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Wyświetlanie 1-3 z 3
Tytuł:
Zastosowanie stratyfikacji w inwentaryzacji lasów różnowiekowych
Use of a stratification method in uneven-aged stands
Autorzy:
Banaś, J.
Powiązania:
https://bibliotekanauki.pl/articles/1022661.pdf
Data publikacji:
2005
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
fazy rozwojowe
stratyfikacja drzewostanow
drzewostany roznowiekowe
lesnictwo
inwentaryzacja lasu
forest inventory
stratification
stand developmental phase
Opis:
The paper presents a posteriori stratification method which was used in inventorying uneven−aged stands in an area of 727.70 hectares in the Forest Experimental Station in Krynica. The average growing stock amounting to 291 m3·ha−1 was calculated with the error of 1.6%. Volume increment at the level of 9.39 m3·ha−1 per year was calculated with a similar accuracy as the growing stock. The loss volume of 5.33 m3·ha−1 and ingrowth volume 0.73 m3·ha−1 per year was determined with the error slightly above 5%.
Źródło:
Sylwan; 2005, 149, 12; 30-36
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Inwentaryzacja martwego drewna statystyczną metodą reprezentacyjną z zastosowaniem warstw gatunkowo-wiekowych
Inventory of deadwood by the means of a statistical representative sampling method using species-age layers
Autorzy:
Bujoczek, L.
Bujoczek, M.
Banaś, J.
Zięba, S.
Powiązania:
https://bibliotekanauki.pl/articles/989002.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
drewno martwe
miazszosc drewna
zasoby drzewne
szacowanie zasobow
metody statystyczne
typy siedliskowe lasu
gatunki panujace
wiek drzewostanu
coarse woody debris
snags
measurements
accuracy
Opis:
According to the current forest management manual, deadwood volume should be evaluated on 10% of sampling plots, located in different species−age layers, which are used for determining stand volume in a given forest unit. Sampling plot size differs depending on tree stand age and ranges from 0.005 to 0.05 ha. The results are reported for the entire forest district and by forest site type. The objective of the study was to analyze the accuracy of deadwood volume estimations in the light of the guidelines stipulated in the forest management manual and to find the ways to improve the obtained results. Deadwood volume was measured on 2752 sample plots used to determine stand volume and the mean value calculated on that basis was 5.4 m³/ha. Subsequently, 30 random draws of sampling plots were performed. Estimates based on randomly selected pools consisting of 10% of sampling plots ranged from 3.5 to 8.6 m³/ha. Subsequently, another 10% of sampling plots were randomly drawn and added to the previous ones. The results for 20% of sampling plots were 4.5−7.0 m³/ha, for 30% – 4.3−6.4 m³/ha, for 40% – 4.6−6.4 m³/ha and for 50% – 4.7−6.0 m³/ha. In the next step, 225 sampling plots located in reserves and special zones around the nests of protected species were discarded. The mean volume of deadwood computed for the managed forest areas alone (2527 sample plots) was 4.7 m³/ha. The random drawing procedure was repeated to give the following results: 3.6−6.8 m³/ha for 10% of sampling plots; 3.8−5.8 m³/ha for 20%; 3.9−5.3 m³/ha for 30%; 4.2−5.3 m³/ha for 40%; and 4.2−5.1 m³/ha for 50% of sampling plots. The categorization of the randomly selected sampling plots by forest site type in most cases yielded results significantly differed from the values computed based on all sampling plots. It was found that estimates based on 10% of sampling plots may diverge considerably from true values due to the uneven distribution of deadwood. In particular, managed and unmanaged forest areas should not be combined due to the high differences in the volume of deadwood between them. If a relatively low number of sampling plots is used, it seems advisable to report results only for the forest division as a whole, without a breakdown into site types. Satisfactory estimates for the different forest sites types would require much more work. The use of a greater number of sampling plots than specified in the forest management manual seems to be a fundamental prerequisite for improving the accuracy of deadwood volume estimates.
Źródło:
Sylwan; 2017, 161, 02; 114-123
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie dekompozycji szeregów czasowych do analizy wahań podaży i cen drewna na przykładzie Nadleśnictwa Marcule
Time series decomposition of timber production volume and prices using the example of the Marcule Forest District
Autorzy:
Banas, J.
Kożuch, A.
Zaborski, K.
Powiązania:
https://bibliotekanauki.pl/articles/979561.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Panstwowe Gospodarstwo Lesne Lasy Panstwowe
Nadlesnictwo Marcule
rynek drzewny
drewno
podaz
ceny
zmiennosc sezonowa
szeregi czasowe
timber market
seasonal fluctuations
cyclic fluctuations
variation in timber prices
Opis:
The objective of the study was to identify and analyze long−term trends as well as cyclic, seasonal, and irregular effects in timber volume and prices by means of time series decomposition. The adopted multiplicative model was the product of all the time series components identified using the Census X11 method. The study material consisted of quarterly data on the volume and prices of timber sold by the Marcule Forest District (central Poland) in the years 2006−2018. Analysis was performed for the overall timber production volume, as well as separately for pine timber (constituting 86% of the total) and oak timber (5%), taking into account large−diameter saw timber (WC0) and medium−diameter industrial and general purpose timber (pulpwood, S2A). Over the analyzed period, the nominal prices of timber rose on average by 39% from 165 to 229 PLN/m3. The greatest price increase was recorded for large−diameter oak timber (by 100%), while the prices of WC0 pine timber, which accounted for the greatest proportion of the production volume, increased by 23% on average. Production characterized marked seasonality throughout the year, depending on the species. Pine timber sales were the lowest in 1st quarter and the highest in 3rd one, while oak timber sales were the lowest in 3rd quarter and the highest in 4th one. The seasonal effect accounted for the largest proportion of variation in timber production volume. The seasonality of timber prices was negatively correlated with production. The highest prices for pine and oak timber were obtained in 1st and 2nd quarters respectively, when the production volume of those timber species was the lowest. Conversely, the lowest prices were recorded in seasons characterized by the greatest production volume, i.e., in 3rd quarter for pine and in 4th quarter for oak. The decomposition of overall variation in timber prices into its components, which can be predicted (cyclic and seasonal fluctuations as well as long−term trend), and those that are difficult to forecast (irregular effect) is of great significance for timber sales management as the results can be used to improve timber price forecasting.
Źródło:
Sylwan; 2019, 163, 10; 820-829
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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