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multidimensional scaling

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Image
Published: 01 April 2005
Figure 5. Non metric multidimensional scaling (nMDS) plot obtained combining the physical-chemical data of the samples collected during the pilot project ( Table 2 ) with those of unpolluted coastal sediment samples ( Table 3 ). More
Image
Published: 02 January 2015
Figure 3. Multidimensional scaling of the zooplankton community during spring, summer and fall. Symbols indicate region (Kingston Basin [KB], Offshore [OS] and Nearshore [NS]) and filled symbols are from 2003, open symbols from 2008. WWC = Whole water column. Two-D stress ranged from 0.08 to More
Image
Published: 02 January 2018
Figure 6. Non-Multidimensional scaling ordination (nMDS) plots showing similarities between samples with no transformation based on coralline algae abundance data. Symbols indicate different sampling sites, IS: inshore; OS: offshore. More
Image
Published: 28 February 2011
Figure 4. Non-metric multidimensional scaling ordination of Bay of Quinte Station B Bray-Curtis phytoplankton community similarity coefficients grouped as per Figure 3 , and including 10 synthetically derived reference phytoplankton associations (see Methods for details). More
Image
Published: 02 October 2017
Figure 2. Non-metric multidimensional scaling graph (2D) using Bray-Curtis distance to show similarity grade of O. mykiss and H. macraei prey abundance composition grouped by season. Catfish: Autumn (AU_C); spring (SP_C); summer (SU_C); and Trout: Autumn (AU_T); spring (SP_T); summer (SU_T More
Image
Published: 10 March 2008
Figure 1. Nonmetric Multidimensional Scaling of inland and coastal wetland species abundance data (stress = 21.22, p = 0.0323). Data set edited following procedures in Mack (2004a) and Gouch (1982). The two circles (long-dash) representative clusters of high and low quality inland wetlands More
Image
Published: 28 February 2011
Figure 3. Non-metric multidimensional scaling ordination of Bray-Curtis phytoplankton community similarity coefficients grouped into before and after time blocks associated with the point-source phosphorus loading reduction (winter of 1977–1978) and the dreissenid mussel establishment in the mid More
Image
Published: 01 April 2005
Figure 5 . Non-metric multidimensional scaling of the total fatty acid compositions of Megalodicopida hians (filled triangle) and the selected deep-sea benthos (filled circles). The M. hians specimens are grouped and other benthos clustered in the dendrogram ( Figure 4 ) with the Euclidean More
Image
Published: 02 April 2020
Figure 3. Non-metric multidimensional scaling and the factorial analysis of the samples collected in March and in October considering OTUs and the environmental conditions. More
Journal Article
Aquatic Ecosystem Health & Management (2015) 18 (2): 232–239.
Published: 03 April 2015
... information system tools have been used for integration of species and mesohabitat data. Nonmetric multidimensional scaling, cluster analysis and analysis of similarity techniques have been used for similarity analysis. Logistic regression model has been applied for model-based inferences on family...
Journal Article
Aquatic Ecosystem Health & Management (2011) 14 (4): 356–375.
Published: 01 October 2011
... coastal wetlands, and (4) a non-metric multidimensional scaling for wetland plants corresponding to a cumulative stress index. These biotic measures serve as useful indicators of the ecological condition of the Lake Superior coast; collectively, they provide a baseline assessment of selected biological...
Journal Article
Aquatic Ecosystem Health & Management (2013) 16 (4): 395–407.
Published: 01 October 2013
... major carps. A tropic shift towards dominance of carnivore catfish species is evident. Non-metric multidimensional scaling revealed greater distribution and abundance of fish species with increasing river width and depth, higher sediment organic carbon, silt and clay along the river gradient. A...
Includes: Supplementary data
Journal Article
Aquatic Ecosystem Health & Management (2016) 19 (3): 314–325.
Published: 02 July 2016
... of the estuary. Cluster analysis and multidimensional scaling ordinations indicated the presence of three distinct zones of macrofaunal communities in the estuary. Multivariate analyses showed a strong relationship exists between the macrofaunal communities and the environmental parameters in the...
Journal Article
Aquatic Ecosystem Health & Management (2013) 16 (4): 374–384.
Published: 01 October 2013
... monsoon, and they are severely impacted by copepods and cladocerans, (c) there is distinct spatial heterogeneity within the sampled stretch and (d) periodicity of community structure differs spatially. Copyright © AEHMS 2013 invertebrates Ganges multidimensional scaling rotifers hierarchical...
Includes: Supplementary data
Journal Article
Aquatic Ecosystem Health & Management (2000) 3 (1): 179–189.
Published: 01 January 2000
... components analysis (PCA; Cart 1996). Cluster analysis and non-metric multidimensional scaling (MDS) were used to examine similarities among sites based on macroinvertebrate community composition (Clarke and Warwick, 1994; Carr, 1996). Results from the MDS ordination were correlated with land-use and water...
Journal Article
Aquatic Ecosystem Health & Management (2001) 4 (4): 393–400.
Published: 01 December 2001
... comprising Great Britain. In some cases, distribution and abundance of fish species and their population sizes are constrained by habitat degradation. There is a growing awareness of the multidimensional importance of habitat management to develop and maintain high quality fisheries. Current knowledge of...
Journal Article
Aquatic Ecosystem Health & Management (2016) 19 (4): 360–367.
Published: 01 October 2016
... sites of the eastern part of Rameswaram Island. Metric multi-dimensional scaling analysis showed three major clusters with 75% similarity based on life-form categories observed in the reef ecosystem. In this study, there was a significant segregation of study sites of the eastern part of Rameswaram...
Includes: Supplementary data
Journal Article
Aquatic Ecosystem Health & Management (2008) 11 (1): 91–104.
Published: 10 March 2008
...Figure 1. Nonmetric Multidimensional Scaling of inland and coastal wetland species abundance data (stress = 21.22, p = 0.0323). Data set edited following procedures in Mack (2004a) and Gouch (1982). The two circles (long-dash) representative clusters of high and low quality inland wetlands...
Journal Article
Aquatic Ecosystem Health & Management (2013) 16 (4): 385–394.
Published: 01 October 2013
... multidimensional scaling (NMDS) ordination was applied to test the similarities in the macrobenthic diversity among 4 seasons. For parametric analyses the abundance data were log(x+1) transformed to reduce heteroscadisticity The software package Paleontological Statistics (PAST) software (Hammer et al., 2001...
Includes: Supplementary data
Journal Article
Aquatic Ecosystem Health & Management (2019) 22 (4): 462–472.
Published: 02 October 2019
... composition between CP and DP were illustrated using non-metric multidimensional scaling (NMDS) based on Bray-Curtis dissimilarity distances using arcsine square root transformation. These analyses were performed in R v3.4.1 (R Core Team, 2014 ; www.R-project.org ) and in the library vegan (Oksanen et al...
Includes: Supplementary data