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Efects of topographic variability and forest attributes on fne-scale soil fertility in late-secondary succession of Atlantic Forest

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Ecological Processes 2021年第1期10卷 853-861页

作者： Alice Cristina Rodrigues Pedro Manuel Villa Walnir Gomes Ferreira‑Júnior Carlos Ernesto RGSchaefer Andreza Viana Neri Laboratory of Ecology and Evolution of Plants‑LEEP Departamento de Biologia VegetalPrograma de Pós-Graduação em Botânica-Universidade Federal de ViçosaViçosaMinas Gerais CEP:36570‑900Brazil. Fundación Para la Conservación de la Biodiversidad MéridaEstado Mérida CEP 5101Venezuela. Departamento de Engenharia Florestal Universidade Federal de ViçosaViçosaMinas Gerais CEP:36570‑900Brazil. Laboratório de Botânica eEcologia Setor de Biologia e Meio AmbienteInstituto Federal do Sul de Minas Gerais(IFSULDEMINAS)Campus MachadoRodovia Machado‑Paraguaçukm 3MachadoMinas Gerais CEP 37750‑000Brazil. Departamento de Solos Universidade Federal de ViçosaViçosaMinas Gerais CEP:36570‑900Brazil.

Background:Understanding how soil fertility changes due to topographical conditions and forest attributes is an essential premise for local-scale forest management *** evaluated the efects of topographic variables and forest attributes on soil fertility along a local topographical gradient in a Brazilian Atlantic *** hypothesised that soil fertility is positively afected by topographic variability and forest attributes(structure and diversity).We used tree species richness,composition,abundance,and aboveground biomass as forest *** analysed two 1-ha for‑est patches with contrasting topographical *** used diferent linear mixed efects models(LMMs)to test the main efects of diferent forest attributes and topography variables on soil ***:The results showed that higher topographic variability determines soil fertility along a fne-scale *** frst two axes of the PCA explained 66.8%of the variation in soil data,with the frst axis(PCA_(1))explaining 49.6%of the variation in soil data and positively correlating with fertility-related soil *** second axis(PCA_(2))explained 17.2%of the variation in topographical data and positively correlated with convexity(the elevation of a plot minus the average elevation of all immediate neighbour plots)and *** best models showed that topo‑graphic variables(elevation and convexity)are the main predictors that afect fne-scale soil ***:Our study demonstrates that the topographic variability,mainly elevation and convexity,determines fne-scale soil fertility in an Atlantic *** results advance our understanding that context-dependent condi‑tions based on topography and soil properties have a high variability at a fne scale,which can infuence variations in forest attributes(i.e.,species distribution,diversity and structure of tree communities).In addition,the information generated in this research may be important for planning forest restorat

关键词： Convexity Soil variability Succession topographical gradient Tropical forests

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