USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

Soil erosion by rainfall is a process that demands management, both for the prevention of excessive soil erosion and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapp...

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Autores principales:	Beretta-Blanco,Andrés, Carrasco-Letelier,Leonidas
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2017
Materias:	soil classification parent material soil texture soil chemistry
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202017000100011
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spelling	oai:scielo:S0718-162020170001000112017-05-31USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soilsBeretta-Blanco,AndrésCarrasco-Letelier,Leonidas soil classification parent material soil texture soil chemistry Soil erosion by rainfall is a process that demands management, both for the prevention of excessive soil erosion and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapped Uruguayan soil types at 1:1,000,000 scale. This work developed a linear mixed model (LMM) with 79 soils with assigned K-factors, in which the following variables were considered: soil taxonomy, chemical composition, and parent material. The developed LMM had an R²=0.86, in which the soil taxonomy (p<0.0001), parent material (p=0.0174), clay (p=0.0005) and sand (p=0.017) contents had significant statistical effects. The prediction capacity of this model was assessed with 10 soils not previously used in development of the LMM with assigned K-factors. The prediction assessment had an R²=0.84 and a mean error of 9.08% of the mean K-factor value. The LMM developed was used for the allocation of K-factors to soils mapped at a 1:20,000-resolution. Thus, the use of LMM increased the soil area with assigned K-factors from 111,822 km² (at a scale of 1:1,000,000) to 174,132 km² (1:20,000).info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.44 n.1 20172017-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202017000100011en10.7764/rcia.v44i1.1622
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	soil classification parent material soil texture soil chemistry
spellingShingle	soil classification parent material soil texture soil chemistry Beretta-Blanco,Andrés Carrasco-Letelier,Leonidas USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
description	Soil erosion by rainfall is a process that demands management, both for the prevention of excessive soil erosion and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapped Uruguayan soil types at 1:1,000,000 scale. This work developed a linear mixed model (LMM) with 79 soils with assigned K-factors, in which the following variables were considered: soil taxonomy, chemical composition, and parent material. The developed LMM had an R²=0.86, in which the soil taxonomy (p<0.0001), parent material (p=0.0174), clay (p=0.0005) and sand (p=0.017) contents had significant statistical effects. The prediction capacity of this model was assessed with 10 soils not previously used in development of the LMM with assigned K-factors. The prediction assessment had an R²=0.84 and a mean error of 9.08% of the mean K-factor value. The LMM developed was used for the allocation of K-factors to soils mapped at a 1:20,000-resolution. Thus, the use of LMM increased the soil area with assigned K-factors from 111,822 km² (at a scale of 1:1,000,000) to 174,132 km² (1:20,000).
author	Beretta-Blanco,Andrés Carrasco-Letelier,Leonidas
author_facet	Beretta-Blanco,Andrés Carrasco-Letelier,Leonidas
author_sort	Beretta-Blanco,Andrés
title	USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
title_short	USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
title_full	USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
title_fullStr	USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
title_full_unstemmed	USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils
title_sort	usle/rusle k-factors allocated through a linear mixed model for uruguayan soils
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202017000100011
work_keys_str_mv	AT berettablancoandres usleruslekfactorsallocatedthroughalinearmixedmodelforuruguayansoils AT carrascoletelierleonidas usleruslekfactorsallocatedthroughalinearmixedmodelforuruguayansoils
_version_	1714202177037139968

USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

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