@article{fdi:010064070,
  title = {{Q}ualitative near infrared spectroscopy, a new tool to recognize past vegetation signature in soil organic matter},
  author = {{E}rtlen, {D}. and {S}chwartz, {D}. and {B}runet, {D}idier and {T}rendel, {J}. {M}. and {A}dam, {P}. and {S}chaeffer, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}revious studies ({E}rtlen et al., 2010) have shown that near infrared ({NIR}) spectroscopy of soil organic matter ({SOM}) can be used successfully to discriminate between {SOM} from topsoils under forest vs. grassland following establishment of a referential. {W}e have now extended this referential of topsoils, and the derived model was used to characterize {SUM} within three soil profiles in order to test if vegetation changes throughout these profiles can be detected using {NIR} spectra from buried soil organic matter. {C}omparison between the results from this new proxy based on {NIR} measurements and other historical and pedoanthracological data documenting soil occupation shows no major contradiction in terms of vegetation cover and its evolution with time. {T}hese promising results will need further development in order to provide a new palaeoenvironmental tool that is far less time consuming and easier to handle than other methods like pedoanthracology or soil lipid analysis.},
  keywords = {{S}oil memory ; {V}egetation history ; {O}rganic matter ; {N}ear infrared spectroscopy ; {FRANCE} ; {TCHEQUE} {REPUBLIQUE}},
  booktitle = {},
  journal = {{S}oil {B}iology and {B}iochemistry},
  volume = {82},
  numero = {},
  pages = {127--134},
  ISSN = {0038-0717},
  year = {2015},
  DOI = {10.1016/j.soilbio.2014.12.019},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064070},
}