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Czasopismo

2020 | 164 | 05 |

Tytuł artykułu

Ocena szkód w lasach Polski spowodowanych przez huragan w sierpniu 2017 roku

Treść / Zawartość

Warianty tytułu

EN
Assessment of the damage to Polish forests caused by a hurricane in August 2017

Języki publikacji

PL

Abstrakty

EN
On August 11−12, 2017, a hurricane passed from south to north of Poland causing considerable damage to forests, especially in regional directorates of the State Forests in Wrocław, Poznań, Toruń, Szczecinek and Gdańsk. By the end of 2018, the volume of wind−broken and wind−fallen trees and deadwood approximated to 9 million m³. In 9 forest districts the harvested volume exceeded 440 thousand m³, including two entities with over 1 million m³ each. The harvested volume was expressed as a percentage of allowable cut, calculated from the stand growth model. It showed possibile timber harvest in final and intermediate cuts in the absence of natural disasters (strong wind, intense drought, heavy snowfall, insect outbreaks, etc.). In many forest districts, timber harvest accounted for 100% of the allowable cut, with the maximum value approximated to 1100% of the allowable cut. The high salvage harvest of post−hurricane timber prevents the execution of other economic tasks, including plans of stand rebuilding. On the example of forest districts with the largest damage, the possibilities of selecting forests classified as the most threatened by wind were examined. The wind damage risk model for the stand was used to determine the value of wind damage risk factor Wr for each stand (values from 0 to 3; the higher value, the higher risk). The damage risk factor allowed to create six damage risk classes of a span of 0.5 each and to assign individual stands to one of the damage classes. The share of the area of stands and damaged stands in Wr classes was also determined. In the Lipusz Forest District the share of stands in VI class of Wr was 9.8%, and the area of damaged stands in this class was 98.3%. In the Rytel and Przymuszewo forest districts, the areal share of such stands was 10.7% and 5.1%, respectively, and almost all stands in this class were damaged by the hurricane. The areal share of forests in the highest Wr class was reported in the Gniezno Forest District accounting for 4.8% and the hurricane damaged 85% of their area. The wind damage risk model for the stand allows to identify forests where damage is very likely to occur. It is, therefore, possible to take action on the rebuilding of stands before the wind comes and thus reduce its negative effects. The cutting plan should include, in the first place, stands classified to the high wind damage risk factor.

Wydawca

-

Czasopismo

Rocznik

Tom

164

Numer

05

Opis fizyczny

s.355-364,rys.,tab.,bibliogr.

Twórcy

autor
  • Zakład Zarządzania Zasobami Leśnymi, Instytut Badawczy Leśnictwa, Sękocin Stary, ul.Braci Leśnej 3, 05-090 Raszyn
autor
  • Zakład Zarządzania Zasobami Leśnymi, Instytut Badawczy Leśnictwa, Sękocin Stary, ul.Braci Leśnej 3, 05-090 Raszyn

Bibliografia

  • Ancelin P., Courbaud B., Fourcaud T. 2004. Development of an individual tree-based mechanical model to predict wind damage within forest stands. Forest Ecology and Management 203 (1-3): 101-121.
  • Bruchwald A. 1986. Simulation growth model MDI-1 for Scots pine. Ann. Warsaw Agricult. Univ. SGGW-AR, For. and Wood Technol. 34: 47-52.
  • Bruchwald A., Dmyterko E. 2010. Metoda określania ryzyka uszkodzenia drzewostanu. Leś. Pr. Bad. 2: 165-148.
  • Bruchwald A., Dmyterko E. 2019. Zastosowanie modelu ryzyka uszkodzenia drzewostanu przez wiatr do oceny prawdopodobieństwa lokalizacji szkód w lasach Regionalnej Dyrekcji Lasów Państwowych w Białymstoku. Sylwan 163 (8): 629-636. DOI: https://doi.org/10.26202/sylwan.2019014.
  • Bruchwald A., Dmyterko E., Bałazy R. 2018. Risk model of tree stand damage by winds and its evaluation based on damage caused by cyclone „Xaver”. Forest Systems 27 (2): e014. DOI: https://doi.org/10.5424/fs/2018272-11731.
  • Bruchwald A., Dmyterko E., Mionskowski M., Wrzesiński P. 2019. Dynamika procesu śmiertelności drzew w Sudetach w okresie 2002-2018. Sylwan 163 (11): 903-912. DOI: https://doi.org/10.26202/sylwan.2019049.
  • Dmyterko E., Bruchwald A., Mionskowski M. 2019. Rozpad drzewostanów świerkowych w Beskidzie Żywieckim. Sylwan 163 (2): 130-140. DOI: https://doi.org/10.26202/sylwan.2018103.
  • Durło G. B. 2007. Klimatyczny bilans wodny okresów wegetacyjnych w Beskidach Zachodnich. Acta Agrophysica 19 (3): 553-562.
  • Durło G. B. 2019. Klimatyczny bilans wodny na obszarze Parku Krajobrazowego Góry Opawskie. Sylwan 163 (10): 802-810. DOI: https://doi.org/10.26202/sylwan.2019050.
  • Gardiner B., Byrne K., Hale S., Kamimura K., Mitchell S. J., Peltola H., Ruel J. C. 2008. A review of mechanistic modelling of wind damage risk to forests. Forestry 81 (3): 447-463.
  • Gardiner B., Peltola H., Kellomäki S. 2000. Comparison of two models for predicting the critical wind speeds required to damage coniferous trees. Ecological Modelling 129 (1): 1-23.
  • Mitchell S. J., Lanquaye-Opoku N., Modzelewski H., Shen Y., Stull R., Jackson P., Murphy B., Ruel J.-C. 2008. Comparison of wind speeds obtained using numerical weather prediction models and topographic exposure indices for predicting windthrow in mountainous terrain. Forest Ecology and Management 254 (2): 193-204.
  • Ni Dhubhain A., Walshe J., Bulfin M., Keane M., Mills P. 2001. The initial development of a windthrow risk model for Sitka spruce in Ireland. International Journal of Forest Research 74 (2): 161-170. DOI: https://doi.org/ 10.1093/forestry/74.2.161.
  • Nolet P., Doyon E., Bouffard D. 2012. Predicting Stem Windthrow Probability in a Northern Hardwood Forest Using a Wind Intensity Bio-Indicator Approach. Open Journal of Forestry 2 (2): 77-87.
  • Peltola H., Kellomäki S. 1993. A mechanistic model for calculating windthrow and stem breakage of Scots pines at stand edge. Silva Fennica 27 (2): 99-111.
  • Peltola H., Kellomäki S., Väisänen H. 1999. Model Computations of the Impact of Climatic Change on the Windthrow Risk of Trees. Climatic Change 41 (1): 17-36.
  • Valinger E., Fridman, J. 1997. Modelling probability of snow and wind damage in Scots pine stands using tree characteristics. Forest Ecology and Management 97 (3): 215-222.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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