# Umbanhowar fire data from Khundt Nuur, western Mongolia - IMPD MNKDN001 #----------------------------------------------------------------------- # 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/20432 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/asia/mnkdn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Khundt Nuur, western Mongolia - IMPD MNKDN001 #--------------------------------------- # 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: Khundt Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 49.9208 # Southernmost_Latitude: 49.9208 # Easternmost_Longitude: 93.8493 # Westernmost_Longitude: 93.8493 # Elevation: 1933 #--------------------------------------- # Data_Collection # Collection_Name: MNKDN001-CHAR # First_Year: 947.1046344055 # Last_Year: -55 # Time_Unit: cal yr BP # Core_Length: # Notes: #--------------------------------------- # Species # Species_Name: # 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 # Khundt 682.000 1 Pb -55 # Khundt 683.000 1 Pb -54 # Khundt 684.000 1 Pb -53 # Khundt 685.000 1 Pb -52 # Khundt 686.000 1 Pb -51 # Khundt 687.000 1 Pb -50 # Khundt 688.000 1 Pb -49 # Khundt 689.000 1 Pb -47 # Khundt 690.000 1 Pb -45 # Khundt 693.000 1 Pb -40 # Khundt 695.000 1 Pb -36 # Khundt 700.000 1 Pb -26 # Khundt 705.000 1 Pb -13 # Khundt 708.000 1 Pb -2 # Khundt 710.000 1 Pb 9 # Khundt 712.000 1 Pb 21 # Khundt 713.000 1 Pb 28 # Khundt 715.000 1 Pb 41 # Khundt 717.000 1 Pb 49 # Khundt 720.000 1 Pb 62 # Khundt 730.000 1 Pb 115 # Khundt 846 2 Corrected radiocarbon date 910 1000 100 124439 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 680 681 -55.00 0 1.0 681 682 -54.90 0 1.0 682 683 -54.20 1 1.0 683 684 -53.30 1 1.0 684 685 -52.30 0 1.0 685 686 -51.30 0 1.0 686 687 -50.00 0 1.0 687 688 -48.50 0 1.0 688 689 -47.00 0 1.0 689 690 -45.30 0 1.0 690 691 -43.40 0 1.0 691 692 -41.63 0 1.0 692 693 -39.80 0 1.0 693 694 -38.00 0 1.0 694 695 -36.20 0 1.0 695 696 -34.16 0 1.0 696 697 -32.12 0 1.0 697 698 -30.08 0 1.0 698 699 -28.04 0 1.0 699 700 -26.00 0 1.0 700 701 -23.32 0 1.0 701 702 -20.64 0 1.0 702 703 -17.96 0 1.0 703 704 -15.28 0 1.0 704 705 -12.60 0 1.0 705 706 -8.54 0 1.0 706 707 -5.40 0 1.0 707 708 -1.80 0 1.0 708 709 3.40 0 1.0 709 710 8.60 0 1.0 710 711 14.90 0 1.0 711 712 21.20 0 1.0 712 713 28.30 0 1.0 713 714 34.45 1 1.0 714 715 40.60 1 1.0 715 716 45.00 1 1.0 716 717 49.40 1 1.0 717 718 53.65 0 1.0 718 719 58.00 3 1.0 719 720 62.30 0 1.0 720 721 61.00 0 1.0 721 722 62.64 2 1.0 722 723 69.45 0 1.0 723 724 76.25 0 1.0 724 725 83.05 0 1.0 725 726 89.86 0 1.0 726 727 96.66 0 1.0 727 728 103.46 1 1.0 728 729 110.27 2 1.0 729 730 117.07 3 1.0 730 731 123.88 1 1.0 731 732 130.68 1 1.0 732 733 137.48 2 1.0 733 734 144.29 3 1.0 734 735 151.09 3 1.0 735 736 157.89 11 1.0 736 737 164.70 12 1.0 737 738 171.50 11 1.0 738 739 178.30 7 1.0 739 740 185.11 6 1.0 740 741 191.91 2 1.0 741 742 198.71 4 1.0 742 743 205.52 0 1.0 743 744 212.32 7 1.0 744 745 219.12 9 1.0 745 746 225.93 9 1.0 746 747 232.73 4 1.0 747 748 239.54 3 1.0 748 749 246.34 6 1.0 749 750 253.14 1 1.0 750 751 259.95 0 1.0 751 752 266.75 4 1.0 752 753 273.55 4 1.0 753 754 280.36 1 1.0 754 755 287.16 3 1.0 755 756 293.96 3 1.0 756 757 300.77 2 1.0 757 758 307.57 0 1.0 758 759 314.37 0 1.0 759 760 321.18 4 1.0 760 761 327.98 4 1.0 761 762 334.79 0 1.0 762 763 341.59 0 1.0 763 764 348.39 0 1.0 764 765 355.20 6 1.0 765 766 362.00 0 1.0 766 767 368.80 0 1.0 767 768 375.61 0 1.0 768 769 382.41 0 1.0 769 770 389.21 0 1.0 770 771 396.02 0 1.0 771 772 402.82 0 1.0 772 773 409.62 0 1.0 773 774 416.43 0 1.0 774 775 423.23 0 1.0 775 776 430.03 1 1.0 776 777 436.84 0 1.0 777 778 443.64 4 1.0 778 779 450.45 3 1.0 779 780 457.25 0 1.0 780 781 464.05 4 1.0 781 782 470.86 0 1.0 782 783 477.66 0 1.0 783 784 484.46 0 1.0 784 785 491.27 1 1.0 785 786 498.07 25 1.0 786 787 504.87 10 1.0 787 788 511.68 11 1.0 788 789 518.48 9 1.0 789 790 525.28 22 1.0 790 791 532.09 6 1.0 791 792 538.89 5 1.0 792 793 545.70 3 1.0 793 794 552.50 10 1.0 794 795 559.30 2 1.0 795 796 566.11 8 1.0 796 797 572.91 1 1.0 797 798 579.71 3 1.0 798 799 586.52 5 1.0 799 800 593.32 12 1.0 800 801 600.12 1 1.0 801 802 606.93 6 1.0 802 803 613.73 7 1.0 803 804 620.53 5 1.0 804 805 627.34 1 1.0 805 806 634.14 11 1.0 806 807 640.94 12 1.0 807 808 647.75 3 1.0 808 809 654.55 0 1.0 809 810 661.36 6 1.0 810 811 668.16 0 1.0 811 812 674.96 1 1.0 812 813 681.77 1 1.0 813 814 688.57 3 1.0 814 815 695.37 0 1.0 815 816 702.18 4 1.0 816 817 708.98 1 1.0 817 818 715.78 0 1.0 818 819 722.59 0 1.0 819 820 729.39 0 1.0 820 821 736.19 0 1.0 821 822 743.00 0 1.0 822 823 749.80 0 1.0 823 824 756.61 5 1.0 824 825 763.41 4 1.0 825 826 770.21 1 1.0 826 827 777.02 5 1.0 827 828 783.82 8 1.0 828 829 790.62 0 1.0 829 830 797.43 4 1.0 830 831 804.23 3 1.0 831 832 811.03 2 1.0 832 833 817.84 1 1.0 833 834 824.64 0 1.0 834 835 831.44 0 1.0 835 836 838.25 2 1.0 836 837 845.05 3 1.0 837 838 851.85 3 1.0 838 839 858.66 9 1.0 839 840 865.46 2 1.0 840 841 872.27 1 1.0 841 842 879.07 2 1.0 842 843 885.87 2 1.0 843 844 892.68 1 1.0 844 845 899.48 1 1.0 845 846 906.28 8 1.0 846 847 913.09 4 1.0 847 848 919.89 2 1.0 848 849 926.69 2 1.0 849 850 933.50 7 1.0 850 851 940.30 2 1.0 851 852 947.10 1 1.0