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Root-order-associated variations in fine-root decomposition and their effects on soil in a subtropical evergreen forest 被引量:1

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摘要 Background:Despite the importance of root decomposition in predicting ecosystem responses to future climate change,the effects of branch order on root decomposition and the feedback to soil still remains poorly understood.Here we separated root samples taken from two tree species(Castanopsis fargesii and Schima superba in subtropical forests along the coastal area in eastern China)into four-order classes(1st–2nd order,3rd order,4th order,and 5th order)and conducted a 540-day litterbag incubation experiment in laboratory to examine root mass loss,nutrient release,and the influence on soil during decomposition.Results:C.fargesii roots of 1st–2nd and 3rd order decayed more slowly than those of 4th and 5th order,but this pattern was not significant for S.superba.Of all the measured root traits,the decomposition rates correlated best with root C/N ratio,diameter and specific root length(SRL)based on the structural equation modeling.Both tree species and root order exhibited significantly effects on root initial traits.Overall,C.fargesii roots decay faster than S.superba,and this appears to be associated with root initial C quality and N concentration.In addition,root order positively affected root decomposition rates mainly through root diameter and SRL.However,no significant difference was found in C and N content between soils below the litterbag with different-order roots.Conclusions:Our findings suggest the effects of branch order on root decomposition are dependent on tree species.Moreover,root morphological properties might also be the controlling factor in root decay besides root chemistry fractions.Overall,the integrative effects should be considered to improve our understanding of the fate of fine-root litter and their contribution to soil C and N pool.
出处 《Ecological Processes》 SCIE EI 2022年第1期654-668,共15页 生态过程(英文)
基金 supported by the Natural Science Foundation of Zhejiang Province(LY19D010001) the National Natural Science Foundation of China(31971494)。
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