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Metoda wyróżniania kompleksów leśnych na podstawie ciągłości obszarów leśnych i zadrzewionych

100%

Budniak P.

Sylwan

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2020

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tom 164

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nr 10

The aim of this study was to present a method for assessing the connectivity of forest areas and the rules for generalisation of forest patches as the spatial planning units. The analyses were carried out for the entire area of Poland. Topographic maps (vector data) as well as software for spatial analysis (QGiS) and database analyses were used. Method of generalisation of forest patches involved two stages. The first one included separation of continuous forest areas consisting in the identification of patches located at a maximum distance of 50 m from each other. Patches generalised into continues forest areas were distributed among eight area classes: over 50 000 ha, 25 000,1−50 000 ha, 500,1−25 000 ha, 200,1−500 ha, 25,1−200 ha, 5,1−25 ha, 0,6−5,0 ha and up to 0,5 ha. The other step included separation of isolated continuous forest patches, which means patches that were out of the range of continuous forest areas in higher area classes. Ranges of continuous forest areas were calculated using 500 m buffer. Results of this study shows that forest patches cover 33,9% of Polish land area. Methods used in this study allowed to reduce input number of patches (764,850) by over 50% up to 338,682 ones. Generalisation of data caused changes in the landscape metrics: mean patch size more than doubled, patch density decreased by more than half, and the largest patch index increased very strongly (forty five times). Based on the literature review and results obtained in this research, it was found that in Poland afforestation intended to conservation of specialized forest species should focus on creating ecological corridors between distinguished forest patches (continuous forest areas). With the current forest cover and forest spatial structure in Poland, afforestation intended to conservation of specialized forest species by reducing edge effect in existing forest patches remains also important, but rather is a secondary need.

2

Szacowanie nadziemnej biomasy drzewnej lasów w Polsce na potrzeby sprawozdawczości EKG/FAO i UNFCCC

63%

Jablonski M., Budniak P.

Leśne Prace Badawcze

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2014

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tom 75

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nr 3

3

Prędkość propagacji fali dźwiękowej w pniach olszy czarnej Alnus glutinosa (L.) Gaertn. w zależności od temperatury

63%

Orzechowski M., Budniak P.

Leśne Prace Badawcze

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2013

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tom 74

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nr 4

4

Struktura lasów w Polsce na podstawie danych wielkoobszarowej inwentaryzacji stanu lasu

51%

Jabłonski M., Wysocka-Fijorek E., Budniak P.

Sylwan

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2017

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tom 161

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nr 04

In most of European countries, basic information about forests that is used for its monitoring and formulation of national policies comes from the National Forest Inventories (NFIs). Assessment of forest resources at the national level was initiated in Poland in 2005. In 2014, the second cycle of NFI was completed. Since 2010, results of NFI are the main source of information about the amount of forest resources in Poland, their structure and condition. In the paper, we analyse the indicators of forest structure. Classification of forest categories (forested, temporary non−forested, related to forestry), vertical stand structure, species composition and age structure determined directly from NFI's sample plots were compared with descriptions of stands in which plots are located. Data from more than 29,000 NFI sample plots measured in 2010−2014 were analysed. Our results demonstrate that the share of temporary non−forested areas (resulting from management practices) assessed from NFI plots is higher than this based upon the stands description (3.9% and 1.8% respectively). We also observed that results of NFI show the huge discrepancy in percentage of land related to forestry (forest roads generally) in forests of private property comparing to cadastral data (1,2% and 0,04% respectively). Most of forests in Poland (92% based on NFI) are single−layer stands. But it should be emphasised that NFI indicate more than twice higher share of two−layer stands (4.8%) than that resulting from description of stands in which samples are located (2.2%). However, only one third of NFI plots located in two−generation and uneven−aged stands was assessed in the same way. On 80% of sample plots dominant species was in accordance with stand description. On 85% plots there were compatibility of the age of dominant species with age recorded in forest management plans. The results of our research confirm that description of the entire diversity of forests by any of the indicators is not practically possible. Simplifying the forests description occurs during NFI measurements as well as within forest management planning. However, some issues need clarification and additional analysis when NFI is used as a source of forest structure. NFI plots with maximal size of a few hundred square meters seem to be too small to observe vertical structure of stands. On the other hand, it should be recognized whether division of the sample plots into smaller sections does not cause overestimation of the area of temporary non−forested land.

5

Wielkoobszarowa inwentaryzacja stanu lasu źródłem informacji o powierzchni lasów w Polsce

51%

Jablonski M., Mionskowski M., Budniak P.

Sylwan

|

2018

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tom 162

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nr 05

Forest area in Poland is annually evaluated as a part of public statistics research. However, this information is based on land use resulting from Land and Property Register (LPR). Delays in the reclassification of afforested land, as well as the natural expansion of trees on abandoned agricultural lands, observed over the last decades, caused that information from LPR becomes unreliable. In many countries forest area is assessed within the National Forest Inventories (NFIs) based upon systematic grid of sample plots. NFI in Poland has been performed since 2005, in 4×4 kilometre grid with clusters consisting of five plots. Until 2014 measurements were made only on these sample plots which were located in forest according to LPR records. Within the 3rd NFI cycle (2015−2019) the areas fulfilling the criteria of forest definition, but located on non−forest land referring to LPR, has become the object of study. The aim of this work is to present statistical approach for evaluation of forest area using NFI cluster sampling data. Additionally, results from two year measurements (2015−2016) were analysed and compared with LPR data. Attributes of NFI plots allow to apply national forest criteria as well as the land use and land cover thresholds recommended by Food and Agriculture Organization of the United Nations or Kyoto Protocol. Our research shows that forest cover in Poland is in the range of 32.8−33.0%, depending on forest definition used, and is almost 3% higher than official LPR data (30.1%). The standard error of forest cover, based on two years NFI data is 0.44. Thus, with 95% probability the true value of this parameter lies between 31.9 and 33.7%, while country thresholds of forest definition are used. Additionally it was assessed that using the entire NFI cycle data the standard error of forest cover should be lower i.e. less than 0.3. The National Forest Inventory seems to be an appropriate tool for monitoring forest area in Poland.

6

Wpływ fragmentacji kompleksów leśnych na dokładność określania powierzchni lasów na przykładzie województwa łódzkiego

51%

Budniak P., Jablonski M., Zieba S.

Sylwan

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2020

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tom 164

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nr 02

Every year official data on forest area in Poland is published by the Statistics Poland. Some of this data is based on land use information contained in the Land and Property Registry (LPR). The aim of this study was to examine compliance between forest areas obtained from official land use maps and from aerial photos. Another purpose was to investigate the impact of forest complexes fragmentation on the accuracy of forests area evaluation, using land use data. The Łódź voivodeship was selected as the study area and 280 sample plots (1 km²) were established in systematic 8×8 km grid on aerial photos. Forest areas were manually inventoried using GIS software and compared with LPR maps. In the next step inventoried forests were combined into complexes using spatial analysis. The results from this study demonstrate that 3,4% of the Łódź voivodeship is covered by forest vegetation on lands not recorded as a forest in the LPR. Therefore real value of forest area is possibly higher than those based upon data published by Statistics Poland. Additionally, the part of lands with forest vegetation not recorded as a forest in LPR in total forest area has a statistical relationship with forest complex fragmentation. Much of inventoried forest complexes (41%) officially are not considered as such because of different land use record in LPR. However, our research shows that most of them (given area not the number of objects) is located in forest complexes partly recorded in LPR with correct land use record.

Ograniczanie wyników

4 Sylwan

2 Leśne Prace Badawcze

6 Budniak P.

3 Jablonski M.

1 Jabłonski M.

1 Mionskowski M.

1 Orzechowski M.

1 Wysocka-Fijorek E.

1 Zieba S.

2 2020

1 2018

1 2017

1 2014

1 2013

Metoda wyróżniania kompleksów leśnych na podstawie ciągłości obszarów leśnych i zadrzewionych

Szacowanie nadziemnej biomasy drzewnej lasów w Polsce na potrzeby sprawozdawczości EKG/FAO i UNFCCC

Prędkość propagacji fali dźwiękowej w pniach olszy czarnej Alnus glutinosa (L.) Gaertn. w zależności od temperatury

Struktura lasów w Polsce na podstawie danych wielkoobszarowej inwentaryzacji stanu lasu

Wielkoobszarowa inwentaryzacja stanu lasu źródłem informacji o powierzchni lasów w Polsce

Wpływ fragmentacji kompleksów leśnych na dokładność określania powierzchni lasów na przykładzie województwa łódzkiego