Field-based soil-texture estimates could replace laboratory analysis
Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Vos, Cora [verfasserIn] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Umfang: |
5 |
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| Übergeordnetes Werk: |
Enthalten in: Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers - Diahovchenko, Illia ELSEVIER, 2023, an international journal of soil science, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:267 ; year:2016 ; day:1 ; month:04 ; pages:215-219 ; extent:5 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.geoderma.2015.12.022 |
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ELV030093864 |
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| 520 | |a Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. | ||
| 520 | |a Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. | ||
| 700 | 1 | |a Don, Axel |4 oth | |
| 700 | 1 | |a Prietz, Roland |4 oth | |
| 700 | 1 | |a Heidkamp, Arne |4 oth | |
| 700 | 1 | |a Freibauer, Annette |4 oth | |
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10.1016/j.geoderma.2015.12.022 doi GBVA2016021000025.pica (DE-627)ELV030093864 (ELSEVIER)S0016-7061(15)30174-9 DE-627 ger DE-627 rakwb eng 550 910 550 DE-600 910 DE-600 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Vos, Cora verfasserin aut Field-based soil-texture estimates could replace laboratory analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Don, Axel oth Prietz, Roland oth Heidkamp, Arne oth Freibauer, Annette oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:267 year:2016 day:1 month:04 pages:215-219 extent:5 https://doi.org/10.1016/j.geoderma.2015.12.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 267 2016 1 0401 215-219 5 045F 550 |
| spelling |
10.1016/j.geoderma.2015.12.022 doi GBVA2016021000025.pica (DE-627)ELV030093864 (ELSEVIER)S0016-7061(15)30174-9 DE-627 ger DE-627 rakwb eng 550 910 550 DE-600 910 DE-600 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Vos, Cora verfasserin aut Field-based soil-texture estimates could replace laboratory analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Don, Axel oth Prietz, Roland oth Heidkamp, Arne oth Freibauer, Annette oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:267 year:2016 day:1 month:04 pages:215-219 extent:5 https://doi.org/10.1016/j.geoderma.2015.12.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 267 2016 1 0401 215-219 5 045F 550 |
| allfields_unstemmed |
10.1016/j.geoderma.2015.12.022 doi GBVA2016021000025.pica (DE-627)ELV030093864 (ELSEVIER)S0016-7061(15)30174-9 DE-627 ger DE-627 rakwb eng 550 910 550 DE-600 910 DE-600 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Vos, Cora verfasserin aut Field-based soil-texture estimates could replace laboratory analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Don, Axel oth Prietz, Roland oth Heidkamp, Arne oth Freibauer, Annette oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:267 year:2016 day:1 month:04 pages:215-219 extent:5 https://doi.org/10.1016/j.geoderma.2015.12.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 267 2016 1 0401 215-219 5 045F 550 |
| allfieldsGer |
10.1016/j.geoderma.2015.12.022 doi GBVA2016021000025.pica (DE-627)ELV030093864 (ELSEVIER)S0016-7061(15)30174-9 DE-627 ger DE-627 rakwb eng 550 910 550 DE-600 910 DE-600 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Vos, Cora verfasserin aut Field-based soil-texture estimates could replace laboratory analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Don, Axel oth Prietz, Roland oth Heidkamp, Arne oth Freibauer, Annette oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:267 year:2016 day:1 month:04 pages:215-219 extent:5 https://doi.org/10.1016/j.geoderma.2015.12.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 267 2016 1 0401 215-219 5 045F 550 |
| allfieldsSound |
10.1016/j.geoderma.2015.12.022 doi GBVA2016021000025.pica (DE-627)ELV030093864 (ELSEVIER)S0016-7061(15)30174-9 DE-627 ger DE-627 rakwb eng 550 910 550 DE-600 910 DE-600 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Vos, Cora verfasserin aut Field-based soil-texture estimates could replace laboratory analysis 2016transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. Don, Axel oth Prietz, Roland oth Heidkamp, Arne oth Freibauer, Annette oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:267 year:2016 day:1 month:04 pages:215-219 extent:5 https://doi.org/10.1016/j.geoderma.2015.12.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 267 2016 1 0401 215-219 5 045F 550 |
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Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. |
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Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. |
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Texture is one of the most important and most frequently measured parameters in soil science. It is common knowledge among field experienced soil scientists that soil texture can be well estimated in the field manually with so called “texture-by-feel”. However, no systematic evaluation exists that assessed the precision and accuracy of field based texture estimates as compared to the common, but time consuming, standard laboratory methods. In the course of the German Agricultural Soil Inventory, the texture of 3896 soil samples from 728 soil pits was estimated manually in the field and measured in the laboratory using standard sedimentation techniques. The field based estimations of the sand, silt and clay content showed a relative deviation from the measurements of only 3.8, 11.5 and 15.5%, respectively. The absolute uncertainty of field texture was 23, 32 and 17gkg−1 for sand, silt and clay, respectively. A large fraction (57–72%) of deviations between field and laboratory derived texture estimates was due to the laboratory measurement uncertainty, and due to the fact that only texture classes were estimated in the field and not mass fractions. Our findings indicate that for most purposes it is sufficient to estimate the soil texture manually “by feel” instead of conducting expensive particle size analyses in the laboratory. |
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