# Laguna del Maule, Chile 13,000 Year Multiproxy Sediment Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/29692 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/paleolimnology/southamerica/chile/maule2020pollen.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data_Type: Paleolimnology # # Dataset_DOI: # # Parameter_Keywords: carbon isotopes, nitrogen isotopes, geochemistry, population abundance #-------------------- # Contribution_Date # Date: 2020-05-05 #-------------------- # File_Last_Modified_Date # Date: 2020-05-05 #-------------------- # Title # Study_Name: Laguna del Maule, Chile 13,000 Year Multiproxy Sediment Data #-------------------- # Investigators # Investigators: Frugone-Álvarez, M.; Valero-Garcés, B. #-------------------- # Description_Notes_and_Keywords # Description: Geochemical, stable isotope, and pollen data from sediments collected in Laguna del Maule, Chile for the past 13,000 years for the HOLOCHILL project. #-------------------- # Publication # Authors: Matías Frugone-Álvarez, Claudio Latorre, Fernando Barreiro-Lostres, Santiago Giralt, Ana Moreno, Josué Polanco-Martínez, Antonio Maldonado, María Laura Carrevedo, Patricia Bernárdez, Ricardo Prego, Antonio Delgado Huertas, Magdalena Fuentealba, and Blas Valero-Garcés # Published_Date_or_Year: 2020-05-08 # Published_Title: Volcanism and climate change as drivers in Holocene depositional dynamic of Laguna del Maule (Andes of central Chile - 36 S) # Journal_Name: Climate of the Past # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: 10.5194/cp-2019-147 # Online_Resource: https://www.clim-past-discuss.net/cp-2019-147/ # Full_Citation: # Abstract: Late Quaternary volcanic basins are active landscapes from which detailed archives of past climate, seismic and volcanic activity can be obtained. A multidisciplinary study performed on a transect of sediment cores was used to reconstruct the depositional evolution of the high-elevation Laguna del Maule (LdM) (36 S, 2180 m asl, Chilean Andes). The recovered 5 m composite sediment sequence includes two thick turbidite units (LT1 and LT2) and numerous tephra layers (23 ash and 6 lapilli). We produced an age model is based on nine new 14C AMS date, existing 210Pb and 137Cs data and the Quizapú ash horizon (CE 1932). According to this age model, early Holocene were followed by a phase of increased productivity during the mid Holocene and higher lake levels after 4.0 ka BP. Major hydroclimate transitions occurred at ca. 0.5, 4.0, 8.0 and 11 ka BP. Decreased summer insolation and winter precipitation due to a southward shift in the Southern Westerly Winds and a strengthened Pacific Subtropical High could explain early Holocene lower lake levels. Increased biological productivity during the mid-Holocene (~ 8.0 to 6.0 ka) is coeval with a warm-dry phase described for much of southern South America. Periods of higher lake productivity are synchronous to higher frequency of volcanic events. During the late Holocene, the tephra layers shows compositional changes suggesting a transition from silica-rich to silica-poor magmas at around 4.0 cal ka BP. This transition was synchronous with increased variability of sedimentary facies and geochemical proxies, indicating higher lake levels and increased moisture at LdM after 4.0 cal ka BP, most likely caused by the inception of current ENSO/PDO-like dynamics in central Chile. #------------------ # Funding_Agency # Funding_Agency_Name: FONDECYT; CSIC Spain # Grant: HOLOCHILL project (CGL2012-32501);IEB (grant AFB170008); FONDECYT 3180368 #------------------ # Site_Information # Site_Name: Laguna del Maule # Location: South America>Chile # Country: Chile # Northernmost_Latitude: -36.04 # Southernmost_Latitude: -36.04 # Easternmost_Longitude: -70.5 # Westernmost_Longitude: -70.5 # Elevation: 2180 #------------------ # Data_Collection # Collection_Name: LdM2020pollen # Earliest_Year: 13267 # Most_Recent_Year: -37 # Time_Unit: Cal. Year BP # Core_Length: 2.68 # Notes: #------------------ # Chronology_Information # Chronology: # Radiocarbon dating of LdM sequence. # We used only the macrophytes samples for the construction of age-depth model with # a reservoir correction of 4700 years. The table shows the median age with reservoir # effect corrected from the Bayesian age-depth model and uncertainties (lower and upper error). # (*) Indicates the AMS radiocarbon dates without 14C reservoir effect. # (**) Dating excluded from the age model. # # Lab Code ID Section Depth(m) 14C a BP 1 sigma MedianW/R (cal a BP) lower a upper a Material # Poz-59915 LEM11-3D 0.13 85 * 25 48 86 23 Wood # Poz-57545 LEM13-3A 0.14 4,820 60& 36 60 22 Macrophytes # UCIAMS133686 LEM11-1A 0.30 4,760 ** 15 -- -- -- Bulk sediment # UCIAMS133687 LEM11-1A 0.38 680 * 35 536 633 400 Plant macros # D-AMS001135 LEM11-1A 0.47 4,367 ** 25 -- -- -- Bulk sediment # Poz-59917 LEM13-3A-2U 1.57 8,230 50 4,040 4,395 3,741 Macrophytes # Poz-59918 LEM13-3A-2U 1.58 8,500 50 4,066 4,410 3,790 Macrophytes # Poz-59919 LEM13-3A-3U 2.00 11,440 60 7,466 7,800 6,890 Macrophytes # Poz-59921 LEM13-3A-3U 2.13 12,550 70 8,517 8,940 8,157 Macrophytes # Poz-59922 LEM13-3A-3U 2.34 14,000 70 10,290 10,707 9,850 Macrophytes # Poz-59923 LEM13-3A-3U 2.59 15,630 130 12,467 12,997 11,465 Macrophytes # Poz-57281 LEM13-20m -- 2,370 (***) 30 -- -- -- DIC # Poz-60705 LEM135D -- 2,380 (***) 30 -- -- -- Modern macrophytes # # R code # labID age error depth cc dR dSTD t.a t.b # Pb-210 -61.1 2.32 0 0 0 0 3 4 # Pb-210 -52.5 2.23 2 0 0 0 3 4 # Pb-210 -37 2.64 4 0 0 0 3 4 # Pb-210 -26 3.27 5 0 0 0 3 4 # Pb-210 -14.9 4.07 6 0 0 0 3 4 # Pb-210 -5.4 4.96 7 0 0 0 3 4 # Pb-210 2.3 6.04 8 0 0 0 3 4 # Pb-210 13.9 7.94 9.5 0 0 0 3 4 # Pb-210 24.7 10.86 10.5 0 0 0 3 4 # Pb-210 45.6 20.35 11.5 0 0 0 3 4 # th1 19.5 1 12 0 0 0 3 4 # Poz-57545 85 25 13 3 0 0 3 4 # Poz-59915 4820 60 14 3 4700 60 3 4 # 133687 680 35 38 3 0 0 3 4 # Poz-59917 8230 50 157 3 4700 60 3 4 # Poz-59918 8500 50 158 3 4700 60 3 4 # Poz-59919 11440 60 200 3 4700 60 3 4 # Poz-59921 12550 70 213 3 4700 60 3 4 # Poz-59922 14000 70 234 3 4700 60 3 4 # Poz-59923 15630 130 259 3 4700 60 3 4 # # source('Bacon.R') # Bacon("LEM", acc.mean=80, res=20, acc.shape=1.5, mem.strength=4, mem.mean=0.7, thick=4,d.by=1, ssize=8000, d.max=268, rotate.axes=TRUE) # dev.off() # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## depth depth,,,centimeter,,pollen,,,N, ## age_BP age,,,calendar year before present,,pollen,,,N,age median ## Ephedra identified pollen,,,percent,,pollen,,,N,Ephedra ## Poaceae identified pollen,,,percent,,pollen,,,N,Poaceae # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: -9999 # Depth Age Ephedra Poaceae 4 -37.9 3.2573 21.8241 8 5.2 -9999 43.0464 15 62.5 3.8462 52.8846 19 148 2.3333 45.0000 23 244 2.2727 53.2468 27 342.5 5.9561 51.0972 31 440.6 2.3256 48.8372 35 533.2 1.3201 57.7558 39 627 3.3003 56.1056 45 777.5 9.8361 47.8689 49 888.6 -9999 51.4658 53 1003.3 3.3223 56.4784 57 1119.5 8.9457 47.6038 61 1237.6 2.1807 59.1900 65 1353.9 6.2696 52.6646 69 1471.2 7.5163 48.3660 73 1590.7 6.9536 46.3576 77 1710.8 10.4235 54.0717 81 1829.8 7.9470 53.9735 84 1946.1 10.8553 51.6447 89 2063.7 11.3565 52.0505 93 2124.4 1.6447 54.9342 97 2243.2 12.1019 49.6815 101 2387.1 6.9307 49.5050 105 2502.4 6.1290 55.1613 113 2707 6.4725 46.9256 117 2823.9 6.8182 54.2208 121 2939.3 6.5147 56.3518 125 3056.9 7.7419 54.1935 129 3171.3 8.4142 54.0453 133 3288.7 7.3718 59.2949 137 3404.1 12.1311 50.8197 141 3518.8 12.8205 46.1538 145 3691 3.5831 51.1401 149 3805.8 3.4375 45.3125 153 3919.2 8.5809 49.8350 157 4033.1 10.2310 44.5545 161 4131.7 6.3898 47.2843 165 4430 21.9672 36.3934 170 4829.5 25.6966 33.4365 174 5169.4 22.8395 35.8025 178 5508.5 14.9502 48.8372 182 5855.7 18.7097 41.2903 186 6201.6 28.1553 31.3916 190 6547.2 41.5430 29.0801 193 6890.6 11.1465 46.8153 197 7142.6 17.4757 42.0712 201 7378.1 12.7273 38.4848 205 7684.4 14.7436 38.7821 209 8004.1 8.7948 47.2313 213 8498.1 15.2381 41.9048 217 8907.4 19.8718 33.6538 221 9254.5 15.1899 42.7215 225 9607.2 16.9435 30.8970 233 9961.5 13.2013 41.2541 237 10300.6 3.2164 40.9357 241 10916.6 6.4516 53.2258 245 11179.2 8.0128 48.0769 249 11470.6 3.2573 50.4886 253 11852 9.7345 51.6224 257 12332.8 10.4918 32.7869 261 12708.8 4.9342 47.6974 264 12966.5 9.0062 41.9255 268 13267.6 3.8462 55.4487