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<article language="en">
	<journal>
		<journal_title>Biogeosciences</journal_title>
		<journal_url>www.biogeosciences.net</journal_url>
		<issn>1726-4170</issn>
		<eissn>1726-4189</eissn>
		<volume_number>2</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2005</publication_year>
	</journal>
	<doi>10.5194/bg-2-113-2005</doi>
	<article_url>http://www.biogeosciences.net/2/113/2005/</article_url>
	<abstract_html>http://www.biogeosciences.net/2/113/2005/bg-2-113-2005.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences.net/2/113/2005/bg-2-113-2005.pdf</fulltext_pdf>
	<start_page>113</start_page>
	<end_page>123</end_page>
	<publication_date>2005-05-27</publication_date>
	<article_title content_type="html">Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model</article_title>
	<authors>
		<author numeration="1" affiliations="1,4">
			<name>H. Pathak</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>C. Li</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>R. Wassmann</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Unit of Simulation and Informatics, Indian Agricultural Research Institute, New Delhi, India</affiliation>
		<affiliation numeration="2" content_type="html">Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, New Hampshire, USA</affiliation>
		<affiliation numeration="3" content_type="html">Institute for Meteorology and Climate Research (IMK-IFU), Forschungszentrum Karlsruhe, Garmisch-Partenkirchen, Germany</affiliation>
		<affiliation numeration="4" content_type="html">currently at IMK-IFU, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">The Denitrification and Decomposition (DNDC) model was
evaluated for its ability to simulate methane (CH&lt;sub&gt;4&lt;/sub&gt;), nitrous oxide
(N&lt;sub&gt;2&lt;/sub&gt;O) and carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;) emissions from Indian rice fields
with various management practices. The model was calibrated and validated
for field experiments in New Delhi, India. The observed yield, N uptake and
greenhouse gas (GHG) emissions were in good agreement with the values
predicted by the model. The model was then applied for estimation of GHG
emissions from rice fields in India using a newly compiled soil/climate/land
use database. Continuous flooding of rice fields (42.25 million ha) resulted
in annual net emissions of 1.07-1.10, 0.04-0.05 and 21.16-60.96 Tg of
CH&lt;sub&gt;4&lt;/sub&gt;-C, N&lt;sub&gt;2&lt;/sub&gt;O-N and CO&lt;sub&gt;2&lt;/sub&gt;-C, respectively, with a cumulated global
warming potential (GWP) of 130.93-272.83 Tg CO&lt;sub&gt;2&lt;/sub&gt; equivalent.
Intermittent flooding of rice fields reduced annual net emissions to
0.12-0.13 Tg CH&lt;sub&gt;4&lt;/sub&gt;-C and 16.66-48.80 Tg CO&lt;sub&gt;2&lt;/sub&gt;-C while 
N&lt;sub&gt;2&lt;/sub&gt;O
emission increased to 0.05-0.06 Tg N&lt;sub&gt;2&lt;/sub&gt;O-N. The GWP, however, reduced to
91.73-211.80 Tg CO&lt;sub&gt;2&lt;/sub&gt; equivalent. The study suggested that the model
could be applied for estimating the GHG emissions and the influences of
agronomic management, soil and climatic parameters on the GHG emissions from
rice fields in India.</abstract>
	<references>
	</references>
</article>

