
of varve counting error can be expected to be around 2%,
and at best it yields an accuracy of 1%, as in Lakes Kassjön
and Nautajärvi (central Finland) (Ojala and Saarinen, 2002).
Corresponding chronological accuracy has been postulated for
the Holocene part of Greenland ice core records (Alley, 2000).
Nonglacial Holocene varves have also been applied in assign-
ing ages in relative sediment dating methods, such as paleo-
magnetic reference curves and widely distributed tephra layers.
In Fennoscandia, Ojala and Saarinen (2002) and Snowball
and Sandgren (2002) dated the features of paleomagnetic
secular variation curves using the varve chronology of nearly
10,000-year-long sections of clastic-organic varves, whereas
Zillén et al. (2002) assigned varve ages to several tephra layers
deposited in southern Sweden in the Mid-Holocene.
Recently, the application of varve records has transformed
from providing stratigraphical and chronological tools to
being high-resolution indicato rs of the paleoenvironment,
and in particular, they are being used as a tool to study the
effects of climate forcing during the Holocene. Advancements
in sediment sampling (e.g., epoxy-embedding, thin section-
ing) combined with digital image analysis have provided an
effective means to record and study the physical properties
of varves with a high temporal resolution. Proglacial lakes
in the Canadi an Arctic are perhaps the most carefull y studied
environments (Hardy et al., 1996; Hughen et al., 2000;
Lamoureux et a l., 2001). Physical varve data (varve thickness,
laminae thickness) have been shown to be strongly correlated
with summer temperatures through their effects on the inten-
sity of snowmelt runoff and the discharge of suspended sedi-
ment. In Fennoscand ia, fluc tuatio ns of clastic-organic varves
have been correlated with winter climate components, namely
temperature and the amount of precipitated snow in the catch-
ment. Based on such connections, it is possible to reconstruct
past climatic conditions, thereby providing important kno wl-
edge about the global climate system in order to better predict
the future.
Matti Saarnisto and Antti E. K. Ojala
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Cross-references
Continental Sediments
Dating, Magnetostratigraphy
Glacial Sediments
Ice Cores, Antarctica and Greenland
Lacustrine Sediments
Tephrochronology
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