1987
DOI: 10.2307/2844944
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Stand Structure and Dynamics in the Temperate Rain Forests of Chiloe Archipelago, Chile

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Cited by 64 publications
(56 citation statements)
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“…UPGMA is a consistent agglomerative clustering algorithm in which between-group dissimilarities are calculated as the average of all possible pairs of members of each group [28]. To perform the cluster analysis we included all the tree species from this study and those reported by other authors for evergreen forests of the North-Patagonian archipelago [8][9][10]13,[16][17][18] (see list of tree species in supplementary Table S1). This approach could be influenced by the different sampling effort between studies, but since we focused the analysis only on tree species, this should not be a problem.…”
Section: Experimental Design and Statistical Analysismentioning
confidence: 99%
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“…UPGMA is a consistent agglomerative clustering algorithm in which between-group dissimilarities are calculated as the average of all possible pairs of members of each group [28]. To perform the cluster analysis we included all the tree species from this study and those reported by other authors for evergreen forests of the North-Patagonian archipelago [8][9][10]13,[16][17][18] (see list of tree species in supplementary Table S1). This approach could be influenced by the different sampling effort between studies, but since we focused the analysis only on tree species, this should not be a problem.…”
Section: Experimental Design and Statistical Analysismentioning
confidence: 99%
“…The tree species composition from the present study showed a greater similarity to the North-Patagonian forests of the Taitao Peninsula (JI = 0.538) and the North-Patagonian forest studied by Gutierrez et al [13] (JI = 0.529) as compared with the forests of central and northern Chiloé (JI mean = 0.293). [18], Chiloé_N2 = North-Patagonian forest of Gutiérrez et al [13], and Group 2: Chiloé_C = Armesto and Fuentes [17], Chiloe_C2 = Donoso et al [9], Chiloé_C3 = Veblen [16], Chiloé_ARC = Armesto and Figueroa [10], Chiloé_N1 = Valdivian forest of Gutiérrez et al [13], Chiloé_NW = Donoso et al [8]. Note: Different letters indicate significant differences (P < 0.05) between each forest group, n = number of plots; * Understory woody species.…”
Section: Similarity Between Evergreen Forests Of the Regionmentioning
confidence: 99%
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“…Estos tres modelos (tolerancia, facilitación e inhibición) pueden actuar durante la sucesión como hipótesis no excluyentes (Pickett et al 1987). En el bosque templado del sur de Chile, la mayoría de los estudios de regeneración arbórea se han realizado en el interior de bosques primarios y secundarios (Armesto & Figueroa 1987, Lusk 1995, Christie & Armesto 2003. Muy pocos trabajos han evaluado la regeneración leñosa en sitios de matorral secundario (e.g., Papic 2000, Aravena et al 2002.…”
Section: Discussionunclassified