Decomposition and stabilization of organic matter in an old-growth tropical riparian forest:effects of soil properties and vegetation structure

作     者：Pedro Henrique de Godoy Fernandes Andréa Lúcia Teixeira de Souza Marcel Okamoto Tanaka Renata Sebastiani Pedro Henrique de Godoy Fernandes;Andréa Lúcia Teixeira de Souza;Marcel Okamoto Tanaka;Renata Sebastiani

作者机构：Graduate Program in Environmental SciencesFederal University of São CarlosSão CarlosSPBrazil Department of Environmental Sciences(DCAm)Federal University of São CarlosSão CarlosSPBrazil Department of NatureMathematicsand Education SciencesFederal University of São CarlosSão CarlosSPBrazil 

出 版 物：《Forest Ecosystems》 (森林生态系统（英文版）)

年 卷 期：2021年第8卷第1期

页      面：173-181页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：This study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil(CAPES)–Code Financing 001 and FAPESP(proc.2018/21913-8) 

主　　题：Tea bag index Forest structure Carbon fixation Nutrient cycling 

摘      要：Background:Nutrient cycling in tropical forests has a large importance for primary productivity,and decomposition of litterfall is a major process influencing nutrient balance in forest *** large-scale factors strongly influence decomposition patterns,small-scale factors can have major influences,especially in old-growth forests that have high structural complexity and strong plant-soil *** we evaluated the effects of forest structure and soil properties on decomposition rates and stabilization of soil organic matter using the Tea Bag Index(TBI)in an old-growth riparian forest in southeastern *** data sets were described separately using Principal Components Analysis(PCA).The main axes for each analysis,together with soil physical properties(clay content and soil moisture),were used to construct structural equations models that evaluated the different parameters of the TBI,decomposition rates and stabilization *** best model was selected using Akaike’s ***:Forest structure and soil physical and chemical properties presented large variation among plots within the studied *** content was strongly correlated with soil moisture and the first PCA axis of soil chemical properties,and model selection indicated that clay content was a better predictor than this *** rates presented a large variation among tea bags(0.009 and 0.098 g·g^(−1)·d−1)and were positively related with forest structure,as characterized by higher basal area,tree density and larger *** stabilization factor varied between 0.211–0.426 and was related to forest stratification and soil clay ***:The old-growth forest studied presented high heterogeneity in both forest structure and soil properties at small spatial scales,that influenced decomposition processes and probably contributed to small-scale variation in nutrient *** rates were only influenced by forest structure,whereas the stabilizat