Soil apparent electrical conductivity and geographically weighted regression for mapping soil
To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (EC a ),...
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Published in | Precision agriculture Vol. 12; no. 5; pp. 750 - 761 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
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Springer US
01.10.2011
Springer Nature B.V |
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Abstract | To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (EC
a
), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with EC
a
in the soil of the study area. |
---|---|
AbstractList | To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (EC
a
), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with EC
a
in the soil of the study area. To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (EC sub(a)), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with EC sub(a) in the soil of the study area. To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (EC^sub a^), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with EC^sub a^ in the soil of the study area.[PUBLICATION ABSTRACT] |
Author | Terrón, J. M. Marques da Silva, J. R. Moral, F. J. García-Ferrer, Alfonso |
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CitedBy_id | crossref_primary_10_25054_22161325_2740 crossref_primary_10_3390_s22186728 crossref_primary_10_1016_j_compag_2016_07_027 crossref_primary_10_1590_1809_4430_eng_agric_v41n3p396_401_2021 crossref_primary_10_5424_sjar_2015134_8032 crossref_primary_10_1007_s12517_015_1786_7 crossref_primary_10_1007_s11119_017_9556_z crossref_primary_10_5424_sjar_2021193_17600 crossref_primary_10_1007_s12145_022_00768_w crossref_primary_10_2139_ssrn_4065410 crossref_primary_10_1002_arp_1512 crossref_primary_10_2136_sssaj2014_02_0067 crossref_primary_10_1007_s42853_023_00187_9 crossref_primary_10_1016_j_inpa_2021_04_004 crossref_primary_10_5194_soil_1_459_2015 |
Cites_doi | 10.1016/j.compag.2004.11.010 10.1016/S0198-9715(01)00009-6 10.1017/S0021859600021572 10.1097/00010694-193401000-00003 10.2136/sssaj1992.03615995005600040003x 10.1016/j.compag.2004.11.003 10.2136/sssaj2002.1562 10.1016/j.compag.2004.10.005 10.1016/0584-8547(83)80124-4 10.2134/agronj2003.0455 10.1007/s11135-006-9018-6 |
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References | Sudduth, Kitchen, Wiebold, Batchelor, Bollero, Bullock, Clay, Palm, Pierce, Schuler, Thelen (CR16) 2005; 46 Chapman, Black (CR5) 1965 Anderson-Cook, Alley, Roygard, Khosla, Noble, Doolittle (CR1) 2002; 66 (CR11) 2009 CR15 CR13 O’Brien (CR14) 2007; 41 CR10 Corwin, Lesch (CR7) 2003; 95 Walkley, Black (CR18) 1934; 37 Corwin, Lesch (CR9) 2005; 46 Cook, Walker (CR6) 1992; 56 (CR17) 2006 Corwin, Lesch (CR8) 2005; 46 Isaac, Johnson (CR12) 1983; 38B Brunsdon, Fotheringham, Charlton (CR3) 2002; 26 Burrough, McDonnell (CR4) 1998 Bremner (CR2) 1960; 55 9218_CR15 JM Bremner (9218_CR2) 1960; 55 9218_CR13 DL Corwin (9218_CR8) 2005; 46 RM O’Brien (9218_CR14) 2007; 41 USDA–NRCS (9218_CR17) 2006 PG Cook (9218_CR6) 1992; 56 DL Corwin (9218_CR9) 2005; 46 CM Anderson-Cook (9218_CR1) 2002; 66 A Walkley (9218_CR18) 1934; 37 RA Isaac (9218_CR12) 1983; 38B PA Burrough (9218_CR4) 1998 KA Sudduth (9218_CR16) 2005; 46 C Brunsdon (9218_CR3) 2002; 26 HD Chapman (9218_CR5) 1965 DL Corwin (9218_CR7) 2003; 95 9218_CR10 ESRI (9218_CR11) 2009 |
References_xml | – volume: 46 start-page: 263 year: 2005 end-page: 283 ident: CR16 article-title: Relating apparent electrical conductivity to soil properties across the north-central USA publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.11.010 contributor: fullname: Thelen – year: 2006 ident: CR17 publication-title: Keys to soil taxonomy – volume: 26 start-page: 501 year: 2002 end-page: 524 ident: CR3 article-title: Geographically weighted summary statistics: A framework for localized exploratory data analysis publication-title: Computers, Environment and Urban Systems doi: 10.1016/S0198-9715(01)00009-6 contributor: fullname: Charlton – volume: 55 start-page: 11 year: 1960 end-page: 33 ident: CR2 article-title: Determination of nitrogen in soil by Kjeldahl method publication-title: Journal Agriculture Science doi: 10.1017/S0021859600021572 contributor: fullname: Bremner – ident: CR15 – ident: CR13 – volume: 37 start-page: 29 year: 1934 end-page: 38 ident: CR18 article-title: An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method publication-title: Soil Science doi: 10.1097/00010694-193401000-00003 contributor: fullname: Black – ident: CR10 – volume: 56 start-page: 1015 year: 1992 end-page: 1022 ident: CR6 article-title: Depth profiles of electrical conductivity from linear combinations of electromagnetic induction measurements publication-title: Soil Science Society America Journal doi: 10.2136/sssaj1992.03615995005600040003x contributor: fullname: Walker – volume: 46 start-page: 135 year: 2005 end-page: 152 ident: CR9 article-title: Characterizing soil spatial variability with apparent soil electrical conductivity: Part II. Case study publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.11.003 contributor: fullname: Lesch – volume: 66 start-page: 1562 year: 2002 end-page: 1570 ident: CR1 article-title: Differentiating soil types using electromagnetic conductivity and crop yield maps publication-title: Soil Science Society America Journal doi: 10.2136/sssaj2002.1562 contributor: fullname: Doolittle – year: 2009 ident: CR11 publication-title: ARCGIS 9.3.1 geographically weighted regression tool – volume: 46 start-page: 11 year: 2005 end-page: 43 ident: CR8 article-title: Apparent soil electrical conductivity measurements in agriculture publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.10.005 contributor: fullname: Lesch – year: 1998 ident: CR4 publication-title: Principles of geographical information systems contributor: fullname: McDonnell – volume: 38B start-page: 277 year: 1983 end-page: 282 ident: CR12 article-title: High speed analysis of agricultural samples using inductively coupled plasma-atomic emission spectroscopy publication-title: Spectrochemica Acta doi: 10.1016/0584-8547(83)80124-4 contributor: fullname: Johnson – volume: 95 start-page: 455 year: 2003 end-page: 471 ident: CR7 article-title: Application of soil electrical conductivity to precision agriculture: Theory, principles and guidelines publication-title: Agronomy Journal doi: 10.2134/agronj2003.0455 contributor: fullname: Lesch – start-page: 891 year: 1965 end-page: 901 ident: CR5 article-title: Cation-exchange capacity publication-title: Methods of soil analysis, part 2 contributor: fullname: Black – volume: 41 start-page: 673 year: 2007 end-page: 690 ident: CR14 article-title: A caution regarding rules of thumb for variance inflation factors publication-title: Quality and Quantity Journal doi: 10.1007/s11135-006-9018-6 contributor: fullname: O’Brien – volume: 56 start-page: 1015 year: 1992 ident: 9218_CR6 publication-title: Soil Science Society America Journal doi: 10.2136/sssaj1992.03615995005600040003x contributor: fullname: PG Cook – ident: 9218_CR10 – ident: 9218_CR13 – volume: 66 start-page: 1562 year: 2002 ident: 9218_CR1 publication-title: Soil Science Society America Journal doi: 10.2136/sssaj2002.1562 contributor: fullname: CM Anderson-Cook – volume: 41 start-page: 673 year: 2007 ident: 9218_CR14 publication-title: Quality and Quantity Journal doi: 10.1007/s11135-006-9018-6 contributor: fullname: RM O’Brien – volume: 46 start-page: 135 year: 2005 ident: 9218_CR9 publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.11.003 contributor: fullname: DL Corwin – ident: 9218_CR15 – volume: 46 start-page: 263 year: 2005 ident: 9218_CR16 publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.11.010 contributor: fullname: KA Sudduth – volume: 46 start-page: 11 year: 2005 ident: 9218_CR8 publication-title: Computers and Electronics in Agriculture doi: 10.1016/j.compag.2004.10.005 contributor: fullname: DL Corwin – volume-title: ARCGIS 9.3.1 geographically weighted regression tool year: 2009 ident: 9218_CR11 contributor: fullname: ESRI – volume-title: Keys to soil taxonomy year: 2006 ident: 9218_CR17 contributor: fullname: USDA–NRCS – volume-title: Principles of geographical information systems year: 1998 ident: 9218_CR4 contributor: fullname: PA Burrough – volume: 26 start-page: 501 year: 2002 ident: 9218_CR3 publication-title: Computers, Environment and Urban Systems doi: 10.1016/S0198-9715(01)00009-6 contributor: fullname: C Brunsdon – volume: 37 start-page: 29 year: 1934 ident: 9218_CR18 publication-title: Soil Science doi: 10.1097/00010694-193401000-00003 contributor: fullname: A Walkley – start-page: 891 volume-title: Methods of soil analysis, part 2 year: 1965 ident: 9218_CR5 contributor: fullname: HD Chapman – volume: 95 start-page: 455 year: 2003 ident: 9218_CR7 publication-title: Agronomy Journal doi: 10.2134/agronj2003.0455 contributor: fullname: DL Corwin – volume: 55 start-page: 11 year: 1960 ident: 9218_CR2 publication-title: Journal Agriculture Science doi: 10.1017/S0021859600021572 contributor: fullname: JM Bremner – volume: 38B start-page: 277 year: 1983 ident: 9218_CR12 publication-title: Spectrochemica Acta doi: 10.1016/0584-8547(83)80124-4 contributor: fullname: RA Isaac |
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SubjectTerms | Agricultural production Agriculture Analysis Atmospheric Sciences Biomedical and Life Sciences Cation exchange Chemistry and Earth Sciences Computer Science Conductivity Life Sciences Mapping Physics Precipitation Regression analysis Remote Sensing/Photogrammetry Salinity Sensors Soil conductivity Soil management Soil properties Soil Science & Conservation Soils Spatial data Statistics for Engineering Studies |
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