A multivariate analysis of the niches of plant populations in raised bogs. I. Niche dimensions

1977 ◽  
Vol 55 (9) ◽  
pp. 1201-1210 ◽  
Author(s):  
E. A. Johnson
Keyword(s):  
Principal Component Analysis ◽  
Mineral Soil ◽  
Surface Water Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Ion Concentration ◽  
Ecological Niches ◽  
Plant Populations ◽  
Analysis Study ◽  
Raised Bogs

Principal component analysis is used as an empirical procedure for defining ecological niches in plant populations in raised bogs. The two niche dimensions identified within the raised bogs are related to mineral-ion concentration: (1) atmospheric input differences owing to proximity to the ocean and (2) mineral-soil groundwater influence. Both of these niche dimensions are related to the two important gradients in the surface water quality of the state of Maine. By comparing the principal component analysis study of the vegetation with the principal component analysis study of the physical environment (peat) using transformation analysis, their very similar but non-linear relationship is demonstrated.

Phenomenology of mixed states: a principal component analysis study

2007 ◽  
Vol 9 (8) ◽  
pp. 907-912 ◽  
Author(s):  
G Bertschy ◽  
N Gervasoni ◽  
S Favre ◽  
C Liberek ◽  
E Ragama-Pardos ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Mixed States ◽  
Analysis Study

scholarly journals Principal component analysis of surface water quality data of the River Drava in eastern Croatia (24 year survey)

2012 ◽  
Vol 14 (4) ◽  
pp. 1051-1060 ◽  
Author(s):  
Vlatka Gvozdić ◽  
Josip Brana ◽  
Nela Malatesti ◽  
Danijela Roland
Keyword(s):  
Principal Component Analysis ◽  
Heterotrophic Bacteria ◽  
Surface Water Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Quality Data ◽  
Pollution Level ◽  
Complex Data ◽  
Contributing Factors ◽  
Water Quality Data

The River Drava is one of the major, inexhaustible water sources not only for Croatia, but also for the other European countries it flows through. This study is based on the observations of 15 water variables at three sampling stations in the lower River Drava over a 24 year period. Although the obtained results revealed an improvement of most of the parameters, the values of some of them (i.e. NH4-N, NO3-N, BOD5, total coliform and heterotrophic bacteria) are still above the approved limits for water Class II. The results of principal component analysis (PCA) confirmed an existence of three clearly separated zones. The first zone corresponds to a rural upstream part of River Drava, which is characterised with low level pollution. The influences of untreated domestic waters become more noticeable in the second more densely populated suburban zone (II) located upstream of the city of Osijek. According to the results of the PCA, untreated wastewaters from Osijek are becoming contributing factors to the high pollution level of the river in the third (III) suburban zone. This study shows the usefulness of the PCA method for analysis and interpretation of complex data sets as well as for determination of pollution sources.

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