# Waccamaw/Savannah River Wetlands Late Holocene Multiproxy Sediment Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # 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. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/26690 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/paleolimnology/northamerica/usa/georgia/savannah2017pollen12-12-10-3.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology # # Dataset DOI: # # Parameter_Keywords: geochemistry, physical properties, population abundance #-------------------- # Contribution_Date # Date: 2019-05-01 #-------------------- # File_Last_Modified_Date # Date: 2019-05-01 #-------------------- # Title # Study_Name: Waccamaw/Savannah River Wetlands Late Holocene Multiproxy Sediment Data #-------------------- # Investigators # Investigators: Jones, M.C.; Bernhardt, C.E.; Krauss, K.W.; Noe, G.B. #-------------------- # Description_Notes_and_Keywords # Description: Multiproxy (pollen, plant macrofossils, sediment accretion, and carbon accumulation) data from river wetlands sediment cores. # Cores are from 2 transects ranging from tidal freshwater forested wetlands (TFFW) to oligohaline marsh, along the Waccamaw and Savannah # Rivers (South Carolina and Georgia, USA) for the late Holocene (~6,000 - 1,500 years BP). #-------------------- # Publication # Authors: Miriam C. Jones, Christopher E. Bernhardt, Ken W. Krauss, Gregory B. Noe # Published_Date_or_Year: 2017-12-01 # Published_Title: The Impact of Late Holocene Land Use Change, Climate Variability, and Sea Level Rise on Carbon Storage in Tidal Freshwater Wetlands on the Southeastern United States Coastal Plain # Journal_Name: Journal of Geophysical Research Biogesciences # Volume: 122 # Edition: # Issue: 12 # Pages: 3126-3141 # Report_Number: # DOI: 10.1002/2017JG004015 # Online_Resource: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JG004015 # Full_Citation: # Abstract: This study examines Holocene impacts of changes in climate, land use, and sea level rise (SLR) on sediment accretion, carbon accumulation rates (CAR), and vegetation along a transect of tidal freshwater forested wetlands (TFFW) to oligohaline marsh along the Waccamaw River, South Carolina (four sites) and along the Savannah River, Georgia (four sites). We use pollen, plant macrofossils, accretion, and CAR from cores, spanning the last 1,500-6,000 years to test the hypothesis that TFFW have remained stable throughout the late Holocene and that marshes transitioned from TFFW during elevated SLR during the Medieval Climate Anomaly, with further transformation resulting from colonial land use change. Results show low and stable accretion and CAR through much of the Holocene, despite moderate changes associated with Holocene paleoclimate. In all records, the largest observed change occurred within the last ~400 years, driven by colonial land clearance, shifting terrigenous sediment into riparian wetlands, resulting in order-of-magnitude increases in accretion and C accumulation. The oligohaline marshes transitioned from TFFW ~300-500 years ago, coincident with colonial land clearance. Postcolonial decreases in CAR and accretion occur because of watershed reforestation over the last century. All sites show evidence of recent (decades to century) swamp forest decline due to increasing salinity and tidal inundation from SLR. This study suggests that allochthonous sediment input during colonialization helped maintain TFFW but that current SLR rates are too high for TFFW to persist, although higher accretion rates in oligohaline marshes increase the resilience of tidal wetlands as they transition from TFFW to marsh. #------------------ # Funding_Agency # Funding_Agency_Name: United States Geological Survey # Grant: Climate and Land Use Change R&D #------------------ # Site_Information # Site_Name: Savannah12-12-10-3 # Location: North America>United States Of America>Georgia # Country: United States Of America # Northernmost_Latitude: 32.17 # Southernmost_Latitude: 32.17 # Easternmost_Longitude: -81.14 # Westernmost_Longitude: -81.14 # Elevation: #------------------ # Data_Collection # Collection_Name: Savannah12-12-10-3pollen # Earliest_Year: 5820 # Most_Recent_Year: -61 # Time_Unit: Cal. Year BP # Core_Length: 3.48 # Notes: Oligohaline Marsh #------------------ # Chronology_Information # Chronology: # Lab_ID depth_cm age_14C 14C error Material dated # Beta-381816 109-110 160 30 Bulk organic, picked free of roots # Beta-381817 178-180 2010 30 Bulk organic, picked free of roots # Beta-381818 269-270 3880 30 Bulk organic, picked free of roots # Beta-381820 346-347 5060 30 Bulk organic, picked free of roots # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## depth_cm depth, , , cm, , , , ,C, Depths are midpoints ## Pinus Pinus, sediment, , count, ,Pollen,,,N, ## Carya Carya, sediment, , count, ,Pollen,,,N, ## Quercus Quercus, sediment, , count, ,Pollen,,,N, ## Liquidambar Liquidambar, sediment, , count, ,Pollen,,,N, ## Tsuga Tsuga, sediment, , count, ,Pollen,,,N, ## Picea Picea, sediment, , count, ,Pollen,,,N, ## Betula Betula, sediment, , count, ,Pollen,,,N, ## Salix Salix, sediment, , count, ,Pollen,,,N, ## Nyssa Nyssa, sediment, , count, ,Pollen,,,N, ## Ulmus Ulmus, sediment, , count, ,Pollen,,,N, ## Juglans Juglans, sediment, , count, ,Pollen,,,N, ## Ostrya/Carpinus Ostrya/Carpinus, sediment, , count, ,Pollen,,,N, ## Fagus Fagus, sediment, , count, ,Pollen,,,N, ## Myrica Myrica, sediment, , count, ,Pollen,,,N, ## Alnus Alnus, sediment, , count, ,Pollen,,,N, ## Acer Acer, sediment, , count, ,Pollen,,,N, ## Liriodendron Liriodendron, sediment, , count, ,Pollen,,,N, ## Magnolia Magnolia, sediment, , count, ,Pollen,,,N, ## Fraxinus Fraxinus, sediment, , count, ,Pollen,,,N, ## TCT TCT, sediment, , count, ,Pollen,,,N, ## Ilex Ilex, sediment, , count, ,Pollen,,,N, ## Poaceae Poaceae, sediment, , count, ,Pollen,,,N, ## Zea Zea, sediment, , count, ,Pollen,,,N, ## Amaranthaceae Amaranthaceae, sediment, , count, ,Pollen,,,N, ## Ambrosia Ambrosia, sediment, , count, ,Pollen,,,N, ## Asteraceae indet. Asteraceae indet., sediment, , count, ,Pollen,,,N, ## Fabaceae Fabaceae, sediment, , count, ,Pollen,,,N, ## Cyperaceae Cyperaceae, sediment, , count, ,Pollen,,,N, ## Nuphar Nuphar, sediment, , count, ,Pollen,,,N, ## Ericaceae Ericaceae, sediment, , count, ,Pollen,,,N, ## Typha Typha, sediment, , count, ,Pollen,,,N, ## Polygonaceae Polygonaceae, sediment, , count, ,Pollen,,,N, ## Onagraceae Onagraceae, sediment, , count, ,Pollen,,,N, ## Polygalaceae Polygalaceae, sediment, , count, ,Pollen,,,N, ## Solanaceae Solanaceae, sediment, , count, ,Pollen,,,N, ## Parthenocissus Parthenocissus, sediment, , count, ,Pollen,,,N, ## Apiaceae Apiaceae, sediment, , count, ,Pollen,,,N, ## Schinus Schinus, sediment, , count, ,Pollen,,,N, ## Rhus Rhus, sediment, , count, ,Pollen,,,N, ## Cichorieae Cichorieae, sediment, , count, ,Pollen,,,N, ## Lonicera Lonicera, sediment, , count, ,Pollen,,,N, ## Malvaceae Malvaceae, sediment, , count, ,Pollen,,,N, ## Sagittaria Sagittaria, sediment, , count, ,Pollen,,,N, ## Impatiens Impatiens, sediment, , count, ,Pollen,,,N, ## Lantana Lantana, sediment, , count, ,Pollen,,,N, ## Ranunculaceae Ranunculaceae, sediment, , count, ,Pollen,,,N, ## Pontederiaceae Pontederiaceae, sediment, , count, ,Pollen,,,N, ## Tillandsia Tillandsia, sediment, , count, ,Pollen,,,N, ## Vitis Vitis, sediment, , count, ,Pollen,,,N, ## Corylus Corylus, sediment, , count, ,Pollen,,,N, ## Lemna Lemna, sediment, , count, ,Pollen,,,N, ## Waltheria Waltheria, sediment, , count, ,Pollen,,,N, ## Verbenaceae Verbenaceae, sediment, , count, ,Pollen,,,N, ## Tilia Tilia, sediment, , count, ,Pollen,,,N, ## Thalictrum Thalictrum, sediment, , count, ,Pollen,,,N, ## Platanus Platanus, sediment, , count, ,Pollen,,,N, ## PC0 PC0, sediment, , count, ,Pollen,,,N, ## PC3 PC3, sediment, , count, ,Pollen,,,N, ## P03 P03, sediment, , count, ,Pollen,,,N, ## SC0 SC0, sediment, , count, ,Pollen,,,N, ## SA0 SA0, sediment, , count, ,Pollen,,,N, ## Pteris Pteris, sediment, , count, ,Pollen,,,N, ## Osmunda Osmunda, sediment, , count, ,Pollen,,,N, ## Unknown/Crumpled Unknown/Crumpled, sediment, , count, ,Pollen,,,N, ## Total Total, sediment, , count, ,Pollen,,,N, ## Lycopodium (exotic) Lycopodium (exotic), sediment, , count, ,Pollen,,,N, ## Weight (g) Weight, sediment, , g, ,Pollen,,,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # depth_cm Pinus Carya Quercus Liquidambar Tsuga Picea Betula Salix Nyssa Ulmus Juglans Ostrya/Carpinus Fagus Myrica Alnus Acer Liriodendron Magnolia Fraxinus TCT Ilex Poaceae Zea Amaranthaceae Ambrosia Asteraceae indet. Fabaceae Cyperaceae Nuphar Ericaceae Typha Polygonaceae Onagraceae Polygalaceae Solanaceae Parthenocissus Apiaceae Schinus Rhus Cichorieae Lonicera Malvaceae Sagittaria Impatiens Lantana Ranunculaceae Pontederiaceae Tillandsia Vitis Corylus Lemna Waltheria Verbenaceae Tilia Thalictrum Platanus PC0 PC3 P03 SC0 SA0 Pteris Osmunda Unknown/Crumpled Total Lycopodium (exotic) Weight (g) 5.5 208 11 47 12 0 0 0 0 9 5 0 1 0 9 0 1 0 0 1 0 1 14 0 9 11 7 0 2 0 0 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 1 359 13 1.67 10.5 199 11 51 7 0 0 0 0 4 2 1 0 0 10 0 1 0 0 0 0 1 14 0 13 6 8 0 0 0 0 10 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 2 1 347 14 0.94 15.5 153 10 54 4 0 0 0 0 5 2 0 2 0 12 2 0 0 0 0 0 0 10 0 12 4 13 2 1 0 0 9 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2 2 0 0 0 1 2 305 20 1.58 20.5 131 8 5 9 1 0 0 1 4 3 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 118 0 0 0 0 5 3 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 304 37 0.24 25.5 147 10 33 8 0 0 2 0 8 2 1 1 0 15 0 2 0 1 0 0 0 40 0 2 8 47 7 5 0 0 2 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 9 0 0 4 359 74 0.44 30.5 13 7 22 5 0 0 0 0 2 4 0 1 0 9 2 2 0 0 2 0 1 98 0 1 5 14 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 1 199 40 0.68 35.5 111 3 29 2 0 0 0 0 1 2 0 0 0 12 2 0 0 1 0 0 0 112 0 2 0 23 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 4 0 0 1 310 26 1.1 40.5 101 4 32 6 0 0 0 0 7 0 0 0 0 13 2 1 0 0 1 0 11 116 0 4 6 11 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 5 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 332 11 1.11 45.5 80 1 17 1 0 0 1 0 5 2 0 1 1 6 0 0 0 0 0 1 1 130 0 3 8 4 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 267 12 1.99 50.5 70 6 22 10 0 0 1 0 6 4 0 0 0 8 4 0 0 0 0 0 0 171 0 7 6 4 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 3 0 0 3 332 17 1.48 55.5 71 3 26 4 0 0 0 0 1 1 0 0 0 5 1 0 0 0 1 0 0 183 0 0 1 9 0 8 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 1 1 325 34 1.55 60.5 85 2 21 8 0 0 0 0 3 1 0 0 0 5 7 0 0 0 0 0 0 162 0 5 5 11 0 3 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 323 8 2.52 65.5 166 2 21 9 0 0 1 0 3 3 0 1 0 7 0 0 0 0 0 0 0 99 0 2 8 25 0 4 0 0 1 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 1 366 15 3.2 70.5 56 2 26 2 0 0 0 0 3 1 0 1 0 9 5 0 0 0 0 0 1 184 0 1 3 13 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 1 3 320 4 4.57 75.5 50 4 23 5 0 0 0 0 2 2 1 0 0 5 1 0 0 0 1 0 0 160 0 5 5 10 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 277 72 3.83 80.5 83 3 7 2 0 0 0 0 1 5 0 1 0 0 3 0 0 0 1 0 0 174 0 4 8 17 0 2 0 0 0 1 0 0 0 1 0 0 0 0 0 0 3 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 322 5 5.28 85.5 51 1 7 0 0 0 0 0 0 1 0 0 0 3 1 0 0 0 0 0 0 160 0 3 1 11 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 240 6 3.21 90.5 77 1 10 4 0 0 0 0 3 2 0 0 0 5 0 0 0 0 2 0 0 196 0 1 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 329 5 4.2 100.5 66 3 10 3 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 1 0 209 0 4 8 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 319 9 4.41 105.5 178 8 9 8 0 0 0 0 16 1 0 2 0 0 0 0 1 0 0 0 0 50 0 2 12 14 0 2 0 0 0 15 0 0 0 0 0 0 0 0 0 0 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 0 0 349 15 5.39 110.5 127 6 3 3 0 0 0 0 27 0 0 0 0 1 0 0 0 0 0 0 0 110 0 0 0 20 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 6 315 5 5.88 115.5 73 4 3 3 0 0 1 0 35 0 0 0 0 0 0 0 2 0 0 0 0 145 0 1 4 16 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1 309 7 8.49 120.5 99 5 3 6 0 0 0 0 30 0 0 1 0 0 0 0 3 0 0 0 0 122 0 0 0 9 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 294 9 5.52 125.5 107 14 8 7 0 0 0 0 90 1 0 1 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 83 0 2 2 326 21 9.08 130.5 156 22 6 6 0 0 0 0 87 3 0 0 0 2 0 0 2 0 0 0 0 9 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 1 36 0 10 6 354 17 5.32 135.5 206 29 6 21 0 0 0 0 94 3 0 0 0 1 0 0 6 0 0 0 0 7 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 377 7 8.63 140.5 174 20 22 2 0 0 0 0 91 1 0 0 0 1 0 2 4 2 2 0 0 5 0 0 1 1 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 1 335 7 4.78 145.5 209 12 3 15 0 0 1 0 108 2 0 0 0 1 0 0 3 0 0 1 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 367 29 3.2 150.5 224 18 4 5 0 0 0 1 65 1 0 0 0 0 0 0 6 0 0 0 0 2 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 0 3 2 338 13 3.09 155.5 243 9 9 12 0 0 0 0 55 4 0 0 0 3 0 0 18 0 1 0 0 7 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 368 33 2.73 160.5 211 10 13 10 0 0 0 0 48 8 0 0 0 5 0 0 10 0 0 0 1 5 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 3 331 8 2.66 165.5 234 6 10 5 0 0 0 0 26 8 0 0 0 1 1 0 43 0 1 0 0 1 0 0 0 2 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 2 0 347 33 2.58 170.5 212 6 12 5 0 0 0 2 41 3 0 1 0 3 0 0 18 4 2 0 0 2 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 3 0 1 3 327 8 1.8 185.5 214 15 8 6 0 0 0 0 48 2 0 1 0 0 0 1 14 0 1 0 0 13 0 0 0 5 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 1 1 337 203 1.06 190.5 207 13 5 4 0 0 0 0 66 0 0 0 0 1 1 0 6 1 0 0 1 3 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 2 0 0 2 321 18 1.66 195.5 231 4 9 7 0 0 1 0 88 0 0 0 0 2 1 0 0 0 0 0 0 6 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 1 0 357 8 4.13 200.5 300 18 4 8 0 0 0 0 51 0 0 0 0 2 0 0 1 0 1 0 0 10 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 4 0 1 0 407 13 2.07 205.5 211 12 6 6 0 0 0 0 63 1 0 2 0 6 2 0 1 0 1 0 0 4 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 1 5 0 2 0 328 16 2.7 210.5 205 13 5 15 0 0 0 0 42 2 0 3 0 3 0 0 2 0 1 1 0 2 0 6 0 8 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 7 0 1 6 327 30 3.83 215.5 141 14 13 15 0 0 0 0 104 9 0 0 0 2 2 0 0 0 0 0 1 15 0 5 0 2 0 0 0 1 0 2 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 8 0 0 0 1 1 0 0 20 0 3 1 362 98 5.16 225.5 229 12 9 6 0 0 0 0 56 1 0 1 0 2 0 0 1 0 0 0 0 2 0 1 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 6 0 1 0 333 23 3.26 230.5 213 12 10 9 0 0 1 0 44 4 0 1 0 4 1 1 0 0 1 0 1 6 0 1 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 4 1 0 4 0 1 6 336 12 5.11 235.5 145 11 10 19 0 0 0 0 83 3 0 3 0 5 2 1 0 0 3 0 1 4 0 5 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 6 0 0 0 0 0 0 0 16 0 2 0 322 29 5.9 240.5 187 17 17 5 0 0 1 1 56 2 0 2 0 1 6 0 0 0 0 0 0 4 0 1 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 4 0 1 4 320 28 5.19 245.5 179 10 10 8 0 0 0 0 112 2 0 0 0 1 2 1 1 0 0 0 0 3 0 3 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 11 0 1 1 354 23 7.16 250.5 205 5 11 6 0 0 0 0 45 2 0 6 0 3 0 0 0 0 8 0 0 6 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 1 0 305 15 3.28 255.5 238 10 5 3 0 0 0 0 82 2 0 1 0 0 0 0 1 0 5 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 12 0 0 0 365 14 5.4 260.5 177 4 13 3 0 0 0 0 64 0 0 1 0 2 0 0 1 0 26 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0 0 3 303 8 3.91 265.5 153 11 13 3 0 0 0 0 108 1 0 2 1 0 0 0 0 0 5 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 4 0 1 0 306 11 4.85 270.5 102 7 11 9 0 0 0 0 187 4 0 2 0 0 0 0 1 0 3 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 331 4 4.03 275.5 228 12 11 6 0 0 0 0 77 4 0 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 1 1 351 10 3.43 280.5 177 9 5 8 0 0 0 0 86 4 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 8 0 2 1 308 8 3.99 285.5 177 5 5 1 0 0 0 0 129 1 0 0 0 2 1 0 0 0 3 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 7 0 0 0 340 6 5.48 290.5 200 11 2 2 0 0 0 0 93 1 0 0 0 0 0 0 0 0 1 0 0 1 0 2 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 2 0 2 3 326 1 5.24 295.5 172 9 9 1 0 0 0 0 126 2 0 0 0 1 0 0 0 0 0 0 0 2 0 3 0 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 4 0 2 0 337 5 4 300.5 171 4 9 3 0 0 0 0 121 3 0 0 0 2 1 0 0 0 0 0 0 1 0 4 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 324 4 2.61 305.5 191 13 14 4 0 0 0 0 137 2 0 2 0 2 0 0 0 0 1 0 0 5 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 1 380 4 4.5 310.5 194 11 24 1 0 0 0 0 52 2 0 1 0 5 1 0 0 0 5 0 0 1 0 2 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 2 5 0 0 4 317 8 4.51 315.5 200 8 23 4 0 0 3 0 124 5 0 0 0 2 1 0 0 0 0 0 0 2 0 5 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 6 0 0 0 388 4 5.21 320.5 190 12 7 0 0 0 0 0 72 9 1 0 1 0 0 0 0 0 0 0 0 2 0 1 0 3 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 3 0 0 2 310 5 5.03 325.5 210 5 10 21 0 0 0 0 58 1 0 1 0 1 2 0 0 0 3 0 2 2 0 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 1 3 0 0 0 327 6 4.4 330.5 183 13 8 3 0 0 1 0 80 0 0 0 0 1 0 1 0 0 0 2 0 4 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 6 0 1 7 316 6 5.61 335.5 218 10 9 6 0 0 0 0 105 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 361 6 5.36 340.5 204 10 17 2 0 0 0 0 99 1 0 0 0 2 0 0 0 0 0 2 0 2 0 0 0 5 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 7 1 0 6 0 2 6 370 1 3.94 345.5 218 4 24 0 0 0 2 0 73 1 1 0 0 2 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 1 0 335 4 2.32 349.5 209 2 21 4 0 0 0 0 74 3 0 0 1 3 1 0 0 0 1 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 1 7 334 5 1.82