Fine-scale habitats influence tree species assemblage in a miombo forest  

作　　者：Jonathan Ilunga Muledi David Bauman Thomas Drouet Jason Vleminckx Arnaud Jacobs Jean Lejoly Pierre Meerts Mylor Ngoy Shutcha 

机构地区：[1]Ecologie,Restauration Ecologique et Paysage,Facultédes Sciences Agronomiques,Universitéde Lubumbashi,Route Kasapa BP 1825,The Democratic Republic of the Congo [2]Laboratoire d’Écologie Végétale et Biogéochimie(EvB),CP244,Facultédes Sciences,UniversitéLibre de Bruxelles,50 av.F.D.Roosevelt,Brussels 1050,Belgium [3]Service d’Évolution Biologique etÉcologie,CP160/12,Facultédes Sciences,UniversitéLibre de Bruxelles,50 av.F.D.Roosevelt,Brussels 1050,Belgium [4]Herbarium de l’UniversitéLibre de Bruxelles(BRLU),Facultédes Sciences,UniversitéLibre de Bruxelles,CP265,50 av.F.D.Roosevelt,Brussels 1050,Belgium

出　　处：《Journal of Plant Ecology》2017年第6期958-969,共12页植物生态学报（英文版）

摘　　要：Aims Relationships between local habitat heterogeneity and tree commu-nities in miombo woodlands have been very little studied.While some studies have addressed this topic at broad scales and based on few environmental parameters,this study aims at(i)detecting fine-scale habitats(≤10 ha)on the basis of a detailed characterisation of soil explicitly considering past anthropogenic disturbances,and an exhaustive census of the tree community,and at(ii)searching for indicator tree species corresponding to the resulting habitats.Methods The study was carried out in the miombo woodland of Mikembo Forest Reserve,Upper Katanga,The Democratic Republic of the congo.A complete census of the tree community was conducted in a 10-ha forest dynamics plot comprising 160 adjacent quadrats of 25×25 m,with a total of 4604 trees(diameter at breast height>10 cm).Thirty-six physicochemical soil parameters were measured.Studying the frequency distribution of soil charcoal content allowed identifying local signature of past human agriculture in the soil.Two strategies were used to define habitats:(i)a combination of principal component analysis(PcA)on soil variables and Ward clustering and(ii)multivariate regression trees(MRT)to search for key soil parameters allowing the best prediction of species composition.Tree-habitat associations were tested by means of a robust statistical framework combining the IndVal index and torus randomisations.Important Findings The forest contained 82 tree species and a significant proportion of wet miombo species(e.g.Marquesia macroura).We detected a strong east-west edaphic gradient driven by soil texture;most chemical soil parameters followed this pattern.Five habitats were identified based on soil factors and floristic composition.Nine indicator species of these habitats were found.The key soil fac-tors discriminating habitats were total calcium,available forms of phosphorus and clay content.Even though past agricultural practices were successfully detected in soils,they did not display any signific

关 键 词：forest dynamics plot indicator species MIOMBO multivariate regression trees(MRT) soil torus randomisation 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]