A comparison of indexing methods to evaluate quality of soils the role of soil microbiological properties

The study evaluates and compares two procedures for selecting soil quality indicators [used for the construction of soil quality indices, SQI] by using diverse chemical, physical, and biological properties, and evaluates the role of soil microbiological properties in the construction of SQI. Differe...

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Detalles Bibliográficos
Otros Autores: Romaniuk, Romina Ingrid, Giuffré, Lidia L., Costantini, Alejandro Oscar, Bartoloni, Norberto José, Nannipieri, Paolo
Formato: Artículo
Lenguaje:Inglés
Materias:
BIOLOGICAL INDICATORS
CHEMICAL INDICATORS
PHYSICAL INDICATORS
SOIL QUALITY
SOIL QUALITY INDICES
ADDITIVE METHODS
AGRICULTURAL PRODUCTIONS
B-INDEX
BASAL RESPIRATION
BIOCHEMICAL PROPERTIES
BIOLOGICAL PROPERTIES
BIOLOGICAL SOIL
BUENOS AIRES , ARGENTINA
CATABOLIC RESPONSE PROFILES
DATA SETS
FUNCTIONAL DIVERSITY
GRASSLAND SOILS
INDEXING METHODS
LABORATORY ANALYSIS
MANAGEMENT PRACTICES
MICRO-BIOLOGICAL PARAMETERS
MICROBIAL BIOMASS CARBON
MICROBIAL COMMUNITIES
MICROBIAL COMMUNITY STRUCTURES
PHOSPHOLIPID FATTY ACIDS
SOIL ENVIRONMENT
SOIL PROPERTY
SOIL QUALITY INDEX
SOIL QUALITY INDICATORS
STANDARD PROTOCOLS
STUDY SITES
SURFACE HORIZONS
TILLED SOILS
UNDISTURBED SOILS
AGRICULTURE
CHEMICAL ANALYSIS
CLASSIFICATION [OF INFORMATION]
FATTY ACIDS
INDICATORS [CHEMICAL]
MICROORGANISMS
PHOSPHOLIPIDS
PRINCIPAL COMPONENT ANALYSIS
RATING
SOILS
QUALITY CONTROL
AGRICULTURAL PRODUCTION
BIOINDICATOR
COMMUNITY STRUCTURE
COMPARATIVE STUDY
DATA SET
GEOMICROBIOLOGY
GRASSLAND SOIL
INDEX METHOD
MANAGEMENT PRACTICE
MICROBIAL ACTIVITY
MICROBIAL COMMUNITY
PHOSPHOLIPID
PHYSICOCHEMICAL PROPERTY
SOIL HORIZON
SOIL MICROORGANISM
SOIL RESPIRATION
TILLAGE
ARGENTINA
BUENOS AIRES [ARGENTINA]
PAMPAS
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2011Romaniuk2.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 1 0 |a A comparison of indexing methods to evaluate quality of soils   |b the role of soil microbiological properties 
520 |a The study evaluates and compares two procedures for selecting soil quality indicators [used for the construction of soil quality indices, SQI] by using diverse chemical, physical, and biological properties, and evaluates the role of soil microbiological properties in the construction of SQI. Different soil environments were selected from an extensive agricultural production site in the rolling pampa, Buenos Aires, Argentina. The plots included an undisturbed soil, a grassland soil, and continuous tilled soils with four different surface horizon depths [25, 23, 19, and 14cm]. Various properties were measured, and a minimum dataset was chosen by principal component analysis [PCA] considering all measured soil properties together [procedure A], or the PCA was performed separately according to classification as physical, chemical, or biological soil properties [procedure B]. The measured soil properties involved physical, chemical, and biochemical properties determined by standard protocols used in routine laboratory analysis [simple SQI, SSQI] or more laborious protocols to determine microbial community structure and function by phospholipid fatty acid [PLFA] and catabolic response profile [CRP], respectively [complex SQI, CSQI]. The selected properties were linearly normalised and integrated by the weight additive method to calculate SSQI A, SSQI B, CSQI A, and CSQI B indices. Two microbiological SQI [MSQI] were also calculated; MSQI 1 considered only biological properties according to the procedure used for calculating SQI; MSQI 2 was calculated by considering three selected microbiological parameters representing the size [microbial biomass carbon], activity [soil basal respiration], and functional diversity [evenness, determined by CRP] of the microbial communities. All of the constructed indices show the same differences among the study sites. The inclusion of CRP and PLFA data in the indices slightly increased, or did not increase, the index sensitivity. Microbiological indices had the same sensitivity as the indices integrated by physical, chemical, and biological properties. An evaluation of the SQI constructed by both procedures found no difference in sensitivity. However, SQI constructed by procedure B allowed evaluation of the effects of management practices on physical, chemical, and biological soil properties. 
653 0 |a BIOLOGICAL INDICATORS 
653 0 |a CHEMICAL INDICATORS 
653 0 |a PHYSICAL INDICATORS 
653 0 |a SOIL QUALITY 
653 0 |a SOIL QUALITY INDICES 
653 0 |a ADDITIVE METHODS 
653 0 |a AGRICULTURAL PRODUCTIONS 
653 0 |a B-INDEX 
653 0 |a BASAL RESPIRATION 
653 0 |a BIOCHEMICAL PROPERTIES 
653 0 |a BIOLOGICAL PROPERTIES 
653 0 |a BIOLOGICAL SOIL 
653 0 |a BUENOS AIRES , ARGENTINA 
653 0 |a CATABOLIC RESPONSE PROFILES 
653 0 |a DATA SETS 
653 0 |a FUNCTIONAL DIVERSITY 
653 0 |a GRASSLAND SOILS 
653 0 |a INDEXING METHODS 
653 0 |a LABORATORY ANALYSIS 
653 0 |a MANAGEMENT PRACTICES 
653 0 |a MICRO-BIOLOGICAL PARAMETERS 
653 0 |a MICROBIAL BIOMASS CARBON 
653 0 |a MICROBIAL COMMUNITIES 
653 0 |a MICROBIAL COMMUNITY STRUCTURES 
653 0 |a PHOSPHOLIPID FATTY ACIDS 
653 0 |a SOIL ENVIRONMENT 
653 0 |a SOIL PROPERTY 
653 0 |a SOIL QUALITY INDEX 
653 0 |a SOIL QUALITY INDICATORS 
653 0 |a SOIL QUALITY INDICES 
653 0 |a STANDARD PROTOCOLS 
653 0 |a STUDY SITES 
653 0 |a SURFACE HORIZONS 
653 0 |a TILLED SOILS 
653 0 |a UNDISTURBED SOILS 
653 0 |a AGRICULTURE 
653 0 |a CHEMICAL ANALYSIS 
653 0 |a CLASSIFICATION [OF INFORMATION] 
653 0 |a FATTY ACIDS 
653 0 |a INDICATORS [CHEMICAL] 
653 0 |a MICROORGANISMS 
653 0 |a PHOSPHOLIPIDS 
653 0 |a PRINCIPAL COMPONENT ANALYSIS 
653 0 |a RATING 
653 0 |a SOILS 
653 0 |a QUALITY CONTROL 
653 0 |a AGRICULTURAL PRODUCTION 
653 0 |a BIOINDICATOR 
653 0 |a COMMUNITY STRUCTURE 
653 0 |a COMPARATIVE STUDY 
653 0 |a DATA SET 
653 0 |a GEOMICROBIOLOGY 
653 0 |a GRASSLAND SOIL 
653 0 |a INDEX METHOD 
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653 0 |a MICROBIAL ACTIVITY 
653 0 |a MICROBIAL COMMUNITY 
653 0 |a PHOSPHOLIPID 
653 0 |a PHYSICOCHEMICAL PROPERTY 
653 0 |a PRINCIPAL COMPONENT ANALYSIS 
653 0 |a SOIL HORIZON 
653 0 |a SOIL MICROORGANISM 
653 0 |a SOIL RESPIRATION 
653 0 |a TILLAGE 
653 0 |a ARGENTINA 
653 0 |a BUENOS AIRES [ARGENTINA] 
653 0 |a PAMPAS 
700 1 |9 12589  |a Romaniuk, Romina Ingrid 
700 1 |9 12918  |a Giuffré, Lidia L. 
700 1 |9 7396  |a Costantini, Alejandro Oscar 
700 1 |9 6346  |a Bartoloni, Norberto José 
700 1 |9 43347  |a Nannipieri, Paolo 
773 |t Soil Research  |g Vol.49, no.8 (2011), p.733-741 
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900 |a ^aGiuffré^bL. 
900 |a ^aCostantini^bA. 
900 |a ^aBartoloni^bN. 
900 |a ^aNannipieri^bP. 
900 |a ^aRomaniuk^bR. I. 
900 |a ^aGiuffré^bL. L. 
900 |a ^aCostantini^bA. O. 
900 |a ^aBartoloni^bN. J. 
900 |a ^aNannipieri^bP. 
900 |a ^aRomaniuk^bR.^tEdafología, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, 1417 Buenos Aires, Argentina 
900 |a ^aGiuffré^bL.^tInstituto de Suelos, INTA, Argentina 
900 |a ^aCostantini^bA.^tDepartamento de Métodos Cuantitativos Aplicados, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, 1417, Buenos Aires, Argentina 
900 |a ^aBartoloni^bN.^tDepartment of Soil Science and Plant Nutrition, University of Firenze, Italy 
900 |a ^aNannipieri^bP. 
900 |a ^tSoil Research^cSoil Res. 
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900 |a 733 
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900 |a Vol. 49, no. 8 
900 |a 741 
900 |a BIOLOGICAL INDICATORS 
900 |a CHEMICAL INDICATORS 
900 |a PHYSICAL INDICATORS 
900 |a SOIL QUALITY 
900 |a SOIL QUALITY INDICES 
900 |a ADDITIVE METHODS 
900 |a AGRICULTURAL PRODUCTIONS 
900 |a B-INDEX 
900 |a BASAL RESPIRATION 
900 |a BIOCHEMICAL PROPERTIES 
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900 |a BIOLOGICAL SOIL 
900 |a BUENOS AIRES , ARGENTINA 
900 |a CATABOLIC RESPONSE PROFILES 
900 |a DATA SETS 
900 |a FUNCTIONAL DIVERSITY 
900 |a GRASSLAND SOILS 
900 |a INDEXING METHODS 
900 |a LABORATORY ANALYSIS 
900 |a MANAGEMENT PRACTICES 
900 |a MICRO-BIOLOGICAL PARAMETERS 
900 |a MICROBIAL BIOMASS CARBON 
900 |a MICROBIAL COMMUNITIES 
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900 |a PHOSPHOLIPID FATTY ACIDS 
900 |a SOIL ENVIRONMENT 
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900 |a SOIL QUALITY INDEX 
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900 |a SOIL QUALITY INDICES 
900 |a STANDARD PROTOCOLS 
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900 |a UNDISTURBED SOILS 
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900 |a SOIL HORIZON 
900 |a SOIL MICROORGANISM 
900 |a SOIL RESPIRATION 
900 |a TILLAGE 
900 |a ARGENTINA 
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900 |a PAMPAS 
900 |a The study evaluates and compares two procedures for selecting soil quality indicators [used for the construction of soil quality indices, SQI] by using diverse chemical, physical, and biological properties, and evaluates the role of soil microbiological properties in the construction of SQI. Different soil environments were selected from an extensive agricultural production site in the rolling pampa, Buenos Aires, Argentina. The plots included an undisturbed soil, a grassland soil, and continuous tilled soils with four different surface horizon depths [25, 23, 19, and 14cm]. Various properties were measured, and a minimum dataset was chosen by principal component analysis [PCA] considering all measured soil properties together [procedure A], or the PCA was performed separately according to classification as physical, chemical, or biological soil properties [procedure B]. The measured soil properties involved physical, chemical, and biochemical properties determined by standard protocols used in routine laboratory analysis [simple SQI, SSQI] or more laborious protocols to determine microbial community structure and function by phospholipid fatty acid [PLFA] and catabolic response profile [CRP], respectively [complex SQI, CSQI]. The selected properties were linearly normalised and integrated by the weight additive method to calculate SSQI A, SSQI B, CSQI A, and CSQI B indices. Two microbiological SQI [MSQI] were also calculated; MSQI 1 considered only biological properties according to the procedure used for calculating SQI; MSQI 2 was calculated by considering three selected microbiological parameters representing the size [microbial biomass carbon], activity [soil basal respiration], and functional diversity [evenness, determined by CRP] of the microbial communities. All of the constructed indices show the same differences among the study sites. The inclusion of CRP and PLFA data in the indices slightly increased, or did not increase, the index sensitivity. Microbiological indices had the same sensitivity as the indices integrated by physical, chemical, and biological properties. An evaluation of the SQI constructed by both procedures found no difference in sensitivity. However, SQI constructed by procedure B allowed evaluation of the effects of management practices on physical, chemical, and biological soil properties. 
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