Study of the tree species effect on the soil by means of discriminant analysis
A multi-sided study of the interactions between forest and soil requires choosing sample plots in such a way when their soil characteristics are as similar as possible but the types of biocoenoses are different. This study employed materials from the database “Soils of Karelia”, which has pooled tog...
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ftdoajarticles:oai:doaj.org/article:1e7cf314026948d3a717a0711a100d6d 2024-01-28T10:08:50+01:00 Study of the tree species effect on the soil by means of discriminant analysis A. N. Solodovnikov V. A. Rozhkov 2019-03-01T00:00:00Z https://doi.org/10.19047/0136-1694-2019-96-22-46 https://doaj.org/article/1e7cf314026948d3a717a0711a100d6d RU rus V.V. Dokuchaev Soil Science Institute https://bulletin.esoil.ru/jour/article/view/331 https://doaj.org/toc/0136-1694 https://doaj.org/toc/2312-4202 0136-1694 2312-4202 doi:10.19047/0136-1694-2019-96-22-46 https://doaj.org/article/1e7cf314026948d3a717a0711a100d6d Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 96, Pp 22-46 (2019) forest type effect on soil database statistical methods Agriculture (General) S1-972 article 2019 ftdoajarticles https://doi.org/10.19047/0136-1694-2019-96-22-46 2023-12-31T01:46:18Z A multi-sided study of the interactions between forest and soil requires choosing sample plots in such a way when their soil characteristics are as similar as possible but the types of biocoenoses are different. This study employed materials from the database “Soils of Karelia”, which has pooled together long-term data on soils of the Republic of Karelia. The aim of the analysis was to identify the soil traits that are the most sensitive to the type of biocoenosis. The biocoenoses chosen for the analysis were automorphic pine, spruce and birch communities, collectively accounting for 99 % of forest stands in Karelia, growing on podzolic-type Al-Fe-humus soils with sandy texture over sandy or loamy-sand till, which represent the most widespread type of soils in the study area. The analysis was performed for the following soil horizons: forest floor (O), eluvial (E) and illuvial (B). In order to characterize the soil horizons the physico-chemical parameters were used: рН (KCl), total С and N content, labile P205 and K20 compounds content, and gross content of SiO2, TiO2, Al2O3, Fe2O3, MnO, MgO, CaO, Na2O, K2O, P2O5. Discriminant analysis was employed to determine the traits contributing the most to the differentiation of biocoenosis types. The contribution of the traits to differentiation between groups was measured by Wilks’ lambda. Overall, the analysis has shown that N and C content the most significantly reflect the changes happening under the effect of the forest, both in the organic and in the mineral parts of the soil, as corroborated by the findings of numerous Russian and foreign researchers. Article in Journal/Newspaper Republic of Karelia Directory of Open Access Journals: DOAJ Articles Lambda ENVELOPE(-62.983,-62.983,-64.300,-64.300) Dokuchaev Soil Bulletin 96 22 46 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
Russian |
topic |
forest type effect on soil database statistical methods Agriculture (General) S1-972 |
spellingShingle |
forest type effect on soil database statistical methods Agriculture (General) S1-972 A. N. Solodovnikov V. A. Rozhkov Study of the tree species effect on the soil by means of discriminant analysis |
topic_facet |
forest type effect on soil database statistical methods Agriculture (General) S1-972 |
description |
A multi-sided study of the interactions between forest and soil requires choosing sample plots in such a way when their soil characteristics are as similar as possible but the types of biocoenoses are different. This study employed materials from the database “Soils of Karelia”, which has pooled together long-term data on soils of the Republic of Karelia. The aim of the analysis was to identify the soil traits that are the most sensitive to the type of biocoenosis. The biocoenoses chosen for the analysis were automorphic pine, spruce and birch communities, collectively accounting for 99 % of forest stands in Karelia, growing on podzolic-type Al-Fe-humus soils with sandy texture over sandy or loamy-sand till, which represent the most widespread type of soils in the study area. The analysis was performed for the following soil horizons: forest floor (O), eluvial (E) and illuvial (B). In order to characterize the soil horizons the physico-chemical parameters were used: рН (KCl), total С and N content, labile P205 and K20 compounds content, and gross content of SiO2, TiO2, Al2O3, Fe2O3, MnO, MgO, CaO, Na2O, K2O, P2O5. Discriminant analysis was employed to determine the traits contributing the most to the differentiation of biocoenosis types. The contribution of the traits to differentiation between groups was measured by Wilks’ lambda. Overall, the analysis has shown that N and C content the most significantly reflect the changes happening under the effect of the forest, both in the organic and in the mineral parts of the soil, as corroborated by the findings of numerous Russian and foreign researchers. |
format |
Article in Journal/Newspaper |
author |
A. N. Solodovnikov V. A. Rozhkov |
author_facet |
A. N. Solodovnikov V. A. Rozhkov |
author_sort |
A. N. Solodovnikov |
title |
Study of the tree species effect on the soil by means of discriminant analysis |
title_short |
Study of the tree species effect on the soil by means of discriminant analysis |
title_full |
Study of the tree species effect on the soil by means of discriminant analysis |
title_fullStr |
Study of the tree species effect on the soil by means of discriminant analysis |
title_full_unstemmed |
Study of the tree species effect on the soil by means of discriminant analysis |
title_sort |
study of the tree species effect on the soil by means of discriminant analysis |
publisher |
V.V. Dokuchaev Soil Science Institute |
publishDate |
2019 |
url |
https://doi.org/10.19047/0136-1694-2019-96-22-46 https://doaj.org/article/1e7cf314026948d3a717a0711a100d6d |
long_lat |
ENVELOPE(-62.983,-62.983,-64.300,-64.300) |
geographic |
Lambda |
geographic_facet |
Lambda |
genre |
Republic of Karelia |
genre_facet |
Republic of Karelia |
op_source |
Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 96, Pp 22-46 (2019) |
op_relation |
https://bulletin.esoil.ru/jour/article/view/331 https://doaj.org/toc/0136-1694 https://doaj.org/toc/2312-4202 0136-1694 2312-4202 doi:10.19047/0136-1694-2019-96-22-46 https://doaj.org/article/1e7cf314026948d3a717a0711a100d6d |
op_doi |
https://doi.org/10.19047/0136-1694-2019-96-22-46 |
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Dokuchaev Soil Bulletin |
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96 |
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22 |
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46 |
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