Wyniki wyszukiwania - AGRO

1

Skutki lipcowego huraganu i ulewy w wojewodztwie koszalinskim

100%

Gornas Z.

Informator. Ośrodek Doradztwa Rolniczego Bonin

|

1996

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nr 09

11

2

Po huraganie

100%

Trzaskowski S.

Aura

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2002

|

nr 10

6-8

In the early July, a hurricane swept through the north-east Poland inflicting damage to Kurpiowska Forest, Piska Forest and Borecka Forest and some areas of the Romnicka and Augustowska Forests at a scale unprecedented in the history of Polish forestry. The damage occurred on the total area of 33 000 hectares and 17 000 hectares were totally devastated. About 3 million cubic meters of timber has to be managed, and some 1,5 mln m² needs to be disposed of and managed to avoid decay and proliferation of insect able to decimate woodlands. Nature reserves will be created on some of the devastated areas and woodland will be allowed to recover without management. This will allow to study a range of issues related to forest management.

3

Sprzątanie po huraganie

86%

Grabowska K.

Nowa Gazeta Leśna. Miesięcznik Wszystkich Pracujących w Lesie

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2013

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nr 01

4

Problemy zagospodarowania lasu na terenie kleski wiatrowej z lipca 2002 r. w polnocno-wschodniej Polsce

86%

Mikulowski M.

Prace Instytutu Badawczego Leśnictwa. Seria A

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2002

|

nr 3[937-943]

129-132

5

Co nam maja do powiedzenia dzieje?

86%

Bonenberg K.

Aura

|

2010

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nr 09

34-35

6

Finansowe określenie wielkości strat na przeciętnym przyroście drzewostanów uszkodzonych przez huragan

86%

Adamowicz K., Szczypa P., Kozuch A., Kwasna H.

Acta Scientiarum Polonorum. Silvarum Colendarum Ratio et Industria Lignaria

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2016

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tom 15

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nr 3

7

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Zagrożenie lasów Polski na podstawie modelu ryzyka uszkodzenia drzewostanu przez wiatr

86%

Dmyterko E., Mionskowski M., Bruchwald A.

Sylwan

|

2015

|

tom 159

|

nr 05

On the basis of the wind damage risk model for forests using the data of the State Forests Information System, the stand damage risk factor Wr for each of the 430 forest districts in Poland and the threat measure Ms for a given forest district were determined. The measure of threat to forest Ms for a forest district is a methodical basis for assessing the potential damage to forests in Poland. Its value ranges from 8.1% for the Brzózka Forest District to 48.9% for the Ujsoły Forest District (fig. 1), giving the average value of 24.6% and standard deviation of 7.03%. The measure Ms was the basis for differentiating the levels of threat of wind damage to forest for forest districts. Level 1 (Ms 10%) indicates low threat, level 2 (10%Ms 20%) – elevated threat, level 3 (20%Ms 30%) – moderate threat, level 4 (30%Ms 40%) – high threat, level 5 (Ms 40%) – very high threat. Low threat to forests was found only in two forest districts located in the western part of the country. 113 forest districts, which form large concentrations particularly in western and central Poland, are exposed to an elevated threat. Most forest districts (233) are classified to a group of moderate threat. They are located across the country and are mostly concentrated in the northern and southern regions of Poland. 71 forest districts exposed to high threat are concentrated in the south of Poland in the Carpathians and the Sudetes, with scattered presence in the north of the country. Most of the 11 forest districts with a very high threat to forests are located in the mountains (tab., fig. 1). For the forest districts with a particularly high and very high threat, new silvicultural procedures and the basis for decision making in the field of forest management should be developed to reduce the risk of damage to forest.

8

Wiatry huraganowe w 2008 roku w Zatoce Admiralicji, Wyspa Króla Jerzego, Antarktyda Zachodnia

86%

Wierzbicki G.

Przegląd Naukowy. Inżynieria i Kształtowanie Środowiska

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2009

|

tom 18

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nr 2[44]

Meteorological data collected by the author at Arctowski station from March to December 2008 revealed 72 days with hurricane winds in the Admiralty Bay. The results were compared with synoptic maps, wind data from Ferraz station and older data from Arctowski station. Winds in September 2008 reached the highest velocities (mean 32.0 m·s–1, gusts 80 m·s–1) ever measured in Admiralty Bay. 49% events of hurricane winds occurred while cold fronts were passing. Topography of King George Island affects winds distribution inside the bay. Hurricane winds accelerate ablation of glaciers on King George Island and cause serious problems for fi eldwork and maintaining of research stations in Antarctica.

9

Usuwanie skutków klęski huraganu w lasach Niemiec w 1990 roku

86%

Giefing D. F.

Sylwan

|

1995

|

tom 139

|

nr 07

51-60

10

Huragan w Puszczy Piskiej

86%

Wegiel A.

Biuletyn Polskiego Towarzystwa Ochrony Przyrody "Salamandra"

|

2002

|

nr 1-2

30

11

Huragan Cyryl [Kyrill] nad Polska [styczen 2007]

72%

Kaseja M.

Wiadomości Meteorologii, Hydrologii, Gospodarki Wodnej

|

2007

|

tom 01

|

nr 1

55-62

12

APA opracowuje nowe wytyczne odnosnie przybijania sklejek gwozdziami

72%

W.K.

Biuletyn Informacyjny Ośrodka Badawczo-Rozwojowego Przemysłu Płyt Drewnopochodnych w Czarnej Wodzie

|

1994

|

tom 35

|

nr 4

329

13

Biegaczowate [Coleoptera: Carabidae] w drugim roku spontanicznej sukcesji regeneracyjnej zniszczonych przez huragan drzewostanow Puszczy Piskiej

72%

Sklodowski J., Zdzioch P.

Wiadomości Entomologiczne. Suplement

|

2006

|

tom 25

|

nr 1

97-110

14

Oddzialywanie wiatru na drzewa [Wind Effects on Trees] Karlsruhe, 16-18 wrzesien 2003

72%

Gil W.

Prace Instytutu Badawczego Leśnictwa. Seria A

|

2003

|

nr 4[960-965]

125-129

15

Przygotowanie gleby na powierzchniach pohuraganowych - metoda lubliniecka

72%

Znojek Z.

Trybuna Leśnika

|

2006

|

nr 01

8-9

16

Zgrupowania biegaczowatych [Coleoptera, Carabidae] w trzecim roku regeneracji drzewostanow w Puszczy Piskiej zniszczonych przez huragan

72%

Sklodowski J., Garbalinska P.

Sylwan

|

2007

|

tom 151

|

nr 04

49-63

17

Od deszczu, gradu lub wichury

72%

Niegowski K.

Zachodniopomorski Magazyn Rolniczy

|

2014-2015

|

nr 96

18

Niszczycielska siła wiatru

72%

Sobalak T.

Postępy Techniki w Leśnictwie

|

2017

|

tom 137

19

O ubezpieczeniach w sadownictwie

72%

Struzyk M.

Miesięcznik Praktycznego Sadownictwa Sad

|

2007

|

nr 11-12

70-73

20

Ocena funkcjonowania modeli ryzyka uszkodzenia drzewostanów przez wiatr w górach na przykładzie Tatrzańskiego Parku Narodowego

72%

Zieba S., Dolezuchowicz M., Banas J., Bujoczek L.

Sylwan

|

2016

|

tom 160

|

nr 05

The paper assesses the performance of the risk models of the wind damage to the mountain forest stands located in the Tatra National Park (southern Poland). The models assume that the forest susceptibility to the damage from the wind depends on the characteristics of stands, their location and frequency of the occurrence of damage in the past. According to the methodology we built 5 variants of models, which take into account the following attributes: various stand features, forest type, regional factor of the damage to the the trees, thickness scrap, subversive and deadwood from the stand in the last 10 years, characteristics of the terrain: exhibition, slope inclination and altitude above sea level. The model output is a classification of the stand susceptibility to the wind damage expressed by a number between 0 and 3 (0.5 interval). The suitability of each variant was tested by comparing the in−class rate as well as the area and growing stock of undamaged and damaged stands. In this study we rated 2908 stands with a total area of 15,386.05 ha. Taking into account the risk class, it is possible to develop the appropriate procedures in order to limit the damage. The analysis conducted for the forests of the Tatra National Park showed high compliance of the developed risk models with the damages arising by the wind. This is confirmed by a particularly high proportion of damaged forest stands included in the class of high risk. Their fraction ranged from 43.8% (WR1) to 92.4% (WR5). Considering the position and stands characteristics the greatest damage arose at an altitude of 950 to 1000 m (70.2%) and the exposures NW, N and NE (60.2%).

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