.5 2 1.5 1 0.5 0 1250 1350 1450 1550 1650 1750 1850 1950 2050 14 12 10 8 6 4 2 0 Sample Depth (trees) Year MEA Residual Chronology MEA RWI Sample Depth 10 per. Mov. Avg. (MEA RWI) Ring Width Index 3.5 3 2.5 2 1.5 1 0.5 0 620 820 1020 1220 1420 1620 1820 2020 Year 40 30 20 10 0 Sample Depth (Trees)

Response Function Analysis (RFA)

RFA: Correlation Analysis

Develop Transfer Function: Calibration & Verification R 2 adj R 2 pred Correlation w/ Observed Correlation w/ Verification RE MEA, EAU, and ULA 1895-1951 0.52 0.47 0.74 0.70 0.48 1952-2005 0.48 0.41 0.71 0.73 0.48 MJJ PDSI = -5.33 + 1.68EAU + 0.86MEA + 3.36ULA Transfer Function R 2 adj R 2 pred Correlation w/ Observed 1895-2005 0.50 0.47 0.72

Results: NM2 May July PDSI PR PDSI OB PDSI 11 yr sd Sample depth 11 per. Mov. Avg. (PR PDSI) 11 per. Mov. Avg. (OB PDSI) PDSI 10 8 6 4 2 0-2 -4-6 -8 1680 1730 1780 1830 1880 1930 1980 Year r = 0.72 80 70 60 50 40 30 20 Sample Depth

Evaluating the Chronology PDSI Reconstruction Predicted PDSI 6 5 4 3 2 1 0-1 -2-3 -4-5 R 2 = 0.5131-8.00-6.00-4.00-2.00 0.00 2.00 4.00 6.00 8.00 10.00 Observed PDSI OBSERVED PDSI PREDICTED PDSI Mean 0.55 0.55 Standard Error 0.28 0.20 Standard Deviation 2.93 2.10 Kurtosis -0.58-0.69 Skewness 0.12-0.28 Minimum -5.93-4.13 Maximum 7.63 4.58 Confidence Level(95.0%) 0.55 0.39

Comparing the 10 driest years -2 Boxplot of Reconstructed, Instrumental -3 Data -4 PDSI -5-6 Reconstructed Instrumental

Differences in 10 driest years: May to July surface temperature Only in instrumental record Present in both Only in reconstruction 2003,1981, 1951,1963 2002, 2000,1956, 1964, 1974 1996,1950, 1971, 1989,1976

Group 3 Objective: Reconstruction of climate conditions using regional chronology Ekaterina Kuznetsova Giancarlo Marino Piotr Owczarek

The Northern New Mexico tree-ring chronology 3 2.5 2 1.5 1 0.5 0 644 676 708 740 772 804 836 868 900 932 964 996 1028 1060 1092 1124 1156 1188 1220 1252 1284 1316 1348 1380 1412 1444 1476 1508 1540 1572 1604 1636 1668 1700 1732 1764 1796 1828 1860 1892 1924 1956 1988 Index Year spline - 67% 10 per. Mov. Avg. (spline - 67%) Number of trees: 47 Number of radii: 82 PIST Pinus strobiformis PSME Pseudotsuga menziensii

Graphic of response function

Calibration and verification of the model (a) October - June PPT (inch) 17.5 15.0 12.5 10.0 7.5 5.0 Calibration (1896 1951) Adj R² = 0.62 Veryfication (1952 2007) r = 0.79 RE = 0.57 October - June PPT (inch) 17.5 15.0 12.5 10.0 7.5 5.0 1896 Veryfication 1914(1896 1951) 1932 r = 0.79 RE = 0.57 1950 Year Calibration 1968(1952 2007) 1986 Adj R² = 0.60 2004 1896 1914 1932 1950 Year 1968 1986 2004

Calibration and verification of the model (b) Time series plot of actual and reconstructed October-June precipitation October - June PPT (inch) 17.5 15.0 12.5 10.0 7.5 5.0 Calibration (1896 2007) Adj R² = 0.6 Cross-Validation = 0.59 Actual Estimated 1896 1914 1932 1950 Year 1968 1986 2004

14 Scatterplot of PRED vs OBS 12 11.78 10 PRED 8 6 6.25 4 5.7 13.15 5.0 7.5 10.0 OBS 12.5 15.0 17.5

18 Time-series plot of reconstruction October June precipitation, AD 1380-2007 16 14 11.56 in Threshold 12 10 8 6 4 2 0 18 16 14 12 10 8 6 4 2 0 1700 1708 1716 1724 1732 1740 1748 1756 1764 1772 1780 1788 1796 1804 1812 1820 1828 1836 1844 1852 1860 1868 1876 1884 1892 1900 1908 1916 1924 1932 1940 1948 1956 1964 1972 1980 1988 1996 2004 PPT (inch) 1380 1388 1396 1404 1412 1420 1428 1436 1444 1452 1460 1468 1476 1484 1492 1500 1508 1516 1524 1532 1540 1548 1556 1564 1572 1580 1588 1596 1604 1612 1620 1628 1636 1644 1652 1660 1668 1676 1684 1692 PPT (inch) year 6.94 in Threshold SS of.75 attained 1021 to 2007 (I) with sample of 4 trees SS of.80 attained 1313 to 2007 (I) with sample of 5 trees SS of.85 attained 1380 to 2007 (C) with sample of 6 trees SS of.90 attained 1462 to 2007 (C) with sample of 10 trees year Estimated Actual

www.daylife.com/photo/04s3h2v35c76p TW Swetnam, CD Allen and JL Betancourt, 1999, Applied historical ecology: using the past to manage for the future. Ecological Applications 9(4): 1189-1206.

18 16 14 12 10 8 6 4 2 0 1380 1388 1396 1404 1412 1420 1428 1436 1444 1452 1460 1468 1476 1484 1492 1500 1508 1516 1524 1532 1540 1548 1556 1564 1572 1580 1588 1596 1604 1612 1620 1628 1636 1644 1652 1660 1668 1676 1684 1692 year PPT (inch) 18 16 14 12 10 8 6 4 2 0 1700 1708 1716 1724 1732 1740 1748 1756 1764 1772 1780 1788 1796 1804 1812 1820 1828 1836 1844 1852 1860 1868 1876 1884 1892 1900 1908 1916 1924 1932 1940 1948 1956 1964 1972 1980 1988 1996 2004 year Estimated Actual PPT (inch) SS of.75 attained 1021 to 2007 (I) with sample of 4 trees SS of.80 attained 1313 to 2007 (I) with sample of 5 trees SS of.85 attained 1380 to 2007 (C) with sample of 6 trees SS of.90 attained 1462 to 2007 (C) with sample of 10 trees 11.56 in Threshold 1685 1648 6.94 in Threshold 1715 1748 1752 1765 1773 1806 1819 1822 1847 1851 1861 1879 1893????????????

Conclusions Analyzed chronologies are responding to climate Primarily moisture sensitive for winter precipitation Tree rings reflecting patterns and processes at multiple scales: Regional Disturbance Regimes Sea surface and atmospheric circulation patterns Dendro is FUN!

Acknowledgements! Thanks to: Malcolm Hughes Ramzi Touchan Rex Adams Chris Baisan Ron Towner Tom Swetnam Lori Wilson All LTRR faculty and staff and all guest lecturers