DaSilva2014347

Référence

Da Silva, K.E., Martins, S.V., Fortin, M.-J., Ribeiro, M.C., De Azevedo, C.P., Soares Ribeiro, C.A.Ã?., Santos, N.T. (2014) Tree species community spatial structure in a terra frme amazon forest, brazil [Estructura espacial de la comunidad de especies arboreas en el “terra frme”?, selva amazonica, Brasil]. Bosque, 35(3):347-355. (Scopus )

Résumé

All trees with diameter at breast height dbh ≥ 10.0 cm were stem-mapped in a “terra frme”? tropical rainforest in the Brazilian Amazon, at the EMBRAPA Experimental Site, Manaus, Brazil. Specifcally, the relationships of tree species with soil properties were determined by using canonical correspondence analyses based on nine soil variables and 68 tree species. From the canonical correspondence analyses, the species were grouped into two groups: one where species occur mainly in sandy sites, presenting low organic matter content; and another one where species occur mainly in dry and clayey sites. Hence, we used Ripley`s K function to analyze the distribution of species in 32 plots ranging from 2,500 m2 to 20,000 m2 to determine whether each group presents some spatial aggregation as a soil variations result. Signifcant spatial aggregation for the two groups was found only at over 10,000 m2 sampling units, particularly for those species found in clayey soils and drier environments, where the sampling units investigated seemed to meet the species requirements. Soil variables, mediated by topographic positions had infuenced species spatial aggregation, mainly in an intermediate to large distances varied range (≥ 20 m). Based on our fndings, we conclude that environmental heterogeneity and 10,000 m2 minimum sample unit sizes should be considered in forest dynamic studies in order to understand the spatial processes structuring the “terra frme”? tropical rainforest in Brazilian Amazon. © 2014, Universidad Austral de Chile. All Rights reserved.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { DaSilva2014347,
    AUTHOR = { Da Silva, K.E. and Martins, S.V. and Fortin, M.-J. and Ribeiro, M.C. and De Azevedo, C.P. and Soares Ribeiro, C.A.Ã?. and Santos, N.T. },
    TITLE = { Tree species community spatial structure in a terra frme amazon forest, brazil [Estructura espacial de la comunidad de especies arboreas en el “terra frme”?, selva amazonica, Brasil] },
    JOURNAL = { Bosque },
    YEAR = { 2014 },
    VOLUME = { 35 },
    NUMBER = { 3 },
    PAGES = { 347-355 },
    NOTE = { cited By 2 },
    ABSTRACT = { All trees with diameter at breast height dbh ≥ 10.0 cm were stem-mapped in a “terra frme”? tropical rainforest in the Brazilian Amazon, at the EMBRAPA Experimental Site, Manaus, Brazil. Specifcally, the relationships of tree species with soil properties were determined by using canonical correspondence analyses based on nine soil variables and 68 tree species. From the canonical correspondence analyses, the species were grouped into two groups: one where species occur mainly in sandy sites, presenting low organic matter content; and another one where species occur mainly in dry and clayey sites. Hence, we used Ripley`s K function to analyze the distribution of species in 32 plots ranging from 2,500 m2 to 20,000 m2 to determine whether each group presents some spatial aggregation as a soil variations result. Signifcant spatial aggregation for the two groups was found only at over 10,000 m2 sampling units, particularly for those species found in clayey soils and drier environments, where the sampling units investigated seemed to meet the species requirements. Soil variables, mediated by topographic positions had infuenced species spatial aggregation, mainly in an intermediate to large distances varied range (≥ 20 m). Based on our fndings, we conclude that environmental heterogeneity and 10,000 m2 minimum sample unit sizes should be considered in forest dynamic studies in order to understand the spatial processes structuring the “terra frme”? tropical rainforest in Brazilian Amazon. © 2014, Universidad Austral de Chile. All Rights reserved. },
    AFFILIATION = { EMBRAPA, Brazilian Agricultural Research Corporation, Embrapa Western Amazonia, Manaus, Amazonas, Brazil; Universidade Federal de Viçosa, Departamento de Engenharia Florestal, Viçosa, Minas Gerais, Brazil; University of Toronto, Department of Ecology and Evolutionary Biology, 25 Harbord St, Toronto, ON, Canada; Universidade Estadual Paulista-UNESP, Departamento de Ecologia, Rio Claro, Avenida 24 A, 1515, Bela Vista, São Paulo, Brazil; Universidade Federal de Viçosa, Departamento de Estatistica, Viçosa, Minas Gerais, Brazil },
    AUTHOR_KEYWORDS = { Amazon forest; Canonical correspondence analysis; Ripley`s K; Soil nutrients; Spatial point pattern },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.4067/S0717-92002014000300009 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921292109&doi=10.4067%2fS0717-92002014000300009&partnerID=40&md5=33c8089d4eb4543191e8a1d9d8ae515f },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Mycorhizes_2019 ****************** **********************************************************

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...