# Umbanhowar fire data from Baga Nuur, western Mongolia - IMPD MNBGN001 #----------------------------------------------------------------------- # 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/20410 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/asia/mnbgn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Baga Nuur, western Mongolia - IMPD MNBGN001 #--------------------------------------- # 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: Baga Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 49.9208 # Southernmost_Latitude: 49.9208 # Easternmost_Longitude: 93.8493 # Westernmost_Longitude: 93.8493 # Elevation: 981 #--------------------------------------- # Data_Collection # Collection_Name: MNBGN001-CHAR # First_Year: 633.04 # Last_Year: -58.76 # 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 # Baga 711 1 Pb -55.4 # Baga 712 1 Pb -55.3 # Baga 713 1 Pb -54.9 # Baga 714 1 Pb -54.4 # Baga 715 1 Pb -53.7 # Baga 716 1 Pb -52.9 # Baga 717 1 Pb -52.4 # Baga 719 1 Pb -51.1 # Baga 720 1 Pb -50.2 # Baga 722 1 Pb -48.5 # Baga 723 1 Pb -47.7 # Baga 726 1 Pb -44.8 # Baga 728 1 Pb -42.5 # Baga 729 1 Pb -41.2 # Baga 733 1 Pb -35.1 # Baga 736 1 Pb -29.1 # Baga 740 1 Pb -20.5 # Baga 743 1 Pb -14.2 # Baga 745 1 Pb -9.6 # Baga 748 1 Pb -2.1 # Baga 750 1 Pb 3 # Baga 755 1 Pb 18.5 # Baga 758 1 Pb 28.4 # Baga 760 1 Pb 34.8 # Baga 765 1 Pb 54 # Baga 770 1 Pb 82.2 # Baga 861.5 3 Corrected radiocarbon date 610 640 180 126411 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 710 711 -58.76 1 1.0 711 712 -58.10 0 1.0 712 713 -57.38 0 1.0 713 714 -56.61 0 1.0 714 715 -55.80 1 1.0 715 716 -54.93 0 1.0 716 717 -54.01 0 1.0 717 718 -53.05 1 1.0 718 719 -52.03 2 1.0 719 720 -50.96 0 1.0 720 721 -49.84 2 1.0 721 722 -48.68 1 1.0 722 723 -47.46 3 1.0 723 724 -46.19 0 1.0 724 725 -44.87 2 1.0 725 726 -43.50 1 1.0 726 727 -42.08 0 1.0 727 728 -40.61 1 1.0 728 729 -39.09 1 1.0 729 730 -37.52 1 1.0 730 731 -35.89 0 1.0 731 732 -34.22 1 1.0 732 733 -32.50 2 1.0 733 734 -30.73 0 1.0 734 735 -28.91 0 1.0 735 736 -27.03 0 1.0 736 737 -25.11 2 1.0 737 738 -23.14 0 1.0 738 739 -21.11 0 1.0 739 740 -19.04 1 1.0 740 741 -16.91 0 1.0 741 742 -14.74 1 1.0 742 743 -12.51 0 1.0 743 744 -10.24 0 1.0 744 745 -7.91 1 1.0 745 746 -5.54 0 1.0 746 747 -3.11 0 1.0 747 748 -0.63 0 1.0 748 749 1.89 0 1.0 749 750 4.47 0 1.0 750 751 7.10 1 1.0 751 752 9.78 0 1.0 752 753 12.50 0 1.0 753 754 15.28 1 1.0 754 755 18.11 2 1.0 755 756 20.99 0 1.0 756 757 23.92 1 1.0 757 758 26.90 2 1.0 758 759 29.93 2 1.0 759 760 33.01 4 1.0 760 761 36.14 1 1.0 761 762 39.32 0 1.0 762 763 42.55 2 1.0 763 764 45.83 1 1.0 764 765 49.17 2 1.0 765 766 52.55 1 1.0 766 767 55.98 2 1.0 767 768 59.46 0 1.0 768 769 63.00 0 1.0 769 770 66.58 2 1.0 770 771 70.21 0 1.0 771 772 91.17 2 1.0 772 773 96.93 0 1.0 773 774 102.70 0 1.0 774 775 108.46 3 1.0 775 776 114.23 0 1.0 776 777 119.99 1 1.0 777 778 125.75 3 1.0 778 779 131.52 4 1.0 779 780 137.28 1 1.0 780 781 143.05 4 1.0 781 782 148.81 4 1.0 782 783 154.58 4 1.0 783 784 160.34 9 1.0 784 785 166.11 5 1.0 785 786 171.87 2 1.0 786 787 177.64 2 1.0 787 788 183.40 3 1.0 788 789 189.17 1 1.0 789 790 194.93 4 1.0 790 791 200.69 5 1.0 791 792 206.46 4 1.0 792 793 212.22 1 1.0 793 794 217.99 1 1.0 794 795 223.75 4 1.0 795 796 229.52 0 1.0 796 797 235.28 1 1.0 797 798 241.05 1 1.0 798 799 246.81 0 1.0 799 800 252.58 2 1.0 800 801 258.34 1 1.0 801 802 264.11 2 1.0 802 803 269.87 0 1.0 803 804 275.63 1 1.0 804 805 281.40 3 1.0 805 806 287.16 5 1.0 806 807 292.93 1 1.0 807 808 298.69 1 1.0 808 809 304.46 1 1.0 809 810 310.22 0 1.0 810 811 315.99 1 1.0 811 812 321.75 0 1.0 812 813 327.52 1 1.0 813 814 333.28 1 1.0 814 815 339.05 2 1.0 815 816 344.81 0 1.0 816 817 350.58 2 1.0 817 818 356.34 2 1.0 818 819 362.10 2 1.0 819 820 367.87 0 1.0 820 821 373.63 2 1.0 821 822 379.40 0 1.0 822 823 385.16 0 1.0 823 824 390.93 2 1.0 824 825 396.69 5 1.0 825 826 402.46 4 1.0 826 827 408.22 3 1.0 827 828 413.99 5 1.0 828 829 419.75 2 1.0 829 830 425.52 3 1.0 830 831 431.28 5 1.0 831 832 437.04 2 1.0 832 833 442.81 2 1.0 833 834 448.57 4 1.0 834 835 454.34 2 1.0 835 836 460.10 2 1.0 836 837 465.87 4 1.0 837 838 471.63 2 1.0 838 839 477.40 6 1.0 839 840 483.16 1 1.0 840 841 488.93 1 1.0 841 842 494.69 4 1.0 842 843 500.46 3 1.0 843 844 506.22 2 1.0 844 845 511.98 8 1.0 845 846 517.75 6 1.0 846 847 523.51 8 1.0 847 848 529.28 8 1.0 848 849 535.04 8 1.0 849 850 540.81 4 1.0 850 851 546.57 9 1.0 851 852 552.34 2 1.0 852 853 558.10 4 1.0 853 854 563.87 4 1.0 854 855 569.63 5 1.0 855 856 575.40 8 1.0 856 857 581.16 4 1.0 857 858 586.92 5 1.0 858 859 592.69 5 1.0 859 860 598.45 6 1.0 860 861 604.22 5 1.0 861 862 609.98 4 1.0 862 863 615.75 4 1.0 863 864 621.51 4 1.0 864 865 627.28 2 1.0 865 866 633.04 0 1.0