caa a22 4500 445864311 CHVBK 20180317145453.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s11119-009-9156-7 doi (NATIONALLICENCE)springer-10.1007/s11119-009-9156-7 Comparing temperature correction models for soil electrical conductivity measurement [Elektronische Daten] [Ruijun Ma, Alex McBratney, Brett Whelan, Budiman Minasny, Michael Short] There are various factors that affect soil electrical conductivity (EC) measurements, including soil texture, soil water content, cation exchange capacity (CEC) and others. Temperature is an important environmental variable, and different models can be used to correct for its effect on EC measurements and standardize the measurements to 25°C. It is relevant to analyze these models and to determine whether they are consistent with each other. Some models were wrongly cited. We found that the exponential model of Sheets and Hendrickx as corrected by Corwin and Lesch in 2005 performs the best. The ratio model also performs well between 3°C and 47°C. Springer Science+Business Media, LLC, 2010 Soil electrical conductivity (EC) nationallicence Temperature nationallicence Models nationallicence Ma Ruijun College of Engineering, Key Laboratory of Key Technology on Agricultural Machine and Equipment, South China Agricultural University, Ministry of Education, 510642, Guangzhou, China aut McBratney Alex Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut Whelan Brett Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut Minasny Budiman Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut Short Michael Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 55-66 1385-2256 12:1<55 2011 12 11119 https://doi.org/10.1007/s11119-009-9156-7 text/html Onlinezugriff via DOI 1 review-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-009-9156-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ma Ruijun College of Engineering, Key Laboratory of Key Technology on Agricultural Machine and Equipment, South China Agricultural University, Ministry of Education, 510642, Guangzhou, China aut NATIONALLICENCE 700 1- McBratney Alex Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Whelan Brett Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Minasny Budiman Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Short Michael Australian Centre for Precision Agriculture, Faculty of Agriculture, Food and Natural Resources, The University of Sydney, 2006, Sydney, NSW, Australia aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/1(2011-02-01), 55-66 1385-2256 12:1<55 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer