详细信息
Impact of the 2008 ice storm on China's forests ( EI收录)
文献类型:会议论文
英文题名:Impact of the 2008 ice storm on China's forests
作者:Zhou, Benzhi[1] Yu, Mukui[1] Cao, Yonghui[1] Wang, Xiaoming[1] Sun, Honggang[1] Ai, Chang[2] Gu, Lianhong[3]
第一作者:周本智
通信作者:Zhou, B.
机构:[1] Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, Zhejiang, China; [2] Office of Forest Resources Supervision and Administration, State Forestry Administration, Beijing, China; [3] Environmental Sciences Division, Ridge National Laboratory, Oak Ridge, TN, United States
会议论文集:ISWREP 2011 - Proceedings of 2011 International Symposium on Water Resource and Environmental Protection
会议日期:20 May 2011 through 22 May 2011
会议地点:Xi'an
语种:英文
外文关键词:Forestry - Storms - Water resources
年份:2011
摘要:An unprecedented ice storm occurred in south China in early 2008, bringing extensive damages and huge losses to China's forests. By site specific survey, coupled with review of the government documents and reports, we made an impact assessment of the ice storm on China's forests at regional and local scale. The ice storm affected one-tenth of the forests in 19 provinces, with masson pine, Chinese fir and bamboo plantation among the most extensively slashed. The damage degree for the subtropical typical forest types ranged from 25% to 66%. Ice-damage to tree/bamboo exhibited different patterns, with uprooting and bending being the most common. The topographical variables (altitude, slope aspect), stand density, tree size and age, and management practice were all found to have effects on damage severity. High altitude and north-faced slope aggravated ice damage; native pine exhibited better resistance to damage than exotic. The effect of stand age and tree size on damage seemed to vary with species. The ice storm taught us valuable lessons. Native species should be put at the most priority in large scale forestation. Good management practice may help to reduce the risk of extreme climatic events. Sustainable extraction of non-timber goods is essential to planning for the risk of extreme events in forest resources use. ? 2011 IEEE.
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