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Identification of characteristic plant co-occurrences in neotropical secondary montane forests

Journal of Plant Ecology 2009年第1期2卷 31-41页

作者： Miguel D.Mahecha Alfredo Martı´nez holger lange Markus Reichstein Erwin Beck Max Planck Institute for Biogeochemistry PO Box 10016407701 JenaGermany Department of Environmental Sciences Swiss Federal Institute of Technology—ETH Zurich8092 ZurichSwitzerland Bayreuth Centre for Ecology and Environmental Research University of Bayreuth95440 BayreuthGermany Fundacion Cordillera Tropical Jaime Roldos 4-80 y Huayna CapacEd.El Consorcio of.412CuencaEcuador Norwegian Forest and Landscape Institute PO Box 1151431 AsNorway

Aims Inferring environmental conditions from characteristic patterns of plant co-occurrences can be crucial for the development of conservation strategies concerning secondary neotropical ***,nomethodological agreement has been achieved so far regarding the identification and classification of characteristic groups of vascular plant species in the *** study examines botanical and,in particular,statistical aspects to beconsidered in such *** on these,we propose a novel data-driven approach for the identification of characteristic plantco-oc currences in neotropical secondary mountain *** Floristic inventory data were gathered in secondary tropical mountain forests in *** classification was performed by coupling locally adaptive isometric feature mapping,a non-linear ordination method and fuzzy-c-means *** approach was designed for dealing with underlying non-linearities and uncertainties in the inventory *** Findings The results indicate that the applied non-linear mapping in combination with fuzzy classification of species occurrence allows an effective identification of characteristic groups of co-occurring species as fuzzy-defined *** selected species indicated groups representing characteristic life-form distributions,as they correspond to various stages of forest *** the identified‘characteristic species groups’with meta-information derived from accompanying studies indicated that the clusters can also be related to habitat *** conclusion,we identified species groups either characteristic of different stages of forest succession after clear-cutting or of impact by fire or a *** expect that the proposed data-mining method will be useful for vegetation classification where no a priori knowledge is available.

关键词： secondary tropical mountain forests characteristic species groups non-linear ordination fuzzy-c-means clustering Ecuador

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