Liutsko, L: What trees tell us about Dendrological and statistical analysis of data
-
- Englisch ausgewählt
Fr. 76.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
01.02.2009
Verlag
VDMSeitenzahl
68
Maße (L/B/H)
22/15/0.4 cm
Gewicht
110 g
Sprache
Englisch
ISBN
978-3-639-12268-8
Trees are a great bank of data, named
sometimes as
the silent witnesses of the past. Due to annual
formation of rings, which is normally influenced
directly by of climate parameters (generally changes
in temperature and moisture or precipitation) and
other environmental factors.
Using dendrochronological methods for
obtaining
samples of Pinus Nigra from the Catalonian
PrePirineous region with total time spine of about
100 - 250 years were analyzed for the tree ring width
(TRW) patterns and had quite high correlation between
them (0.71 0.84), corresponding to a common
behaviour for the environmental changes in their
annual growth.
Analyzing the cross-correlations between obtained
tree ring width indexes and climate data, significant
correlations (p0.05) were observed in some lags.
These results confirm the hypothesis of using
dendrochronological data as a climate signal for
further analysis, such as reconstruction of climate
in the past or prediction in the future for the same
locality.
sometimes as
the silent witnesses of the past. Due to annual
formation of rings, which is normally influenced
directly by of climate parameters (generally changes
in temperature and moisture or precipitation) and
other environmental factors.
Using dendrochronological methods for
obtaining
samples of Pinus Nigra from the Catalonian
PrePirineous region with total time spine of about
100 - 250 years were analyzed for the tree ring width
(TRW) patterns and had quite high correlation between
them (0.71 0.84), corresponding to a common
behaviour for the environmental changes in their
annual growth.
Analyzing the cross-correlations between obtained
tree ring width indexes and climate data, significant
correlations (p0.05) were observed in some lags.
These results confirm the hypothesis of using
dendrochronological data as a climate signal for
further analysis, such as reconstruction of climate
in the past or prediction in the future for the same
locality.
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