Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica
ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmen...
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ftdoajarticles:oai:doaj.org/article:255d49e6d5b74854976345af29fa5405 2023-05-15T13:48:18+02:00 Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica André Geraldo de Lima Moraes Marcio Rocha Francelino Waldir de Carvalho Junior Marcos Gervasio Pereira André Thomazini Carlos Ernesto Gonçalves Reynaud Schaefer 2018-01-01T00:00:00Z https://doi.org/10.1590/18069657rbcs20170021 https://doaj.org/article/255d49e6d5b74854976345af29fa5405 EN eng Sociedade Brasileira de Ciência do Solo http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100316&lng=en&tlng=en https://doaj.org/toc/1806-9657 1806-9657 doi:10.1590/18069657rbcs20170021 https://doaj.org/article/255d49e6d5b74854976345af29fa5405 Revista Brasileira de Ciência do Solo, Vol 41, Iss 0 (2018) kriging geostatistical methods soil variability Agriculture (General) S1-972 article 2018 ftdoajarticles https://doi.org/10.1590/18069657rbcs20170021 2022-12-31T05:59:24Z ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic carbon, and pH) and environmental covariates. The environmental covariates selected were correlated with soil properties according to the terrain attributes of the digital elevation model (DEM). The models evaluated were linear regression, ordinary kriging, and regression kriging. The best performance was obtained using normalized height as a covariate, with an R2 of 0.59 for sand. In contrast, the lowest R2 of 0.15 was obtained for organic carbon, also using the regression kriging method. Overall, results indicate that, despite the predominant periglacial conditions, the environmental covariates normally used for digital terrain mapping of soil properties worldwide can be successfully employed for understanding the main variations in soil properties and soil-forming factors in this region. Article in Journal/Newspaper Antarc* Antarctica Directory of Open Access Journals: DOAJ Articles Keller ENVELOPE(-58.406,-58.406,-62.073,-62.073) Keller peninsula ENVELOPE(-58.406,-58.406,-62.073,-62.073) Revista Brasileira de Ciência do Solo 41 0 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
kriging geostatistical methods soil variability Agriculture (General) S1-972 |
spellingShingle |
kriging geostatistical methods soil variability Agriculture (General) S1-972 André Geraldo de Lima Moraes Marcio Rocha Francelino Waldir de Carvalho Junior Marcos Gervasio Pereira André Thomazini Carlos Ernesto Gonçalves Reynaud Schaefer Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
topic_facet |
kriging geostatistical methods soil variability Agriculture (General) S1-972 |
description |
ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic carbon, and pH) and environmental covariates. The environmental covariates selected were correlated with soil properties according to the terrain attributes of the digital elevation model (DEM). The models evaluated were linear regression, ordinary kriging, and regression kriging. The best performance was obtained using normalized height as a covariate, with an R2 of 0.59 for sand. In contrast, the lowest R2 of 0.15 was obtained for organic carbon, also using the regression kriging method. Overall, results indicate that, despite the predominant periglacial conditions, the environmental covariates normally used for digital terrain mapping of soil properties worldwide can be successfully employed for understanding the main variations in soil properties and soil-forming factors in this region. |
format |
Article in Journal/Newspaper |
author |
André Geraldo de Lima Moraes Marcio Rocha Francelino Waldir de Carvalho Junior Marcos Gervasio Pereira André Thomazini Carlos Ernesto Gonçalves Reynaud Schaefer |
author_facet |
André Geraldo de Lima Moraes Marcio Rocha Francelino Waldir de Carvalho Junior Marcos Gervasio Pereira André Thomazini Carlos Ernesto Gonçalves Reynaud Schaefer |
author_sort |
André Geraldo de Lima Moraes |
title |
Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
title_short |
Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
title_full |
Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
title_fullStr |
Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
title_full_unstemmed |
Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica |
title_sort |
environmental correlation and spatial autocorrelation of soil properties in keller peninsula, maritime antarctica |
publisher |
Sociedade Brasileira de Ciência do Solo |
publishDate |
2018 |
url |
https://doi.org/10.1590/18069657rbcs20170021 https://doaj.org/article/255d49e6d5b74854976345af29fa5405 |
long_lat |
ENVELOPE(-58.406,-58.406,-62.073,-62.073) ENVELOPE(-58.406,-58.406,-62.073,-62.073) |
geographic |
Keller Keller peninsula |
geographic_facet |
Keller Keller peninsula |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Revista Brasileira de Ciência do Solo, Vol 41, Iss 0 (2018) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100316&lng=en&tlng=en https://doaj.org/toc/1806-9657 1806-9657 doi:10.1590/18069657rbcs20170021 https://doaj.org/article/255d49e6d5b74854976345af29fa5405 |
op_doi |
https://doi.org/10.1590/18069657rbcs20170021 |
container_title |
Revista Brasileira de Ciência do Solo |
container_volume |
41 |
container_issue |
0 |
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1766249084461514752 |