中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China (SCI)

文献类型:期刊论文

作者He Z. B. ; Yang J. J. ; Du J. ; Zhao W. Z. ; Liu H. ; Chang X. X.
刊名Agricultural and Forest Meteorology
出版日期2014
卷号188期号:58-63
英文摘要Canopy interception has large spatial variability which complicates measurements and achievement of spatial representation. In the present study, we measured gross rainfall and throughfall from June 2011 to October 2012, and leaf area index (LAI), plant area index (PAI), and spatial locations of trees within Picea crassifolia forest in Qilian mountains of northwestern China. Spatial variability of canopy interception and related factors, and the minimum number and locations of collectors were analyzed by statistical techniques. The results show that spatial variation of canopy interception has a significant relationship with PAI, but not with LAI. This indicates that PAI is more appropriate parameters for a canopy interception model than LAI. Based on the relationship between canopy interception loss and PAI, the minimum number and locations of collectors were estimated. In this study, 10-12 collectors yielded representative throughfall in the forest, but these collectors required to be placed at the sites of mean values of PAI. (C) 2014 Elsevier B.V. All rights reserved.
收录类别SCI
公开日期2015-12-24
源URL[http://ir.casnw.net/handle/362004/25087]  
专题寒区旱区环境与工程研究所_中科院寒区旱区环境与工程研究所(未分类)_期刊论文
推荐引用方式
GB/T 7714
He Z. B.,Yang J. J.,Du J.,et al. Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China (SCI)[J]. Agricultural and Forest Meteorology,2014,188(58-63).
APA He Z. B.,Yang J. J.,Du J.,Zhao W. Z.,Liu H.,&Chang X. X..(2014).Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China (SCI).Agricultural and Forest Meteorology,188(58-63).
MLA He Z. B.,et al."Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China (SCI)".Agricultural and Forest Meteorology 188.58-63(2014).

入库方式: OAI收割

来源:寒区旱区环境与工程研究所

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