# Lake Imandra, Russia Biomarker, Geochemistry, Magnetic Susceptibility, Foraminifer, and Pollen Data over the last 11,000 years #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 4.0 # 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. # # Description/Documentation lines begin with # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/40079 # Landing_Page_Description: NOAA Landing Page of this data file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-lake-40079.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Paleolimnology # # Dataset_DOI: 10.25921/nbsb-aw05 # # Science_Keywords: #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/asia/russia/holtzman2024/holtzman2024-pollen.txt # Data_Download_Description: NOAA Template File; Lake Imandra Pollen Data # #------------------ # Contribution_Date # Date: 2024-11-26 #------------------ # File_Last_Modified_Date # Date: 2025-04-03 #------------------ # Title # Study_Name: Lake Imandra, Russia Biomarker, Geochemistry, Magnetic Susceptibility, Foraminifer, and Pollen Data over the last 11,000 years #------------------ # Investigators # Investigators: Holtzman, Hannah; Thomas, Elizabeth; Erb, Michael; Marshall, Leah; Castañeda, Isla; Kaufman, Darrell; McKay, Nicholas; Melles, Martin #------------------ # Description_Notes_and_Keywords # Description: #------------------ # Publication # Authors: Holtzman, Hannah; Thomas, Elizabeth; Erb, Michael; Marshall, Leah; Castañeda, Isla; Kaufman, Darrell; McKay, Nicholas; Melles, Martin # Published_Date_or_Year: 2025 # Published_Title: Early Holocene Atmospheric Circulation Changes Over Northern Europe Based on Isotopic and Biomarker Evidence From Kola Peninsula # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 40 # Edition: # Issue: 3 # Pages: # Report_Number: e2024PA005076 # DOI: 10.1029/2024PA005076 # Online_Resource: # Full_Citation: # Abstract: Rapid Arctic warming this century will likely cause major water cycle and atmospheric circulation changes, including weakening mid-latitude westerly winds and more persistent summer high pressures over Fennoscandia. These conditions can cause drought in northern Europe and extreme rainfall in the Mediterranean region. Uncertainties in the spatiotemporal patterns of these predictions can be partially addressed with records of past climate response to rapid change. The early Holocene collapse of the Northern Hemisphere ice sheets provides a natural experiment to evaluate the climate response to rapid changes in boundary conditions. We analyzed lipid biomarker distributions and hydrogen isotope (δ2H) values from Lake Imandra, Kola Peninsula, to infer Holocene summer temperature and summer precipitation δ2H values. Sensitivity tests of a lake model suggest summer precipitation δ2H values are the main mechanism influencing Lake Imandra δ2H values. Summer precipitation isotope values exhibited a nearly 20‰ 2H-depletion between 8.6 and 8.0 ka, with 2H -enriched values before 8.6 ka and 2H -depleted values 8.0 ka to present. Maximum warmth occurred from 8.5 to 7.0 ka. Climate model experiments suggest that the early Holocene Laurentide Ice Sheet collapse caused a westward shift of the Fennoscandian summer high-pressure center. This caused a decrease in the proportion of local, 2H-enriched precipitation falling throughout Fennoscandia and an increase in far-traveled, 2H-depleted precipitation from the mid-latitudes, circulation that persisted throughout the Holocene. These results illustrate the sensitivity of climate in Fennoscandia and show that circulation regime shifts can occur in response to changes in boundary conditions far upwind. #------------------ # Publication # Authors: Lenz, Matthias; Savelieva, Larisa; Frolova, Larisa; Cherezova, Anna; Moros, Matthias; Baumer, Marlene M.; Gromig, Raphael; Kostromina, Natalia; Nigmatullin, Niyaz; Kolka, Vasili; Wagner, Benrd; Fedorov, Grigory; Melles, Martin # Published_Date_or_Year: 2021 # Published_Title: Lateglacial and Holocene environmental history of the central Kola region, northwestern Russia revealed by a sediment succession from Lake Imandra # Journal_Name: Boreas # Volume: 50 # Edition: # Issue: 1 # Pages: 76-100 # Report_Number: # DOI: 10.1111/bor.12465 # Online_Resource: # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: Geological Society of America Quaternary Geology and Geomorphology Division # Grant: Arthur D. Howard Award #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: EAR-IF 1652274, ARCSS 1947981, ARCSS 1948005 #------------------ # Funding_Agency # Funding_Agency_Name: US-Norway Fulbright Foundation # Grant: Fulbright Norway Scholar #------------------ # Funding_Agency # Funding_Agency_Name: German Research Foundation # Grant: ME 1169/28 #------------------ # Site_Information # Site_Name: Lake Imandra # Location: Russia # Northernmost_Latitude: 67.7158 # Southernmost_Latitude: 67.7158 # Easternmost_Longitude: 33.0851 # Westernmost_Longitude: 33.0851 # Elevation_m: 127 #------------------ # Data_Collection # Collection_Name: Imandra pollen Holtzman2024 # First_Year: 11130 # Last_Year: -66 # Time_Unit: cal yr BP # Core_Length_m: # Parameter_Keywords: population abundance # Notes: #------------------ # Chronology_Information # Chronology: Radiocarbon # Chronology_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/templates/noaa-wds-paleo-14c-terms.csv # Chronology_Download_Description: Radiocarbon terms and definitions. # Chronology_Notes: Age-depth constraints from core Co1410. Samples for this study were analyzed at the Arizona Climate and Ecosystems (ACE) Isotope Laboratory at Northern Arizona University # Rejection_Rationale: # Reservoir_Method: # Calibration_Method: Calib8.2 (Stuiver et al., 2022) and IntCal20 (Reimer et al., 2020) # Age_Model_Method: # Missing_Values: # Chronology_Table: # lab_code samp_id depth_end_cm depth_start_cm depth_cm weight_ug age_14C_BP1950 age_14C_1s_yr age_calib_BP1950 age_calib_2s_yr calib_curve # Lenz Surface nan nan 0 nan nan nan -68 1 None # Lenz Co1410_26-28 26 28 27 nan nan nan -36 10 IntCal20 # Lenz Co1410_40-42 40 42 41 nan nan nan 50 10 IntCal20 # 7625.1.1 Co1410-3-I 70cm 70 72 71 56 1104 71 1020 220 IntCal20 # Lenz COL5648.1.0.0.1 104 106 105 27 1398 81 1307 195.5 IntCal20 # 3616.1.1 Co1410-8-I 212-214 cm 212 214 213 98 3006 69 3191 198 IntCal20 # 4752.1.1 Co1410-4-I 258-260 258 260 259 59 4140 84 4667 211.5 IntCal20 # 7626.1.1 Co1410-4-I 274cm 274 276 275 33 4375 87 4991 234.5 IntCal20 # Lenz COL5649.1.0.0.1 332 334 333 28 5227 92 6009 260.5 IntCal20 # 4753.1.1 Co1410-4-II 350-352 350 352 351 84 5763 92 6562 230.5 IntCal20 # 7629.1.1 Co1410-4-I 365cm 364 366 365 99 5865 97 6680 245.5 IntCal20 # 3618.1.1 Co1410-4-II 396-398 cm 396 398 397 90 6647 88 7524 157 IntCal20 # 3617.1.1 Co1410-4-II 396-398 cm 396 398 397 88 6844 88 7687 200 IntCal20 # 3611.1.1 Co1410-9-I 406-408 cm 406 408 407 99 7401 88 8218 171 IntCal20 # 4754.1.1 Co1410-9-I 410-412 410 412 411 92 7425 106 8236 190 IntCal20 # Lenz COL5650.1.0.0.1 412 414 413 31 7080 86 7894 165.5 IntCal20 # 3612.1.1 Co1410-9-I 414-416 cm 414 416 415 96 7273 92 8095 194.5 IntCal20 # 3613.1.1 Co1410-9-I 414-416 cm 414 416 415 93 7364 88 8175 173 IntCal20 # 4755.1.1 Co1410-9-I 418-420 418 420 419 95 7963 107 8817 291 IntCal20 # 3615.1.1 Co1410-9-I 422-424 cm 422 424 423 96 6463 84 7369 195 IntCal20 # 3614.1.1 Co1410-9-I 422-424 cm 422 424 423 95 6877 87 7721 173.5 IntCal20 # 3925.1.1 Co1410-5-I 434-436 434 436 435 93 8042 101 8901 331 IntCal20 # 4756.1.1 Co1410-5-I 438-440 438 440 439 92 7781 109 8583 299 IntCal20 # Lenz COL5291.1.1 448 450 449 997 8017 51 8873 184.5 IntCal20 # 3922.1.1 Co1410-5-I 464-466 464 466 465 94 8398 101 9383 252 IntCal20 # 3923.1.1 Co1410-5-I 488-490 488 490 489 55 8735 99 9761 304 IntCal20 # 7628.1.1 Co1410-5-I 494cm 494 496 495 97 9188 122 10379 371 IntCal20 # 7627.1.1 Co1410-5-I 499cm 498 500 499 93 9181 122 10373 368 IntCal20 # Lenz COL5652.1.0.0.1 504 506 505 31 9769 92 11180 313 IntCal20 # 3926.1.1 Co1410-5-I 505-507 505 507 506 90 9705 111 11056 307.5 IntCal20 # 7630.1.1 Co1410-5-II 508-512cm 508 512 510 91 9623 125 10948 327 IntCal20 # Lenz COL5651.1.0.0.1 510 512 511 36 10032 93 11549 311.5 IntCal20 # 3924.1.1 Co1410-5-II 512-514 512 514 513 99 9623 110 10951 311.5 IntCal20 # 7631.1.1 Co1410-5-II 514-518cm 514 518 516 93 9855 127 11318 505 IntCal20 #------------------ # 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 ( 10 components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data, additional_information) # ## depth depth,,,centimeter,,pollen,,,N, ## pinus pollen,,,percent,,pollen,,,N,Percent of total pollen count that is Pinus ## artemisia pollen,,,percent,,pollen,,,N,Percent of total pollen count that is Artemisia ## pollen-tot pollen,,,count,,pollen,,,N,Total pollen concentration divided by 1000 ## ap/nap pollen,,,dimensionless,,pollen,,,N,Ratio of arboreal to non-arboreal pollen ## ap pollen,,,percent,,pollen,,,N,Percent of total pollen that is arboreal ## nap pollen,,,percent,,pollen,,,N,Percent of total pollen that is non-arboreal ## ageMedian age,,,calendar year before present,,pollen,,,N,Median of the age ensemble; created by geoChronR::mapEnsembleToPaleoData() # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # depth pinus artemisia pollen-tot ap/nap ap nap ageMedian 1 65.79 0 27.7 15.89 94.08 5.92 -66.7133985 9 59 0.67 22.93 16.5 94.29 5.71 -53.793047579406 17 58.94 0.38 20.2 9.42 90.4 9.6 -40.3128806067327 25 58.08 0 12.35 12.44 92.56 7.44 -27.8657554780198 33 57.76 0 48.08 9.69 90.65 9.35 2.03891021425775 41 53.88 0 37.75 14.57 93.58 6.42 47.2138396663764 49 58.75 0.42 29.39 9.55 90.52 9.48 249.028349923565 57 61.89 0.3 39.22 14.68 93.62 6.38 490.436633651485 63 60.7 0.5 51.35 14.35 93.48 6.52 666.241525089109 71 57.06 1.02 62.32 11.16 91.78 8.22 867.788118190891 79 55.19 0.59 42.76 13.19 92.95 7.05 998.832377314059 87 53.31 0.55 61.16 19.35 95.09 4.91 1103.92273433346 95 65.38 0 62.36 40.13 97.57 2.43 1214.02170865465 111 59.79 0 74.03 31.1 96.88 3.12 1437.68678722613 119 65.15 0.11 98.99 19.26 95.06 4.94 1585.85824265431 127 58.57 0 60.59 31.29 96.9 3.1 1713.46784326892 143 51.89 0.76 74.24 13.73 93.21 6.79 2017.08881851842 159 53.31 0.35 68.72 11.05 91.7 8.3 2289.83332664039 173 59.29 1.33 82.43 25.43 96.22 3.78 2508.4847843206 189 62.5 0.66 90.99 18.57 94.89 5.11 2799.54069700673 205 59.71 1.08 87.94 19.17 95.04 4.96 3105.23863715604 221 53.55 0.27 109.02 25.25 96.19 3.81 3473.66397844952 237 57.28 0 102.61 20 95.24 4.76 3927.94257356911 253 64.72 0.58 205.2 49.83 98.03 1.97 4384.37750761543 265 74.67 0.33 199.78 32.63 97.03 2.97 4719.34139864464 281 60.37 0.37 314.77 30.86 96.86 3.14 5048.23265888285 295 70.36 0.21 147.31 22 95.65 4.35 5314.83403430416 303 67.6 1.17 171.78 24.79 96.12 3.88 5479.72468972831 311 64.94 0.49 244.63 20.8 95.41 4.59 5650.2923599707 319 66.67 0.3 183.07 55.6 98.23 1.77 5823.5771744907 327 65.34 0.28 451.26 17.93 94.72 5.28 5970.7039389002 335 62.89 0 258.84 24.2 96.03 3.97 6125.97720499921 343 62.53 0 465.94 29.67 96.74 3.26 6311.22345705192 351 71.58 0 202.9 29.69 96.74 3.26 6496.15034335235 359 62.14 0.29 190.85 28.56 96.62 3.38 6648.43760218296 367 60.49 0.74 184.43 21.07 95.47 4.53 6816.9934463802 375 66.99 0 261.35 29.17 96.69 3.31 7026.62068730931 383 60.16 0.26 169.45 20.64 95.38 4.62 7252.57560132 389 69.04 0.45 231.41 36.9 97.36 2.64 7412.6327681885 397 63.19 0.27 195.43 22.42 95.73 4.27 7613.64232062851 405 70.21 0 226.7 22.14 95.68 4.32 7857.02074118534 413 67.16 0.37 521.31 29.6 96.73 3.27 8135.02761665823 421 75.94 0 290.47 14.32 93.47 6.53 8251.24523785941 429 82.01 0 379.03 30.36 96.81 3.19 8392.0682145808 437 66.37 0.44 248.22 30.33 96.81 3.19 8660.19359473029 443 75.76 0.25 211.71 41.75 97.66 2.34 8791.49132246059 451 65.33 0.25 127.06 24.69 96.11 3.89 8964.87135608296 465 46.99 0.38 138.43 12.82 92.77 7.23 9331.95564481109 473 28.92 0.6 91.61 7.19 87.79 12.21 9561.86427348674 481 22.96 1.21 52.6 8.36 89.31 10.69 9783.52565631873 489 16.4 0.32 42.58 2.56 71.94 28.06 10017.8756372753 495 20.21 1.06 30.35 5 83.33 16.67 10207.3043302202 501 10.78 1.2 38.15 3.77 79.05 20.95 10459.4053122281 507 10.13 1.27 40.08 3.23 76.37 23.63 10754.6781368757 515 8.7 0.72 30.18 1.93 65.9 34.1 11135.6364307339 519 8.84 3.03 53.18 1.33 57.01 42.99 nan 523 3.23 5.16 17.27 0.98 49.49 50.51 nan 527 2.78 0 12.98 1.19 54.39 45.61 nan 531 11.34 2.06 23.99 0.54 35 65 nan 535 11.65 2.26 8.23 0.5 33.52 66.48 nan 539 6.61 3.31 3.39 0.52 34.07 65.93 nan 543 12.8 6.4 0.77 0.52 34 66 nan 547 8.67 6.94 2.55 0.67 40 60 nan 555 6.41 8.97 1.28 0.37 27.08 72.92 nan 563 6.35 6.35 1.4 0.65 39.22 60.78 nan 571 8.47 10.17 1.88 0.64 38.89 61.11 nan 579 5.93 13.56 1.78 0.87 46.48 53.52 nan 593 10.61 12.12 1.85 0.64 39.02 60.98 nan 601 4.08 16.33 3.19 0.32 24.14 75.86 nan 609 4.82 6.02 1.37 2.44 70.91 29.09 nan 617 12.7 9.52 3.53 0.89 47.22 52.78 nan 625 23.12 10.98 3.67 1.75 63.64 36.36 nan 641 10.38 5.66 4.98 0.54 35 65 nan 657 0 0 0.01 0 45 55 nan 669 0 0 0 0 55 45 nan 673 33.33 12.5 2.95 1.57 61.11 38.89 nan 677 35.56 11.11 2.7 1.17 53.85 46.15 nan 685 41.03 2.56 6.62 2.22 68.97 31.03 nan 689 22.68 2.06 2.97 1.5 60 40 nan 691 32.93 4.88 10.66 3.5 77.78 22.22 nan 759 30.53 8.42 2.16 2.57 72 28 nan 767 0 0 3.55 1 50 50 nan 771 50 0 5 2.71 73.08 26.92 nan 775 28.57 11.9 1.83 1.35 57.41 42.59 nan 779 37.09 5.16 7.28 3.23 76.37 23.63 nan 783 54.78 1.74 2.78 6.77 87.13 12.87 nan 785 35.44 2.53 5.16 3.92 79.69 20.31 nan