# Umbanhowar fire data from Takhilt Nuur, western Mongolia - IMPD MNTHN001 #----------------------------------------------------------------------- # 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/20436 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/asia/mnthn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Takhilt Nuur, western Mongolia - IMPD MNTHN001 #--------------------------------------- # 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: Takhilt Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 48.8064 # Southernmost_Latitude: 48.8064 # Easternmost_Longitude: 96.8062 # Westernmost_Longitude: 96.8062 # Elevation: 1502 #--------------------------------------- # Data_Collection # Collection_Name: MNTHN001-CHAR # First_Year: 897.881364753304 # Last_Year: -54.5 # 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 # Takhilt 541.000 1 Pb -54.5 # Takhilt 544.000 1 Pb -48.6 # Takhilt 546.000 1 Pb -42.8 # Takhilt 547.000 1 Pb -39.4 # Takhilt 548.000 1 Pb -36.4 # Takhilt 550.000 1 Pb -29.6 # Takhilt 551.000 1 Pb -25.6 # Takhilt 552.000 1 Pb -22.7 # Takhilt 553.000 1 Pb -19.8 # Takhilt 556.000 1 Pb -10.8 # Takhilt 558.000 1 Pb -4.9 # Takhilt 559.000 1 Pb -2.3 # Takhilt 562.000 1 Pb 5.9 # Takhilt 565.000 1 Pb 13.4 # Takhilt 568.000 1 Pb 21.3 # Takhilt 570.000 1 Pb 27.4 # Takhilt 572.000 1 Pb 34.3 # Takhilt 574.000 1 Pb 43.1 # Takhilt 576.000 1 Pb 51.8 # Takhilt 578 1 Pb 59.4 # Takhilt 581 1 Pb 80.3 # Takhilt 585 1 Pb 118.1 # Takhilt 626 4 Corrected radiocarbon date 510 475 35 132983 charcoal YES # Takhilt 681 4 Corrected radiocarbon date 770 850 120 123410 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 540 541 -54.50 0 1.0 541 542 -52.53 0 1.0 542 543 -50.57 0 1.0 543 544 -48.60 0 1.0 544 545 -45.70 0 1.0 545 546 -42.80 0 1.0 546 547 -39.40 0 1.0 547 548 -36.40 0 1.0 548 549 -33.00 0 1.0 549 550 -29.60 0 1.0 550 551 -25.60 0 1.0 551 552 -22.70 0 1.0 552 553 -19.80 0 1.0 553 554 -16.80 0 1.0 554 555 -13.80 0 1.0 555 556 -10.80 0 1.0 556 557 -7.85 0 1.0 557 558 -4.90 0 1.0 558 559 -2.30 0 1.0 559 560 0.43 0 1.0 560 561 3.17 0 1.0 561 562 5.90 0 1.0 562 563 8.40 0 1.0 563 564 10.90 0 1.0 564 565 13.40 0 1.0 565 566 16.03 0 1.0 566 567 18.67 0 1.0 567 568 21.30 0 1.0 568 569 24.35 0 1.0 569 570 27.40 0 1.0 570 571 30.85 0 1.0 571 572 34.30 0 1.0 572 573 38.70 0 1.0 573 574 43.10 0 1.0 574 575 47.45 0 1.0 575 576 51.80 0 1.0 576 577 55.60 0 1.0 577 578 59.40 0 1.0 578 579 66.37 0 1.0 579 580 73.33 0 1.0 580 581 80.30 0 1.0 581 582 89.75 0 1.0 582 583 99.20 0 1.0 583 584 108.65 0 1.0 584 585 118.10 0 1.0 585 586 125.53 0 1.0 586 587 132.82 0 1.0 587 588 140.10 0 1.0 588 589 147.39 0 1.0 589 590 154.67 0 1.0 590 591 161.96 0 1.0 591 592 169.25 0 1.0 592 593 176.53 0 1.0 593 594 183.82 0 1.0 594 595 191.11 0 1.0 595 596 198.39 0 1.0 596 597 205.68 0 1.0 597 598 212.96 0 1.0 598 599 220.25 0 1.0 599 600 227.54 0 1.0 600 601 234.82 0 1.0 601 602 242.11 0 1.0 602 603 249.40 0 1.0 603 604 256.68 0 1.0 604 605 263.97 0 1.0 605 606 271.26 0 1.0 606 607 278.54 0 1.0 607 608 285.83 0 1.0 608 609 293.11 0 1.0 609 610 300.40 2 1.0 610 611 307.69 2 1.0 611 612 314.97 0 1.0 612 613 322.26 0 1.0 613 614 329.55 0 1.0 614 615 336.83 0 1.0 615 616 344.12 0 1.0 616 617 351.41 0 1.0 617 618 358.69 0 1.0 618 619 365.98 0 1.0 619 620 373.26 0 1.0 620 621 380.55 0 1.0 621 622 387.84 1 1.0 622 623 395.12 0 1.0 623 624 402.41 0 1.0 624 625 409.70 3 1.0 625 626 416.98 1 1.0 626 627 424.27 2 1.0 627 628 431.56 1 1.0 628 629 438.84 0 1.0 629 630 446.13 0 1.0 630 631 453.41 0 1.0 631 632 460.70 0 1.0 632 633 467.99 0 1.0 633 634 475.27 0 1.0 634 635 482.56 1 1.0 635 636 489.85 2 1.0 636 637 497.13 0 1.0 637 638 504.42 0 1.0 638 639 511.71 1 1.0 639 640 518.99 1 1.0 640 641 526.28 1 1.0 641 642 533.56 0 1.0 642 643 540.85 0 1.0 643 644 548.14 0 1.0 644 645 555.42 0 1.0 645 646 562.71 0 1.0 646 647 570.00 0 1.0 647 648 577.28 0 1.0 648 649 584.57 0 1.0 649 650 591.85 0 1.0 650 651 599.14 1 1.0 651 652 606.43 1 1.0 652 653 613.71 1 1.0 653 654 621.00 0 1.0 654 655 628.29 0 1.0 655 656 635.57 2 1.0 656 657 642.86 0 1.0 657 658 650.15 5 1.0 658 659 657.43 3 1.0 659 660 664.72 1 1.0 660 661 672.00 3 1.0 661 662 679.29 0 1.0 662 663 686.58 0 1.0 663 664 693.86 0 1.0 664 665 701.15 0 1.0 665 666 708.44 1 1.0 666 667 715.72 0 1.0 667 668 723.01 0 1.0 668 669 730.30 0 1.0 669 670 737.58 0 1.0 670 671 744.87 0 1.0 671 672 752.15 0 1.0 672 673 759.44 0 1.0 673 674 766.73 0 1.0 674 675 774.01 0 1.0 675 676 781.30 0 1.0 676 677 788.59 0 1.0 677 678 795.87 1 1.0 678 679 803.16 0 1.0 679 680 810.45 0 1.0 680 681 817.73 0 1.0 681 682 825.02 2 1.0 682 683 832.30 0 1.0 683 684 839.59 0 1.0 684 685 846.88 0 1.0 685 686 854.16 0 1.0 686 687 861.45 0 1.0 687 688 868.74 0 1.0 688 689 876.02 0 1.0 689 690 883.31 0 1.0 690 691 890.60 0 1.0 691 692 897.88 0 1.0