Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale
- DOI
- 10.1016/j.geoderma.2014.01.005
- Published
- 2014-07
- Container
- Geoderma
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.geoderma.2014.01.005,
title = {Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale},
author = {M.P. Martin and T.G. Orton and E. Lacarce and J. Meersmans and N.P.A. Saby and J.B. Paroissien and C. Jolivet and L. Boulonne and D. Arrouays},
year = {2014},
journal = {Geoderma},
doi = {10.1016/j.geoderma.2014.01.005},
url = {https://doi.org/10.1016/j.geoderma.2014.01.005}
}RIS
TY - JOUR TI - Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale AU - M.P. Martin AU - T.G. Orton AU - E. Lacarce AU - J. Meersmans AU - N.P.A. Saby AU - J.B. Paroissien AU - C. Jolivet AU - L. Boulonne AU - D. Arrouays PY - 2014 JO - Geoderma DO - 10.1016/j.geoderma.2014.01.005 UR - https://doi.org/10.1016/j.geoderma.2014.01.005 ER -
APA
Martin, M., Orton, T., Lacarce, E., Meersmans, J., Saby, N., Paroissien, J., Jolivet, C., Boulonne, L., & Arrouays, D. (2014). Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale. Geoderma. https://doi.org/10.1016/j.geoderma.2014.01.005
Source records
- crossref · retrieved 2026-09-25T03:12:41.458Z