# Laguna Yanacocha, Peru 13,000 Year Sediment Geochemical Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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://ncdc.noaa.gov/paleo/study/18495 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/paleolimnology/southamerica/peru/yanacocha2015xrf-innov.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology #-------------------- # Contribution_Date # Date: 2015-04-27 #-------------------- # Title # Study_Name: Laguna Yanacocha, Peru 13,000 Year Sediment Geochemical Data #-------------------- # Investigators # Investigators: Stansell, N.D.; Rodbell, D.T.; Licciardi, J.M.; Sedlak, C.M.; Schweinsberg, A.D.; Huss, E.G.; Delgado, G.M.; Zimmerman, S.H.; Finkel, R.C. #-------------------- # Description_and_Notes # Description: Laguna Yanacocha, Peru elemental geochemistry measured by ITRAX and Innov-X handheld scanning X-Ray Fluorescence (XRF), plus sediment # physical properties and geochemical data (dry bulk density, organic matter, clastic flux) for the past 13,000 years. #-------------------- # Publication # Authors: Nathan D. Stansell, Donald T. Rodbell, Joseph M. Licciardi, Christopher M. Sedlak, Avriel D. Schweinsberg, Elizabeth G. Huss, Grace M. Delgado, Susan H. Zimmerman, and Robert C. Finkel # Published_Date_or_Year: 2015-08-01 # Published_Title: Late Glacial and Holocene glacier fluctuations at Nevado Huaguruncho in the Eastern Cordillera of the Peruvian Andes # Journal_Name: Geology # Volume: 43 # Edition: # Issue: 8 # Pages: 747-750 # DOI: 10.1130/G36735.1 # Online_Resource: # Full_Citation: # Abstract: Discerning the timing and pattern of late Quaternary glacier variability in the tropical Andes is important for our understanding of global climate change. Terrestrial cosmogenic nuclide (TCN) ages (48) on moraines and radiocarbon-dated clastic sediment records from a moraine-dammed lake at Nevado Huaguruncho, Peru, document the waxing and waning of alpine glaciers in the Eastern Cordillera during the past ~15 k.y. The integrated moraine and lake records indicate that ice advanced at 14.1 +/- 0.4 ka, during the first half of the Antarctic Cold Reversal, and began retreating by 13.7 +/- 0.4 ka. Ice retreated and paraglacial sedimentation declined until ca. 12 ka, when proxy indicators of glacigenic sediment increased sharply, heralding an ice advance that culminated in multiple moraine positions from 11.6 +/- 0.2 ka to 10.3 +/- 0.2 ka. Proxy indicators of glacigenic sediment input suggest oscillating ice extents from ca. 10 to 4 ka, and somewhat more extensive ice cover from 4 to 2 ka, followed by ice retreat. The lack of TCN ages from these intervals suggests that glaciers were less extensive than during the late Holocene. A final Holocene advance occurred during the Little Ice Age (LIA, ca. 0.4 to 0.2 ka) under colder and wetter conditions as documented in regional proxy archives. The pattern of glacier variability at Huaguruncho during the Late Glacial and Holocene is similar to the pattern of tropical Atlantic sea-surface temperatures, and provides evidence that prior to the LIA, ice extent in the eastern tropical Andes was decoupled from temperatures in the high-latitude North Atlantic. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: EAR-1003780, EAR-1003711 #------------------ # Funding_Agency # Funding_Agency_Name: Keck Geology Consortium # Grant: #------------------ # Site_Information # Site_Name: Laguna Yanacocha # Location: South America>Peru # Country: Peru # Northernmost_Latitude: -10.5598 # Southernmost_Latitude: -10.5598 # Easternmost_Longitude: -75.9303 # Westernmost_Longitude: -75.9303 # Elevation: 4360 m #------------------ # Data_Collection # Collection_Name: Yanacocha2015XRF-innov # Earliest_Year: 1085 # Most_Recent_Year: -47 # Time_Unit: Cal. Year BP # Core_Length: 3.27 m # Notes: #------------------ # Chronology: # # # # # # # # #---------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## depth_cm depth, , , cm, , , , ,N ## age_calBP age, , , calendar years before present, , , Linear Age, ,N ## age_calBPpn age, , , calendar years before present, , , Polynomial Age, ,N ## Al%-x Aluminum, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Si%-x Silicon, , , %, , paleolimnology, , Innov-X handheld XRF,N ## S%-x Sulfer, , , %, , paleolimnology, , Innov-X handheld XRF,N ## K%-x Potassium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Ca%-x Calcium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Ti%-x Titanium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Mn%-x Manganese, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Fe%-x Iron, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Zn%-x Zinc, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Rb%-x Rubidium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Sr%-x Strontium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## Zr%-x Zirconium, , , %, , paleolimnology, , Innov-X handheld XRF,N ## PC1 Principal Component 1, , , , , paleolimnology, , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # depth_cm age_calBP age_calBPpn Al%-x Si%-x S%-x K%-x Ca%-x Ti%-x Mn%-x Fe%-x Zn%-x Rb%-x Sr%-x Zr%-x PC1 2.05 -47.00 -67.31 1.460 3.460 0.240 0.398 0.203 0.056 0.643 5.110 0.005 0.001 0.005 0.002 -4.345 2.55 -45.13 -65.48 1.450 3.000 0.145 0.316 0.155 0.014 0.358 3.050 0.007 0.001 0.005 0.002 -3.707 3.05 -42.33 -62.33 1.660 5.209 0.289 0.512 0.256 0.070 1.174 9.607 0.007 0.002 0.004 0.002 -4.363 3.55 -36.33 -57.85 2.370 5.620 0.203 0.533 0.220 0.074 1.090 11.610 0.007 0.002 0.004 0.002 -4.022 4.05 -30.34 -52.06 1.340 4.267 0.248 0.491 0.176 0.071 0.432 7.176 0.007 0.002 0.004 0.002 -4.108 4.55 -24.34 -44.94 2.460 6.940 0.184 0.921 0.150 0.098 0.251 5.562 0.008 0.003 0.005 0.004 -2.348 5.05 -11.16 -36.49 3.980 10.300 0.419 1.328 0.195 0.132 0.274 7.475 0.012 0.004 0.005 0.006 -1.654 5.55 7.97 -26.73 4.790 11.920 0.454 1.498 0.218 0.155 0.321 9.034 0.016 0.007 0.005 0.007 -0.567 6.05 27.09 -15.64 2.800 7.330 0.219 0.943 0.165 0.097 0.170 6.051 0.009 0.003 0.004 0.003 -2.557 6.55 49.88 -3.24 2.310 6.060 0.154 0.745 0.170 0.077 0.215 7.556 0.010 0.002 0.004 0.003 -2.926 7.05 72.68 10.49 4.090 9.720 0.197 0.988 0.211 0.083 0.254 7.930 0.012 0.004 0.004 0.004 -2.092 7.55 95.47 25.55 2.240 6.340 0.119 0.854 0.157 0.071 0.153 6.098 0.013 0.003 0.004 0.003 -2.270 8.05 105.74 41.92 3.170 8.700 0.203 1.104 0.196 0.108 0.145 6.278 0.014 0.004 0.004 0.006 -1.507 8.55 116.01 59.62 4.630 11.670 0.152 1.497 0.141 0.160 0.137 5.732 0.011 0.006 0.004 0.007 -0.269 9.05 126.28 78.64 5.110 15.550 0.089 1.740 0.242 0.196 0.130 4.840 0.013 0.007 0.005 0.009 0.793 9.55 136.55 98.98 6.400 15.950 0.071 1.910 0.202 0.237 0.128 4.340 0.011 0.007 0.005 0.010 1.412 10.05 146.82 120.64 5.880 17.030 0.054 2.062 0.188 0.271 0.118 4.478 0.012 0.009 0.005 0.012 2.278 10.55 157.09 143.63 7.630 18.260 0.090 2.410 0.151 0.274 0.144 4.820 0.014 0.010 0.006 0.014 3.426 11.05 167.36 167.93 8.570 18.990 2.350 0.165 0.306 0.116 5.030 0.015 0.011 0.006 0.014 11.55 177.63 193.56 7.250 17.140 0.046 2.090 0.124 0.306 0.121 5.336 0.015 0.011 0.007 0.014 3.966 12.05 187.90 220.51 9.460 20.360 0.093 2.470 0.146 0.311 0.141 5.316 0.015 0.011 0.007 0.016 4.722 12.55 198.17 248.79 7.910 14.470 0.070 1.760 0.115 0.244 0.124 4.280 0.011 0.006 0.006 0.009 1.680 13.05 214.63 278.38 6.340 16.670 0.129 2.044 0.227 0.252 0.145 4.737 0.012 0.008 0.006 0.012 1.952 13.55 231.09 309.30 7.060 14.080 0.120 1.566 0.146 0.203 0.154 4.170 0.010 0.005 0.005 0.007 0.629 14.05 247.55 341.54 4.150 11.260 0.172 1.180 0.261 0.136 1.218 3.824 0.010 0.003 0.005 0.005 -1.616 14.55 264.01 375.10 2.270 7.330 0.083 0.698 0.218 0.081 4.715 5.043 0.006 0.003 0.003 0.004 -3.610 15.05 280.47 409.99 3.520 10.860 0.095 1.154 0.188 0.134 2.868 5.290 0.006 0.005 0.004 0.010 -1.668 15.55 296.93 446.19 6.930 15.170 0.095 1.770 0.076 0.191 0.860 5.570 0.013 0.008 0.005 0.009 1.585 16.05 313.39 483.72 8.970 20.160 0.093 1.780 0.176 0.267 0.909 6.770 0.016 0.011 0.006 0.015 3.573 16.55 382.75 522.57 7.520 17.680 0.031 1.916 0.138 0.296 0.622 5.633 0.014 0.011 0.008 0.014 3.859 17.05 452.11 562.74 7.630 18.310 0.027 2.021 0.191 0.277 0.335 5.187 0.013 0.010 0.008 0.013 3.518 17.55 521.47 604.24 6.610 16.110 0.052 1.859 0.181 0.252 0.536 6.243 0.012 0.009 0.006 0.011 2.199 18.05 590.83 647.05 6.180 15.490 0.035 1.718 0.171 0.237 0.175 4.747 0.010 0.008 0.006 0.010 1.596 18.55 660.19 691.19 8.660 20.120 2.253 0.156 0.339 0.174 5.616 0.015 0.013 0.008 0.015 19.05 729.55 736.65 4.400 11.750 0.036 1.332 0.167 0.189 0.139 3.567 0.009 0.006 0.006 0.008 0.120 19.55 798.91 783.44 6.080 16.400 0.071 1.684 0.233 0.287 0.198 5.132 0.011 0.008 0.008 0.014 2.415 20.05 868.27 831.54 8.680 20.210 0.133 1.826 0.153 0.330 0.333 7.070 0.013 0.010 0.008 0.016 3.968 20.55 902.19 880.97 5.780 15.800 0.151 1.580 0.162 0.244 0.383 5.824 0.011 0.007 0.005 0.011 1.147 21.05 936.10 931.72 5.610 14.780 0.087 1.537 0.157 0.204 1.726 7.923 0.012 0.008 0.005 0.011 0.898 21.25 949.67 952.39 5.380 15.320 0.097 1.449 0.171 0.145 0.130 5.055 0.009 0.005 0.005 0.006 -0.240 23.25 1085.33 1170.72 2.420 12.810 0.076 0.764 0.140 0.082 0.098 3.189 0.009 0.002 0.005 0.003 -1.868