Literature DB >> 23036495

Comparison of APSIM and DNDC simulations of nitrogen transformations and N2O emissions.

I Vogeler1, D Giltrap, R Cichota.   

Abstract

Various models have been developed to better understand nitrogen (N) cycling in soils, which is governed by a complex interaction of physical, chemical and biological factors. Two process-based models, the Agricultural Production Systems sIMulator (APSIM) and DeNitrification DeComposition (DNDC), were used to simulate nitrification, denitrification and nitrous oxide (N2O) emissions from soils following N input from either fertiliser or excreta deposition. The effect of environmental conditions on N transformations as simulated by the two different models was compared. Temperature had a larger effect in APSIM on nitrification, whereas in DNDC, water content produced a larger response. In contrast, simulated denitrification showed a larger response to temperature and also organic carbon content in DNDC. And while denitrification in DNDC is triggered by rainfall ≥5mm/h, in APSIM, the driving factor is soil water content, with a trigger point at water content at field capacity. The two models also showed different responses to N load, with nearly linearly increasing N2O emission rates with N load simulated by DNDC, and a lower rate by APSIM. Increasing rainfall intensity decreased APSIM-simulated N2O emissions but increased those simulated by DNDC.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  N load; Nitrification and denitrification rates; Rainfall intensity; Urine patches

Year:  2012        PMID: 23036495     DOI: 10.1016/j.scitotenv.2012.09.021

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Ammonium sorption and ammonia inhibition of nitrite-oxidizing bacteria explain contrasting soil N2O production.

Authors:  Rodney T Venterea; Timothy J Clough; Jeffrey A Coulter; Florence Breuillin-Sessoms; Ping Wang; Michael J Sadowsky
Journal:  Sci Rep       Date:  2015-07-16       Impact factor: 4.379

  1 in total

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