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Estimating annual N2O emissions from agricultural soils in temperate climates.
- Source :
- Global Change Biology; Oct2005, Vol. 11 Issue 10, p1701-1711, 11p
- Publication Year :
- 2005
-
Abstract
- The Kyoto protocol requires countries to provide national inventories for a list of greenhouse gases including N<subscript>2</subscript>O. A standard methodology proposed by the Intergovernmental Panel on Climate Change (IPCC) estimates direct N<subscript>2</subscript>O emissions from soils as a constant fraction (1.25%) of the nitrogen input. This approach is insensitive to environmental variability. A more dynamic approach is needed to establish reliable N<subscript>2</subscript>O emission inventories and to propose efficient mitigation strategies. The objective of this paper is to develop a model that allows the spatial and temporal variation in environmental conditions to be taken into account in national inventories of direct N<subscript>2</subscript>O emissions. Observed annual N<subscript>2</subscript>O emission rates are used to establish statistical relationships between N<subscript>2</subscript>O emissions, seasonal climate and nitrogen-fertilization rate. Two empirical models, MCROPS and MGRASS, were developed for croplands and grasslands. Validated with an independent data set, MCROPS shows that spring temperature and summer precipitation explain 35% of the variance in annual N<subscript>2</subscript>O emissions from croplands. In MGRASS, nitrogen-fertilization rate and winter temperature explain 48% of the variance in annual N<subscript>2</subscript>O emissions from grasslands. Using long-term climate observations (1900–2000), the sensitivity of the models with climate variability is estimated by comparing the year-to-year prediction of the model to the precision obtained during the validation process. MCROPS is able to capture interannual variability of N<subscript>2</subscript>O emissions from croplands. However, grassland emissions show very small interannual variations, which are too small to be detectable by MGRASS. MCROPS and MGRASS improve the statistical reliability of direct N<subscript>2</subscript>O emissions compared with the IPCC default methodology. Furthermore, the models can be used to estimate the effects of interannual variation in climate, climate change on direct N<subscript>2</subscript>O emissions from soils at the regional scale. [ABSTRACT FROM AUTHOR]
- Subjects :
- GREENHOUSE gases
NITROGEN dioxide
SOILS
AGRICULTURE
TEMPERATE climate
CLIMATE change
Subjects
Details
- Language :
- English
- ISSN :
- 13541013
- Volume :
- 11
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Global Change Biology
- Publication Type :
- Academic Journal
- Accession number :
- 18473574
- Full Text :
- https://doi.org/10.1111/j.1365-2486.2005.01025.x