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Regular
research paper |
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Ground
vegetation carbon and its relation to climate and species richness |
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Jerzy
Solon, Ewa Roo-Zielińska |
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Institute of Geography and Spatial Organization, Polish Academy of
Science 00-818
Warsaw, Twarda 51/55; e-mail: j.solon@twarda.pan.pl,
e.roo@twarda.pan.pl |
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Abstract: Ten
pine forest sites located along the transect between 50o28’ and
70o09’ N were studied. The purposes of the present paper are: 1)
to determine the volume of the organic carbon pool in selected layers of the
analysed forest ecosystems (shrubs, herb layer, mosses and lichens, litter,
and the humus horizon of the soil); and 2) to elaborate the correlation-based
prediction models relating the organic carbon pools in these layers with the
selected variables characterising the climate and the species richness of the
pine forests. The results indicate a clear horizontal heterogeneity of the
ground layer in the pine forests considered. This is reflected, in particular,
through the differentiation of the carbon pool in particular places within the
ecosystem. There is a distinct geographical variability in the carbon pool
among the sites in particular layers, with the average annual and January
temperatures having the largest influence on this variability. However, in
different cases there are different combinations of the factors describing
these relations in the best way. The relations between the carbon pool and the
species richness of the sites along the transect show that either the minimal
carbon pool occurs at sites of an average species richness, or there is no
relation between these variables. The analysis implies that there are two
points of the transect at which various characteristics of the system undergo
an abrupt shift. The first of them is equivalent to the passage of the annual
+1oC isotherm, while the second at approximately 5–6oC.
There is the possibility that these regularities occur within the entire range
of the pine forests. |
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Key words: carbon
pool, biomass, species richness, dwarfshrubs, mosses, lichens, climate factors,
geographical variability |