Principal component analysis of technosols ecological properties

K.P. Maslikova

Abstract


The article shows the agreed dynamic variation of physical properties and phytoindication assessments of the ecological regimes of the Nikopol manganese ore basin technosols by means of principal components analysis. The study was conducted at Dnipro State Agricultural University Research Center in city Pokrov during 2012-2014. Data on the aggregate structure was processed by composite analysis. The application of the log transformation of aggregate soil particle distribution data allowed to obtain new non-correlated variables that are able to reproduce the matrix of distances between sampling points that are most correlated with other environmental properties of technosols. Results of principal components analysis allowed to reproduce initial variables by seven principal component with eigenvalues dominated one. These components describe 72.4% variation feature space. The principal components are the integral variables that are sensitive to the dynamics of agreed environmental properties of technosols and have a differential ability. Each of the principal component indicates features of technosols types or a particular group. By their nature, certain selected features directly characterize the soil in the context of its importance as a habitat of living organisms. Also important group of signs are phytoindication assessment of the ecological regimes. Variation of edaphic characteristics as well as environmental assessments are based on the properties of vegetation, synchronized with each other. Such synchronization enables a more profound interpretation of environmental indicators that have independent significance.


Keywords


physical properties;composite variables;principal components analysis;phytoindication;ecological regimes

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References


Aitchison, J. (1986). The statistical analysis of compositional data. London: Chapman and Hall.

Butler, A., Bierman, S., Marion G. (2005). Statistical methods for environmental risk assessment. Compositional data module. Biomathematics and Statistics Scotland, The University of Edinburgh, James Clerk Maxwell Building, The King’s Buildings, Edinburgh EH9 3JZ.. (htpp://www.bioss.ac.uk/staff.html).

Demidov, A.A., Kobets, A.S., Gritsan, Yu.I., Zhukov, A.V. (2013). Spatial agricultural ecology and soil recultivation. Dnepropetrovsk: A.L. Svidler Press. DOI: 10.13140/RG.2.1.5175.5040

Diduh, Y. P. (2012). The principles of the bioindication. Kyiv: Naukova dumka (in Ukranian).

Didukh, Ya.P. (2011). The ecological scales for the species of Ukrainian flora and their use in synphytoindication. Kyiv: Phytosociocentre.

Egozcue, J. J., Pawlowsky–Glahn, V. (2005). Groups of parts and their balances in compositional data analysis. Mathematical Geology, 795–828.

Gerald K. van den Boogaart, Raimon Tolosana and Matevz Bren (2014). compositions: Compositional Data Analysis. R package version 1.40-1. https://CRAN.R-project.org/package=compositions

Maslikova, K.P., Ladska, I.V., Zhukov, O.V. (2016). Permeability of soils in artificially created models with different stratigraphy. Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University. 6 (3), 234–247.

DOI: http://dx.doi.org/10.15421/201693

Maslikova, K.P. (2018). Management of functional properties of recultozem models with placement primary stratigraphy. Ukrainian Journal of Ecology, 8(1), 619–627. doi: 10.15421/2018_257

Parent, L. E., Parent, S.–E., Katterer, T., Egozcue, J. J. (2011). Fractal and compositional analysis of soil aggregation. Proceedings of the 4th International Workshop on Compositional Data Analysis. Codawork 2011, San Feliu de Guixols, Spain, May 9–13. 1–14.

Pawlowsky-Glahn, V., Egozcue, J. J., Tolosana–Delgado, R. (2011). Principal balances to analyse the geochemistry of sediments. Annual Conference of the International Association for Mathematical Geosciences, Proceedings, September 5–9, 1–10.

Pearson, K. (1897). Mathematical contributions to the theory of evolution. On a form of spurious correlation which may arise when indices are used in the measurement of organs. Proceedings of the Royal Society of London, 489–502.

R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Thomas, C. W., Aitchison, J. (2006). Log–ratios and geochemical discrimination of Scottish Dalradian limestones: a case study. Compositional data analysis in the geosciences: from theory to practice. Geological Society, London, Special Publication, 25–41.

Vernadsky, V. I. (1923). A plea for the establishment of a biogeochemical laboratory. The Marine Biol. Stat. of Part Erin Annual Report, 37, 38–43.

Zhukov, A. V. (2015). Phytoindicator estimation of the multidimensional scaling of the plant community structure. Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University, 1 (1), 69–93 (in Russian).

Zhukov, A. V., Shatalin, D.B. (2016). Hygrotope and trophotope of the steppe pridniprovie biogeoceonosis as determinants of the earthworms (Lumbricidae) communities β–diversity. Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University, 6 (2), 129–157 (in Russian). DOI: 10.15421/201651

Zhukov, A.V., Andrusevich, K.V., Lapko, K. V., Sirotina, V. O. (2015). Geostatistical estimation of soil aggregate structure as a composite variable. Biological Bulletin, 3, 101–121 (in Russian).

http://dx.doi.org/10.7905/bbmspu.v5i3.989

Zhukov, A.V., Kunah, O.N., Novikova, V.A., Ganzha, D.S. (2016). Phytoindication estimation of soil mesopedobionts communities catena and their ecomorphic organization. Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University, 6 (3), 91–117 (in Russian). DOI: http://dx.doi.org/10.15421/201676

Zhukov, A.V., Zadorozhnaya, G.A. (2016). Spatio-temporal dynamics of the penetration resistance of recultivated soils formed after open cast mining. Visnyk of Dnipropetrovsk University. Biology, ecology, 24(2), 324–331 (in Russian). DOI: 10.15421/011642

Zhukov, O.V. (2015). Influence of usual and dual wheels on soil penetration resistance: the GIS-approach. Biological Bulletin Of Bogdan Chmelnitskiy Melitopol State Pedagogical University, 3, 73–100. DOI: 10.7905/bbmspu.v5i3.988

Zhukov, O.V., Kunah, O.M., Taran, V.O., Lebedinska, M. M. (2016). Spatial variability of soils electrical conductivity within arena of the river dnepr valley (territory of the natural reserve “Dniprovsko–Orilsky”). Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University, 6 (2), 129–157 (in Ukranian). DOI: http://dx.doi.org/10.15421/201646

Zhukov, O.V., Zadorozhna, G.O., Maslikova, K.P., Andrusevych, K.V., Lyadskaya, I.V. (2017). Tehnosols Ecology: Monograph. Dnipro: Zhurfond, 442. (in Ukrainian).

Zonn, S.V., Travleev, A.P. (1989). Geographical and genetic aspects of pedogenesis, evolution and preservation of soil. Naukova Dumka, Kyiv, 216




DOI: http://dx.doi.org/10.15421/2018_316

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