Multi-site validation of a soil organic matter model for arable fields based on generally available input data

Geoderma ◽  
2011 ◽  
Vol 166 (1) ◽  
pp. 119-134 ◽  
Author(s):  
Uwe Franko ◽  
Hartmut Kolbe ◽  
Enrico Thiel ◽  
Ekkehard Ließ
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Input Data ◽  
Matter Model ◽  
Arable Fields ◽  
Soil Organic Matter Model

AggModel: A soil organic matter model with measurable pools for use in incubation studies

2013 ◽  
Vol 263 ◽  
pp. 1-9 ◽  
Author(s):  
M. Segoli ◽  
S. De Gryze ◽  
F. Dou ◽  
J. Lee ◽  
W.M. Post ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Matter Model ◽  
Soil Organic Matter Model

Application of a Novel Coarse-Grained Soil Organic Matter Model in the Environment

2018 ◽  
Vol 52 (24) ◽  
pp. 14228-14234 ◽  
Author(s):  
Hongru Feng ◽  
Haiyan Zhang ◽  
Huiming Cao ◽  
Yuzhen Sun ◽  
Aiqian Zhang ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Coarse Grained ◽  
Matter Model ◽  
Soil Organic Matter Model ◽  
Coarse Grained Soil

scholarly journals A SIMPLE SOIL ORGANIC-MATTER MODEL FOR BIOMASS DATA ASSIMILATION IN COMMUNITY-LEVEL CARBON CONTRACTS

2008 ◽  
Vol 18 (3) ◽  
pp. 624-636 ◽  
Author(s):  
P. C. S. Traoré ◽  
W. M. Bostick ◽  
J. W. Jones ◽  
J. Koo ◽  
K. Goïta ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Data Assimilation ◽  
Community Level ◽  
Matter Model ◽  
Soil Organic Matter Model

SOMPROF: A vertically explicit soil organic matter model

2011 ◽  
Vol 222 (10) ◽  
pp. 1712-1730 ◽  
Author(s):  
Maarten C. Braakhekke ◽  
Christian Beer ◽  
Marcel R. Hoosbeek ◽  
Markus Reichstein ◽  
Bart Kruijt ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Matter Model ◽  
Soil Organic Matter Model

scholarly journals Effects of changing land use in the Netherlands on net carbon fixation.

1991 ◽  
Vol 39 (4) ◽  
pp. 237-246 ◽  
Author(s):  
J. Wolf ◽  
L.H.J.M. Janssen
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Organic Matter ◽  
The Netherlands ◽  
Input Data ◽  
Carbon Fixation ◽  
Arable Land ◽  
Rate Of Change ◽  
Pool Size ◽  
Average Amount

The changed crop rotation on arable land, the decreasing grassland area and the increase in forest area in the Netherlands resulted in a decrease in C pool size. For the calculation of this C pool a method requiring only three input data (average amount of crop or tree residue rate, soil organic matter decomposition and the humification coefficient) has been applied. However the method can only be applied to situations in equilibrium where all three input data are equal. For a changing land use a new state of equilibrium and rate of change in C pool size can be calculated. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Erosion Induced Heterogeneity of Soil Organic Matter in Catenae from the Baltic Sea Catchment

Soil Systems ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 42 ◽  
Author(s):  
Gerald Jandl ◽  
Christel Baum ◽  
Goswin Heckrath ◽  
Mogens H. Greve ◽  
Arno Kanal ◽  
...  
Keyword(s):  
Organic Matter ◽  
Chemical Composition ◽  
Soil Organic Matter ◽  
Baltic Sea ◽  
The Baltic Sea ◽  
Microbial Decomposition ◽  
Organic C ◽  
C Stocks ◽  
Arable Fields ◽  
The Baltic

Soil organic matter (SOM) is unevenly distributed in arable fields in undulated landscapes, but the chemical composition resulting from their turnover, transport and deposition processes is insufficiently known. Therefore, we aimed at disclosing the molecular-chemical composition of SOM in four different catenae at shoulderslope, backslope and footslope positions in arable fields in the Baltic Sea catchment, Europe. The backslope positions always had the lowest organic C-contents (Corg) (1.6…11.8 g·kg−1) and C-stocks (3.8…8.5 kg·m−2) compared to the shoulderslopes and footslopes (1.7…17.7 g·Corg·kg−1, 5.4…15 kg·Corg·m−2). In the SOM-poor backslope positions, the organic matter was characterized by relatively high proportions of carbohydrates, phenols + lignin monomers, alkylaromatic compounds, N-compounds and amides, indicating intensive microbial decomposition. By contrast, the footslopes had the largest Corg-contents (9.3…16.5 g·kg−1) and C-stocks (8.9…15 kg·m−2) in the catenae and particular enrichments in lipids, lignin dimers, sterols and free fatty acids. These relatively stabile SOM compound classes are interpreted as leftovers from erosive downslope transport and concurrent microbial decomposition, e.g., they are pronounced at backslope positions, followed by restricted microbial decomposition. This heterogeneous SOM distribution calls for an adapted soil management that reduces erosion and places amendments to field areas, such as the shoulderslope and backslope.

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