# Forbes - Varandei - SALA - ITRDB RUSS208 #----------------------------------------------------------------------- # 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 original publication, online resource and date accessed when using these data, # If there is no publication information, please cite investigator, title, online resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/11228 # Description: NOAA Landing Page of study # Online_Resource: https://www1.ncdc.noaa.gov//pub/data/paleo/treering/chronologies/asia/russ208r-noaa.crn # Description: Chronology - NOAA Template File # # Original_Source_URL: https://www1.ncdc.noaa.gov/pub/data/paleo/treering/chronologies/asia/russ208r.crn # Description: Chronology - Tucson Decadal File # # Archive: Tree Ring # # Dataset_DOI: # # Parameter_Keywords: ring width #------------------- # Contribution_Date # Date: 2011-06-06 #------------------- # File_Last_Modified_Date # Date: 2018-12-19 #------------------- # Title # Study_Name: Forbes - Varandei - SALA - ITRDB RUSS208 #------------------- # Investigators: Forbes, B.C.; Macias Fauria, M.; Zetterberg, P. #------------------- # Description_Notes_and_Keywords # Description: NOAA Template Chronology file added 2018-12-19. #------------------- # Publication # Authors: # Journal_Name: Global Change Biology # Published_Title: Russian Arctic warming and 'greening' are closely tracked by tundra shrub willows # Published_Date_or_Year: 2010 # Volume: # Pages: # Report_Number: # DOI: 10.1111/j.1365-2486.2009.02047.x # Full_Citation: Forbes, B.C., M. Macias Fauria, and P. Zetterberg. 2010. # Russian Arctic warming and 'greening' are closely # tracked by tundra shrub willows. # Global Change Biology 16: 1542-1554. # DOI: 10.1111/j.1365-2486.2009.02047.x # Abstract: Growth in arctic vegetation is generally expected to increase # under a warming climate, particularly among deciduous shrubs. # We analyzed annual ring growth for an abundant and nearly # circumpolar erect willow (Salix lanata L.) from the coastal # zone of the northwest Russian Arctic (Nenets Autonomous Okrug). # The resulting chronology is strongly related to summer # temperature for the period 1942?2005. Remarkably high # correlations occur at long distances (>1600 km) across # the tundra and taiga zones of West Siberia and Eastern Europe. # We also found a clear relationship with photosynthetic activity # for upland vegetation at a regional scale for the period 1981-2005, # confirming a parallel 'greening' trend reported for similarly # warming North American portions of the tundra biome. # The standardized growth curve suggests a significant # increase in shrub willow growth over the last six decades. # These findings are in line with field and remote sensing studies # that have assigned a strong shrub component to the reported greening # signal since the early 1980s. Furthermore, the growth trend agrees # with qualitative observations by nomadic Nenets reindeer herders # of recent increases in willow size in the region. The quality of # the chronology as a climate proxy is exceptional. Given its wide # geographic distribution and the ready preservation of wood in # permafrost, S. lanata L. has great potential for extended # temperature reconstructions in remote areas across the Arctic. # # #------------------- # Site_Information # Site_Name: Varandei # Location: Russia # Northernmost_Latitude: 68.65 # Southernmost_Latitude: 68.65 # Easternmost_Longitude: 58.3667 # Westernmost_Longitude: 58.3667 # Elevation: 30 #------------------- # Data_Collection # Collection_Name: RUSS208 # Earliest_Year: 1921 # Most_Recent_Year: 2005 # Time_Unit: AD # Notes: #------------------- # Species # Species_Name: Salix lanata L. # Common_Name: Richardson's willow # Tree_Species_Code: SALA #------------------- # Chronology_Information # Chronology: #--------------------- # Variables # variables format: shortname var components: what,material,error,units,season,archive,detail,method, C or N for Char or Numeric data,additional information ## age_CE age,,,year Common Era,,tree ring,,,N, ## trsgi tree ring standardized growth index,,,,,tree ring,composited,residual,N, ## numsamp number of samples,,,count,,tree ring,,,N, # #-------------------- # Data: # Missing_Values: -999 age_CE trsgi numsamp 1921 2241 1 1922 705 1 1923 1299 1 1924 982 1 1925 983 1 1926 506 1 1927 966 1 1928 1631 1 1929 505 1 1930 211 1 1931 824 1 1932 961 1 1933 975 1 1934 880 1 1935 1112 1 1936 780 1 1937 955 1 1938 1185 1 1939 1049 1 1940 1059 1 1941 734 1 1942 1457 1 1943 1051 1 1944 886 1 1945 1231 1 1946 962 1 1947 646 1 1948 744 1 1949 371 1 1950 469 1 1951 1120 1 1952 1083 1 1953 1056 1 1954 1072 1 1955 1119 1 1956 1375 1 1957 1232 1 1958 883 1 1959 1214 1 1960 1077 1 1961 847 1 1962 851 1 1963 983 1 1964 1102 1 1965 1066 1 1966 1071 1 1967 1560 1 1968 536 1 1969 895 1 1970 885 1 1971 758 1 1972 723 1 1973 703 1 1974 1093 1 1975 635 1 1976 1454 1 1977 1284 1 1978 657 1 1979 1007 1 1980 627 1 1981 1105 1 1982 950 1 1983 1338 1 1984 1461 1 1985 993 1 1986 567 1 1987 1155 1 1988 1227 1 1989 1005 1 1990 911 1 1991 980 1 1992 895 1 1993 1654 1 1994 1200 1 1995 1347 1 1996 838 1 1997 756 1 1998 1285 1 1999 592 1 2000 1087 1 2001 617 1 2002 709 1 2003 965 1 2004 1176 1 2005 921 1