文献类型：期刊文献

英文题名：Root growth was enhanced in china fir (Cunninghamia lanceolata) after mechanical disturbance by ice storm

作者：Li, Zhaojia[1,2] Zhao, Houben[1,2] Zhou, Guangyi[1,2] Qiu, Zhijun[1,2] Wang, Xu[1,2] Wu, Zhongmin[1,2]

第一作者：李兆佳;Li, Zhaojia

机构：[1] Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China; [2] Beijiangyuan National Forest Ecosystem Research Station, Nanling Mts. China, Guangzhou, 510520, China

年份：2021

卷号：12

期号：12

外文期刊名：Forests

收录：EI(收录号：20215211383576);Scopus(收录号：2-s2.0-85121662856)

语种：英文

外文关键词：Storms - Tropics - Climate change - Ice - Forestry

摘要：Accurate estimation of forest biomass and its growth potential could be important in assessing the mitigation potential of forest for climate change. However, severe mechanical disturbance such as stem breakage imposed significant changes to tree individuals in biomass structure, which could bring new inaccuracy to biomass estimation. In order to investigate the influence of severe mechanical disturbance on tree biomass accumulation and to construct accurate models for biomass and carbon storage estimation, this paper analyzed the relationship between tree size and biomass for China fir (Cunninghamia lanceolata (Lamb.) Hook) which suffered stem breakage from, and survived, an ice storm. The performance of independent variables diameter (D) and height (H) of China fir, were also compared in biomass estimation. The results showed that D as an independent variable was adequate in biomass estimation for China fir, and tree height was not necessary in this case. Root growth was faster in China fir which had suffered breakage in the main stem by the ice storm, than China fir which were undamaged for at least 7 years after the mechanical disturbance, which, in addition to biomass loss in stem, caused changes in the allocation pattern of the damaged trees. This suggests biomass models constructed before severe mechanical disturbance would be less suitable in application for a subsequent period, and accurate estimations of biomass and forest carbon storage would take more effort. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.