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ŐUMARSKI LIST 13/2011 str. 191     <-- 191 -->        PDF

V. TopiŠ, L. Butorac, G. JeliŠ: DRVNAI LISNAMASAU MAKIJAMAPLANIKE ... Őumarski list ľ Posebni broj (2011), 182-189


and on which measurements on vegetation was made and its basic structural
data stated, has 100 m2(table 1). Canopy on subplot amounts to 69,61%, the
medium height of sprout of strawberry tree is 1,61 m (maximal 2,30 m). Wood
and foliage mass on experimental plot was measured separately for every bush
as weight and volume, the independent estimation were the height of the bush,
diameter of the crown and number of sprouts on the trunk. The weight of wood
and leaf was measured in kg, the volume in m3, the height of the bush and diameter
of bush crown in m. The volume of wood in research maquis, on the area
of 100 m2, amounts to 0,095 m3, the volume of leaf 0,074 m3. The important part
of the research also comprises the model for quick and reliable estimation of
wood and leaf mass in these forest ecosystems. General lineal modelling was
used for development of the model.


In table 3 it is evident that the height and wood volume is in strong correlation
with number of sprouts on the trunk (r = 0,611) and bush height (r = 0,619)
and in very strong correlation with crown diameter (r = 0,846). The weight and
leaf volume are in strong correlation with bush height (r = 0,610), in very
strong with number of sprouts on the trunk (r = 0,775) and crown diameter
(r = 0,892). On the basis of number of sprouts on the trunk, bush height and diameter
of the crown, as independent variables, the weight and wood and leaf volume
of strawberry tree were estimated by univariate and multivariate
regression analysis. In table 4 and figure 4 the regression models for estimation
of weight and volume of wood and foliage of strawberry tree on experimental
plot 15 are shown. By univariate regression analysis the significant dependance
on weight and volume of wood and leaf with number of sprouts on the trunk,
height of bush and crown diameter was stated. The results show that the number
of sprouts explains 35,5% (▀ = 0,611; p<0,0001), the height of the bush 36,5%
(▀ = 0,619; p<0,0001), the crown diameter 70,7% (▀ = 0,846; p<0,0001) the
variability of the weight and wood volume. The number of sprouts on the explains
59,2% (▀ = 0,777; p<0,0001), the height of the bush 35,4% (▀ = 0,610;
p<0,0001) and crown diameter 79,0% (▀ = 0,893; p<0,0001) of variability of
leaf weight and volume. In figure 4, besides regression analysis of dependance
of weight and volume of wood and leaf on number of sprouts on the trunk and
diameter of the crown the equations of regression line beside the level of significance
of 5% were given.


By multivariate regression analysis (table 4) the significal dependance of
weight and tree volume and leaf with crown diameter was stated Td-(▀ = 0,756;
p<0,0001), Tl-(▀ = 0,843; p<0,0001), while the significance for bush height
was not stated Td-( ▀ = 0,142; p<0,233), Tl-( ▀ = 0,078; p<0,441).


The results of multivariate regression analysis show that the crown diameter
and height of bush explain 71,1% of variability of weight and volume of wood
(R2= 0,711) and 78,8% variability of weight and leaf volume (R2= 0,788).


All models can be applied for quick and reliable estimation of biomass of
species (wood and leaf) in maquis of strawberry trees, especially with variables
of crown diameter.


Key words:wood and leaf mass, maquis of strawberry tree, weight and
wood volume, weight and foliage volume, crown diameter. number of sprouts
on the trunk.