کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5516454 1542580 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Parameterisation of the NCSOIL model to simulate C and N short-term mineralisation of exogenous organic matter in different soils
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش خاک شناسی
پیش نمایش صفحه اول مقاله
Parameterisation of the NCSOIL model to simulate C and N short-term mineralisation of exogenous organic matter in different soils
چکیده انگلیسی


- NCSOIL simulated the mineralisation of C and N for 18 Exogenous Organic Matters (EOM).
- Soil type did not interfere significantly with EOM mineralisation dynamics.
- The NCSOIL parameterisation for EOM was based on biochemical fractions and the C/N ratio.
- Four groups of EOM were classified based on their N availability and potential C storage.

The recycling of exogenous organic matter (EOM) through agriculture is an efficient way to enhance soil organic matter (SOM) and to supply crops with readily available nutrients. It can also cause environmental damage, such as nitrate leaching. Characterisation of EOM to predict the C and N dynamics of mineralisation when applied to cropped soils is essential to improve its use in agriculture. The measurement of C and N mineralisation through soil laboratory incubation of 18 types of EOM and EOM biochemical fractionation were used to parameterise the NCSOIL model to simulate the mineralisation kinetics of C and N. The soil type did not significantly interfere with EOM mineralisation and parameterisation, enabling extrapolation of the parameters for one soil to other soil types. Four groups of EOM were distinguished based on their C and N dynamics: (1) stable compost, (2) more reactive compost and stable manure, (3) manure and (4) very reactive EOM as sludge and litter that should be used as fertiliser. The use of easily accessible indicators, such as IROC (Lashermes et al., 2009) and the measured organic C:N ratio (CNEOM), was appropriate for parameterising groups 1 and 4. Regression relating the optimised resistant pool size and Van Soest fractions and CNEOM was found (R2 of 0.967) to improve the pool sizes for the remaining EOM. Further research is required to improve the parameterisation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Soil Biology and Biochemistry - Volume 104, January 2017, Pages 128-140
نویسندگان
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