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Title of Journal: Plant Soil

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Abbravation: Plant and Soil

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Springer Netherlands

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DOI

10.1016/0003-6870(83)90124-2

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ISSN

1573-5036

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Decompositionrate estimation of leaf litter in ka

Authors: Zhenhong Wang Wanying Xu
Publish Date: 2012/10/19
Volume: 367, Issue: 1-2, Pages: 563-577
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Abstract

The objectives of the study were to analyze the relationship between decomposition rates and initial chemistry of leaf litter and to establish an optimal model to predict the decomposition rates of a large number of plant species in karst forests of ChinaWe determined the decomposition rate of leaf litter from 21 representative species in karst forests through a litterbag experiment Using Akaike information criteria we selected an optimal model among 925 regression models of decomposition rate based on initial chemistry indexes to estimate annual leaflitterdecomposition rate for an additional 96 important speciesOf the 21 representative species Elaeocarpus decipiens and Phoebe sheareri exhibited the highest 6285  and lowest 2350  annual decomposition rates respectively In the first and second quarters climatic conditions were not advantageous to decomposition but 20 species reached their highest decomposition rate Most of 117 tested species accumulated fewer nutrients and more noneasilydecomposed materials in their leaf litter than plant species in nonkarst forests The selected optimal model was mathrmannual mathrmdecomposition mathrmrate=1118380114left mathrmtotal mathrmcarbon right+0021left mathrmtotal mathrmnitrogen right+0068left mathrmtotal mathrmpotassium right0027left mathrmlignin right0398left mathrmtannin right0015left mathrmstarch right Predicted annual leaflitterdecomposition rates of the additional 96 tree species were 20–80 

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