Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia
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Black Vertosols of subtropical Australia emit large amounts of nitrous oxide (N2O) to the atmosphere under fertilizer-applied grain cropping compared to other Australian cropping soils. N2O emissions can be mitigated by either reducing fertilizer N inputs or altering crop rotation systems. In this study, the WNMM agroecosystem model was used to investigate the responses of N2O emissions from four different crop rotation systems including canola-wheat-barley (T1CaWB), chickpea-wheat-barley (T3CpWB), chickpea-wheat-chickpea (T4CpWCp), and chickpea-Sorghum (T5CpS) under projected future climate change scenarios on a black Vertosol at Tamworth, New South Wales, Australia. In simulations of the twenty-first century under four different scenarios for atmospheric greenhouse gas concentrations, the annual N2O emissions from the four cropping systems increased with greenhouse gas forcing of the climate. The annual N2O emissions from T4CpWCp (with no fertilizer N application) were the most sensitive to climate change, with 14.3–61.9% increase compared with historic simulations of 1952–2014. The simulated T5CpS treatment (with a long fallow) kept the gross margin-scaled N2O emissions below 1 g N per Australian dollar under all climate change scenarios. This suggests that the inclusion of a long fallow in a crop rotation system can slow down the pace of increasing gross margin-scaled N2O emissions in response to climate change. Our simulation results also imply that legume rotations as mitigation options on N2O emissions may not be resilient to the future changing climate even though they can greatly reduce N2O emissions under the current climate.
KeywordsSoil Organic Carbon Soil Organic Carbon Stock Denitrification Potential Future Climate Change Scenario Crop Rotation System
This research was financially supported by the NSW Department of Primary Industries.
- Arnold JG, Kiniry JR, Srinivasan R, Williams JR, Haney EB, Neitsch SL (2012) Soil & Water Assessment Tool Input/Output Documentation Version 12. Texas Water Resources Institute, TR-439, 654 pGoogle Scholar
- Bijay-Singh, Ryden JC, Whitchead DC (1988) Some relationships between denitrification potential and fractions of organic carbon in air-dried and field-moist soils. Soil Biol Biochem 20:737–741Google Scholar
- DCC (Department of Climate Change) (2010) National Inventory Report 2008—volume 1. The Australian Government Submission to the UN Framework Convention on Climate Change May 2010. Department of Climate Change, Canberra 297 pGoogle Scholar
- Firestone M, Davidson E (1989) Microbial basis of NO and N2O production and consumption. In: Andreae MO, Schimel DS (eds) Exchange of trace gases between ecosystems and the atmosphere. John Wiley, Chichester, pp 7–21Google Scholar
- IPCC (2013) Climate change 2013: the physical science basis. Contribution of working group I. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 996Google Scholar
- Isbell RF (2002) The Australian Soil Classification, Revised edn. CSIRO Publishing, MelbourneGoogle Scholar
- Schwenke GD, Herridge DF, McMullen KG, Haigh BM (2014) Legumes in crop rotations reduce soil nitrous oxide emissions compared with fertilized non-legume rotations. In: Heng LK, Sakadevan K, Dercon G, Nguyen ML (eds) 2012 Proceedings—international symposium on managing soils for food security and climate change adaptation and mitigation, Vienna, Austria. FAO, Rome, pp 235–241Google Scholar