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Wyszukujesz frazę "Jablonski, P." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Szacowanie nadziemnej biomasy drzewnej lasów w Polsce na potrzeby sprawozdawczości EKG/FAO i UNFCCC
Estimating above-ground woody biomass of forests in Poland for UNECE/FAO and UNFCCC reporting
Autorzy:
Jablonski, M.
Budniak, P.
Powiązania:
https://bibliotekanauki.pl/articles/46428.pdf
Data publikacji:
2014
Wydawca:
Instytut Badawczy Leśnictwa
Tematy:
lesnictwo
zasoby lesne
biomasa drzewna
drzewa lesne
biomasa nadziemna
wskaznik BEF
wskaznik BCEF
sprawozdawczosc miedzynarodowa
wytyczne IPCC
wskaznik ekspansji zob. wskaznik BEF
wskaznik konwersji i ekspansji zob. wskaznik BCEF
Źródło:
Leśne Prace Badawcze; 2014, 75, 3
1732-9442
2082-8926
Pojawia się w:
Leśne Prace Badawcze
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
Tytuł:
Struktura lasów w Polsce na podstawie danych wielkoobszarowej inwentaryzacji stanu lasu
Structure of forests in Poland based on National Forest Inventory data
Autorzy:
Jabłoński, M.
Wysocka-Fijorek, E.
Budniak, P.
Powiązania:
https://bibliotekanauki.pl/articles/987174.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Polska
lasy
struktura lasu
inwentaryzacja lasu
inwentaryzacja wielkopowierzchniowa
powierzchnie probne WISL
drzewostany
cechy taksacyjne
gatunki panujace
struktura pionowa
struktura wiekowa
forest structure indicators
forest description
nfi
Opis:
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 manage− ment 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 recog− nized whether division of the sample plots into smaller sections does not cause overestimation of the area of temporary non−forested land.
Źródło:
Sylwan; 2017, 161, 04; 267-276
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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