# 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-grassyd19_grainsize.txt # Data_Download_Description: NOAA Template File; Grain Size 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: Grassy Pond # Location: Kentucky # Northernmost_Latitude: 37.8915 # Southernmost_Latitude: 37.8915 # Easternmost_Longitude: -87.9037 # Westernmost_Longitude: -87.9037 # Elevation_m: 105 #--------------------------------------- # Data_Collection # Collection_Name: GrassyD19_GrainSize # First_Year: 2019 # Last_Year: 436 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: physical properties # Notes: #--------------------------------------- # Chronology_Information # Chronology: # # Grassy Pond D19 1 1 NaN -69 0 Interface -69 NaN # Grassy Pond D19 170 170.5 NaN 100 20 Pb Pollution 90 NaN # Grassy Pond D19 207.5 208 Charcoal 125 15 AMS 140 IntCal20 # Grassy Pond D19 312.5 313 Charcoal 180 15 AMS 270 IntCal20 # Grassy Pond D19 367 367.5 Charcoal 300 15 AMS 400 IntCal20 # Grassy Pond D19 454 454.5 Charcoal 810 15 AMS 705 IntCal20 # Grassy Pond D19 509.5 510 Charcoal 1100 20 AMS 990 IntCal20 # Grassy Pond D19 561.5 562 Charcoal 1245 15 AMS 1160 IntCal20 # Grassy Pond D19 706 706.5 Charcoal 1470 15 AMS 1320 IntCal20 # Grassy Pond D19 864.5 865 Charcoal 1480 20 AMS 1365 IntCal20 # Grassy Pond D19 943 943.5 Charcoal 1540 15 AMS 1410 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, ## Clay Clay,,,percent ,,Paleolimnology,,,N,% clay abundance ## Silt Silt,,,percent ,,Paleolimnology,,,N,% silt abundance ## Sand Sand,,,percent ,,Paleolimnology,,,N,% sand abundance #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA depth_cm age_AD Clay Silt Sand 0 2019 20.27 75.270908 5.603724 10 2010 20.83 73.449105 6.882025 20 1999 23.84 74.677314 2.578759 30 1990 30.80 68.450472 0.914583 40 1981 28.91 68.828879 3.344506 50 1971 21.41 77.348987 2.361965 52 1972 44.90 52.762891 2.435172 60 1963 49.10 49.574917 1.504851 70 1954 48.87 50.936757 0.239005 80 1944 42.76 57.108851 0.267347 90 1935 43.52 55.560135 1.122171 100 1925 49.41 50.368646 0.304563 110 1916 44.98 54.299559 1.111806 120 1907 99.42 0.575724 0 130 1897 49.41 50.392457 0.39005 136 1893 42.62 57.137404 0.441255 140 1888 49.29 50.711359 0.036831 150 1878 35.89 63.157258 1.663266 160 1869 30.07 61.339596 9.899803 170 1860 28.09 62.762232 10.520342 180 1851 38.47 57.985292 4.641591 190 1841 27.94 70.986192 1.642155 202 1833 28.58 66.997319 6.18626 220 1815 39.18 59.55403 1.605679 240 1795 51.49 46.019226 2.859057 250 1785 41.26 58.114496 0.902579 260 1769 39.00 59.866316 1.701394 270 1751 36.65 62.794077 0.961009 280 1732 33.79 65.396867 1.23166 300 1696 18.25 53.815477 1.1739625 310 1678 40.21 59.038879 1.093888 320 1660 34.05 65.104393 1.174825 330 1632 33.82 65.238397 1.299973 340 1603 33.70 65.660659 1.041004 350 1574 28.64 69.07516 2.718182 360 1545 28.54 69.764246 2.138843 370 1517 31.20 68.092759 1.042054 380 1489 28.51 70.764659 1.06911 400 1433 27.47 71.976481 0.916752 410 1405 28.54 70.754016 1.183404 420 1377 27.72 69.652049 3.336443 430 1350 28.59 70.245458 1.696814 440 1322 29.28 69.466946 1.821587 450 1294 29.09 69.333906 2.297759 460 1266 28.36 69.761125 2.793486 470 1223 18.92 78.77438 3.9874 480 1117 24.72 74.288626 1.964085 490 1010 21.33 76.210234 3.791367 500 938 21.37 75.920284 4.031057 510 923 23.63 71.811073 5.645666 520 903 21.09 72.340882 7.987148 530 873 20.84 72.917819 6.969244 540 841 27.01 72.544402 0.774527 550 808 23.56 74.447955 3.009439 560 776 18.13 76.479588 7.038273 570 740 23.15 74.620419 2.443543 580 726 21.75 71.273463 7.958418 590 719 21.73 77.958049 0.575905 600 710 12.46 74.165894 16.665928 610 703 12.67 66.829651 24.236845 620 695 16.20 78.729946 8.011933 630 686 17.06 80.250718 4.174455 640 678 21.21 74.60183 5.571876 650 669 10.04 70.51683 24.56067 660 660 18.12 75.987823 8.789506 670 652 14.42 79.721349 9.152083 680 643 22.69 75.08744 3.602045 690 635 23.88 70.256328 8.047042 700 623 21.77 78.14256 0.965874 710 611 17.30 74.806888 11.272377 720 605 22.15 76.454042 2.951735 730 601 17.65 73.244652 12.132384 740 596 15.85 83.718228 1.249114 750 590 27.70 69.698455 3.166013 760 588 15.24 77.111094 11.342108 770 587 18.95 76.193694 7.398445 780 586 17.71 78.708014 6.210572 790 585 15.04 78.633349 9.627825 800 584 20.12 74.872179 7.665308 810 583 11.08 77.298222 16.85488 820 582 21.71 76.023891 3.403985 830 581 25.33 67.4101 8.440205 840 580 14.46 59.055629 31.852781 850 578 17.80 78.179161 7.156173 860 577 18.43 66.089352 18.654089 870 570 11.33 75.020174 17.876428 880 564 15.42 53.634194 33.637257 890 546 18.87 61.314242 22.900199 900 525 19.95 73.075758 8.569377 910 506 14.47 55.445797 35.732851 920 405 24.50 75.221835 0.955776 930 403 22.90 75.469998 3.31546 940 401 25.431225 74.568776 0.063191 950 436 48.815808 43.787225 9.241767