@article{fdi:010052868,
  title = {{D}etermination of potential denitrification in a range of tropical topsoils using near infrared reflectance spectroscopy ({NIRS})},
  author = {{B}arth{\`e}s, {B}ernard and {B}runet, {D}idier and {B}rauman, {A}lain and {F}romin, {N}. and {L}ensi, {R}. and {V}olant, {A}ur{\'e}lie and {L}aclau, {J}.{P}. and {B}lavet, {D}idier and {C}hapuis {L}ardy, {L}ydie},
  editor = {},
  language = {{ENG}},
  abstract = {{M}icrobial denitrification plays a central role in nitrous oxide ({N}2{O})-emitting processes, which are involved in ecosystem services such as crop production and climate regulation. {F}ield characterization of {N}2{O}-emitting processes being time-consuming due to great variability, laboratory determination of potential denitrification (upon incubation) is often used as a valuable test. {N}ear infrared reflectance spectroscopy ({NIRS}) is a time- and cost-effective approach that has been reported to allow accurate determination of several soil properties. {T}he objective of the present study was to assess the interest of {NIRS} for determining potential denitrification over a set of 460 topsoils sampled under crops, tree plantations, savanna or rainforest, originating from {M}adagascar, {C}ongo-{B}razzaville, {B}razil, and {F}rench {G}uiana. {P}rediction of potential denitrification using {NIRS} was satisfying over the total set, especially with {LOCAL} calibration, which builds a model for each sample separately using its spectral neighbours in the calibration subset ({R}-2=0.79 for validation). {F}or the other sets, either textural or geographical, global calibration only was performed, involving for each set a unique prediction model built with all calibration samples. {T}he accuracy of {NIRS} determination depended on the sample set, decreasing in the following order: {M}alagasy clayey set > total set approximate to. {B}razilian sandy loam set > coarse-textured set ({C}ongo-{B}razil) approximate to {G}uianese sandy clay loam set approximate to {C}ongolese sandy set > non-clayey set ({C}ongo-{B}razil-{G}uiana), with cross-validation {R}-2 ranging from 0.88 to 0.44 (external validation was not carried out for small-sized sets). {T}hus {NIRS} prediction was more accurate over the clayey homogeneous set than over the non-clayey heterogeneous set. {A}s a result of global calibration, potential denitrification was expressed as a linear combination of absorbance at every wavelength. {W}avelengths that contributed most to {NIRS} prediction of soil potential denitrification corresponded to wavelengths that literature has assigned to organic nitrogenous compounds, amide-containing ones especially, and to carbonaceous compounds such as cellulose or including {CH}3 or {CH}2 groups. {T}his related to the importance of amides in soil organic nitrogen and microbial biomass, and to the dependence of denitrification on soil organic matter. {I}n short, {NIRS} is a time- and cost-effective approach that proved relevant for determining soil potential denitrification with acceptable accuracy, especially for clayey samples or when {LOCAL} calibration was performed.},
  keywords = {{P}otential denitrification ; {N}ear infrared reflectance spectroscopy ; ({NIRS}) ; {G}lobal calibration ; {LOCAL} calibration ; {BRESIL} ; {CONGO} ; {MADAGASCAR} ; {GUYANE} {FRANCAISE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{A}pplied {S}oil {E}cology},
  volume = {46},
  numero = {1},
  pages = {81--89},
  ISSN = {0929-1393},
  year = {2010},
  DOI = {10.1016/j.apsoil.2010.06.009},
  URL = {https://www.documentation.ird.fr/hor/fdi:010052868},
}