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Litter Production and Nutrient Dynamic on a Moso Bamboo Plantation following an Extreme Disturbance of 2008 Ice Storm  ( SCI-EXPANDED收录)   被引量:7

文献类型:期刊文献

英文题名:Litter Production and Nutrient Dynamic on a Moso Bamboo Plantation following an Extreme Disturbance of 2008 Ice Storm

作者:Ge, Xiaogai[1] Zhou, Benzhi[1] Tang, Yilin[1]

第一作者:葛晓改

通信作者:Zhou, BZ[1]

机构:[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Fuyang 311400, Zhejiang, Peoples R China

年份:2014

卷号:2014

外文期刊名:ADVANCES IN METEOROLOGY

收录:;Scopus(收录号:2-s2.0-84934887192);WOS:【SCI-EXPANDED(收录号:WOS:000347849000001)】;

基金:This study was supported by Special Fund for Forestry Scientific Research in the Public Interest (Project no. 201104008), Qianjiangyuan National Forest Ecological Research Station. This paper was supported by CFERN&GENE Award Funds on Ecological Paper. The authors also thank anonymous reviewers and the editor for their constructive comments that greatly improved the quality of the earlier version.

语种:英文

摘要:Ice storm is known to play a role in determining forest succession and litter dynamics constitute an important aspect of nutrient cycling in forest ecosystems. However, ice storm effects on amount and pattern of litterfall are not clearly understood. We investigated litter production and litter leaf nutrient dynamic in a moso bamboo plantation in China following an extreme disturbance of ice storm in 2008. The litterfall in on-years was significantly lower than in off-years. Ice storm caused total litterfall increasing from 16.68% to 35.60% and greatly disturbed the litterfall peak rhythm especially in the on-year. The litter leaf nutrient concentrations at two latitudes significantly fluctuated after ice-snow disaster in 2008, litter leaf stoichiometric traits indicated that litter leaf chemistry showed more easily decomposition with higher C/P ratio, N/P ratio, and lower C/N ratio. It is clear from this study that litterfall restoration dynamic would result in long-term changes in litter nutrient cycling and may help predicting below ground carbon dynamic in future research as well as subtropical forest inventories following extreme disturbance.

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