@article{fdi:010015206,
  title = {{B}ulk densities of {B}razilian {A}mazon soils related to other soil properties},
  author = {{B}ernoux, {M}. and {A}rrouays, {D}. and {C}erri, {C}. and {V}olkoff, {B}oris and {J}olivet, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he results of this study provide the first baseline for predicting {D}b from soil properties for soils across the {A}mazon basin. {B}ulk density values are needed to convert nutrient content and organic carbon ({OC}) content to weight of nutrient and {OC} per unit area ; unfortunately, common field methods to measure {D}b are limited with regard to reliable, complete, and uniform soil data. {M}uch effort has been made in finding alternative solutions to predict {D}b from soil properties. {W}e hypothesized that {D}b could be reliably estimated by multiple regression of {OC}, soil textural properties, and some chemical properties. {U}sing the data of 323 soil horizons from the {B}razilian {A}mazon basin, a stepwise multiple regression ({SMR}) procedure was developed to predict {D}b from other soil properties. {M}ultiple regression relationships were obtained for all the data, which were also partitioned by layer and then by main soil order : latossolos (oxisols, 62 horizons) and podzolicos (alfisols and ultisols, 212 horizons). {T}he {SMR} on all the data showed that clay content is the best predictor of {D}b, accounting for 37% of the variation. {A}dding {OC} content increased the explained variance up to nearly 50%. {P}redictions of the models were improved when the data were partitioned by order and by horizon type. {I}n the case of latossolos (oxisols), the use of {OC} and clay content as predictors increased the percentage of explained variation, reaching 71% using all layers and 79% for {A} horizons. {T}he results of this study will provide a basis for estimating {OC} stocks in the {A}mazon basin. ({R}{\'e}sum{\'e} d'auteur)},
  keywords = {{SOL} ; {CARACTERISTIQUE} {PHYSIQUE} ; {DENSITE} {APPARENTE} ; {BANQUE} {DE} {DONNEES} ; {ANALYSE} {DE} {DONNEES} ; {HORIZON} ; {TYPOLOGIE} ; {CARBONE} {ORGANIQUE} ; {GRANULOMETRIE} ; {ANALYSE} {DE} {REGRESSION} ; {ARGILE} ; {BRESIL} ; {AMAZONIE}},
  booktitle = {},
  journal = {{S}oil {S}cience {S}ociety of {A}merica {J}ournal},
  volume = {62},
  numero = {3},
  pages = {743--749},
  ISSN = {0361-5995},
  year = {1998},
  URL = {https://www.documentation.ird.fr/hor/fdi:010015206},
}