Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India
Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using stati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Reza, S. K. [verfasserIn] Baruah, Utpal [verfasserIn] Singh, S. K. [verfasserIn] Srinivasan, R. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Agricultural research - [New Delhi] : Springer India, 2012, 5(2016), 4 vom: 23. Aug., Seite 346-352 |
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| Übergeordnetes Werk: |
volume:5 ; year:2016 ; number:4 ; day:23 ; month:08 ; pages:346-352 |
| Links: |
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| DOI / URN: |
10.1007/s40003-016-0217-7 |
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SPR032601514 |
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| 520 | |a Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. | ||
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10.1007/s40003-016-0217-7 doi (DE-627)SPR032601514 (SPR)s40003-016-0217-7-e DE-627 ger DE-627 rakwb eng 630 640 ASE Reza, S. K. verfasserin aut Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 Baruah, Utpal verfasserin aut Singh, S. K. verfasserin aut Srinivasan, R. verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 4 vom: 23. Aug., Seite 346-352 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:4 day:23 month:08 pages:346-352 https://dx.doi.org/10.1007/s40003-016-0217-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 4 23 08 346-352 |
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10.1007/s40003-016-0217-7 doi (DE-627)SPR032601514 (SPR)s40003-016-0217-7-e DE-627 ger DE-627 rakwb eng 630 640 ASE Reza, S. K. verfasserin aut Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 Baruah, Utpal verfasserin aut Singh, S. K. verfasserin aut Srinivasan, R. verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 4 vom: 23. Aug., Seite 346-352 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:4 day:23 month:08 pages:346-352 https://dx.doi.org/10.1007/s40003-016-0217-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 4 23 08 346-352 |
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10.1007/s40003-016-0217-7 doi (DE-627)SPR032601514 (SPR)s40003-016-0217-7-e DE-627 ger DE-627 rakwb eng 630 640 ASE Reza, S. K. verfasserin aut Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 Baruah, Utpal verfasserin aut Singh, S. K. verfasserin aut Srinivasan, R. verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 4 vom: 23. Aug., Seite 346-352 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:4 day:23 month:08 pages:346-352 https://dx.doi.org/10.1007/s40003-016-0217-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 4 23 08 346-352 |
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10.1007/s40003-016-0217-7 doi (DE-627)SPR032601514 (SPR)s40003-016-0217-7-e DE-627 ger DE-627 rakwb eng 630 640 ASE Reza, S. K. verfasserin aut Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 Baruah, Utpal verfasserin aut Singh, S. K. verfasserin aut Srinivasan, R. verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 4 vom: 23. Aug., Seite 346-352 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:4 day:23 month:08 pages:346-352 https://dx.doi.org/10.1007/s40003-016-0217-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 4 23 08 346-352 |
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10.1007/s40003-016-0217-7 doi (DE-627)SPR032601514 (SPR)s40003-016-0217-7-e DE-627 ger DE-627 rakwb eng 630 640 ASE Reza, S. K. verfasserin aut Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 Baruah, Utpal verfasserin aut Singh, S. K. verfasserin aut Srinivasan, R. verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 4 vom: 23. Aug., Seite 346-352 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:4 day:23 month:08 pages:346-352 https://dx.doi.org/10.1007/s40003-016-0217-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 4 23 08 346-352 |
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Enthalten in Agricultural research 5(2016), 4 vom: 23. Aug., Seite 346-352 volume:5 year:2016 number:4 day:23 month:08 pages:346-352 |
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K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. 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Reza, S. K. |
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Reza, S. K. ddc 630 misc Geostatistics misc Spatial heterogeneity misc Semivariogram misc DTPA-extractable micronutrients Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India |
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630 640 ASE Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India Geostatistics (dpeaa)DE-He213 Spatial heterogeneity (dpeaa)DE-He213 Semivariogram (dpeaa)DE-He213 DTPA-extractable micronutrients (dpeaa)DE-He213 |
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ddc 630 misc Geostatistics misc Spatial heterogeneity misc Semivariogram misc DTPA-extractable micronutrients |
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Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India |
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Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India |
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Reza, S. K. |
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Reza, S. K. Baruah, Utpal Singh, S. K. Srinivasan, R. |
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spatial heterogeneity of soil metal cations in the plains of humid subtropical northeastern india |
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Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India |
| abstract |
Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. |
| abstractGer |
Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. |
| abstract_unstemmed |
Abstract Analysis and interpolation of soil micronutrients are very important for site-specific management. The objective of this study was to determine the spatial distribution of iron (Fe), manganese (Mn), zinc (Zn) and copper (Cu) in the forest covered area of Chirang district, Assam, using statistics and geostatistics. A total of 607 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire study area. The concentration of Fe, Mn, Zn and Cu ranged between 0.10–263.5, 0.50–149.5, 0.01–3.4 and 0.64–14.6 mg/kg, respectively, with mean values of 45.3, 19.6, 0.4 and 5.0 mg/kg, respectively. Analysis of semivariogram indicated that the Fe and Mn were well described with the spherical model, with the distance of spatial dependence being 5.83 and 1.95 km, respectively, while the Zn and Cu were well described with exponential model, with the distance of spatial dependence being 5.24 and 3.95 km, respectively. To define different classes of spatial dependence for the soil variables, the ratio of nugget and sill was used. Cu was strongly spatially dependent, with the nugget/sill being 0.202 in this given region, while Fe, Mn and Zn were moderately spatially dependent, with the nugget/sill being 0.347, 0.299 and 0.426, respectively. With the kriging analysis, the spatial distribution maps of contents of these four micronutrients in the study area were drawn with the ArcGIS software. It was found that the soils with higher content of Fe, Mn and Zn were mainly distributed in the upper area of the northern part of the study area, while the soils with higher content of Cu were mainly distributed in the center, decreasing toward the south, east and west. |
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| container_issue |
4 |
| title_short |
Spatial Heterogeneity of Soil Metal Cations in the Plains of Humid Subtropical Northeastern India |
| url |
https://dx.doi.org/10.1007/s40003-016-0217-7 |
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| author2 |
Baruah, Utpal Singh, S. K. Srinivasan, R. |
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Baruah, Utpal Singh, S. K. Srinivasan, R. |
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| doi_str |
10.1007/s40003-016-0217-7 |
| up_date |
2024-07-03T13:46:17.238Z |
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| score |
7.398122 |