# 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_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: 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_GrainSize # First_Year: 2018 # Last_Year: 252 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: physical properties # 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, ## 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 2018 12.89 69.055821 18.056166 10 2011 29.07 70.850325 0.084581 20 2004 21.10 78.360598 0.537809 30 1997 33.76 66.128244 0.116288 40 1990 39.03 60.971049 0 50 1983 9.68 42.124366 48.19493 117 1956 36.19 62.696181 1.117237 127 1936 50.14 48.85835 0.997192 137 1901 49.24 50.764185 0 147 1878 49.16 49.215869 1.619715 200 1850 4.66 7.807501 87.528025 210 1845 29.77 70.227255 0 220 1840 8.20 12.642281 79.15568 230 1835 45.10 54.739579 0.1606 240 1829 27.06 30.752243 42.18999 250 1824 36.81 58.969476 4.224607 260 1819 23.28 41.583624 35.140487 270 1813 31.61 46.883617 21.503903 280 1807 16.04 24.816147 59.14191 290 1778 32.20 44.848054 22.948387 300 1756 37.04 44.608149 18.355923 310 1729 36.23 45.755826 18.016265 320 1716 40.57 56.829476 2.597968 330 1704 45.81 52.983375 1.207581 340 1691 37.92 59.117449 2.964918 350 1678 40.22 48.073375 11.711383 360 1650 42.59 57.161909 0.250742 370 1619 32.46 57.27314 10.269077 380 1588 43.56 56.444901 0 390 1557 33.79 61.372034 4.835843 400 1531 31.96 57.216388 10.823603 410 1500 15.19 76.758243 8.050351 420 1470 28.73 71.273856 0 430 1439 12.75 69.45256 17.801809 440 1415 26.42 73.584638 0 450 1391 24.76 68.726914 6.510236 460 1366 29.13 70.703541 0.166169 470 1342 28.81 45.110883 480 1320 42.53 54.458053 3.012697 490 1301 38.58 61.230102 0.194692 500 1282 31.54 67.584519 0.880294 510 1264 28.43 71.184194 0.389954 520 1247 28.32 69.815552 1.868539 530 1197 26.84 62.937803 10.225094 535 1123 22.40 69.431595 8.171065 545 978 28.19 60.590488 11.222968 550 897 19.60 60.285151 19.072333 555 822 25.42 74.434541 0.14202 560 747 20.03 74.743528 5.225541 565 672 27.68 70.99717 1.324894 580 606 14.13 56.384045 27.945341 590 590 17.97 58.690515 22.523556 600 577 27.58 72.422096 0 610 569 23.89 73.908362 2.206501 620 561 11.47 78.667021 9.866205 630 553 23.80 70.678336 5.524286 640 547 27.80 68.519728 3.683405 650 542 19.46 76.174397 4.369213 660 535 22.12 75.364168 2.519454 670 527 14.47 78.79035 6.742106 680 518 22.24 75.363253 2.394674 690 510 24.44 73.663741 1.891744 700 500 28.59 70.870233 0.538199 710 486 32.55 67.446057 0 720 472 23.96 71.619185 4.419412 730 454 25.31 73.176973 1.515203 740 437 24.11 74.163277 1.727384 750 423 19.68 77.195155 3.12919 760 417 22.93 73.958435 3.116026 770 413 25.79 72.16103 2.045596 780 408 27.13 71.03334 1.835767 790 404 26.97 71.723003 1.308446 800 399 5.57 36.155745 58.278609 810 395 1.18 12.236277 86.588116 820 386 7.56 50.657979 41.780514 830 374 15.78 51.537061 32.679232 840 363 14.55 69.984851 15.460871 850 353 13.25 39.318156 47.434838 860 347 21.18 74.472924 4.348253 870 342 14.75 59.025799 26.228867 880 335 17.94 49.301209 32.757252 890 327 12.63 63.564267 23.801799 900 321 22.31 74.032807 3.660933 910 315 32.46 67.541484 0 920 309 24.43 74.159045 1.412361 930 303 26.89 69.761935 3.343221 940 296 21.61 74.623673 3.763143 950 278 17.15 77.454568 5.395156 960 276 26.98 73.020074 0 970 268 13.63 53.343197 33.029622 980 260 10.96 32.531612 56.512933 990 252 8.07 24.338421 67.593846