Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise
The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-param...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Renzi, Gianluca [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Umfang: |
6 |
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| Übergeordnetes Werk: |
Enthalten in: Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, - Marine, Combe ELSEVIER, 2021, an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:149 ; year:2017 ; pages:294-299 ; extent:6 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.catena.2016.10.002 |
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ELV025292358 |
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| 520 | |a The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. | ||
| 520 | |a The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. | ||
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10.1016/j.catena.2016.10.002 doi GBV00000000000143A.pica (DE-627)ELV025292358 (ELSEVIER)S0341-8162(16)30397-6 DE-627 ger DE-627 rakwb eng 910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Renzi, Gianluca verfasserin aut Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise 2017transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. Canfora, Loredana oth Salvati, Luca oth Benedetti, Anna oth Enthalten in Elsevier Marine, Combe ELSEVIER Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, 2021 an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution New York, NY [u.a.] (DE-627)ELV006991912 volume:149 year:2017 pages:294-299 extent:6 https://doi.org/10.1016/j.catena.2016.10.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 149 2017 294-299 6 045F 910 |
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10.1016/j.catena.2016.10.002 doi GBV00000000000143A.pica (DE-627)ELV025292358 (ELSEVIER)S0341-8162(16)30397-6 DE-627 ger DE-627 rakwb eng 910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Renzi, Gianluca verfasserin aut Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise 2017transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. Canfora, Loredana oth Salvati, Luca oth Benedetti, Anna oth Enthalten in Elsevier Marine, Combe ELSEVIER Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, 2021 an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution New York, NY [u.a.] (DE-627)ELV006991912 volume:149 year:2017 pages:294-299 extent:6 https://doi.org/10.1016/j.catena.2016.10.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 149 2017 294-299 6 045F 910 |
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10.1016/j.catena.2016.10.002 doi GBV00000000000143A.pica (DE-627)ELV025292358 (ELSEVIER)S0341-8162(16)30397-6 DE-627 ger DE-627 rakwb eng 910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Renzi, Gianluca verfasserin aut Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise 2017transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. Canfora, Loredana oth Salvati, Luca oth Benedetti, Anna oth Enthalten in Elsevier Marine, Combe ELSEVIER Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, 2021 an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution New York, NY [u.a.] (DE-627)ELV006991912 volume:149 year:2017 pages:294-299 extent:6 https://doi.org/10.1016/j.catena.2016.10.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 149 2017 294-299 6 045F 910 |
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10.1016/j.catena.2016.10.002 doi GBV00000000000143A.pica (DE-627)ELV025292358 (ELSEVIER)S0341-8162(16)30397-6 DE-627 ger DE-627 rakwb eng 910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Renzi, Gianluca verfasserin aut Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise 2017transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. Canfora, Loredana oth Salvati, Luca oth Benedetti, Anna oth Enthalten in Elsevier Marine, Combe ELSEVIER Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, 2021 an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution New York, NY [u.a.] (DE-627)ELV006991912 volume:149 year:2017 pages:294-299 extent:6 https://doi.org/10.1016/j.catena.2016.10.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 149 2017 294-299 6 045F 910 |
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10.1016/j.catena.2016.10.002 doi GBV00000000000143A.pica (DE-627)ELV025292358 (ELSEVIER)S0341-8162(16)30397-6 DE-627 ger DE-627 rakwb eng 910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Renzi, Gianluca verfasserin aut Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise 2017transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. Canfora, Loredana oth Salvati, Luca oth Benedetti, Anna oth Enthalten in Elsevier Marine, Combe ELSEVIER Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, 2021 an interdisciplinary journal of soil science, hydrology, geomorphology focusing on geoecology and landscape evolution New York, NY [u.a.] (DE-627)ELV006991912 volume:149 year:2017 pages:294-299 extent:6 https://doi.org/10.1016/j.catena.2016.10.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 149 2017 294-299 6 045F 910 |
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910 550 910 DE-600 550 DE-600 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise |
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Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, |
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Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, |
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Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise |
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Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise |
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Renzi, Gianluca |
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Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, |
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Towards unravelling the Rosette agent enigma: Spread and emergence of the co-invasive host-pathogen complex, |
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10.1016/j.catena.2016.10.002 |
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validation of the soil biological fertility index (bfi) using a multidimensional statistical approach: a country-scale exercise |
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Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise |
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The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. |
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The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. |
| abstract_unstemmed |
The soil Biological Fertility Index (BFI) is an indicator system recently proposed to monitoring soil fertility in Italy by composing 6 biological variables derived from field sampling and standard laboratory analysis. Large-scale validation of the BFI is still lacking. By using parametric/non-parametric correlations and multivariate statistical analysis, this study compares the statistical distribution of the BFI over 1079 soil samples representative of various environmental contexts in Italy with 8 alternative indicators formulated according to different aggregation rules and weighting techniques of the 6 variables composing the BFI. Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils. |
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Validation of the soil Biological Fertility Index (BFI) using a multidimensional statistical approach: A country-scale exercise |
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Canfora, Loredana Salvati, Luca Benedetti, Anna |
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