# Goose and Grassy Pond, Ohio River Sediment and Geochemical Data during the last 2000 Years #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/37022 # Landing_Page_Description: NOAA Landing Page of this 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-37022.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Paleolimnology # # Dataset_DOI: 10.25921/3hcj-3q95 # # Science_Keywords: #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/northamerica/usa/ohio/gibson2022/gibson2022-goosea19_nitrogen.txt # Data_Download_Description: NOAA Template File; Nitrogen Data # #--------------------------------------- # Contribution_Date # Date: 2022-11-03 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-04-11 #--------------------------------------- # Title # Study_Name: Goose and Grassy Pond, Ohio River Sediment and Geochemical Data during the last 2000 Years #--------------------------------------- # Investigators # Investigators: Gibson, Derek (https://orcid.org/0000-0001-6129-8902); Bird, Broxton (https://orcid.org/0000-0003-2665-2528); Pollard, Harvie (https://orcid.org/0000-0001-8580-9316); Nealy, Cameron (https://orcid.org/0000-0002-3445-4209); Barr, Robert (https://orcid.org/0000-0002-1866-9840); Escobar, Jaime (https://orcid.org/0000-0001-7775-7130) #--------------------------------------- # Description_Notes_and_Keywords # Description: Flood reconstruction #--------------------------------------- # Publication # Authors: Gibson, D. K., Bird, B. W., Pollard, H. J., Nealy, C. A., Barr, R. C., Escobar, J. # Published_Date_or_Year: 2022-12-15 # Published_Title: Using sediment accumulation rates in floodplain paleochannel lakes to reconstruct climate-flood relationships on the lower Ohio River # Journal_Name: Quaternary Science Reviews # Volume: 298 # Edition: # Issue: # Pages: # Report_Number: 107852 # DOI: 10.1016/j.quascirev.2022.107852 # Online_Resource: # Full_Citation: # Abstract: Late Holocene flood frequencies on the lower Ohio River were investigated using 14C- based sedimentation rates from three floodplain lakes located in Illinois (Avery Lake), Kentucky (Grassy Pond), and Indiana (Goose Pond). Changes in sediment accumulation rates were attributed to variability in the delivery of overbank sediment to each site as controlled by the frequency of Ohio River flooding. Sedimentation rates reached their lowest values in all three lakes between 400 and 1230 CE, indicating a regional reduction in flood frequencies on the lower Ohio River during a period that included the Medieval Climate Anomaly (MCA; ca. 950-1250 CE). Sedimentation rates increased after ca. 1230 CE and remained moderately high through the Little Ice Age (LIA; 1350-1820 CE) until the onset of extensive land clearance during the early 1800s CE. After 1820 CE, sedimentation rates increased further and were higher than any other time during the late Holocene. A comparison of regional paleoclimatic proxies with the above floodplain sedimentation records shows that Ohio River flooding during the late Holocene was responsive to mean-state changes in atmospheric circulation. During the MCA, when clockwise mean-state atmospheric circulation advected southerly moisture from the Gulf of Mexico into the Ohio River Valley primarily in the form of convective rainstorms, flooding on the Ohio River was least frequent. During the LIA, meridional mean-state atmospheric circulation increased the proportion of midcontinental moisture that was sourced from the northern Pacific and Arctic and delivered as snowfall, hence increasing flooding on the Ohio River. We attribute the increase in Ohio River flooding during the LIA to an increase in snowpack volume across the Ohio River Valley and the watershed-scale integration of runoff during spring snowmelt. Following Euro-American land clearance in the early 1800s, flood frequencies decoupled from this relationship and the lower Ohio River became susceptible to frequent flooding, despite a return to southerly and clockwise synoptic atmospheric conditions. These modern climate-flood dynamics are fundamentally different than those of the paleo-record and suggest that land-use changes – such as deforestation, tile draining, and landscape conversion to intensive row crop agriculture – have fundamentally altered the modern Midwestern hydrologic cycle. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Science Foundation # Grant: EAR-1903628 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: The Nature Conservancy # Grant: 2041-002 #--------------------------------------- # Site_Information # Site_Name: Goose Pond # Location: Indiana # Northernmost_Latitude: 37.9068 # Southernmost_Latitude: 37.9068 # Easternmost_Longitude: -87.8384 # Westernmost_Longitude: -87.8384 # Elevation_m: 105 #--------------------------------------- # Data_Collection # Collection_Name: GooseA19_Nitrogen # First_Year: 1979 # Last_Year: 211 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: geochemistry # Notes: #--------------------------------------- # Chronology_Information # Chronology: # # Goose Pond A19 118 118.5 Charcoal Modern 20 AMS Modern Normal # Goose Pond A19 282 282.5 Charcoal 160 15 AMS 150 IntCal20 # Goose Pond A19 286 286.5 Charcoal 205 40 AMS 155 IntCal20 # Goose Pond A19 297 297.5 Charcoal 185 15 AMS 185 IntCal20 # Goose Pond A19 306 306.5 Charcoal 150 15 AMS 220 IntCal20 # Goose Pond A19 353 353.5 Charcoal 175 15 AMS 285 IntCal20 # Goose Pond A19 428 428.5 Charcoal 440 15 AMS 500 IntCal20 # Goose Pond A19 461 461.5 Charcoal 630 15 AMS 595 IntCal20 # Goose Pond A19 528 528.5 Charcoal 815 15 AMS 715 IntCal20 # Goose Pond A19 568 568.5 Charcoal 1445 15 AMS 1280 IntCal20 # Goose Pond A19 594 594.5 Charcoal 1515 15 AMS 1360 IntCal20 # Goose Pond A19 621 621.5 Charcoal 1500 15 AMS 1380 IntCal20 # Goose Pond A19 661 661.5 Charcoal 1555 15 AMS 1410 IntCal20 # Goose Pond A19 698 698.5 Charcoal 1590 15 AMS 1460 IntCal20 # Goose Pond A19 725 725.5 Charcoal 1580 15 AMS 1490 IntCal20 # Goose Pond A19 819 819.5 Charcoal 1690 35 AMS 1550 IntCal20 # Goose Pond A19 844 844.5 Charcoal 1700 15 AMS 1580 IntCal20 # Goose Pond A19 886 886.5 Charcoal 1720 15 AMS 1610 IntCal20 # Goose Pond A19 961 961.5 Charcoal 1745 15 AMS 1690 IntCal20 # Goose Pond A19 979 979.5 Charcoal 1975 15 AMS 1880 IntCal20 # # depth_top #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## depth_cm depth,,,centimeter,,Paleolimnology,,,N, ## age_AD age,,,year Common Era,,Paleolimnology,,,N, ## d15N delta 15N,,,per mil,,Paleolimnology,,,N,d15N normalized to USGS 40 and USGS 41A #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA depth_cm age_AD d15N 55 1979.00 6.20 65 1973.00 6.56 75 1970.00 6.38 85 1967.00 6.55 95 1964.00 6.30 105 1961.00 6.40 115 1958.00 6.51 125 1955.00 6.66 135 1949.00 6.44 145 1943.00 6.35 155 1937.00 6.05 165 1932.00 5.88 175 1925.00 6.16 185 1918.00 6.27 195 1911.00 6.61 205 1905.00 6.61 215 1898.00 6.69 225 1890.50 6.50 235 1883.50 6.82 245 1874.00 6.68 255 1866.00 6.44 265 1857.00 6.01 275 1845.00 6.26 285 1798.00 6.20 295 1772.00 6.07 305 1738.00 5.84 315 1722.00 5.46 325 1710.00 4.99 335 1697.00 4.14 345 1684.00 2.70 353 1671.00 4.99 363 1641.00 3.08 373 1610.00 2.58 383 1579.00 2.69 393 1548.00 2.68 403 1517.00 2.33 413 1487.00 2.34 423 1456.00 2.66 433 1427.00 2.87 443 1403.00 3.13 453 1379.00 3.15 463 1352.00 3.15 473 1331.00 3.18 483 1310.00 3.10 493 1292.00 3.09 503 1274.00 3.07 513 1257.00 2.92 523 1241.00 3.03 533 1146.00 3.10 543 996.00 2.91 553 845.00 3.44 563 694.00 3.45 573 616.00 4.07 583 600.00 4.27 593 584.00 3.99 603 574.00 4.07 613 567.00 4.09 623 558.00 4.27 633 551.00 4.13 643 546.00 3.79 653 540.00 4.04 663 532.00 3.89 673 524.00 4.15 683 516.00 4.17 693 507.00 5.10 703 494.00 4.48 713 480.00 4.59 723 467.00 4.45 733 449.00 4.23 743 432.00 4.11 753 421.00 4.52 763 416.00 3.94 773 411.00 3.96 783 407.00 3.97 793 402.00 4.08 803 398.00 3.69 813 393.00 4.13 823 382.00 4.28 833 371.00 3.69 843 358.00 3.59 853 351.00 3.89 863 346.00 3.83 873 340.00 3.80 883 333.00 3.68 893 326.00 3.77 903 319.00 3.75 913 313.50 3.88 923 307.00 3.92 933 301.00 3.75 943 294.00 3.77 953 272.00 3.89 963 211.00 3.78