2018
DOI: 10.1051/itmconf/20182300019
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of trophic parameters in newly built reservoir using canonical variates analysis

Abstract: Wielkopolska region has precipitation below country average and water shortage is especially visible during spring and summer, thus regeneration of water bodies play important role in saving of water reserves in rural areas. The newly built water reservoir is located in Nienawiszcz, Rogoźno commune, Poland. The aim of study was to compare experimental sites according to parameters describing water trophy like chlorophyll a, dry mass of seston, total organic carbon, biochemical oxygen demand and according to co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7

Relationship

4
3

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 16 publications
0
6
0
Order By: Relevance
“…The data sets was also analysed using canonical variate analysis (Lejeune and Caliński, 2000;Kayzer et al, 2009), a form of multivariate analysis, which makes possible a graphical presentation of the results of estimation the similarities between the studied soil microorganisms (or soil enzymes) for the particular crop rotation system. This method, similar to principal component analysis, was chosen because considering data sets coming from the multidimensional experimental structure, it means besides replicates, the other source of variation are taken into consideration, such as crop rotation system type, measuring series and interactions (Kayzer et al, 2018;Kayzer, 2019). Canonical variates were determined with the procedure developed at the Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poland.…”
Section: Methodsmentioning
confidence: 99%
“…The data sets was also analysed using canonical variate analysis (Lejeune and Caliński, 2000;Kayzer et al, 2009), a form of multivariate analysis, which makes possible a graphical presentation of the results of estimation the similarities between the studied soil microorganisms (or soil enzymes) for the particular crop rotation system. This method, similar to principal component analysis, was chosen because considering data sets coming from the multidimensional experimental structure, it means besides replicates, the other source of variation are taken into consideration, such as crop rotation system type, measuring series and interactions (Kayzer et al, 2018;Kayzer, 2019). Canonical variates were determined with the procedure developed at the Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poland.…”
Section: Methodsmentioning
confidence: 99%
“…Canonical variate coordinates are directions in multivariate space that maximally separate the predefined groups of the analyzed dataset 33 , 34 . Canonical variate analysis (CVA) and modifications thereof are widely used in various scientific fields, not only to study the content of elements 35 , but also environmental 36 , agriculture and biological sciences 37 and economics 38 . Additionally, the CVA, similar to principal component analysis, also showed relations between selected experimental objects and the variables that describe them 39 , 40 .…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, canonical variate coordinates, which determine the relationship between apple orchard sites under certain climatic conditions, made it possible to present the position of selected experimental objects and describe the yield and quality of apples in the space of the canonical variates [19,20]. Canonical variate analysis is widely used in various scientific fields, not only study of agriculture experiments, but also environmental [21,22], biological sciences [23], food science [24] and economic [25].…”
Section: Measurements and Observationsmentioning
confidence: 99%
“…and . The vectors are called the h th canonical coordinates, and the vectors are called the h th dual canonical coordinates [19,20]. Dividing dual coordinates by the inverse of the roots of the eigenvalues and shifting using vector means that the averages of the yield and quality of apples for apple orchard sites in the particular year have the same values in both considered canonical spaces.…”
Section: Measurements and Observationsmentioning
confidence: 99%