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The paper analyzes two methods of deadwood (DW) measurements on circular sampling plots. In the first method, the volume of DW is measured within the circumference of the sampling plot irrespective of the fact whether the live tree was located inside or outside the plot. The other method requires the measurement of only that DW, which can be attributed to trees that originally grew within the sampling plot. This requires identification all debris fragments originating from those trees both within and outside the sampling plot. Additionally, the paper compares the results obtained using Smalin's and Huber's formulas and discusses the influence of decomposition stage on the calculated volume of lying deadwood. Measurements were conducted in two stands. In each of them 20 circular sampling plots (4 or 5 ares) were established. In both stands, the second investigated measurement method led to a lower mean DW volume (by 6.3% and 27.2%). In practice, it was very difficult to identify DW from the outside of the sampling plots as high trees growing close to the plot had their fragments lying up to several dozen meters away. If a tree was very fragmented upon falling, it was difficult to find all the relevant pieces of DW and determine whether they derived from the sampling plot or not. The volume of lying DW calculated according to Smalin's formula was by 5% higher. In case of 7.7% of the 194 inventoried fragments of lying DW the transverse cross−section changed from circular to misshapen. The application of formulas accounting for decomposition decreased the calculated volume of lying DW by 5.1%. Taking into consideration the time−effectiveness and accuracy of measurements, it has been found that for most stands the best method is to measure the ends of DW pieces, calculating the length of segments from polar coordinates (using the measurement principles presented in the figures). In addition, especially in measuring large trees, one should take into account changes in shape attributable to decomposition, which may influence the calculation of DW volume. It is recommended that all DW fragments within a circular sampling plot should be measured irrespective of whether the tree from which they derive grew inside or outside the plot.
The work studied the effects of site conditions on the amount of deadwood (DW) in managed forests in south−western Poland. Measurements included standing dead trees, snags with a diameter at breast height of at least 7 cm, and lying deadwood (logs, branches, uprooted trees, etc.) with a diameter at the thicker end of at least 10 cm. The study excluded snags and deadwood pieces with a diameter of less than 7 cm as well as stumps. Site conditions are presented according to the Polish site classification system taking into account both site fertility and water abundance. With respect of the fertility gradient, sites are classified as dystrophic, oligotrophic, mesotrophic, and eutrophic. In terms of water abundance, there are two types of sites: mesic (low or very low contribution of groundwater, rainwater, and floodwater, with an approximate springtime water table depth of more than 1.8 m) and moist (moderate or considerable contribution of groundwater, rainwater, and floodwater, with an approximate springtime water table depth of 0.5−1.8 m). We analyzed data from 2522 sampling plots with area ranging from 50 to 500 m² and depending on forest stand age. The plots were established in forest stands older than 21 years old. The predominant tree species in the study area were Pinus sylvestris, Quercus robur, Quercus petraea, Betula pendula, Fagus sylvatica, Alnus glutinosa, Fraxinus excelsior and Picea abies. In a separate analysis of data from 233 sampling plots, we studied the relationship between DW volume and the site index evaluated using a five−level classification (level I denotes sites with the highest productive capacity). Forest stands aged >80 years with the dominance of Pinus sylvestris were studied. The study showed a significant influence of site conditions on the DW volume in managed forests. Forest stands exhibiting better site conditions not only provided more timber, but also contributed with a greater amount of deadwood to the ecosystem. Forest stands with a site index of I contained as much as 4.9 m³ of DW/ha, while stands with a site index of III only 2.4 m³ of DW/ha. In terms of the 8 studied site types, it was also found that the average volume of DW increased with site fertility. The lowest volume of DW occurred on very nutrient−poor and mesic sites (0.6 m³/ha). In contrast, nutrient−rich and moist sites contained 15 times as much DW (9.5 m³/ha). Of paramount importance was water abundance. The volume of DW on moist sites was on average by 2.2−4.5 m³/ha higher than on mesicsites with the same fertility.
Managed forests, which account for the vast majority of woodland areas in Poland, play a major role in preserving biodiversity. The objective of this work was to determine the diversity of woody microsites in a managed forest covering 27 ha of land in Polanów Forest District (north−western Poland). The study was conducted in 2014 on 20 sampling plots with an area of 0.04 ha each. An inventory of deadwood was conducted involving standing dead trees, snags, stumps, and lying deadwood with a diameter of at least 7 cm (in the case of standing deadwood, the diameter was measured at breast height). Deadwood was classified according to a five−level decay scale. The studied forest was found to contain an average of 26.9 m³/ha of deadwood from several tree species. Lying deadwood accounted for 17.3 m³/ha, standing dead trees for 0.9 m³/ha, snags for 4.9 m³/ha, and stumps for 3.8 m³/ha. Deadwood in all decay stages was identified. The most abundant category of deadwood was moderately decomposed wood in decay stage III (31.3%), followed by decay stage II (24.4%), and decay stage IV (19.7%). Deadwood (both standing and lying) was also very diverse in terms of piece diameters. The diameter at breast height of standing dead trees was up to 26 cm, and that of snags up to 50 cm. The thickest pieces of lying deadwood were 48 cm in diameter. However, pieces of less than 35 cm in diameter accounted for 96% of the total volume of lying deadwood. The volume of deadwood in the studied forest stand was very large, much higher than the average for Polish forests in general (5.8 m³/ha). Deadwood was highly varied and contributed to a substantial diversity of organisms that depend on it, as shown by previous research. Wapienny Las is an example of a managed forest that plays an important role in preserving woodland biodiversity.
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.
In 2015, approximately 38.5 million m³ of round wood was harvested in Poland, and this volume is constantly growing. Scots pine (Pinus sylvestris L.) occupies about 58.5% of the forest area in Poland and is the species of the most economic importance. Along with the changes in the timber market, mainly due to the development of technology for the harvesting and processing of wood raw materials, the consumers interest in stem wood has increased. The State Forests in Poland have developed their own system for timber volume calculation that is based on the measurement of the under−bark diameter at the thinner end of the log. The aim of the study was to evaluate the accuracy of three methods of determining the harvested timber volume: Huber's and Smalian's dendrometric formulas and the method currently used by the State Forests. The study was conducted in the Choczewo Forest District (N Poland). In total, 193 logs collected from five forest ranges and from two forest habitats (fresh mixed broadleaved and fresh mixed coniferous forest) were measured. The relative error calculated as the relative difference between log volume obtained by the dendrometric formula and the real volume determined with section−wise method was statistically analysed. Mean errors obtained with all tested methods of volume determination differ significantly from zero, which indicates the systematic error of volume determination. The greatest errors are generated by the method used by the State Forests. The volume obtained with this method is underestimated on average by over 14%.
The State Forests, National Forest Holding operates on the principle of financial independence, and the sale of wood is the primary source of income of the institution. Raw wood is sold with the bark, although the registry applies to the wood without bark. It was hypothesized that the method of bark volume reduction may have a significant impact on the registered volume. The material collected in the Płaska Forest District was used to assess the impact of method of bark volume reduction presented in the PN−D−95000:2002 standard on the volume of Scots pine logs in thinned and harvest stands growing on fresh coniferous forest habitat. Analysis of the accuracy and precision of each method were carried out on the basis of sectional measurements of 180 logs (90 per stand type). Four methods were compared: table deduction depending on the diameter of the stem (method 1), measurement of bark thickness with manual bark gauge (method 2a), mechanical removal of the bark using a spokeshave at the place of measurement (method 2b), and calculation of the log volume with Huber formula and subsequent subtraction of the bark volume determined based on special ratio (method 3). All methods caused negative systematic error, and thus have a constant tendency to underestimate the volume of Scots pine logs. At the same time, the underestimated log volume varies depending on the method used. To the greatest extent it is lowered using method 1, as it differs significantly from the other methods. Slightly smaller errors are characterized by the method 2a, for which the average error rate also differs from the other methods. The smallest errors are provided by methods 2b and 3, between which we found no significant differences. Analyses indicate that the preferred method of determining the volume inside bark is a mechanical removing of bark, measuring the diameter without bark and calculation of the volume with Huber formula. It is also noteworthy to take into account the deduction percentage of bark in the logs of large−sized wood.
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