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Multiproxy dendroclimatology: a pilot study in northern FinlandDepartment of Geography, University of Wales Swansea, Swansea SA2 8PP, Wales, UK; d.mccarroll{at}swansea.ac.uk
Finnish Forest Research Institute, Rovaniemi Research Station, PO Box 16, FIN-96301, Rovaniemi, Finland
Department of Geosciences, PO Box 3000, 90014 University of Oulu, Finland
Department of Geography, PO Box 3000, 90014 University of Oulu, Finland
Department of Geography, University of Wales Swansea, Swansea SA2 8PP, Wales, UK
Institute for Wood Biology, University of Hamburg, Leuschnerstrasse 91, D-21031, Hamburg, Germany
Department of Geography, PO Box 3000, 90014 University of Oulu, Finland
Ten potential proxy measures of past climate were recovered from Scots pine (Pinus sylvestris) at three sites on a latitudinal transect close to the pine limit in northern Finland (earlywood, latewood and annual ring width; earlywood, latewood and maximum density; stable carbon isotope ratio; height increment; needle production; pollen deposition). Cambium dynamics were also monitored. The aim was to determine how climate influences each potential proxy and to decide which proxies are potentially useful for reconstructing climate. Height increment, needle and pollen production are strongly influenced by the temperature of the previous July, which is when the bud forms, but needle and particularly flower development may also be influenced by spring frosts. Maximum and latewood densities provide proxies of net photosynthesis.
Key Words: Tree rings • multiproxy approach • height increment • needle production • pollen • carbon isotopes • northern forests • treeline • cambium dynamics • pinning • dendrochronology • dendroclimatology • palaeoclimate • Finland
The Holocene, Vol. 13, No. 6,
829-838 (2003) This article has been cited by other articles:
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13C is controlled mainly by summer sunshine, reflecting the influence of photon flux on photosynthetic rate, and moisture stress which reduces stomatal conductance. By combining proxies, the strength of climate correlations is increased and the range of extractable parameters extended. The multiproxy approach provides a powerful means of extracting climatic information from long tree-ring chronologies. 
