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Wyświetlanie 1-2 z 2
Tytuł:
Wpływ fragmentacji kompleksów leśnych na dokładność określania powierzchni lasów na przykładzie województwa łódzkiego
Impact of forest complexes fragmentation on accuracy of forest area evaluation on an example of Lodz voivodeship
Autorzy:
Budniak, P.
Jabłonski, M.
Zięba, S.
Powiązania:
https://bibliotekanauki.pl/articles/979213.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
fragmentacja lasow
powierzchnia lasów
kompleksy leśne
leśnictwo
woj.łódzkie
forest complex
fragmentation
land use
Opis:
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.
Źródło:
Sylwan; 2020, 164, 02; 142-150
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wielkoobszarowa inwentaryzacja stanu lasu źródłem informacji o powierzchni lasów w Polsce
Forest area in Poland based on national forest inventory
Autorzy:
Jabłoński, M.
Mionskowski, M.
Budniak, P.
Powiązania:
https://bibliotekanauki.pl/articles/985910.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Polska
lasy
lesistosc
powierzchnia lasow
zrodla informacji
inwentaryzacja lasu
inwentaryzacja wielkopowierzchniowa
forest definition
land use
land cover
nfi
cluster sampling
Opis:
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.
Źródło:
Sylwan; 2018, 162, 05; 365-372
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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