# Central Nova Scotia Pollen Temperature and Precipitation Reconstructions during the Late Holocene #----------------------------------------------------------------------- # 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/37245 # 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-pollen-37245.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Climate Reconstructions # # Dataset_DOI: 10.25921/eq97-ec68 # # Science_Keywords: Air Temperature Reconstruction, Medieval Warm Period, Precipitation Reconstruction #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/gajewski2023/gajewski2023-ns-chase-temp-precip.txt # Data_Download_Description: NOAA Template File; Chase Lake Temperature and Precipitation Reconstructions # #--------------------------------------- # Contribution_Date # Date: 2023-01-20 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-11-26 #--------------------------------------- # Title # Study_Name: Central Nova Scotia Pollen Temperature and Precipitation Reconstructions during the Late Holocene #--------------------------------------- # Investigators # Investigators: Gajewski, Konrad; Neil, Karen; Ponomarenko, Elena; Ershova, Ekaterina; Stewart, Bruce; Neily, Peter; Quigley, Eugene #--------------------------------------- # Description_Notes_and_Keywords # Description: High-resolution sampling; lake sediment charcoal and pollen; paleoclimate reconstruction using modern analogue technique. Lake locations: Chase Lake (45.732 N, -63.963 W, 65m), Rees Lake (44.749 N, -63.937 W, 92m), Susie's Lake (45.353 N, -61.676 W, 68m) #--------------------------------------- # Publication # Authors: Gajewski, K., Karen Neil, Elena Ponomarenko, Ekaterina Ershova, Bruce Stewart, Peter Neily, Eugene Quigley # Published_Date_or_Year: 2023-11-01 # Published_Title: Fire disturbance regime and vegetation response of the past 2500 years for central Nova Scotia # Journal_Name: Ecosphere # Volume: 14 # Edition: # Issue: 11 # Pages: # Report_Number: e4710 # DOI: 10.1002/ecs2.4710 # Online_Resource: # Full_Citation: # Abstract: The interaction between climate change and disturbances affects forest composition and dynamics, but most of our empirical knowledge comes from short-term studies of the past century. Pollen and charcoal analyses of lake sediment cores retrieved from three sites in Nova Scotia were used to produce a landscape-level analysis of long-term forest cover dynamics and fire disturbances of the past ~2500 years. The present-day forests had been established by that time, although a long-term increase in Picea at the expense of northern hardwoods was seen at all sites, consistent with other pollen records found across New England and Eastern Canada. The driving influences of forest change prior to European settlement were a combination of climate and disturbance, acting on site characteristics of each region. Fires were relatively infrequent in this region and did not have a major impact on the evolution of the forests of central Nova Scotia. Changes in the relative abundances of the tree taxa occurred in response to long-term cooling during the past 3000 years and century-scale climate variability such as the Little Ice Age (ce 1450–1850) and Medieval Warm Period (ce 800–1300). The impact of climate variability on the fire regime depends on the landscape and vegetation type. “Borealization” of the Acadian Forest, noted during the period of European colonization, has been occurring for millennia. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Nova Scotia Department of Natural Resources and Renewables # Grant: #--------------------------------------- # Site_Information # Site_Name: Chase Lake # Location: Nova Scotia # Northernmost_Latitude: 45.732 # Southernmost_Latitude: 45.732 # Easternmost_Longitude: -63.963 # Westernmost_Longitude: -63.963 # Elevation_m: 65 #--------------------------------------- # Data_Collection # Collection_Name: Chase Lake MAT Temp,Precip Gajweski2023 # First_Year: 2672 # Last_Year: -68 # Time_Unit: calendar year before present # Core_Length_m: 0.195 # Parameter_Keywords: air temperature, precipitation # Notes: #--------------------------------------- # Chronology_Information # Chronology: Radiocarbon # Chronology_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/templates/noaa-wds-paleo-14c-terms.csv # Chronology_Download_Description: Radiocarbon terms and definitions. # Chronology_Notes: # Rejection_Rationale: # Reservoir_Method: # Calibration_Method: CALIB 6.0 (Stuiver and Reimer 1993; Reimer et al. 2013) # Age_Model_Method: rbacon3.1.0 (Blaauw&Christen, 2011) # Missing_Values: NaN # Chronology_Table: # samp_id depth_end_cm depth_start_cm age_14C_BP1950 age_14C_1s_yr age_calib_range2s_BP1950 lab_code material_dated calib_curve # Chase_6.0-7.5 6 7.5 656 15 664-633(40.0%),591-561(55.5%) UOC-19156 plant IntCal # C01-A-15-16 15 16 2264 27 2348–2300(46.5%),2250–2159(48.9%) UOC-8627 plant IntCal # C02-A-30-31 30 31 3697 91 4299–3827(92.4%) UOC-8628 plant IntCal # C03-A-65-66 65 66 5588 48 6466–6292(95.4%) UOC-8629 plant IntCal # C04-A-90-91 90 91 6266 31 7270–9156(94.0%) UOC-8630 plant IntCal # C05-A-114-115 114 115 7201 33 8154–8140(2.0%),8133–8118(2.1%),8112–8090(3.5%),8061–7951(87.9%) UOC-8631 plant IntCal #--------------------------------------- # 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 depth,,,centimeter,,climate reconstructions;pollen,,,N, ## age_bp age,,,calendar year before present,,climate reconstructions;pollen,,,, ## temp_jul_avg temperature,,,degree Celsius,jul,climate reconstructions;pollen,,modern analogue technique,N,average of three analogues; pollen ## precip_ann_avg precipitation,,,millimeter,annual,climate reconstructions;pollen,,modern analogue technique,N,average of three analogues; pollen ## temp_jul_best temperature,,,degree Celsius,jul,climate reconstructions;pollen,,modern analogue technique,N,temperature of the best analogue; pollen ## temp_jul_2d temperature,,,degree Celsius,jul,climate reconstructions;pollen,,modern analogue technique,N,temperature of the 2nd analogue; pollen ## temp_jul_3d temperature,,,degree Celsius,jul,climate reconstructions;pollen,,modern analogue technique,N,temperature of the 3rd analogue; pollen ## precip_ann_best precipitation,,,millimeter,annual,climate reconstructions;pollen,,modern analogue technique,N,precipitation of the best analogue; pollen ## precip_ann_2d precipitation,,,millimeter,annual,climate reconstructions;pollen,,modern analogue technique,N,precipitation of the 2nd analogue; pollen ## precip_ann_3d precipitation,,,millimeter,annual,climate reconstructions;pollen,,modern analogue technique,N,precipitation of the 3rd analogue; pollen ## minscd pollen,,squared chord distance,dimensionless,,pollen,,,N,squared chord distance of the best analogue ## scd2 pollen,,squared chord distance,dimensionless,,pollen,,,N,squared chord distance of the 2nd analogue ## scd3 pollen,,squared chord distance,dimensionless,,pollen,,,N,squared chord distance of the 3rd analogue #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: n/a depth age_bp temp_jul_avg precip_ann_avg temp_jul_best temp_jul_2d temp_jul_3d precip_ann_best precip_ann_2d precip_ann_3d minscd scd2 scd3 0 -68 18.8 1040 19.0 18.6 18.9 1162 945 1014 0.095 0.097 0.117 0.5 -38 19.0 1027 18.9 19.2 18.9 1014 1083 983 0.051 0.073 0.081 1 -8 18.5 1058 18.9 17.9 18.6 1077 1130 967 0.110 0.118 0.120 1.5 22 18.7 1076 18.9 19.2 17.9 1014 1083 1130 0.047 0.078 0.089 2 51 18.9 1037 18.9 18.7 19.0 1014 935 1162 0.101 0.101 0.102 2.5 81 18.5 1026 18.7 18.9 17.9 935 1014 1130 0.079 0.083 0.101 3 111 18.8 1021 19.0 18.6 18.7 1162 967 935 0.104 0.104 0.106 3.5 140 18.5 1037 18.9 17.9 18.6 1014 1130 967 0.070 0.086 0.092 4 170 18.6 1079 19.0 17.1 19.8 1162 1037 1037 0.077 0.092 0.092 4.5 200 18.7 1120 19.0 18.9 18.2 1162 1014 1184 0.088 0.093 0.094 5 229 18.6 1097 18.2 19.0 18.7 1195 1162 935 0.078 0.088 0.089 5.5 314 18.0 1060 18.9 17.9 17.1 1014 1130 1037 0.072 0.079 0.088 6 411 19.0 1133 19.0 18.2 19.7 1162 1184 1053 0.062 0.093 0.097 6.5 505 17.8 1081 19.0 17.1 17.4 1162 1037 1043 0.114 0.127 0.134 7 592 19.2 1160 19.0 19.4 19.1 1162 1138 1181 0.090 0.111 0.112 7.5 664 18.1 1131 19.0 18.2 17.1 1162 1195 1037 0.097 0.108 0.108 8 745 18.9 1161 19.0 18.2 19.4 1162 1184 1138 0.121 0.134 0.141 8.5 829 18.5 1117 18.2 18.3 19.0 1184 1005 1162 0.083 0.084 0.085 9 913 19.5 1137 19.0 19.1 20.5 1162 1181 1069 0.057 0.069 0.078 9.5 995 18.8 1157 19.4 18.2 18.9 1138 1184 1150 0.120 0.133 0.135 10 1072 19.8 1105 19.0 20.5 19.8 1162 1115 1037 0.087 0.106 0.111 10.5 1183 19.5 1124 19.0 20.7 18.8 1162 1106 1104 0.079 0.083 0.089 11 1290 18.8 1106 19.0 19.1 18.3 1162 1181 975 0.069 0.075 0.083 11.5 1396 19.0 1082 19.5 18.2 19.4 924 1184 1138 0.104 0.105 0.119 12 1509 18.9 1070 19.0 17.9 19.8 1162 1010 1037 0.089 0.089 0.094 12.5 1622 19.7 1110 20.5 19.1 19.4 1069 1181 1080 0.077 0.077 0.077 13 1736 19.3 1094 18.3 19.0 20.7 1015 1162 1106 0.095 0.104 0.106 13.5 1842 18.5 1107 18.2 19.0 18.3 1184 1162 975 0.094 0.101 0.110 14 1952 19.8 1096 20.5 19.8 19.1 1069 1037 1181 0.071 0.072 0.074 14.5 2057 19.7 1129 19.4 20.5 19.1 1138 1069 1181 0.088 0.095 0.097 15 2162 18.4 1069 17.9 18.3 19.1 1010 1015 1181 0.112 0.116 0.118 15.5 2220 18.9 1020 19.5 18.3 19.0 924 975 1162 0.077 0.086 0.092 16 2282 18.9 1020 18.3 19.5 19.0 975 924 1162 0.088 0.095 0.096 16.5 2350 19.8 1044 20.5 19.5 19.4 1069 924 1138 0.088 0.092 0.099 17 2404 18.7 1118 17.9 19.0 19.1 1010 1162 1181 0.120 0.124 0.126 17.5 2458 19.8 1096 19.1 20.5 19.8 1181 1069 1037 0.103 0.114 0.116 18 2512 18.8 997 17.9 20.2 18.3 1010 965 1015 0.112 0.112 0.112 18.5 2567 19.0 961 19.5 19.0 18.4 924 942 1017 0.062 0.079 0.079 19 2621 19.2 1087 19.0 18.3 20.3 1162 1015 1084 0.110 0.121 0.125 19.5 2672 18.8 980 19.5 18.3 18.6 924 975 1040 0.109 0.114 0.125