Issue 17 (3) 2018 pp. 241–250
Leszek Bujoczek, Aleksandra Szewczyk, Robert Zygmunt, Anna Kożuch, Małgorzata Bujoczek, Jan Banaś, Stanisław Zięba
EVALUATION AND CLASSIFICATION OF STAND DAMAGE CAUSED BY SEVERE WIND IN THE KRASNYSTAW FOREST DISTRICT BASED ON A NETWORK OF SAMPLE PLOTS
Keywords: wind damage, snapped stems, uprooted trees, disturbances, abiotic factors
A network of sample plots was established in stands devastated by a hurricane-force wind in order to characterize the degree of tree damage. The wind was classified as F1 in the Fujita scale, which corresponds to wind speeds of 117–180 km/h. Instances of tree damage were categorized into nine classes. Tree species and diameter at breast height (DBH) were determined. The wind damaged about half of the trees; every fifth tree exhibited crown damage (from broken individual branches to damage exceeding ¾ of the crown volume). Approximately every tenth tree was broken below the crown and a similar proportion of trees were uprooted. The wind damaged trees of all DBH classes, and the percentage of affected trees increased with DBH: from a little over 1/3 for trees with DBH of less than 10 cm to 85% for trees with DBH of more than 63 cm. Due to the high variation of the affected site, it was difficult to adopt a schematic management response. On most plots, damaged trees were neighbored by unscathed ones. Thus, under the circumstances an individualized approach should be applied to each stand.
|MLA||Bujoczek, Leszek, et al. "Evaluation and classification of stand damage caused by severe wind in the Krasnystaw Forest District based on a network of sample plots." Acta Sci.Pol. Silv. 17.3 (2018): 241–250. http://dx.doi.org/10.17306/J.AFW.3.21|
|APA||(2018). Evaluation and classification of stand damage caused by severe wind in the Krasnystaw Forest District based on a network of sample plots. Acta Sci.Pol. Silv. 17 (3), 241–250 http://dx.doi.org/10.17306/J.AFW.3.21|
|ISO 690||BUJOCZEK, Leszek, et al. Evaluation and classification of stand damage caused by severe wind in the Krasnystaw Forest District based on a network of sample plots. Acta Sci.Pol. Silv., 2018, 17.3: 241–250. http://dx.doi.org/10.17306/J.AFW.3.21|