SU1454316A1 - Method of determining indices of meteochronoligial change of annular radial increment of wood - Google Patents

Abstract

The invention is applicable in dendro-climatic and dendrochronological studies and, above all, in forest inventory and forest inventory. The purpose of the invention is to reduce the labor intensity. Cylindrical radial wood samples are taken from a trial batch of trees with a Pressler drill at chest height. Each annual radial growth of wood is synchronized and the annual gains belonging to different radial samples are synchronized. Then, in chronological order, the magnitude of the annual radial increment of each year is compared with the previous increment for each of the samples. Information about the chiology and the duration of the periods of increasing and decreasing the annual radial growth of wood is obtained, and the meteor-chronological indicator for each year is determined by the formula g Pg -, where CO is the meteorological indicator for each year; p is the number of wood samples in which the increment value of a given year exceeds the previous one; N is the total number of samples analyzed. 4 things. (L

Description

WITH

but

. The invention relates to the forest taxation and forest inventory and can be used for dendro-biological and dendrochronological research.

The purpose of the invention is a reduction in labor intensity.

Figure 1 shows the scale of indicators of meteochronological variability of the annual radial growth of wood (GRAP); FIG. 2 shows graphs illustrating annual variability: 1 — measured absolute values of the FIRS; 2 — calculated absolute values of the FOCR ij; in FIG. 3, graphs, where 1 is a graph illustrating the annual variability of relative values of 1., expressed as a percentage of 1 .; 2 - straight line at 96.26 + 0.4AZx, approximating broken line 1; 2 - conditionally expressed by a straight line plot of the age curve of sphagnum pines,

I having the following form: y +

 . "V

+ 0.81 (mm); figure 4 - shows a table in which the results are shown; Tests for measuring and analyzing variability in the frac.

The method is carried out as follows.

; A trial batch of trees taken; radial wood samples, usually I but at chest height (1.3 m). Next, I perform the dating of each GRAP I and synchronize the annual increments belonging to different radial samples.

The method of analyzing the variability of GRAP is to chronologically consistently compare the annual radial increments of each year with the closest chronologically preceding GRFA. Thus, information is obtained on the chronology and duration of the periods of increase and decrease of the GRAP

A significant variation in the annual radial growth rate (up to 50%) allows, in contrast to the known method, to analyze the growth variability (in the proposed method, comparison of the FPRD) without using expensive optical equipment, and, consequently, with lower labor costs.

In contrast to the known method, the relative annual variability

Meteorological conditions are quantitatively characterized not by PRPD indices, but by meteorological indicators, which are defined as the relative frequencies of occurrence of a positive GRAP response to a change of meteorological events in a given year. Indicators of the meteochronological variability of the annual radial growth of wood of plantations and forests are determined by the formula

.(one)

where nj: is the number of analyzed radial wood samples in which the increase in a given year exceeds the closest chronologically preceding GRAPD (piece);

N is the total number of analyzed wood samples (pcs.).

Annual increments equal to the nearest chronologically preceding GRDC are taken into account for: half of the unit (0.5 pcs.) Each. The values of the meteorological indicators are in the range from 0 to +1.0, which facilitates the comparability of the results of ana-LIZ and variability of the GRAP of different plantations and forests.

The fertility of forest soils, the hereditary characteristics of trees, their age and position in the stand, caused by the competition of individuals for their living space, affect only the absolute values of GRAPD, Toe. for the absolute value of the perennial average radial increment. Due to the fact that the proposed method does not use data from the measurement of GRAP, the information on the meteorchronological variability of the GRAP of forest plantations and forests does not contain information interference caused by these factors.

Meteorological conditions are the most variable forest growth factor, therefore the values of annual deviations from the multi-year average are mainly due to the total impact of weather conditions of a given year and all previous years of the studied chronological period on the GRDC. By calculating the values of deviations of meteorological indicators from their mean periodic period. formula value

tw 100 (),, (2)

1454316

where is the meteorological time-variability of the GRAP of the studied forest-body of a given year, plantation or forest massif.

Q - arithmetic mean valueExample. In sphagnum pine

meteorological indicators for V-ro age class and V-ro class

the studied period of time (and 0.50), bonitet in 10 trees with a drill Press to produce chronologically a sequence at chest height. The SRI jrwr is in the order of their approach to the wood samples (cores) All of the tree of variability analysis of the GRAP. If u belong to the same thickness level of information about meteochronological (from 22.1 to 26.0 cm), their average variability is GRAP, the expressed meteorometer is equal to 23.4 cm (coefficient of variance with chronological indicators, dan. - 4%), average the tree age is free from interference, the challenge is .89 years (the coefficient of variation is 7%).

data on the increase in data is therefore, trees, in which the last year of past weather conditions, half-taken cores, have the same rich chronological series of cumulative and hereditary signs, occupy in the water values characterizes the full and have the fraciness of GRAPD with the exception of the identical age indicators of its part, which is due to the age of growth.

the volume of trees, their hereditary prize - Figure 4 shows in a table in even numbers and position in the stand. pair data is given by Obtaining a mid-period meaningful comparison of the width of the SRPS for

MSB plantings or forest last 18 years of tree life.

array (i) accepted in the forest taxation - 25 Years of the studied period of the conditional method, i.e. by the division of size, designated by numbers from the 1st to the 18th,

For the whole study, the nearest previous moment for the number of years. In the current analysis, the year is designated as 1.

In this period, the mean sub-country value is known. The pairwise comparison was made based on the coefficient of variation of the GRAP (C;), it is possible to have the 18th year of the 18th year to the 1st. The tendencies to increase - to determine the absolute values of the GEF, - in this case, no increase denotes - not dependent on age trends on the + symbol, decrease - on the symbol, growth variability, according to the formula -. In the odd 1 rows of the table in coI, a fraction of a millimeter is given

.1 i + (Wr - W), (3) 35 GRAPD of all 10 cores for all 18 years

2; the study period. This is done for

where W is the cumulative value of this illustration of pair-wise visual comparison of the year (g), non-frac. Line 21 shows,

weather arithmetic mean abWP W, + w + Wj + ... + w; 40-solar values of the SRAP (i, see

figure 2, graph 1), in line 22 - for now.

W is the arithmetic mean cumul of the meteorological changeable value for the GRAP study (see fig. 1) in the stroma period (n years), ke 23 calculated from the formula (2)

at 1:45, the deviation of the meteorological chronological indexes from the mean-period value is the mean square deviation with percentage (w), and at strontium of cumulative values. 24 of them are cumulative values (W).

Comparing the chronological series of values, then, using formula (3), definitions 1 and a series of measured values were given the absolute values of the PTDD, not

GRAP ip, it is possible to determine the age tendency-dependent growth trend of the studied aggregate-variability of growth (1, see Fig.2,

trees for this purpose, in a phase-graphic 2). Results in line 25,

IT as a percentage of l}., Necessarygg Time series of values of ij. (line

smooth the resulting series relative -21) and l (line 25) are similar, the values of i ,. one of the famous ones, the assumption about

functions. Thus, we get ha-tom that the proposed method for eliminating the age tendency of informational interference caused by the influence of past weather conditions on the GRAPD (see fig, 2).

Figure 4 shows in the table such arithmetic mean values and standard deviations of i, CO and W.

The last row of the table shows the relative values of i. The percentage of I p (

I45a316

t

 89, respectively, equal to 96.7 and 103.3%. Differences in the relative values of GRAPD at the age of 72 and 89 years, calculated by the straight line equation and the age curve of the TT B.Byvinskas, are not significant in dp of such an object of research as wood growth (see Fig. 3). ASC1M, fig, 3, graph 1), Equation-10 equation Plant dendactions have a close converting dependence of relative values of i. from age, has the appearance;

at 96.26 + 0.443x,

g | de X - age of the stand;

I y - the relative value of i ,, expressed as a percentage of ij.

i (see Fig.3, chart 2).

i The coefficient Bt (a, 0.443) is the main parameter of the equation of direct linii, the degree of its reliability also reflects the presence or absence of a relationship between signs. The reliability of the difference between the coefficient and zero is estimated using the Student's criterion (it). The tabular value of the criterion - f the number of degrees of freedom 17-2 | 15 and 99.9% confidence level

consequently, the purpose of the invention is achieved.

The use of the proposed method for determining indicators meteorological.

The 15% variability of the annual radial growth of wood in plantations and forests is characterized by the absence of the need for expensive optical equipment 20 for measuring the ANNUAL radial growth of wood, the ease of determining the indicator values, which is especially important in those conditions when it is impossible to use counter-decisive technology ; the ability to quickly analyze the variability of the annual radial increment, which eliminates the need to transport fragile radial samples

l: | less calculated by the known form of wood; smaller compared to 1st | ula (4.073; 9.65). Therefore, in a known manner, labor costs at

analysis of variability of the annual radial growth of wood.

the f between X and-y really is- 1c1 and the value of the coefficient η | rationality of this regression line (aj. 0.443) is significantly different from zero,

: The literature describes the curves of the CVD of the dynamics of GRAP. Let us compare the fluted equation of the straight line with the plot of the age curve of the pine tree - kb of sphagnum, obtained by T.W.V-in; Incas, with an age of 72 and 89 years of tree life, which has the form :.

35

40

Claims (1)

Invention Formula The method for determining the meteorological variability of the annual radial wood increment, including the selection of radial wood samples from a test batch of trees, the analysis of annual increments synchronization and subsequent mathematical processing of analysis results, characterized in that, in order to reduce the complexity of the method, the analysis is carried out by chronologically consistent comparing the magnitude of the increment of each year with the previous increment for each of the samples, and the meteorological indicator for each year is determined by the formula. X 0.81, Where X is age; At .- value SRPD, mm. At X, 72, „x 89 y, 2.14 U, 1,885 mm, their average chesk value at 2,01. Since in this case we are interested in the similarity of age trends, it is advisable to calculate the relative values of y and y as a percentage of y, They are 93.7 and 106.3%, respectively, and the values of the function we obtained are 96.2 Â 40.443 x at X, 72 and x.  89, respectively, equal to 96.7 and 103.3%. Differences in the relative values of GRAPD at the age of 72 and 89 years, calculated by the straight line equation and the age curve of the TT B.Byvinskas, are not significant in dp of such an object of research as wood growth (see Fig. 3). Age-related trends have a close resemblance, therefore, the purpose of the invention has been achieved. The use of the proposed method for determining indicators meteorological. The 5% variability of the annual radial growth of wood in plantations and woodlands is characterized by the absence of the need for expensive optical equipment of scientific research institutes for measuring ANNUAL radial growths of wood; the proterity of determining the indicator values, which is especially important in those conditions when it is impossible to use counter-decisive technology ; the ability to quickly analyze the variability of the annual radial increment, which eliminates the need to transport fragile radial samples 35 0 five 0 Invention Formula The method for determining the meteorological variability of the annual radial wood increment, including the selection of radial wood samples from a test batch of trees, the analysis of annual increments synchronization and subsequent mathematical processing of analysis results, characterized in that, in order to reduce the complexity of the method, the analysis is carried out by chronologically consistent comparing the magnitude of the increment of each year with the previous increment for each of the samples, and the meteorological indicator for each year is determined by the formula. five Where WITH, p t  G, weather indicator for each year; the number of wood samples in which the value of gfi the growth of the year exceeded-N em is the value of the foremost; eight - total number of analyzed samples. it, Ir, HH -, e, FIG. but) 13 t 2yvy PI  J TK 75 77 79 tt and 15 “7 М 4; (pue. i- J.SS , V26sh 0.236 , 5Sr% dr 7ff% ei J.f