# 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/savannah2017pollen12-12-10-2.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: Savannah12-12-10-2 # Location: North America>United States Of America>Georgia # Country: United States Of America # Northernmost_Latitude: 32.18 # Southernmost_Latitude: 32.18 # Easternmost_Longitude: -81.14 # Westernmost_Longitude: -81.14 # Elevation: #------------------ # Data_Collection # Collection_Name: Savannah12-12-10-2pollen # Earliest_Year: 4200 # Most_Recent_Year: -61 # Time_Unit: Cal. Year BP # Core_Length: 2.99 # Notes: Heavily Salt-impacted TFFW (tidal freshwater forested wetlands) #------------------ # Chronology_Information # Chronology: # Lab_ID depth_cm age_14C 14C error Material dated # Beta-381820 60-61 80 30 Bulk organic, picked free of roots # Beta-357066 76-77 130 30 Bulk organic, picked free of roots # Beta-381821 112-113 1060 30 Bulk organic, picked free of roots # Beta-357067 159-160 1900 30 Bulk organic, picked free of roots # Beta-357068 297-298 3820 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, ## Cornus Cornus, 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, ## 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, ## Monosulcate Monosulcate, sediment, , count, ,Pollen,,,N, ## Vitis Vitis, sediment, , count, ,Pollen,,,N, ## Platanus Platanus, sediment, , count, ,Pollen,,,N, ## Solanaceae Solanaceae, sediment, , count, ,Pollen,,,N, ## Euphorbiaceae Euphorbiaceae, sediment, , count, ,Pollen,,,N, ## Fossil Lyco Fossil Lyco, 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, ## 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 Cornus Cyperaceae Nuphar Ericaceae Typha Polygonaceae Onagraceae Polygalaceae Parthenocissus Apiaceae Schinus Rhus Cichorieae Lonicera Malvaceae Sagittaria Impatiens Lantana Ranunculaceae Monosulcate Vitis Platanus Solanaceae Euphorbiaceae Fossil Lyco PC0 PC3 P03 SC0 SA0 Osmunda Unknown/Crumpled Total Lycopodium (exotic) Weight (g) 0.5 248 5 40 15 0 0 1 1 6 0 0 0 1 11 2 0 0 0 0 0 0 10 0 6 4 8 0 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 0 0 0 1 0 0 361 18 2.02 5.5 263 11 57 14 0 0 0 0 7 3 0 1 1 6 2 0 0 0 0 0 0 18 0 5 4 5 0 0 0 0 1 8 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 414 27 1.78 10.5 245 14 27 18 0 0 1 0 7 1 0 2 0 5 0 0 0 0 0 0 0 24 0 3 3 2 1 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 0 0 0 9 1 0 365 16 0.83 15.5 229 9 36 13 0 0 0 0 9 7 1 1 0 11 1 0 0 0 0 0 0 7 0 19 2 10 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 2 1 1 365 39 1.04 20.5 257 15 23 15 0 0 0 0 10 1 0 2 0 6 0 0 0 0 0 0 0 8 0 16 0 10 1 0 0 0 0 3 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 3 1 374 54 0.55 25.5 264 21 43 13 0 0 0 0 7 2 0 0 0 2 4 1 0 0 0 0 1 20 0 16 2 13 1 0 3 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 1 422 52 1.03 30.5 277 16 17 15 0 0 0 0 10 4 0 0 0 1 0 0 0 0 0 0 0 17 0 3 1 5 1 0 1 1 0 7 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 1 383 26 0.77 35.5 228 7 14 14 0 0 0 0 3 0 0 0 0 5 0 1 1 0 1 0 0 32 0 12 1 7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 6 2 0 338 47 0.6 40.5 237 12 24 4 0 0 0 1 6 3 0 0 0 5 0 1 0 0 1 0 1 35 0 9 1 3 1 0 2 0 1 4 1 0 0 0 0 0 1 0 3 1 1 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 2 365 75 0.3 45.5 239 12 8 7 0 0 0 0 8 0 1 0 0 7 0 0 0 0 0 0 1 30 1 13 3 8 1 0 0 0 0 2 2 2 0 0 0 0 0 0 3 1 2 0 0 0 0 1 0 0 0 0 0 0 0 0 5 0 2 359 71 0.55 50.5 207 7 16 6 0 0 0 0 12 2 0 1 0 4 0 0 0 0 1 0 0 40 0 6 0 10 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 1 0 0 318 40 95 55.5 211 11 13 11 0 0 0 0 12 2 0 0 0 14 0 0 0 0 0 0 0 52 0 12 7 7 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 358 111 1.03 60.5 258 9 10 12 0 0 0 0 5 3 1 1 0 3 0 0 0 0 1 1 0 45 0 1 3 8 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 367 78 0.52 65.5 248 5 15 11 0 0 0 0 11 6 1 1 1 10 2 0 0 0 3 0 0 30 0 7 11 22 1 0 1 0 0 0 4 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 2 397 45 2.27 70.5 160 7 18 8 0 0 0 1 4 3 0 0 0 4 2 1 0 0 1 0 0 46 1 21 7 18 2 0 0 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 1 0 4 0 1 312 15 2.01 75.5 124 4 20 17 1 0 2 0 17 3 0 1 1 9 4 0 0 0 0 0 0 30 0 18 15 24 1 1 0 0 0 1 3 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 1 0 0 0 0 1 0 0 3 0 0 305 21 4.15 80.5 170 8 14 14 0 0 0 0 5 3 0 2 0 1 0 0 1 0 1 0 0 39 0 48 17 28 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 5 2 1 3 1 0 0 0 0 0 0 1 0 0 13 0 3 382 45 1.89 85.5 192 10 8 9 0 0 0 0 10 4 0 2 0 0 1 1 0 0 2 0 0 15 0 26 5 30 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 1 0 0 0 0 2 3 0 1 328 45 2.39 90.5 149 8 22 5 0 0 1 0 10 3 0 0 0 1 3 0 1 0 0 0 1 23 0 53 7 29 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 2 0 2 2 3 0 2 331 45 1.36 95.5 192 10 16 8 0 0 0 0 6 0 0 0 0 2 3 0 0 0 0 0 0 63 1 15 6 16 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 2 5 0 2 351 17 5.35 100.5 187 4 14 2 0 0 0 0 5 2 0 0 0 1 3 0 0 0 2 0 1 84 0 32 17 10 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0 1 0 0 0 0 0 1 0 0 3 1 2 378 16 2.33 105.5 164 13 7 8 1 0 0 0 8 4 2 0 0 1 1 1 0 0 0 0 0 122 0 8 7 12 0 0 0 0 0 1 14 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 2 2 1 0 388 12 3.6 110.5 204 11 8 5 0 0 0 0 5 1 0 0 0 1 1 0 0 0 0 0 0 57 0 4 17 18 0 0 0 0 0 0 11 4 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 4 2 3 359 12 2.92 115.5 200 6 9 7 0 0 0 0 17 2 0 0 0 2 0 0 2 0 0 0 0 99 0 2 4 27 1 0 0 0 1 0 9 10 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 3 1 0 406 15 5.28 120.5 173 14 10 5 0 1 0 0 13 3 0 0 0 1 0 0 0 0 1 0 0 64 0 2 4 8 0 0 1 0 1 0 15 6 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 1 332 33 5.09 125.5 104 47 14 26 0 0 0 0 36 3 0 0 0 2 0 0 6 0 0 0 0 24 0 1 0 7 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 0 0 0 1 2 19 14 5 314 242 6.03 130.5 190 63 17 19 0 0 1 0 34 0 0 1 0 5 1 0 14 0 1 0 0 9 0 3 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 0 0 2 0 0 2 18 2 1 385 40 5.06 135.5 221 51 12 11 0 0 0 0 49 3 0 0 0 4 0 0 4 0 0 0 0 7 0 1 1 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 8 0 2 382 14 5.02 140.5 228 23 24 8 0 0 3 0 39 1 1 0 0 5 0 0 3 0 0 0 5 5 0 2 2 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 2 0 0 9 1 2 364 6 4.23 145.5 217 32 20 20 0 0 1 1 48 9 0 0 0 7 1 3 3 0 0 0 0 24 0 3 2 3 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 1 4 2 1 403 22 5.03 150.5 267 30 19 15 0 0 0 0 34 3 0 3 0 1 1 0 11 0 0 0 0 3 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 396 11 3.03 155.5 208 20 52 18 0 0 0 0 25 7 0 0 2 1 0 1 14 0 1 0 0 6 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0 0 362 13 2.42 160.5 187 21 20 17 0 0 0 0 43 5 0 1 1 1 2 0 16 2 1 0 0 2 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 0 0 0 0 0 0 0 1 0 321 28 0.93 165.5 201 6 14 9 0 0 0 0 60 4 0 0 0 2 0 0 22 0 0 0 1 12 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 4 0 342 30 2.53 170.5 160 30 13 9 0 0 0 0 59 5 0 0 0 3 0 0 13 4 0 0 1 5 0 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 2 0 4 0 1 312 19 3.38 175.5 230 14 9 19 0 0 1 0 71 4 0 1 0 4 1 0 8 0 0 0 0 3 0 2 0 6 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 1 0 2 7 3 0 388 27 4.37 180.5 231 17 5 2 0 0 0 0 51 4 0 0 0 0 0 0 3 1 0 0 1 3 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 1 0 0 1 8 2 1 332 19 3.56 185.5 205 11 12 6 1 0 0 0 63 5 0 1 0 0 0 0 1 0 1 0 0 7 0 2 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 3 0 0 6 3 0 329 12 4.26 190.5 249 12 8 7 0 0 0 0 61 4 0 0 0 5 0 0 2 0 0 0 1 2 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 0 0 0 0 1 8 2 1 365 21 3.14 195.5 256 15 22 9 0 0 0 0 73 4 0 1 1 2 0 0 3 0 4 0 0 4 0 2 0 3 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 1 0 0 2 0 0 404 16 2.88 200.5 198 13 11 13 0 0 0 0 58 3 0 0 0 2 0 2 2 0 2 0 0 13 0 2 1 1 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 5 0 1 332 10 1.33 204.5 198 17 13 11 0 0 0 0 73 1 0 1 0 1 0 0 0 0 3 0 0 3 0 1 0 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 0 0 1 3 0 1 329 13 3.66 210.5 214 21 18 10 0 0 0 0 49 1 0 0 2 0 0 0 0 0 1 0 1 3 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 2 1 0 326 2 5.05 215.5 203 19 0 14 0 0 0 1 69 0 0 1 0 1 0 0 1 0 0 0 0 4 0 2 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 4 0 1 321 10 2.9 220.5 220 14 12 9 0 0 0 0 53 4 0 1 0 1 1 0 1 1 2 0 1 2 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 10 3 1 344 17 2.81 225.5 192 19 14 15 0 0 0 0 90 12 1 0 1 2 0 0 2 0 1 0 0 3 0 0 0 1 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 1 0 2 0 3 362 12 4.25 230.5 174 16 11 11 0 0 0 0 72 1 0 2 0 1 0 0 2 0 1 0 0 8 0 0 0 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 0 0 2 4 0 0 307 5 3.95 235.5 209 14 18 10 0 0 0 0 44 6 1 4 1 1 0 0 0 0 2 1 1 3 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 1 1 323 20 2.3 240.5 220 4 14 7 0 0 0 0 61 7 0 0 0 11 2 0 2 1 1 0 1 5 0 1 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 2 6 1 1 349 12 1.83 245.5 291 13 12 2 0 0 1 0 61 3 2 1 0 0 0 0 1 0 2 0 0 4 0 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 1 1 0 1 8 0 0 406 20 3.15 250.5 281 18 16 5 0 0 4 0 63 0 0 0 0 1 1 0 0 0 0 0 0 3 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 1 1 9 2 2 408 6 4.87 255.5 219 4 12 5 0 0 1 0 69 2 0 1 1 0 0 0 0 0 0 0 0 3 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 6 0 1 328 3 5.19 260.5 177 9 28 4 0 0 1 0 73 2 0 3 0 2 7 0 1 0 3 0 0 2 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 0 0 1 0 7 1 1 325 17 0.89 265.5 190 6 9 6 0 0 0 0 108 0 0 0 0 1 0 0 0 0 0 0 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 1 0 0 2 0 3 0 0 329 4 5.65 270.5 195 6 8 5 0 0 0 0 109 1 2 3 1 0 0 0 0 0 1 1 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 1 4 0 1 341 11 1.15 275.5 220 7 28 5 0 0 0 0 117 2 0 6 0 1 0 0 0 0 2 0 0 4 0 1 0 2 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 400 13 1.73 280.5 165 5 23 8 0 0 0 0 141 3 0 5 0 0 1 0 1 0 5 0 2 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 0 1 4 0 0 366 9 1.58 285.5 215 4 23 5 0 0 2 0 73 4 0 1 0 0 0 1 0 0 1 0 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 0 0 0 0 0 0 0 0 0 0 1 0 1 333 11 1.73 290.5 181 4 33 6 0 0 0 0 88 1 0 7 1 4 1 4 0 0 4 0 0 5 0 0 0 0 1 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 0 1 1 1 347 6 2.28 295.5 214 5 13 17 0 0 0 1 84 0 0 1 0 0 0 0 0 0 2 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 0 0 2 0 1 342 6 4.43 299.5 121 8 31 9 0 0 1 0 135 1 0 5 3 1 0 3 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 5 1 1 332 9 2.23