TY - JOUR
T1 - Analysis of wind damage caused by multiple tropical storm events in Japanese Cryptomeria japonica forests
AU - Kamimura, Kana
AU - Saito, Satoshi
AU - Kinoshita, Hiroko
AU - Kitagawa, Kenji
AU - Uchida, Takanori
AU - Mizunaga, Hiromi
N1 - Funding Information:
The work was supported by the Japan Society for the Promotion of Science as a Grant-in-Aid for Scientific Research for ‘Effects on wind climate in forests caused by complexity of geographical and stand conditions’ (23580202)
PY - 2013/10
Y1 - 2013/10
N2 - This study analyzed wind damage caused by tropical storms from 1991 to 2007 to Japanese forests mainly consisting of Cryptomeria japonica. Statistical analyses based on logistic regression and Cox regression models were conducted in relation to conditions at the forest and stand level. Known damage to forests managed by Kyusyu Rinsan Corporation (KR forests), located on the Kyushu Island, was analyzed at the forest level, using tropical storm characteristics such as air pressure, precipitation and periods when the forests were within the storm zone as predictors. Wind damage was also examined at the stand level (150 analysis points) using Cox regression models, according to stand age, site index, terrain conditions, management practices and wind velocity indicators (horizontal and vertical velocity vectors). The results indicated that at the forest level, higher maximum hourly wind speed and longer periods of >15 m s-1 of wind speed were significantly correlated to damage occurrence. At the stand level, indicators of upward vertical velocity, thinning treatments and site index were positively associated with the probability of wind damage. For instance, stands receiving higher upward vertical velocities and thinning treatment within 2 years were more likely to have reduced stability against tropical storms. Stands with higher and lower site index than average also showed lower stability in our analysis.
AB - This study analyzed wind damage caused by tropical storms from 1991 to 2007 to Japanese forests mainly consisting of Cryptomeria japonica. Statistical analyses based on logistic regression and Cox regression models were conducted in relation to conditions at the forest and stand level. Known damage to forests managed by Kyusyu Rinsan Corporation (KR forests), located on the Kyushu Island, was analyzed at the forest level, using tropical storm characteristics such as air pressure, precipitation and periods when the forests were within the storm zone as predictors. Wind damage was also examined at the stand level (150 analysis points) using Cox regression models, according to stand age, site index, terrain conditions, management practices and wind velocity indicators (horizontal and vertical velocity vectors). The results indicated that at the forest level, higher maximum hourly wind speed and longer periods of >15 m s-1 of wind speed were significantly correlated to damage occurrence. At the stand level, indicators of upward vertical velocity, thinning treatments and site index were positively associated with the probability of wind damage. For instance, stands receiving higher upward vertical velocities and thinning treatment within 2 years were more likely to have reduced stability against tropical storms. Stands with higher and lower site index than average also showed lower stability in our analysis.
UR - http://www.scopus.com/inward/record.url?scp=84882272566&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882272566&partnerID=8YFLogxK
U2 - 10.1093/forestry/cpt011
DO - 10.1093/forestry/cpt011
M3 - Article
AN - SCOPUS:84882272566
SN - 0015-752X
VL - 86
SP - 411
EP - 420
JO - Forestry
JF - Forestry
IS - 4
ER -