# 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-rees-temp-precip.txt # Data_Download_Description: NOAA Template File; Rees 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: Rees Lake # Location: Nova Scotia # Northernmost_Latitude: 44.749 # Southernmost_Latitude: 44.749 # Easternmost_Longitude: -63.937 # Westernmost_Longitude: -63.937 # Elevation_m: 92 #--------------------------------------- # Data_Collection # Collection_Name: Rees Lake MAT Temp,Precip Gajweski2023 # First_Year: 2806 # Last_Year: -68 # Time_Unit: calendar year before present # Core_Length_m: 0.445 # 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 # Rees_17-18 17 18 581 15 630-591(70.1%),561-542(25.4%) UOC-19157 plant IntCal # R01-A-25-26 25 26 1156 35 1176-981(95.4%) UOC-8313 plant IntCal # Rees_36-37 36 37 2446 15 2696-2638(57.8%),2615-2593(11.2%),2514-2365(56.5%) UOC-19158 twig IntCal # R02-A-41-42 41 42 2329 35 2461-2306(91.2%),2232-2205(3.6%),2193-2186(0.6%) UOC-8314 plant IntCal # R03-A-71-72 71 72 4144 35 4826-4569(95.4%) UOC-8315 plant IntCal # R04-A-101-102 101 102 4978 35 5875-5827(8.8%),5753-5610(86.6%) UOC-8316 plant IntCal # R05-A-135-136 135 136 5852 35 6746-6561(95.4%) UOC-8317 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 18.8 938 18.9 18.7 18.9 1014 817 983 0.091 0.097 0.099 0.5 -51 18.5 1030 18.9 17.9 18.6 1014 1130 945 0.059 0.081 0.090 1 -34 18.5 997 17.1 18.6 19.9 1037 945 1008 0.076 0.082 0.086 1.5 -13 18.6 1020 17.1 18.9 19.9 1037 1014 1008 0.067 0.072 0.074 2 7 18.6 1020 18.9 17.1 19.9 1014 1037 1008 0.078 0.079 0.082 2.5 28 18.0 1060 18.9 17.9 17.1 1014 1130 1037 0.045 0.054 0.060 3 47 18.0 1060 18.9 17.1 17.9 1014 1037 1130 0.075 0.086 0.088 3.5 67 18.5 1030 18.9 17.9 18.6 1014 1130 945 0.070 0.073 0.084 4 86 18.9 1051 18.9 17.9 19.9 1014 1130 1008 0.072 0.080 0.089 4.5 105 18.6 1074 18.9 17.9 18.9 1014 1130 1077 0.069 0.080 0.083 5 124 18.3 1071 17.1 19.0 18.9 1037 1162 1014 0.084 0.088 0.090 5.5 143 17.7 1121 17.1 17.9 18.2 1037 1130 1195 0.080 0.091 0.093 6 162 18.6 1020 19.9 18.9 17.1 1008 1014 1037 0.073 0.083 0.086 6.5 181 17.7 1121 18.2 17.9 17.1 1195 1130 1037 0.063 0.068 0.074 7 200 18.6 1038 18.3 19.3 18.2 975 1108 1030 0.098 0.113 0.114 7.5 220 17.9 1069 18.2 17.1 18.3 1195 1037 975 0.048 0.053 0.056 8 239 18.4 1080 18.2 17.1 19.9 1195 1037 1008 0.043 0.046 0.046 8.5 257 18.0 1071 18.3 18.2 17.4 975 1195 1043 0.056 0.061 0.065 9 276 18.6 1010 19.3 18.3 18.3 1108 947 975 0.070 0.071 0.075 9.5 297 17.3 1107 18.3 15.5 18.2 975 1150 1195 0.045 0.064 0.064 10 316 18.4 1080 17.1 19.9 18.2 1037 1008 1195 0.072 0.077 0.085 10.5 334 18.1 1058 18.3 19.0 17.1 975 1162 1037 0.059 0.059 0.067 11 354 18.8 1011 18.3 18.3 19.9 947 975 1112 0.084 0.085 0.086 11.5 373 18.5 1168 19.0 18.3 18.2 1162 1147 1195 0.062 0.068 0.069 12 391 18.6 1010 18.3 19.3 18.3 947 1108 975 0.091 0.093 0.097 12.5 411 18.5 1111 18.3 19.0 18.2 975 1162 1195 0.057 0.061 0.066 13 431 17.1 1050 18.3 15.5 17.4 975 1132 1043 0.074 0.075 0.080 13.5 448 17.9 1126 18.2 18.3 17.1 1195 1147 1037 0.077 0.079 0.079 14 467 18.6 1093 18.2 18.3 19.3 1195 975 1108 0.082 0.090 0.095 14.5 486 17.9 1053 18.3 18.3 17.1 975 1147 1037 0.057 0.062 0.062 15 505 18.6 1083 19.3 18.3 18.2 1108 947 1195 0.072 0.089 0.090 15.5 524 18.5 1095 19.0 18.3 18.3 1162 975 1147 0.059 0.064 0.064 16 543 18.6 1080 19.3 18.3 18.2 1108 947 1184 0.095 0.104 0.106 16.5 562 18.0 1071 18.3 17.4 18.2 975 1043 1195 0.053 0.062 0.062 17 582 18.6 1023 19.3 18.2 18.3 1108 1013 947 0.074 0.074 0.078 17.5 602 18.5 1117 19.1 18.2 18.3 1181 1195 975 0.051 0.052 0.054 18 621 18.0 988 18.3 17.4 18.3 975 1043 947 0.072 0.072 0.077 18.5 646 19.0 1070 19.0 18.2 19.7 1162 1030 1017 0.066 0.069 0.069 19 668 18.1 1058 19.0 18.3 17.1 1162 975 1037 0.071 0.081 0.084 19.5 694 18.1 1131 19.0 18.2 17.1 1162 1195 1037 0.067 0.076 0.077 20 718 17.9 1069 18.3 17.1 18.2 975 1037 1195 0.095 0.099 0.101 20.5 748 18.5 1107 19.0 18.3 18.2 1162 975 1184 0.068 0.072 0.079 21 776 18.1 1065 18.3 18.2 17.9 975 1195 1025 0.071 0.085 0.086 21.5 806 18.5 1056 18.3 18.2 19.0 975 1030 1162 0.064 0.073 0.076 22 835 18.6 1083 18.3 19.3 18.2 947 1108 1195 0.063 0.073 0.076 22.5 866 18.6 1075 18.2 19.4 18.3 1195 1083 947 0.062 0.066 0.066 23 897 19.0 1059 19.3 18.3 19.4 1108 947 1123 0.085 0.102 0.110 23.5 930 18.5 1111 18.3 19.0 18.2 975 1162 1195 0.061 0.067 0.074 24 962 18.3 1042 19.3 17.4 18.3 1108 1043 975 0.105 0.108 0.109 24.5 995 19.3 1129 19.4 19.4 19.1 1083 1123 1181 0.066 0.070 0.071 25 1029 18.6 1093 18.2 18.3 19.3 1195 975 1108 0.076 0.079 0.080 25.5 1067 19.0 1051 18.3 19.7 19.0 975 1017 1162 0.048 0.061 0.064 26 1104 19.1 994 19.4 19.5 18.3 1083 924 975 0.082 0.083 0.084 26.5 1151 17.9 1065 18.3 18.2 17.1 975 1184 1037 0.065 0.079 0.079 27 1194 17.6 1090 19.0 18.3 15.5 1162 975 1132 0.046 0.047 0.053 27.5 1247 19.0 1051 19.0 19.7 18.3 1162 1017 975 0.052 0.060 0.062 28 1297 18.2 1105 18.2 19.4 17.1 1195 1083 1037 0.049 0.051 0.059 28.5 1362 18.1 1010 18.3 18.2 17.9 975 1030 1025 0.043 0.057 0.058 29 1419 18.0 1016 17.4 18.3 18.2 1043 975 1030 0.040 0.040 0.046 29.5 1488 17.1 1050 15.5 18.3 17.4 1132 975 1043 0.081 0.083 0.088 30 1554 18.5 1008 18.3 18.8 18.4 975 1033 1017 0.052 0.054 0.055 30.5 1614 18.2 1067 18.3 18.2 18.2 975 1195 1030 0.061 0.074 0.074 31 1676 18.4 1091 18.2 18.3 18.8 1195 975 1104 0.088 0.091 0.093 31.5 1745 19.1 1163 18.2 19.1 19.9 1195 1181 1112 0.054 0.055 0.059 32 1813 18.9 977 19.5 18.3 18.8 924 975 1033 0.055 0.061 0.066 32.5 1883 18.6 1029 18.2 18.3 19.4 1030 975 1083 0.058 0.066 0.069 33 1956 19.0 1134 19.4 19.4 18.2 1083 1123 1195 0.061 0.063 0.063 33.5 2016 18.6 975 18.3 17.9 19.5 975 1025 924 0.061 0.070 0.079 34 2077 18.7 1031 19.5 18.2 18.3 924 1195 975 0.057 0.065 0.066 34.5 2142 18.0 1071 18.2 18.3 17.4 1195 975 1043 0.088 0.092 0.099 35 2210 18.1 1010 18.3 17.9 18.2 975 1025 1030 0.077 0.094 0.098 35.5 2272 18.9 1153 18.2 19.4 19.1 1195 1083 1181 0.055 0.060 0.066 36 2340 18.6 1032 19.3 18.3 18.2 1108 975 1013 0.089 0.090 0.094 36.5 2375 18.2 1067 18.2 18.3 18.2 1030 975 1195 0.043 0.044 0.048 37 2419 19.5 1024 19.7 19.9 19.0 1017 1112 942 0.049 0.050 0.052 37.5 2448 17.3 1126 16.9 16.9 18.0 1235 1110 1033 0.044 0.044 0.044 38 2478 18.9 947 19.5 18.3 19.0 924 975 942 0.043 0.048 0.053 38.5 2503 18.2 1171 18.2 19.4 16.9 1195 1083 1235 0.056 0.061 0.063 39 2528 19.3 993 19.5 19.2 19.3 924 948 1108 0.098 0.098 0.099 39.5 2552 19.2 1022 18.2 19.5 19.9 1030 924 1112 0.064 0.065 0.066 40 2576 17.8 1135 18.3 18.2 16.9 975 1195 1235 0.068 0.070 0.070 40.5 2598 18.7 1007 18.3 18.2 19.7 975 1030 1017 0.044 0.053 0.064 41 2620 19.2 1004 18.3 19.9 19.5 975 1112 924 0.047 0.053 0.055 41.5 2646 19.5 1073 20.5 18.9 19.0 1115 942 1162 0.049 0.052 0.056 42 2669 18.3 1126 16.9 18.2 19.9 1235 1030 1112 0.049 0.054 0.054 42.5 2696 18.8 1018 18.2 19.4 18.9 1030 1083 942 0.064 0.066 0.068 43 2720 20.1 1053 20.8 20.5 19.0 1149 1069 942 0.057 0.060 0.060 43.5 2750 18.9 1109 16.9 19.0 20.8 1235 942 1149 0.052 0.054 0.056 44 2777 19.0 1104 20.8 19.3 16.9 1149 927 1235 0.040 0.057 0.057 44.5 2806 19.2 938 19.0 19.5 19.2 942 924 948 0.065 0.075 0.077