期刊
AGRICULTURAL AND FOREST METEOROLOGY
卷 151, 期 7, 页码 1016-1022出版社
ELSEVIER
DOI: 10.1016/j.agrformet.2011.02.007
关键词
Leaf area index; Leaf mass per unit leaf area; Litter traps; Stem basal area; Spatial variability
资金
- Ministry of the Environment, Japan [D-0909]
Leaf area index (LA!) is an important index in ecological and meteorological studies. The litter trap method is commonly used to measure LAI in deciduous forests. To reduce the time consumed in sorting leaf litterfall by species in the litter trap method, we developed four models to predict LAI using litter traps and tree census data. The local dominance model, which estimates the leaf litterfall amount of each species by their local dominance, predicted mean and spatial variability of LAI most accurately compared to the 2 models that did not take into account spatial heterogeneity of species distribution within a forest or the model that estimated litterfall amount from leaf dispersal function. Therefore, this model can be employed instead of sorting leaf litter by species. Furthermore, we found that leaf mass per area (LMA) of at least 10 dominant species are essential for accurate estimation of LAI. Present results suggest that spatial variability of LA! is mainly due to spatial variance of leaf litterfall followed by spatial heterogeneity of species distribution within a forest, and difference in LMA among species. (C) 2011 Elsevier B.V. All rights reserved.
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