2019
DOI: 10.1080/23818107.2019.1684359
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Rare plant communities of the Vis Archipelago (Croatia)

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Cited by 9 publications
(8 citation statements)
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“…Non-multidimensional scaling ordination (NMDS) and Principal Component Analysis (PCA) were done to visualize the floristic associations among the main taxonomic units (communities) [53] using the package "vegan" [54]. Analysis of Similarities (ANOSIM p < 0.001, 5039 permutations) was carried out to determine the significant variations in recorded plant species composition between communities.…”
Section: Data Analysesmentioning
confidence: 99%
“…Non-multidimensional scaling ordination (NMDS) and Principal Component Analysis (PCA) were done to visualize the floristic associations among the main taxonomic units (communities) [53] using the package "vegan" [54]. Analysis of Similarities (ANOSIM p < 0.001, 5039 permutations) was carried out to determine the significant variations in recorded plant species composition between communities.…”
Section: Data Analysesmentioning
confidence: 99%
“…The recorded species and sampled stands were constrained in association to the ecological variables [ 86 , 87 ], which were divided into geographic, slope aspect, edaphic, and climatic variables. For the identification and classification of plant communities [ 53 ], the two-way indicator species analysis (TWINSPAN) was processed using PC-ORD version 5.0 [ 87 , 88 , 89 ]. A georeferenced map was generated with ArcGIS version 10.1 to depict the distribution pattern of plant communities.…”
Section: Methodsmentioning
confidence: 99%
“…First, we built the best model with the lowest number of variables (those that most explain variance), through the step function in R. Next, we also evaluated multicollinearity between variables of the final model using Variance Inflation Factor (VIF), and we removed any variable with VIF >10, one at a time. Non-multidimensional scaling ordination (NMDS) [ 89 , 94 ] was performed using the software R 4.0.1 [ 95 , 96 , 97 ]. NMDS was conducted to evaluate the correlation of recognized plant communities with their associated species.…”
Section: Methodsmentioning
confidence: 99%
“…TWINSPAN was processed for the identification of the plant communities [35] based on species classification and sample clustering [72]. RStudio 4.0.0 [70] was used for processing non-multidimensional scaling ordination (NMDS) and principal component analysis (PCA) [73], ternary plot using the "Ternary" package [74], GLM with Gaussian error distribution and Likelihood ratio test [75], the spatial turnover and nestedness-resultant components of beta diversity, dissimilarity analysis [76,77], canonical correspondence analysis (CCA), and variation partitioning tests (partial CCA) [70]. The NMDS and PCA bi-plot ordinations were used to evaluate the correlation of environmental gradients with communities.…”
Section: Statistical Analysesmentioning
confidence: 99%