Predicting Total Organic Carbon Content of Soils from Walkley and Black Analysis
Globally, there is problem of computing soil carbon stock because the Walkley–Black method gives only an approximation of soil organic carbon content. Until now, no universal relationship between Walkley–Black carbon (WBC) and total soil organic carbon (TOC) has been developed that could be applicab...
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Veröffentlicht in: | Communications in Soil Science and Plant Analysis 2014-03, Vol.45 (6), p.713-725 |
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creator | Jha, Pramod Biswas, A. K Lakaria, Brij Lal Saha, R Singh, Muneshwar Rao, A. Subba |
description | Globally, there is problem of computing soil carbon stock because the Walkley–Black method gives only an approximation of soil organic carbon content. Until now, no universal relationship between Walkley–Black carbon (WBC) and total soil organic carbon (TOC) has been developed that could be applicable in all kinds of soil. In the present study, relationships between WBC and TOC were established from samples collected from central and northern India. TOC was measured by dry combustion technique and WBC was determined by wet digestion methods. A relationship between WBC and TOC was developed by taking into account silt + clay content (SICL) of soil and mean annual rainfall (MAR) of the region (adj. R ² = 0.99, n = 100). The present study gives an easy approach to measure TOC by easily available data sets (WBC, SICL, and MAR). Using this relationship, computation of soil carbon stock that was done earlier with WBC values could be revisited and improved. |
doi_str_mv | 10.1080/00103624.2013.874023 |
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The present study gives an easy approach to measure TOC by easily available data sets (WBC, SICL, and MAR). Using this relationship, computation of soil carbon stock that was done earlier with WBC values could be revisited and improved.</description><identifier>ISSN: 1532-2416</identifier><identifier>ISSN: 0010-3624</identifier><identifier>EISSN: 1532-2416</identifier><identifier>EISSN: 1532-4133</identifier><identifier>DOI: 10.1080/00103624.2013.874023</identifier><identifier>CODEN: CSOSA2</identifier><language>eng</language><publisher>Philadelphia, PA: Taylor & Francis</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Carbon ; carbon sinks ; Chemical, physicochemical, biochemical and biological properties ; clay fraction ; Climate ; combustion ; data collection ; Fundamental and applied biological sciences. 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K</creatorcontrib><creatorcontrib>Lakaria, Brij Lal</creatorcontrib><creatorcontrib>Saha, R</creatorcontrib><creatorcontrib>Singh, Muneshwar</creatorcontrib><creatorcontrib>Rao, A. Subba</creatorcontrib><title>Predicting Total Organic Carbon Content of Soils from Walkley and Black Analysis</title><title>Communications in Soil Science and Plant Analysis</title><description>Globally, there is problem of computing soil carbon stock because the Walkley–Black method gives only an approximation of soil organic carbon content. Until now, no universal relationship between Walkley–Black carbon (WBC) and total soil organic carbon (TOC) has been developed that could be applicable in all kinds of soil. In the present study, relationships between WBC and TOC were established from samples collected from central and northern India. TOC was measured by dry combustion technique and WBC was determined by wet digestion methods. A relationship between WBC and TOC was developed by taking into account silt + clay content (SICL) of soil and mean annual rainfall (MAR) of the region (adj. R ² = 0.99, n = 100). The present study gives an easy approach to measure TOC by easily available data sets (WBC, SICL, and MAR). Using this relationship, computation of soil carbon stock that was done earlier with WBC values could be revisited and improved.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Carbon</subject><subject>carbon sinks</subject><subject>Chemical, physicochemical, biochemical and biological properties</subject><subject>clay fraction</subject><subject>Climate</subject><subject>combustion</subject><subject>data collection</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Organic matter</subject><subject>Physics, chemistry, biochemistry and biology of agricultural and forest soils</subject><subject>prediction</subject><subject>rain</subject><subject>silt</subject><subject>soil organic carbon</subject><subject>Soil science</subject><subject>Soil sciences</subject><subject>soil texture</subject><subject>Tillage</subject><subject>total soil organic carbon</subject><subject>Walkley-Black carbon</subject><subject>wet digestion method</subject><issn>1532-2416</issn><issn>0010-3624</issn><issn>1532-2416</issn><issn>1532-4133</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU1rXCEUhqW00HTaf1CoUALdzNSj3q9VSIbmAwIJJKFLOderg4mjqd6hzL-vtzcJJZviQhfP-57DIyGfga2Atew7Y8BEzeWKMxCrtpGMizfkACrBl1xC_faf93vyIef7kugaxg_I9XUyg9OjCxt6G0f09CptMDhN15j6GOg6htGEkUZLb6LzmdoUt_Qn-gdv9hTDQE886gd6HNDvs8sfyTuLPptPT_eC3J3-uF2fLy-vzi7Wx5dLLTkfl7yFTvQDAkLNG4HSVoZpbRn2Hdhet5XtWjY0ptdgTMWhsdKa3upWGAMSxIJ8m3sfU_y1M3lUW5e18R6DibusoOLFyd-zIF9fofdxl8q-EwXQyaaWEyVnSqeYczJWPSa3xbRXwNSkWT1rVpNmNWsuscOncswavU0YtMsvWd7KUt-xwh3NnAs2pi3-jskPasS9j-k5JP4z6cvcYDEq3KQSuLspQDV9Zl0GiT8V45iV</recordid><startdate>20140326</startdate><enddate>20140326</enddate><creator>Jha, Pramod</creator><creator>Biswas, A. 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Subba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-28193bda1a16273a4f5e0ccf0ab91fbc85f980d7ebc1ee5217f4febfc83ee1413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Carbon</topic><topic>carbon sinks</topic><topic>Chemical, physicochemical, biochemical and biological properties</topic><topic>clay fraction</topic><topic>Climate</topic><topic>combustion</topic><topic>data collection</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Organic matter</topic><topic>Physics, chemistry, biochemistry and biology of agricultural and forest soils</topic><topic>prediction</topic><topic>rain</topic><topic>silt</topic><topic>soil organic carbon</topic><topic>Soil science</topic><topic>Soil sciences</topic><topic>soil texture</topic><topic>Tillage</topic><topic>total soil organic carbon</topic><topic>Walkley-Black carbon</topic><topic>wet digestion method</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jha, Pramod</creatorcontrib><creatorcontrib>Biswas, A. K</creatorcontrib><creatorcontrib>Lakaria, Brij Lal</creatorcontrib><creatorcontrib>Saha, R</creatorcontrib><creatorcontrib>Singh, Muneshwar</creatorcontrib><creatorcontrib>Rao, A. 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K</au><au>Lakaria, Brij Lal</au><au>Saha, R</au><au>Singh, Muneshwar</au><au>Rao, A. Subba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting Total Organic Carbon Content of Soils from Walkley and Black Analysis</atitle><jtitle>Communications in Soil Science and Plant Analysis</jtitle><date>2014-03-26</date><risdate>2014</risdate><volume>45</volume><issue>6</issue><spage>713</spage><epage>725</epage><pages>713-725</pages><issn>1532-2416</issn><issn>0010-3624</issn><eissn>1532-2416</eissn><eissn>1532-4133</eissn><coden>CSOSA2</coden><abstract>Globally, there is problem of computing soil carbon stock because the Walkley–Black method gives only an approximation of soil organic carbon content. Until now, no universal relationship between Walkley–Black carbon (WBC) and total soil organic carbon (TOC) has been developed that could be applicable in all kinds of soil. In the present study, relationships between WBC and TOC were established from samples collected from central and northern India. TOC was measured by dry combustion technique and WBC was determined by wet digestion methods. A relationship between WBC and TOC was developed by taking into account silt + clay content (SICL) of soil and mean annual rainfall (MAR) of the region (adj. R ² = 0.99, n = 100). The present study gives an easy approach to measure TOC by easily available data sets (WBC, SICL, and MAR). Using this relationship, computation of soil carbon stock that was done earlier with WBC values could be revisited and improved.</abstract><cop>Philadelphia, PA</cop><pub>Taylor & Francis</pub><doi>10.1080/00103624.2013.874023</doi><tpages>13</tpages></addata></record> |
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subjects | Agronomy. Soil science and plant productions Biological and medical sciences Carbon carbon sinks Chemical, physicochemical, biochemical and biological properties clay fraction Climate combustion data collection Fundamental and applied biological sciences. Psychology Organic matter Physics, chemistry, biochemistry and biology of agricultural and forest soils prediction rain silt soil organic carbon Soil science Soil sciences soil texture Tillage total soil organic carbon Walkley-Black carbon wet digestion method |
title | Predicting Total Organic Carbon Content of Soils from Walkley and Black Analysis |
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