# Umbanhowar fire data from Airag Nuur, western Mongolia - IMPD MNAGN001 #----------------------------------------------------------------------- # 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/20387 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/asia/mnagn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Airag Nuur, western Mongolia - IMPD MNAGN001 #--------------------------------------- # Investigators # Investigators: Umbanhowar, C.E., Shinneman, A.L.C., Tserenkhand, G., Hammon, E.R., Lor, P., and Nail, K. #--------------------------------------- # 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: Airag Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 48.9087 # Southernmost_Latitude: 48.9087 # Easternmost_Longitude: 93.3076 # Westernmost_Longitude: 93.3076 # Elevation: 1030 #--------------------------------------- # Data_Collection # Collection_Name: MNAGN001-CHAR # First_Year: 1413 # Last_Year: -54 # Time_Unit: AD # Core_Length: # Notes: #--------------------------------------- # Species # Species_Name: # Common_Name: # Tree_Species_Code: #--------------------------------------- # Chronology_Information # Chronology: #ID_DATE_INFO #ID_SITE Site ID #CORE_NAME Name of core #AVG_DEPTH (cm) centimeters #THICKNESS centimeters #ID_DATE_TYPE #AGE_CALIB years #AGE_C14 years #ERROR positive/negative error #LAB_NUM Lab number #ID_MAT_DATED #ID_COMMENTS #AGE_BASIS Used for age model? # #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 # Airag 910.000 1 Pb -54 # Airag 911.000 1 Pb -53 # Airag 913.000 1 Pb -50 # Airag 915.000 1 Pb -45 # Airag 919.000 1 Pb -31 # Airag 920.000 1 Pb -29 # Airag 921.000 1 Pb -26 # Airag 923.000 1 Pb -20 # Airag 927.000 1 Pb -6 # Airag 931.000 1 Pb 11 # Airag 935.000 1 Pb 31 # Airag 939.000 1 Pb 56 # Airag 994 2 Corrected radiocarbon date 802 880 140 113769 charcoal YES # Airag 1016 2 Corrected radiocarbon date 1225 1285 70 112151 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 910 911 -54 2 1.0 911 912 -53 0 1.0 912 913 -51 1 1.0 913 914 -50 0 1.0 914 915 -47 0 1.0 915 916 -45 0 1.0 916 917 -41 0 1.0 917 918 -38 0 1.0 918 919 -34 0 1.0 919 920 -31 0 1.0 920 921 -29 0 1.0 921 922 -26 0 1.0 922 923 -23 0 1.0 923 924 -20 0 1.0 924 925 -16 0 1.0 925 926 -13 0 1.0 926 927 -10 0 1.0 927 928 -6 0 1.0 928 929 -2 0 1.0 929 930 2 0 1.0 930 931 7 0 1.0 931 932 11 0 1.0 932 933 16 0 1.0 933 934 21 0 1.0 934 935 26 0 1.0 935 936 31 2 1.0 936 937 38 0 1.0 937 938 44 0 1.0 938 939 50 0 1.0 939 940 56 0 1.0 940 941 85 0 1.0 941 942 100 0 1.0 942 943 115 0 1.0 943 944 130 1 1.0 944 945 145 0 1.0 945 946 160 0 1.0 946 947 176 0 1.0 947 948 191 0 1.0 948 949 206 0 1.0 949 950 221 0 1.0 950 951 236 0 1.0 951 952 251 0 1.0 952 953 266 0 1.0 953 954 281 0 1.0 954 955 296 0 1.0 955 956 311 0 1.0 956 957 326 0 1.0 957 958 342 0 1.0 958 959 357 0 1.0 959 960 372 3 1.0 960 961 387 1 1.0 961 962 402 1 1.0 962 963 417 1 1.0 963 964 432 0 1.0 964 965 447 0 1.0 965 966 462 0 1.0 966 967 477 1 1.0 967 968 492 1 1.0 968 969 507 0 1.0 969 970 523 0 1.0 970 971 538 0 1.0 971 972 553 0 1.0 972 973 568 0 1.0 973 974 583 1 1.0 974 975 598 0 1.0 975 976 613 1 1.0 976 977 628 0 1.0 977 978 643 0 1.0 978 979 658 2 1.0 979 980 673 1 1.0 980 981 689 1 1.0 981 982 704 1 1.0 982 983 719 2 1.0 983 984 734 1 1.0 984 985 749 5 1.0 985 986 764 2 1.0 986 987 779 2 1.0 987 988 794 3 1.0 988 989 809 1 1.0 989 990 824 0 1.0 990 991 839 2 1.0 991 992 855 2 1.0 992 993 870 1 1.0 993 994 885 3 1.0 994 995 900 6 1.0 995 996 915 3 1.0 996 997 930 5 1.0 997 998 945 2 1.0 998 999 960 2 1.0 999 1000 975 4 1.0 1000 1001 990 6 1.0 1001 1002 1005 4 1.0 1002 1003 1020 1 1.0 1003 1004 1036 6 1.0 1004 1005 1051 2 1.0 1005 1006 1066 3 1.0 1006 1007 1081 3 1.0 1007 1008 1096 9 1.0 1008 1009 1111 3 1.0 1009 1010 1126 5 1.0 1010 1011 1141 17 1.0 1011 1012 1156 10 1.0 1012 1013 1171 10 1.0 1013 1014 1186 13 1.0 1014 1015 1202 9 1.0 1015 1016 1217 23 1.0 1016 1017 1232 10 1.0 1017 1018 1247 323 1.0 1018 1019 1262 139 1.0 1019 1020 1277 223 1.0 1020 1021 1292 14 1.0 1021 1022 1307 0 1.0 1022 1023 1322 0 1.0 1023 1024 1337 0 1.0 1024 1025 1352 0 1.0 1025 1026 1368 1 1.0 1026 1027 1383 11 1.0 1027 1028 1398 2 1.0 1028 1029 1413 47 1.0