Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "lesistosc" wg kryterium: Temat


Wyświetlanie 1-8 z 8
Tytuł:
Perspektywy zwiększenia lesistości Polski w świetle planu przestrzennego zagospodarowania kraju
Perspektivy uvelichenija lesistosti Polshi v svete planov prostranstvennogo osvoenija strany
Perspectives of increasing the forest proportion in Poland in the light of the plan of spatial management of the country
Autorzy:
Lonkiewicz, B.
Powiązania:
https://bibliotekanauki.pl/articles/816597.pdf
Data publikacji:
1990
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Polska
lesistosc
lasy
plany zagospodarowania przestrzennego
wzrost lesistosci
Źródło:
Sylwan; 1990, 134, 03-12
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Lesnictwo a ekorozwoj
Autorzy:
Wilkowski, W
Powiązania:
https://bibliotekanauki.pl/articles/798270.pdf
Data publikacji:
1992
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
mechanizacja prac lesnych
sklad gatunkowy
drzewostany
melioracje lesne
Polska
lasy
monitoring srodowiska
granica rolno-lesna
lesnictwo
lesistosc
ekorozwoj
Źródło:
Zeszyty Problemowe Postępów Nauk Rolniczych; 1992, 401; 61-72
0084-5477
Pojawia się w:
Zeszyty Problemowe Postępów Nauk Rolniczych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Określanie lesistości Polesia Ukraińskiego na podstawie wyników klasyfikacji sezonowych obrazów kompozytowych Landsat 8 OLI
Estimation of forest cover in Ukrainian Polissia using classification of seasonal composite Landsat 8 OLI images
Autorzy:
Lakyda, P.
Myroniuk, V.
Bilous, A.
Boiko, S.
Powiązania:
https://bibliotekanauki.pl/articles/979663.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
Ukraina
Polesie
lesistosc
teledetekcja
zdjecia satelitarne
satelita Landsat 8 OLI
forest cover
remote sensing
random forest
ikonos−2
ndvi
Opis:
Training dataset for modelling of forest cover was created after classification of multispectral satel− lite imagery IKONOS−2 with spatial resolution 3.2 m (acquisition date – 12.08.2011). As a result, we created binary forest cover map with 2 categories: ‘forest’ and ‘not−forest’. That allowed us to compute the tree canopy cover for each pixel of Landsat 8 OLI, using vector grid with cell size of 30×30 m. Classification model was developed using training dataset that included 17,000 observations, 10,000 of them represented results of IKONOS−2 classification. Aiming to avoid errors of agricultural lands inclusion into forest mask because of lack of data, additionally we collected about 7000 random observations with canopy cover 0% that had been evenly distributed within unforested area. Random Forest (RF) model we developed allowed us to create continuous map of forests within study area that represents in each pixel value of tree canopy closeness (0−100%). To convert it into a discrete map, we recoded all values less than 30% as ‘no data’ and values from 30 to 100% as 1. Forest mask for two selected administrative districts of Chernihiv region (NE Ukraine) was created after screening map from small pixel groups that covered area less than 0.5 ha. Obtained results were compared with Global Forest Change (GFC) map and proved that GFC data can be used for forest mapping with tree canopy closeness threshold 40%. On considerable areas of abandoned agricultural lands in the analysed regions of Ukraine, forest stands are formed by Scots pine, silver birch, black alder and aspen. Existence of such forests substantially increases (on 6−8%) the forested area of Gorodnya and Snovsk districts of Chernihiv region – comparing to official forest inventory data. However, such stands are not protected and have high risks to be severed by wildfires, illegal cuttings with aim to renew the agricultural production, by diseases, insects and other natural disturbances.
Źródło:
Sylwan; 2019, 163, 09; 754-764
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
Tytuł:
Lesistość, wielkość pól i występowanie kukurydzy a poziom i tempo wzrostu populacji dzików w Polsce w latach 1999-2014
Level and growth rate of wild boar populations in relation to forest cover, crop field size and maize occurrence in Poland in the years 1999-2014
Autorzy:
Budny, M.
Panek, M.
Powiązania:
https://bibliotekanauki.pl/articles/989456.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
lowiectwo
zwierzeta lowne
dzik
Sus scrofa
populacje zwierzat
wzrost populacji
czynniki siedliska
obwody lowieckie
lesistosc
wielkosc gospodarstw
pola uprawne
kukurydza
sus scrofa
hunting bag
agricultural landscape
habitats
Opis:
The number of wild boars considerably increased in Poland at the beginning of the 21st century. We tested hypotheses that both the level of wild boar populations and rate of the increase in their numbers in Poland in the years 1999−2014 were dependent on some landscape factors, i.e. forest cover, crop field size and maize occurrence. Hunting bag was used as an index of wild boar abundance. The mean hunting bag of this species in the initial and final part of the study period was positively related to the forest cover and the mean size of farms (as an index of crop field size). In the final years also the occurrence of maize showed a positive effect (tab.). However, the index of wild boar bag growth rate decreased with the forest cover and the farm size. Higher increase in wild boar abundance occurred in regions characterized by lower forests share and fragmented crop fields, where the density of investigated species were lower than in regions with the mosaic of forests and large crop fields. The occurrence of maize significantly affected the growth rate index only in north−eastern part of the country (fig.). Our analysis showed that some evolution in wild boar – landscape relations took place in the recent period. Such changes may lead to an increase in conflicts with agricultural economy caused by this species.
Źródło:
Sylwan; 2016, 160, 12; 1020-1026
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wpływ lesistości i rodzaju gleb na jakość osobniczą rogaczy sarny na terenie Kielecczyzny
Impact of forest cover and the soil type on the quality of male roe deer in the Kielce region
Autorzy:
Wajdzik, M.
Konieczny, G.
Nasiadka, P.
Szyjka, K.
Skubis, J.
Powiązania:
https://bibliotekanauki.pl/articles/989593.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Leśne
Tematy:
lesnictwo
lowiectwo
zwierzeta lowne
sarna europejska
Capreolus capreolus
samce
rogacze
jakosc osobnicza
masa tuszy
masa poroza
dlugosc tyk
wymiary czaszki
czynniki siedliska
lesistosc
podloze glebowe
Kielecczyzna
roe deer
carcass
antlers
weight
forest cover
soil type
Opis:
The aim of the study was to verify the hypothesis that the quality of male roe deer hunted in the Kielce region depends on the selected characteristics of the place of their earlier habitat (forest cover, soil) and the age of the individuals. As a criteria to verify that hypothesis we chose carcass weight, weight and height of the antlers and skull dimensions. Material consisted of carcasses and antlers of 1349 bucks harvested in 169 hunting districts in the Kielce region (central Poland). We found that the individual quality of male roe deer was diverse. Significant impact was found for the forest cover, diversity of soil types and age of the individuals. Roe deer with the smallest carcass weight, having significantly lighter antlers occurred in areas with the forest cover of over 40% (tab. 1). In turn, in the filed−type circuits, where the forest cover does not exceed 20%, bucks were much heavier and imposed massive antlers (fig. 1). There was also evidence that in areas where the fertile soil dominated (rendzina and chernozems) individual quality of deer was significantly better than in districts where poor fawn and rust soils predominated (fig. 2). The examined environmental factors had the greatest impact on carcass or antlers weight, as well as the dimensions of deer skulls in case of the youngest bucks and their impact decreased with age. Optimum of the individual's development in terms of carcass weight and antler falls at the age of seven. Bucks harvested in the Kielce region, in comparison to the other populations in Poland, were characterized by good individual quality and slightly subsided only to individuals from the Lublin Upland (tab. 2).
Źródło:
Sylwan; 2016, 160, 05; 424-432
0039-7660
Pojawia się w:
Sylwan
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies