Predicting soil N mineralization: Relevance of organic matter fractions and soil properties
| Autor: | M.C. Hanegraaf, Ellis Hoffland, Willem H. van Riemsdijk, Gerard H. Ros |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Bodemscheikunde en Chemische Bodemkwaliteit
grassland soils availability Soil Science chemistry.chemical_element Soil science engineering.material Microbiology forest soils Organic matter Water content Nitrogen cycle nitrogen mineralization Bodembiologie chemistry.chemical_classification microbial biomass Soil organic matter carbon temperature Mineralization (soil science) Soil Biology chemical methods PE&RC Nitrogen indexes chemistry Environmental chemistry Soil water engineering Fertilizer Soil Chemistry and Chemical Soil Quality respiration |
| Zdroj: | Soil Biology and Biochemistry 43 (2011) 8 Soil Biology and Biochemistry, 43(8), 1714-1722 |
| ISSN: | 0038-0717 |
| DOI: | 10.1016/j.soilbio.2011.04.017 |
| Popis: | Distinct extractable organic matter (EOM) fractions have been used to assess the capacity of soils to supply nitrogen (N). However, substantial uncertainty exists on their role in the N cycle and their functional dependency on soil properties. We therefore examined the variation in mineralizable N and its relationship with EOM fractions, soil physical and chemical properties across 98 agricultural soils with contrasting inherent properties and management histories. Mineralizable N was determined by aerobic incubation at 20 °C and optimum moisture content for 20 weeks. We used multivariate statistical modelling to account for multi-collinearity, an issue generally overlooked in studies evaluating the predictive value of EOM fractions. Mineralization of N was primarily related to the size of OM pools and fractions present; they explained 78% of the variation in mineralizable N whereas other soil variables could explain maximally 8%. Both total and extractable OM expressed the same soil characteristic from a mineralization perspective; they were positively related to mineralizable N and explained a similar percentage of the variation in mineralizable N. Inclusion of mineralizable N in fertilizer recommendation systems should be based on at least one OM variable. The most appropriate EOM fraction can only be identified when the underlying mechanisms are known; regression techniques are not suitable for this purpose. Combination of single EOM fractions is not likely to improve the prediction of mineralizable N due to high multi-collinearity. Inclusion of texture-related soil variables or variables reflecting soil organic matter quality may be neglected due to their limited power to improve the prediction of mineralizable N. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect