# Bogs of the Western Great Lakes Region, North America Medieval Climate Anomaly Drought Data
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#                World Data Service for Paleoclimatology, Boulder            
#                                  and            
#                     NOAA Paleoclimatology Program            
#             National Centers for Environmental Information (NCEI)            
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# 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/23086
#     Online_Resource_Description:  Landing Page for this study.
#
# Online_Resource:  https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/noaa-templates/data-version-1.0.0/Minden.Booth.2012.txt
#     Online_Resource_Description:  This file.  NOAA WDS Paleo formatted metadata and data for version 1.0.0 of this dataset.
#
# Online_Resource:  https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/data-version-1.0.0/Minden.Booth.2012.lpd
#     Online_Resource_Description:  Linked Paleo Data (LiPD) formatted file containing the same metadata and data as this file, for version 1.0.0 of this dataset.
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Paleolimnology
# Parameter_Keywords: earth science>paleoclimate>reconstructions>ground water; earth science>paleoclimate>paleolimnology>population abundance
# Dataset_DOI: 
#
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# Contribution_Date
#     Date: 2017-11-13
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# File_Last_Modified_Date
#     Modified_Date: 2017-11-13
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# Title
#     Study_Name: Bogs of the Western Great Lakes Region, North America Medieval Climate Anomaly Drought Data
#------------------
# Investigators
#     Investigators: Booth, Robert K.; Jackson, Stephen T.; Sousa, Valerie A.; Sullivan, Maura E.; Minckley, Thomas A.; Clifford, Michael J.
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# Description_Notes_and_Keywords
#     Description: 
#------------------
# Publication
#     Authors: Booth, Robert K.; Jackson, Stephen T.; Sousa, Valerie A.; Sullivan, Maura E.; Minckley, Thomas A.; Clifford, Michael J.
#     Published_Date_or_Year: 2012
#     Published_Title: Multi-decadal drought and amplified moisture variability drove rapid forest community change in a humid region
#     Journal_Name: Ecology
#     Volume: 93
#     Edition: 
#     Issue: 2
#     Pages: 
#     Report: 
#     DOI: 10.1890/11-1068.1
#     Online_Resource: doi.org
#     Full_Citation: 
#     Abstract: Climate variability, particularly the frequency of extreme events, is likely to increase in the coming decades, with poorly understood consequences for terrestrial ecosystems. Hydroclimatic variations of the Medieval Climate Anomaly (MCA) provide a setting for studying ecological responses to recent climate variability at magnitudes and timescales comparable to expectations of coming centuries. We examined forest response to the MCA in the humid western Great Lakes region of North America, using proxy records of vegetation, fire, and hydroclimate. Multi-decadal moisture variability during the MCA was associated with a widespread, episodic decline in Fagus grandifolia (beech) populations. Spatial patterns of drought and forest changes were coherent, with beech declining only in areas where proxy-climate records indicate that severe MCA droughts occurred. The occurrence of widespread, drought-induced ecological changes in the Great Lakes region indicates that ecosystems in humid regions are vulnerable to rapid changes in drought magnitude and frequency.
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# Funding_Agency
#     Funding_Agency_Name: 
#     Grant: 
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# Site_Information
#     Site_Name: Minden Bog
#     Location: Michigan
#     Country: 
#     Northernmost_Latitude: 43.61
#     Southernmost_Latitude: 43.61
#     Easternmost_Longitude: -82.83
#     Westernmost_Longitude: -82.83
#     Elevation: 240
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# Data_Collection
#     Collection_Name: Minden.Booth.2012
#     Earliest_Year: 3056.2
#     Most_Recent_Year: -50.9
#     Time_Unit: BP
#     Core_Length: 
#     Notes: 
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# Species
#     Species_Name: 
#     Species_Code: 
#     Common_Name: 
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# Chronology:        
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# Variables        
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# Data variables follow that are preceded by "##" in columns one and two.        
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components ( 10 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data, additional_information)
#
##year age,,,year CE,,,,,N 
##water_table_depth reconstructed water table depth,testate amoebae,,cm,,climate reconstructions;paleolimnology,,, N,
##age age, , , calendar years before present, , , , ,N
#
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# Data:        
# Data lines follow (have no #)        
# Data line format - tab-delimited text, variable short name as header)        
# Missing_Values: nan
#
year	water_table_depth	age	
2000.9	6.218	-50.9	
1984.9	12.184	-34.9	
1968.8	11.6	-18.8	
1952.8	15.065	-2.8	
1936.7	36.02	13.3	
1920.6	41.441	29.4	
1906.6	44.166	43.4	
1892.5	42.086	57.5	
1878.4	46.411	71.6	
1864.3	37.225	85.7	
1850.2	33.913	99.8	
1808.3	26.979	141.7	
1766.3	31.827	183.7	
1724.4	39.142	225.6	
1682.5	36.486	267.5	
1640.6	22.058	309.4	
1559.7	19.974	390.3	
1478.9	23.247	471.1	
1398.0	28.934	552.0	
1317.1	28.28	632.9	
1236.3	31.868	713.7	
1215.4	21.424	734.6	
1194.4	38.1	755.6	
1173.5	37.063	776.5	
1152.5	25.303	797.5	
1131.6	17.131	818.4	
1118.0	31.529	832.0	
1104.3	29.361	845.7	
1090.7	22.818	859.3	
1077.0	19.157	873.0	
1063.4	10.373	886.6	
1044.9	15.203	905.1	
1026.4	6.645	923.6	
1007.9	19.989	942.1	
989.4	27.18	960.6	
970.9	34.894	979.1	
958.8	11.206	991.2	
946.7	17.105	1003.3	
934.5	21.743	1015.5	
922.4	10.287	1027.6	
910.3	8.966	1039.7	
894.3	9.28	1055.7	
878.4	5.091	1071.6	
862.5	7.523	1087.5	
846.5	8.28	1103.5	
830.6	10.849	1119.4	
822.8	6.62	1127.2	
814.9	12.946	1135.1	
807.1	10.43	1142.9	
799.3	9.047	1150.7	
791.4	11.232	1158.6	
785.3	17.351	1164.7	
779.1	11.983	1170.9	
773.0	6.155	1177.0	
766.8	7.522	1183.2	
760.6	8.756	1189.4	
756.0	10.043	1194.0	
751.3	6.363	1198.7	
746.6	3.801	1203.4	
741.9	8.152	1208.1	
737.3	7.22	1212.7	
726.2	9.536	1223.8	
715.2	7.176	1234.8	
704.1	10.571	1245.9	
693.1	5.263	1256.9	
682.0	5.308	1268.0	
676.2	7.219	1273.8	
670.5	6.49	1279.5	
664.7	4.472	1285.3	
658.9	9.266	1291.1	
653.2	7.969	1296.8	
649.5	9.964	1300.5	
645.9	8.491	1304.1	
642.2	7.009	1307.8	
638.5	3.377	1311.5	
634.9	2.689	1315.1	
626.2	7.02	1323.8	
617.4	5.203	1332.6	
608.7	7.864	1341.3	
599.9	7.243	1350.1	
591.2	6.66	1358.8	
582.9	8.826	1367.1	
574.6	9.398	1375.4	
566.3	11.829	1383.7	
557.9	9.467	1392.1	
549.6	14.717	1400.4	
540.5	7.594	1409.5	
531.4	7.031	1418.6	
522.3	14.488	1427.7	
513.3	11.056	1436.7	
504.2	11.846	1445.8	
500.7	15.043	1449.3	
497.3	14.939	1452.7	
493.8	16.022	1456.2	
490.4	16.119	1459.6	
487.0	13.957	1463.0	
467.6	18.306	1482.4	
448.2	14.288	1501.8	
428.8	18.273	1521.2	
409.4	14.08	1540.6	
390.1	10.871	1559.9	
376.6	11.778	1573.4	
363.2	12.482	1586.8	
349.8	14.418	1600.2	
336.4	13.418	1613.6	
323.0	9.954	1627.0	
309.0	11.847	1641.0	
295.1	14.298	1654.9	
281.2	16.815	1668.8	
267.3	14.487	1682.7	
253.3	12.253	1696.7	
242.8	9.924	1707.2	
232.2	11.856	1717.8	
221.7	12.767	1728.3	
211.2	18.864	1738.8	
200.6	10.362	1749.4	
187.6	22.357	1762.4	
174.7	20.355	1775.3	
161.7	25.178	1788.3	
148.7	22.62	1801.3	
135.7	13.013	1814.3	
127.7	16.862	1822.3	
119.7	19.158	1830.3	
111.7	20.259	1838.3	
103.7	34.594	1846.3	
95.7	18.552	1854.3	
78.4	16.743	1871.6	
61.1	17.761	1888.9	
43.8	38.02	1906.2	
26.4	27.423	1923.6	
9.1	29.347	1940.9	
-29.7	31.573	1979.7	
-67.6	30.048	2017.6	
-105.4	31.396	2055.4	
-143.2	20.074	2093.2	
-181.1	31.004	2131.1	
-193.7	19.121	2143.7	
-206.2	23.502	2156.2	
-218.8	28.022	2168.8	
-231.4	29.005	2181.4	
-244.0	27.732	2194.0	
-265.5	30.151	2215.5	
-286.9	35.441	2236.9	
-308.4	36.514	2258.4	
-329.9	31.216	2279.9	
-351.4	25.16	2301.4	
-377.2	23.61	2327.2	
-403.1	17.686	2353.1	
-429.0	23.61	2379.0	
-454.9	33.446	2404.9	
-480.8	28.798	2430.8	
-498.5	27.869	2448.5	
-516.3	32.901	2466.3	
-534.0	19.262	2484.0	
-551.8	29.587	2501.8	
-569.5	17.533	2519.5	
-589.4	14.326	2539.4	
-609.2	17.125	2559.2	
-629.0	18.632	2579.0	
-648.8	14.986	2598.8	
-668.6	21.867	2618.6	
-695.9	14.194	2645.9	
-723.3	12.678	2673.3	
-750.6	16.573	2700.6	
-778.0	21.138	2728.0	
-805.3	28.589	2755.3	
-823.6	28.278	2773.6	
-841.9	40.826	2791.9	
-860.2	35.85	2810.2	
-878.5	36.638	2828.5	
-896.8	31.541	2846.8	
-917.4	29.423	2867.4	
-938.1	27.524	2888.1	
-958.7	25.949	2908.7	
-979.4	30.235	2929.4	
-1000.0	29.588	2950.0	
-1021.3	28.73	2971.3	
-1042.5	32.769	2992.5	
-1063.8	33.446	3013.8	
-1085.0	17.206	3035.0	
-1106.2	26.855	3056.2