# Umbanhowar fire data from Tsagaan Nuur, western Mongolia - IMPD MNTGN001 #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: http://www.ncdc.noaa.gov/paleo/study/20428 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/asia/mntgn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Tsagaan Nuur, western Mongolia - IMPD MNTGN001 #--------------------------------------- # Investigators # Investigators: Umbanhowar, Charles #--------------------------------------- # Description and Notes # Description: # Provided Keywords: fire, paleoclimate, climate, charcoal #--------------------------------------- # Publication # Authors: Umbanhowar, C.E., Shinneman, A.L.C., Tserenkhand, G., Hammon, E.R., Lor, P., and Nail, K. # Published_Date_or_Year: 2009 # Published_Title: Regional fire history based on charcoal analysis of sediments from nine lakes in western Mongolia. # Journal_Name: The Holocene # Volume: 19 # Edition: # Issue: # Pages: 611-624 # Report Number: # DOI: # Online_Resource: # Full_Citation: # Abstract: Fires are common in grassland regions of the world, and the frequency and severity of fire is linked to climate-driven changes in fuel loads. Western Mongolia is dominated by grasslands but the fire history of this region is largely unknown. We reconstructed modern fire (48 lakes) and historical fires (9 lakes) using sediment charcoal. Modern fuel loads were estimated using a combination of clipped plots, satellite-based estimates of annual aboveground net primary productivity (NPP) and NPP modeled from annual temperature and precipitation. Loss-on-ignition and environmental magnetics of lake sediments were analyzed as proxies for climate. We found little evidence for modern or historical fire in the landscape, as charcoal was absent from the surface sediments of 34 of 48 lakes. Charcoal influxes were uniformly low, averaging from 0.002 to 0.028 mm2/cm2 per yr, over the past 1200 years at nine lakes, and the past 6000-5000 years at two of the lakes with longer sediment records. In the modern landscape, livestock grazing has eliminated most of the fuels necessary to carry a fire, as measured fuel loads (27.3+-4.9 g/m2) were only ~20% of aboveground annual NPP estimated using MODIS Imagery or modeled from climate data. The historical absence of fire may indicate a longer history of intensive grazing than sometimes assumed, and cultural prohibitions against burning may also play a role. Regional summary indicated a >50% decrease in charcoal influxes since AD 1600 at most sites which may be related to lower temperatures or greater aridity during the 'Little Ice Age'. Alternatively this decrease in charcoal influxes may reflect increases in livestock numbers or increased local concentrations because of restrictions on the movement of animals coincident with the establishment of Manchu rule in the late seventeenth century. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #--------------------------------------- # Site Information # Site_Name: Tsagaan Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 48.9118 # Southernmost_Latitude: 48.9118 # Easternmost_Longitude: 94.867 # Westernmost_Longitude: 94.867 # Elevation: 1382 #--------------------------------------- # Data_Collection # Collection_Name: MNTGN001-CHAR # First_Year: 2334.422100405 # Last_Year: -55.3 # Time_Unit: cal yr BP # Core_Length: # Notes: #--------------------------------------- # Species # Species_Name: Any additional species should be entered in Columns C,D, etc. # Common_Name: # Tree_Species_Code: #--------------------------------------- # Chronology_Information # Chronology: # # Short name What Units Data type # ID_DATE_INFO NaN NaN # ID_SITE Site ID NaN C # CORE_NAME Name of core NaN C # AVG_DEPTH (cm) Average depth of aged sample cm N # THICKNESS Thickness of sample cm N # ID_DATE_TYPE NaN NaN C # AGE_CALIB Calibrated age NaN N # AGE_C14 Carbon-14 Age NaN N # ERROR positive/negative error NaN N # LAB_NUM Lab number NaN N # ID_MAT_DATED NaN NaN NaN # ID_COMMENTS NaN NaN C # AGE_BASIS Used for age model? NaN C # # ID_DATE_INFO ID_SITE CORE_NAME AVG_DEPTH (m) THICKNESS ID_DATE_TYPE AGE_CALIB AGE_C14 ERROR LAB_NUM ID_MAT_DATED ID_COMMENTS AGE_BASIS # Tsagaan 660.000 1 Pb -55 # Tsagaan 661.000 1 Pb -55.3 # Tsagaan 663.000 1 Pb -52.9 # Tsagaan 664.000 1 Pb -50.3 # Tsagaan 665.000 1 Pb -47.9 # Tsagaan 666.000 1 Pb -44.9 # Tsagaan 667.000 1 Pb -41.6 # Tsagaan 668.000 1 Pb -36.5 # Tsagaan 669.000 1 Pb -34 # Tsagaan 671.000 1 Pb -28.9 # Tsagaan 673.000 1 Pb -24.1 # Tsagaan 675.000 1 Pb -18.1 # Tsagaan 677.000 1 Pb -10.9 # Tsagaan 679.000 1 Pb -2.3 # Tsagaan 681.000 1 Pb 7.1 # Tsagaan 683.000 1 Pb 16.6 # Tsagaan 685.000 1 Pb 26.3 # Tsagaan 687.000 1 Pb 35.4 # Tsagaan 690.000 1 Pb 52.2 # Tsagaan 776 4 Corrected radiocarbon date 1730 1800 35 132981 charcoal YES # Tsagaan 164.6 0.02 Corrected radiocarbon date 1850 1910 120 129273 charcoal YES #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## depth-cm-top Depth top,,,cm ,,,,,N ## depth-cm-bottom Depth bottom,,,cm ,,,,,N ## age-calBP Age,,,calendar years BP,,,,,N ## char>180um Charcoal ,wet sediment,,count,,fire history,> 180 um,,N ## vol-wetsed Volume,wet sediment,,cm3,,fire history,used for charcoal counts,,N #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: depth-cm-top depth-cm-bottom age-calBP char>180um vol-wetsed 660 661 -55.30 1 1.0 661 662 -54.10 0 1.0 662 663 -52.90 0 1.0 663 664 -50.30 1 1.0 664 665 -47.90 0 1.0 665 666 -44.90 0 1.0 666 667 -41.60 0 1.0 667 668 -36.50 0 1.0 668 669 -34.00 0 1.0 669 670 -31.45 0 1.0 670 671 -28.90 0 1.0 671 672 -26.50 0 1.0 672 673 -24.10 0 1.0 673 674 -21.10 0 1.0 674 675 -18.10 0 1.0 675 676 -14.50 0 1.0 676 677 -10.90 0 1.0 677 678 -6.60 0 1.0 678 679 -2.30 0 1.0 679 680 2.40 0 1.0 680 681 7.10 0 1.0 681 682 11.85 0 1.0 682 683 16.60 0 1.0 683 684 21.45 0 1.0 684 685 26.30 0 1.0 685 686 30.85 0 1.0 686 687 35.40 0 1.0 687 688 41.53 0 1.0 688 689 46.60 0 1.0 689 690 52.20 0 1.0 690 691 77.94 0 1.0 691 692 93.61 0 1.0 692 693 109.28 1 1.0 693 694 124.95 0 1.0 694 695 140.62 0 1.0 695 696 156.29 0 1.0 696 697 171.96 3 1.0 697 698 187.63 2 1.0 698 699 203.30 0 1.0 699 700 218.97 1 1.0 700 701 234.64 0 1.0 701 702 250.31 0 1.0 702 703 265.98 0 1.0 703 704 281.65 0 1.0 704 705 297.32 0 1.0 705 706 312.99 2 1.0 706 707 328.66 0 1.0 707 708 344.33 1 1.0 708 709 360.00 1 1.0 709 710 375.67 9 1.0 710 711 391.34 4 1.0 711 712 407.01 1 1.0 712 713 422.68 2 1.0 713 714 438.35 6 1.0 714 715 454.02 5 1.0 715 716 469.69 1 1.0 716 717 485.36 3 1.0 717 718 501.03 1 1.0 718 719 516.70 0 1.0 719 720 532.37 3 1.0 720 721 548.04 0 1.0 721 722 563.71 4 1.0 722 723 579.38 5 1.0 723 724 595.05 0 1.0 724 725 610.72 0 1.0 725 726 626.39 2 1.0 726 727 642.06 0 1.0 727 728 657.73 6 1.0 728 729 673.40 2 1.0 729 730 689.07 1 1.0 730 731 704.74 6 1.0 731 732 720.41 2 1.0 732 733 736.08 6 1.0 733 734 751.75 0 1.0 734 735 767.42 0 1.0 735 736 783.09 0 1.0 736 737 798.76 0 1.0 737 738 814.43 0 1.0 738 739 830.10 2 1.0 739 740 845.77 0 1.0 740 741 861.44 1 1.0 741 742 877.11 0 1.0 742 743 892.78 2 1.0 743 744 908.45 2 1.0 744 745 924.12 0 1.0 745 746 939.79 0 1.0 746 747 955.46 0 1.0 747 748 971.13 0 1.0 748 749 986.80 1 1.0 749 750 1002.47 0 1.0 750 751 1018.14 0 1.0 751 752 1033.81 0 1.0 752 753 1049.48 1 1.0 753 754 1065.15 0 1.0 754 755 1080.82 0 1.0 755 756 1096.49 1 1.0 756 757 1112.16 2 1.0 757 758 1127.83 0 1.0 758 759 1143.50 0 1.0 759 760 1159.17 2 1.0 760 761 1174.84 1 1.0 761 762 1190.51 0 1.0 762 763 1206.18 2 1.0 763 764 1221.85 1 1.0 764 765 1237.52 3 1.0 765 766 1253.19 0 1.0 766 767 1268.86 1 1.0 767 768 1284.53 1 1.0 768 769 1300.20 0 1.0 769 770 1315.87 0 1.0 770 771 1331.54 0 1.0 771 772 1347.21 1 1.0 772 773 1362.88 1 1.0 773 774 1378.55 1 1.0 774 775 1394.22 11 1.0 775 776 1409.89 5 1.0 776 777 1425.56 1 1.0 777 778 1441.23 4 1.0 778 779 1456.90 1 1.0 779 780 1472.57 2 1.0 780 781 1488.24 1 1.0 781 782 1503.91 0 1.0 782 783 1519.58 7 1.0 783 784 1535.25 1 1.0 784 785 1550.92 0 1.0 785 786 1566.59 0 1.0 786 787 1582.26 2 1.0 787 788 1597.93 6 1.0 788 789 1613.60 2 1.0 789 790 1629.27 0 1.0 790 791 1644.94 1 1.0 791 792 1660.61 0 1.0 792 793 1676.28 2 1.0 793 794 1691.95 6 1.0 794 795 1707.62 0 1.0 795 796 1723.29 3 1.0 796 797 1738.96 2 1.0 797 798 1754.63 2 1.0 798 799 1770.30 6 1.0 799 800 1785.97 9 1.0 800 801 1801.64 1 1.0 801 802 1817.31 1 1.0 802 803 1832.98 3 1.0 803 804 1848.65 4 1.0 804 805 1864.32 2 1.0 805 806 1879.99 13 1.0 806 807 1895.66 5 1.0 807 808 1911.33 2 1.0 808 809 1927.00 6 1.0 809 810 1942.67 7 1.0 810 811 1958.34 9 1.0 811 812 1974.01 0 1.0 812 813 1989.68 2 1.0 813 814 2005.35 6 1.0 814 815 2021.02 1 1.0 815 816 2036.69 0 1.0 816 817 2052.36 2 1.0 817 818 2068.03 24 1.0 818 819 2083.70 36 1.0 819 820 2099.37 8 1.0 820 821 2115.04 0 1.0 821 822 2130.71 0 1.0 822 823 2146.38 0 1.0 823 824 2162.05 0 1.0 824 825 2177.72 1 1.0 825 826 2193.39 1 1.0 826 827 2209.06 0 1.0 827 828 2224.73 12 1.0 828 829 2240.40 6 1.0 829 830 2256.07 1 1.0 830 831 2271.74 11 1.0 831 832 2287.41 0 1.0 832 833 2303.08 4 1.0 833 834 2318.75 10 1.0 834 835 2334.42 1 1.0