# Weeks Bay, Alabama Diatom, Stable Isotope, Lithology and Trace Metal Data over the last 7000 years #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/30472 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/contributions_by_author/minzoni2020-diatoms.txt # Description: NOAA location of the template # # # Data_Type: Paleoceanography # # Dataset_DOI: # # Parameter_Keywords: carbon isotopes, nitrogen isotopes, lithology, geochemistry, population abundance, age control #--------------------------------------- # Contribution_Date # Date: 2020-07-14 #--------------------------------------- # File_Last_Modified_Date # Date: 2020-07-14 #--------------------------------------- # Title # Study_Name: Weeks Bay, Alabama Diatom, Stable Isotope, Lithology and Trace Metal Data over the last 7000 years #--------------------------------------- # Investigators # Investigators: Minzoni, Rebecca Totten; Parker, Lauren E.; Wallace, Davin J.; Lambert, W. Joe; Elliott, Emily A.; Andrus, C. Fred T.; Lehrmann, Asmara A. #--------------------------------------- # Description_Notes_and_Keywords # Description: absolute diatom abundance in conjunction with d15N and d13C was used to study ecological feedbacks; grain size from LPSA was used to reconstruct floods over last 7,000 years # Provided Keywords: Paleoenvironment; Estuary; Nutrients; Algal blooms; Diatoms #--------------------------------------- # Publication # Authors: Minzoni, Rebecca Totten, Lauren E. Parker, Davin J. Wallace, W. Joe Lambert, Emily A. Elliott, C. Fred T. Andrus, and Asmara A. Lehrmann # Published_Date_or_Year: 2020 # Published_Title: A 7000-year record of floods and ecological feedbacks in Weeks Bay, Alabama, USA # Journal_Name: Science of The Total Environment # Volume: 743 # Edition: # Issue: ISSN 0048-9697 # Pages: # Report_Number: 140052 # DOI: 10.1016/j.scitotenv.2020.140052 # Online_Resource: http://www.sciencedirect.com/science/article/pii/S0048969720335725 # Full_Citation: # Abstract: Climate change, sea-level rise, and human activities present major concerns for coastal environments. Paleoenvironmental records allow us to extend the instrumented record and study recent environmental impacts in a long-term context with natural pre-industrial conditions. Here, we investigate grain size, stable carbon (d13C) and nitrogen (d15N) isotopes, elemental composition, and diatom abundance in sediments to construct a 7000-year paleoenvironmental history of Weeks Bay, Alabama, a NOAA National Estuarine Research Reserve. Four major floods of the Fish River since 1986 CE are independently identified in the Weeks Bay sediment record, validating the bay setting as an archive of flood events. Thirty-four flood events were identified over the last 5000 years, with two periods of intense flood activity coinciding with the Medieval Climate Anomaly and the Little Ice Age, indicating association of relatively short-term climate events and enhanced storm activity. Further, multiple paleoenvironmental proxies indicate marine conditions during formation of the bay ~6600 calendar years Before Present (cal yr BP) and a brackish transition as the estuary became restricted ~2000 cal yr BP. High total organic carbon/nitrogen values indicate nitrogen limitation in Weeks Bay. Increase in organic content, diatoms, and redox- and nutrient-associated elemental proxies over the last 300 years, with dramatic increase in algal abundance since the 1980s, strongly suggest that human activities (i.e. land clearing, agriculture) increased ecological feedbacks in the bay. Comparing past and present environmental conditions of coastal estuaries advances our understanding of estuarine response to climate change and sea-level, floods, and human activities, which is important for environmental management and wetland conservation policy. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #--------------------------------------- # Site_Information # Site_Name: Weeks Bay, Alabama # Location: Gulf of Mexico # Northernmost_Latitude: 30.39522 # Southernmost_Latitude: 30.39522 # Easternmost_Longitude: -87.83191 # Westernmost_Longitude: -87.83191 # Elevation: -2.8 #--------------------------------------- # Data_Collection # Collection_Name: WB-18-01 and 02 diatoms Minzoni2020 # First_Year: # Last_Year: # Time_Unit: # Core_Length: 5.7 # Notes: duplicate cores WB-18-01 and WB-18-02 taken in same location #--------------------------------------- # Chronology_Information # Chronology: # # depth_top Depth top of sample interval (cm) # depth_bottom Depth bottom of sample interval (cm) # mat.dated Material Dated # D14C radiocarbon concentrations given as fractions of the modern standard, D14C and conventional age following Stuvier and Polach, 1977 # D14C_err radiocarbon concentrations given as fractions of the modern standard, D14C and conventional age following Stuvier and Polach, 1977 # 14C.raw conventional radiocarbon age, years before 1950AD # 14C.raw_err radiocarbon age, standard error # datemeth Dating method # reservoir Reservoir correction # age_model_calibration_avg Average modeled age by BACON software # age_model_err_up Modeled age upper error with BACON # age_model_err_lo Modeled age lower error with BACON # calib_method Calibration method # rejected Rejected sample (yes/no) # notes Notes # # Labcode depth_top depth_bottom mat.dated D14C D14C_err 14C.raw 14C.raw_err datemeth reservoir age_model_calibration_avg age_model_err_up age_model_err_lo calib_method rejected notes # NaN 0 0 Surface NaN NaN NaN NaN assumption NaN -68 NaN NaN BACON No All data published by Minzoni et al. in STOTEN journal, in press, 2020 # USM-SOSE 14 16 Cs-137 NaN NaN NaN NaN 137Cs Gamma Spec NaN -13 6 6 BACON No All data published by Minzoni et al. in STOTEN journal, in press, 2020 # UCI-217966 19 19 Shell 13.1 2.5 modern NaN 14C AMS NaN NaN NaN NaN BACON No modern/post-bomb ages could not be fully incorporated in the BACON age-depth model # UCI-217967 52 52 Shell 17.5 2.2 modern NaN 14C AMS NaN NaN NaN NaN BACON No modern/post-bomb ages could not be fully incorporated in the BACON age-depth model # UCI-217968 68 68 Shell 148.5 2.6 modern NaN 14C AMS NaN NaN NaN NaN BACON No modern/post-bomb ages could not be fully incorporated in the BACON age-depth model # UCI-217978 352 353 Wood -428.5 1.2 4495 20 14C AMS Intcal13 5012 456 167 BACON No All data published by Minzoni et al. in STOTEN journal, in press, 2020 (Intcal from Reimer et al. 2013) # UCI-217979 563 565 Wood -513.9 1 5795 20 14C AMS Intcal13 6620 94 102 BACON No All data published by Minzoni et al. in STOTEN journal, in press, 2020 (Intcal from Reimer et al. 2013) # #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## depth_cm depth,sediment,,centimeter,,paleoceanography,,,N, ## tot_diatom total diatoms,sediment ,,count per gram,,paleoceanography,raw,microscopy,N,million valves per gram of dried sediment #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: depth_cm tot_diatom 0 15.8170917 10 5.62754647 20 4.51026673 30 4.59228472 40 4.53841521 50 3.28328196 60 2.74037913 70 0.96475315 80 1.95280006 90 1.15282616 100 0.57670572 110 0.43181732 120 1.27507402 130 0.48462784 140 0.26331428 150 0.32641918 160 0.18072751 170 0.1452616 180 0.00158826 190 0 200 0.00786834