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Biochemical composition and mineralization kinetics of organic inputs in a sandy soil
The carbon mineralization of added organic materials (AOM) in soil was assessed by combining laboratory and modeling approaches. The AOM used in the organic fertilizer industry included: plant residues from agri-food origin, animal wastes, manures, composts, and organic fertilizers. They were fracti...
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Published in: | Soil biology & biochemistry 2002-02, Vol.34 (2), p.239-250 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | The carbon mineralization of added organic materials (AOM) in soil was assessed by combining laboratory and modeling approaches. The AOM used in the organic fertilizer industry included: plant residues from agri-food origin, animal wastes, manures, composts, and organic fertilizers. They were fractionated by sequential analyses of fibers and analyzed for C, N and ash contents. A previous kinetic study permitted to select two predictive models for AOM C mineralization in a sandy soil. These models,
m4 and
m6, were respectively defined by (i) two compartments (labile L and very resistant R) with three parameters:
P
L (proportion of L), and
k
mL
,
k
mR
(kinetic constants of L and R); (ii) three compartments (very labile L′, resistant R′ and stable S), with two parameters:
P′
L and
P
S (proportions of L′ and S) with fixed kinetic constants at 28
°C, 75% WHC. We tested for the best prediction of the above parameters with the analytical data. These predictions were significant for the whole AOM set, but to a lesser degree for the C mineralization of AOM with contrasted characteristics. A Principal Component Analysis (PCA) was used to classify the AOM according to their biochemical contents into two groups: (+) ligneous ones with relatively high C and low N contents (mostly plant-originated AOM), and (−) more nitrogenous ones, poorer in organic C and ligno–cellulosic fibers (mostly animal-originated or partially composted AOM). The classification improved the predictive equations, which use one to three biochemical variables in agreement with the conceptual definition of the parameters.
P′
L,
P
L and
P
S were more accurately estimated than
k
mL
and
k
mR
. For most of the AOM,
m6 gave better simulations than
m4. From
m6 equations, the conceptual compartments L′, R′ (with
P′
R=1−
P′
L−
P
S) and S appeared to correspond to (i) parts of soluble, nitrogenous and hemicellulosic compounds, (ii) cellulose and the remaining fraction of hemicelluloses, (iii) the ligneous fraction, respectively. |
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ISSN: | 0038-0717 1879-3428 |
DOI: | 10.1016/S0038-0717(01)00178-X |