# Umbanhowar fire data from Kholboo Nuur, western Mongolia - IMPD MNKBN001 #----------------------------------------------------------------------- # 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/20430 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/asia/mnkbn001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-08-01 #--------------------------------------- # Title # Study_Name: Umbanhowar fire data from Kholboo Nuur, western Mongolia - IMPD MNKBN001 #--------------------------------------- # 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: Kholboo Nuur # Location: Asia # Country: Mongolia # Northernmost_Latitude: 49.7014 # Southernmost_Latitude: 49.7014 # Easternmost_Longitude: 91.0914 # Westernmost_Longitude: 91.0914 # Elevation: 2570 #--------------------------------------- # Data_Collection # Collection_Name: MNKBN001-CHAR # First_Year: 3525.51724137916 # Last_Year: -51.608351146 # 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 # Kholboo 290.00 2.00 Pb -54 # Kholboo 292.00 2.00 Pb -46 # Kholboo 294.00 2.00 Pb -34 # Kholboo 296.00 2.00 Pb -21 # Kholboo 298.00 2.00 Pb 0 # Kholboo 299.00 1.00 Pb 12 # Kholboo 300.00 1.00 Pb 26 # Kholboo 301.00 1.00 Pb 36 # Kholboo 302.00 1.00 Pb 53 # Kholboo 303.00 1.00 Pb 66 # Kholboo 304.00 1.00 Pb 91 # Kholboo 360 4 Corrected radiocarbon date 1727 1800 120 113768 charcoal YES # Kholboo 374.5 1 Corrected radiocarbon date 3002 2875 80 112152 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 290 291 -52 0 1.0 290 292 -50 0 1.0 291 292 -48 0 1.0 292 293 -44 0 1.0 293 294 -39 0 1.0 294 295 -32 0 1.0 294 296 -29 0 1.0 295 296 -25 0 1.0 296 297 -16 0 1.0 296 298 -11 0 1.0 297 298 -6 0 1.0 298 299 5 0 1.0 298 299 5 0 1.0 298 299 5 0.0 1.0 299 300 18 0.0 1.0 299 300 18 0.0 1.0 299 300 18 0.0 1.0 300 301 31 0.0 1.0 300 301 31 0.0 1.0 300 301 31 0.0 1.0 301 302 46 0.0 1.0 301 302 46 0.0 1.0 301 302 46 0.0 1.0 302 303 61 0.0 1.0 302 303 61 2.0 1.0 302 303 61 1.0 1.0 303 304 78 0.0 1.0 303 304 78 0.0 1.0 303 304 78 0.0 1.0 304 305 96 0.0 1.0 304 305 106 0.0 1.0 304 305 101 0.0 1.0 305 306 135 0.0 1.0 305 306 135 0.0 1.0 305 306 135 0.0 1.0 306 307 164 0.0 1.0 306 307 164 1.0 1.0 306 307 164 0.5 1.0 307 308 193 0.0 1.0 307 308 193 3.0 1.0 307 308 193 1.5 1.0 308 309 223 0 1.0 309 310 252 0 1.0 310 311 281 1 1.0 311 312 310 0 1.0 312 313 340 1 1.0 313 314 369 0 1.0 314 315 398 0 1.0 315 316 428 0 1.0 316 317 457 0 1.0 317 318 486 1 1.0 318 319 515 1 1.0 319 320 545 4 1.0 320 321 574 4 1.0 321 322 603 0 1.0 322 323 632 0 1.0 323 324 662 0 1.0 324 325 691 0 1.0 325 326 720 0 1.0 326 327 749 0 1.0 327 328 779 0 1.0 328 329 808 0 1.0 329 330 837 1 1.0 330 331 867 0 1.0 331 332 896 0 1.0 332 333 925 1 1.0 333 334 954 0 1.0 334 335 984 0 1.0 335 336 1013 0 1.0 336 337 1042 2 1.0 337 338 1071 2 1.0 338 339 1101 0 1.0 339 340 1130 0 1.0 340 341 1159 0 1.0 341 342 1189 1 1.0 342 343 1218 0 1.0 343 344 1247 0 1.0 344 345 1276 1 1.0 345 346 1306 1 1.0 346 347 1335 0 1.0 347 348 1364 1 1.0 348 349 1393 2 1.0 349 350 1423 1 1.0 350 351 1452 1 1.0 351 352 1481 0 1.0 352 353 1510 0 1.0 353 354 1540 2 1.0 354 355 1569 4 1.0 355 356 1598 1 1.0 356 357 1628 0 1.0 357 358 1657 2 1.0 358 359 1686 3 1.0 359 360 1715 14 1.0 360 361 1774 6 1.0 361 362 1861 5 1.0 362 363 1949 1 1.0 363 364 2037 1 1.0 364 365 2124 3 1.0 365 366 2212 1 1.0 366 367 2299 0 1.0 367 368 2387 3 1.0 368 369 2474 3 1.0 369 370 2562 4 1.0 370 371 2650 14 1.0 371 372 2737 10 1.0 372 373 2825 13 1.0 373 374 2912 2 1.0 374 375 3000 17 1.0 375 376 3088 7 1.0 376 377 3175 7 1.0 377 378 3263 2 1.0 378 379 3350 8 1.0 379 380 3438 3 1.0 380 381 3526 2 1.0