Modelling N mineralisation from sludge-amended soils across agro-ecological zones: A case study from South Africa

Z.M. Ogbazghi, E.H. Tesfamariam and J.G. Annandale

Ecological Modelling, 2016, vol. 322, issue C, 19-30

Abstract: The expected rate of nitrogen (N) mineralisation is key to sludge recommendation rates for agricultural lands. The presence of a combination of factors (biotic and abiotic) that contribute to the variation in N release at different sites is the main obstacle to sludge application rate recommendations. Nonetheless, the use of a single annual N mineralisation rate across sites and agro-ecological zones is a common practice around the world. The aim of this study was to investigate whether a single annual N release rate could be used for sludge recommendation across sites within an agro-ecological zone. To achieve the stated aim, the following hypotheses were tested using the SWB-Sci computer model: Under dryland cropping, cumulative annual N mineralisation from sludge-amended soils (1) will remain unchanged across agro-ecological zones and between sites within an agro-ecological zone, (2) will not vary between and within seasons at a specific site and (3) will not vary across soil textures within a site. Model simulations showed that annual N mineralisation rates varied significantly (P>0.05) across agro-ecological zones, ranging from 61kgha−1 in arid to 103.6kgha−1 in super-humid zones. Similarly, annual N mineralisation rates varied significantly between sites within an agro-ecological zone (98.6kgha−1 in Durban vs. 81.4kgha−1 in Cape Town in the humid zone). Annual N mineralisation rates did not differ significantly (P<0.05) between seasons within a site, but varied significantly within a season in the humid and super-humid agro-ecological zones. Nitrogen mineralisation varied significantly between soil textures, ranging from 97.8kgha−1 (clay soil) to 106.3kgha−1 (clay loam) in the super-humid agro-ecological zone. Therefore, sludge recommendation rates for use in agricultural lands should be site specific and soil specific for sustainable ecosystem services and functions. Further model validation on N mineralisation using field data is recommended.

Keywords: N-mineralisation; Sewage sludge; Modelling; Agro-ecological zones; Soil textures; SWB-Sci (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:322:y:2016:i:c:p:19-30

DOI: 10.1016/j.ecolmodel.2015.11.019

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