Determination of total carbon and nitrogen content in a range of tropical soils using near infrared spectroscopy: influence of replication and sample grinding and drying

被引:67
作者
Barthes, Bernard G. [1 ]
Brunet, Didier [1 ]
Ferrer, Henri [1 ]
Chotte, Jean-Luc [1 ]
Feller, Christian [1 ]
机构
[1] IRD, UR SeqBio Sequestrat Carbone & Biofonctionnement, F-34394 Montpellier 5, France
关键词
soil; carbon; nitrogen; near infrared (NIR) reflectance spectroscopy; sample preparation; replication;
D O I
10.1255/jnirs.686
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Near infrared (NIR) reflectance spectroscopy has been receiving increased attention for the rapid and inexpensive determination of soil properties and of total carbon (Ct) and nitrogen content (Nt) in particular. However, methodological aspects such as sample grinding and drying or replication have not been addressed extensively. The objectives of the paper were, thus, to assess how NIR predictions of Ct and Nt were affected by sample grinding (2 mm sieving vs. 0.2 mm grinding), drying (air-drying vs oven-drying at 40 degrees C during 24 h) and replication (use of one to six sub-samples to determine average spectra). This was performed on a range of tropical soils that differed widely in mineralogy (low and high activity clay soils, allophanic soils) and texture (sandy to clayey). The accuracy of the NIR predictions of Ct and Nt was higher with oven-dried compared to air-dried samples and, more markedly, with 0.2 mm ground compared to 2 mm sieved samples. Replication had a positive effect on NIR predictions when 2 mm sieved samples were used, especially for air-dried samples, but this effect was not clear with 0.2 mm ground samples. Thus, the most accurate predictions of Ct and Nt were obtained with oven-dried finely ground samples, with limited response to sample replication. Accurate predictions were, however, also obtained with four replicates on oven-dried 2 mm sieved samples. Acceptable and less tedious results could, thus, be achieved when replacing fine grinding by replication. Even with this procedure, the r(2) between predicted (NIR) and measured (reference) values was 0.9 and the ratio of standard error of prediction to mean (CV%) was 20% which can be considered satisfactory for the heterogeneous sample set under study.
引用
收藏
页码:341 / 348
页数:8
相关论文
共 32 条
[1]   RELATING ORGANIC-MATTER AND CLAY CONTENT TO MULTISPECTRAL RADIANCE OF SOILS [J].
ALABBAS, AH ;
SWAIN, PH ;
BAUMGARDNER, MF .
SOIL SCIENCE, 1972, 114 (06) :477-485
[2]  
Bertrand D., 2000, SPECTROSCOPIE INFRAR, P351
[3]  
BERTRAND D, 2000, SPECTROSCOPIE INFRAR, P381
[4]   Development and validation of a near infrared method for the analytical control of a pharmaceutical preparation in three steps of the manufacturing process [J].
Blanco, M ;
Coello, J ;
Iturriaga, H ;
Maspoch, S ;
Pou, N .
FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 2000, 368 (05) :534-539
[5]   Actual litter decomposition rates in salt marshes measured using near-infrared reflectance spectroscopy [J].
Bouchard, V ;
Gillon, D ;
Joffre, R ;
Lefeuvre, JC .
JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY, 2003, 290 (02) :149-163
[6]  
BOWERS S. A., 1965, SOIL SCI, V100, P130, DOI 10.1097/00010694-196508000-00009
[7]   Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana [J].
Brown, DJ ;
Bricklemyer, RS ;
Miller, PR .
GEODERMA, 2005, 129 (3-4) :251-267
[8]   Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties [J].
Chang, CW ;
Laird, DA ;
Mausbach, MJ ;
Hurburgh, CR .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2001, 65 (02) :480-490
[9]   Influence of soil moisture on near-infrared reflectance spectroscopic measurement of soil properties [J].
Chang, GW ;
Laird, DA ;
Hurburgh, GR .
SOIL SCIENCE, 2005, 170 (04) :244-255
[10]  
Collatz L., 1966, NUMERICAL TREATMENT