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1、植物生态学报2010,34(7):761–769doi:10.3773/j.issn.1005-264x.2010.07.001ChineseJournalofPlantEcologyhttp://www.plant-ecology.com基于多元回归树的常绿阔叶林群丛数量分类——以古田山24公顷森林样地为例*赖江山米湘成任海保马克平中国科学院植物研究所植被与环境变化国家重点实验室,北京100093摘要常绿阔叶林植被分类一直是植被生态学研究中的难题,尤其是基本单位——群丛的分类。该文以地形因子和物种组2成数据为变量的多元回归树方法,将浙江古田山24
2、hm森林监测样地的森林群落分为3个群丛。所得群丛既反映了群落在时间和空间上的相对间断分布,也符合植被分类基本单位的特点,为常绿阔叶林的群丛分类提供了新思路。并首次引入了指示值算法,解决了以往指示种无法量化的难题。最终以优势层优势种为主、下木层指示种为辅的命名原则,将3个群丛命名为:1)石斑木(Raphiolepisindica)+柳叶蜡梅(Chimonanthussalicifolius)—格药柃(Euryamuricata)+赤楠(Syzygiumbuxifolium)—木荷(Schimasuperba)+甜槠(Castanopsiseyrei)
3、群丛;2)映山红(Rhododendronsimsii)+满山红(Rhododendronmariesii)—短柄枹(Quercusserratavar.brevipetiolata)+灰白蜡瓣花(Corylopsisglanduliferavar.hypoglauca)—马尾松(Pinusmassoniana)+甜槠群丛;3)短尾越桔(Vacciniumcarlesii)+毛花连蕊茶(Camelliafraterna)—杨梅叶蚊母树(Distyliummyricoides)+浙江新木姜子(Neolitseaaurata)—木荷+甜槠群丛。关键词生
4、境,指示种,指示值,地形因子,植被分类Numericalclassificationofassociationsinsubtropicalevergreenbroad-leavedforestbasedon2multivariateregressiontrees―acasestudyof24hmGutianshanforestplotinChina*LAIJiang-Shan,MIXiang-Cheng,RENHai-Bao,andMAKe-PingStateKeyLaboratoryofVegetationandEnvironmentalChan
5、ge,InstituteofBotany,ChineseAcademyofSciences,Beijing100093,ChinaAbstract2AimsA24hmpermanentplotinGutianshanNationalNatureReserveprovidedavaluablecaseforassociationclassificationinevergreenbroad-leavedforest.Ourobjectivesweretodividetheforestcommunityintoassocia-tionstoprovide
6、anewclassificationofevergreenbroad-leavedforestandintroducethealgorithmofindicatorvalueforspeciesinassociations.Indicatorspeciespreviouslycouldnotbequantified.MethodsWeusedmultivariateregressiontrees,basedontopographicfactorsandspeciescomposition,forasso-ciationclassification.
7、Anindicatorvaluewasintroducedtoquantifytheindicatorspeciesofassociations.Wenamedassociationsafterthedominantspeciesinthetreelayer,followedbyindicatorspeciesoflowertreelayers.ImportantfindingsTheforestcommunitywasdividedintothreeassociationsthatnotonlyreflecttemporalandspatiald
8、isjunctionsofthecommunity,butalsocorrespondwithfeaturesoftheb