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	<journal>
		<journal_title>Biogeosciences Discussions</journal_title>
		<journal_url>www.biogeosciences-discuss.net</journal_url>
		<issn>1810-6277</issn>
		<eissn>1810-6285</eissn>
		<volume_number>5</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/bgd-5-4867-2008</doi>
	<article_url>http://www.biogeosciences-discuss.net/5/4867/2008/</article_url>
	<abstract_html>http://www.biogeosciences-discuss.net/5/4867/2008/bgd-5-4867-2008.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences-discuss.net/5/4867/2008/bgd-5-4867-2008.pdf</fulltext_pdf>
	<start_page>4867</start_page>
	<end_page>4896</end_page>
	<publication_date>2008-12-11</publication_date>
	<article_title content_type="html">Quantifying methane emissions from rice fields in Tai-Lake region, China by coupling detailed soil database with biogeochemical model</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>L. Zhang</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>D. Yu</name>
			<email>dshyu@issas.ac.cn</email>
		</author>
		<author numeration="3" affiliations="1">
			<name>X. Shi</name>
			<email>xzshi@issas.ac.cn</email>
		</author>
		<author numeration="4" affiliations="1">
			<name>L. Zhao</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>W. Ding</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>H. Wang</name>
		</author>
		<author numeration="7" affiliations="2">
			<name>J. Pan</name>
		</author>
		<author numeration="8" affiliations="3">
			<name>C. Li</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China</affiliation>
		<affiliation numeration="2" content_type="html">College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China</affiliation>
		<affiliation numeration="3" content_type="html">Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, NH, USA</affiliation>
	</affiliations>
	<abstract content_type="html">China&apos;s paddy rice accounts for about 22% of the
world&apos;s rice fields, therefore it is crucial to accurately estimate the
CH&lt;sub&gt;4&lt;/sub&gt; emissions at regional scale to gauge their contribution to
global greenhouse gas effect. This paper reports an application of a
biogeochemical model, DeNitrification and DeComposition or DNDC, for
quantifying CH&lt;sub&gt;4&lt;/sub&gt; emissions from rice fields in Tai-Lake region of China
by linking DNDC to a 1:50 000 soil database, which was derived from 1107
paddy soil profiles in the Second National Soil Survey of China in the
1980s–1990s. The modeled results estimate that the 2.34 M ha of paddy rice
fields in Tai-Lake region emitted about CH&lt;sub&gt;4&lt;/sub&gt; of 5.67 Tg C for the period
of 1982–2000, with the average CH&lt;sub&gt;4&lt;/sub&gt; flux ranged from 114 to 138 kg C ha&lt;sup&gt;&amp;minus;1&lt;/sup&gt;y&lt;sup&gt;&amp;minus;1&lt;/sup&gt;.
The highest emission rate (659.24 kg C ha&lt;sup&gt;&amp;minus;1&lt;/sup&gt; y&lt;sup&gt;&amp;minus;1&lt;/sup&gt;) occurred in the subgroup of &quot;gleyed paddy soils&quot;, while the
lowest (90.72 kg C ha&lt;sup&gt;&amp;minus;1&lt;/sup&gt;y&lt;sup&gt;&amp;minus;1&lt;/sup&gt;)  were associated with the subgroup
&quot;degleyed paddy soils&quot;. The subgroup &quot;hydromorphic paddy soils&quot; accounted
for about 52.82% of the total area of paddy soils, the largest of areas
of all the soil subgroups, with the CH&lt;sub&gt;4&lt;/sub&gt; flux rate of 106.47 kg C ha&lt;sup&gt;&amp;minus;1&lt;/sup&gt;y&lt;sup&gt;&amp;minus;1&lt;/sup&gt;.
On a sub-regional basis, the annual average CH&lt;sub&gt;4&lt;/sub&gt;
flux in the Tai-Lake plain soil region and alluvial plain soil region was
higher than that in low mountainous and hilly soil region and polder soil
region. The model simulation was conducted with two databases using polygon
or county as the basic unit. The county-based database contained soil
information coarser than the polygon system built based on the 1:50 000 soil
database. The modeled results with the two databases found similar spatial
patterns CH&lt;sub&gt;4&lt;/sub&gt; emissions in Tai-Lake region. However, discrepancies exist
between the results from the two methods, the relative deviation is
&amp;minus;42.10% for the entire region, and the relative deviation ranged from
&amp;minus;19.53% to 97.30% for most counties, which indicates that the more
precise soil database was necessary to better simulate CH&lt;sub&gt;4&lt;/sub&gt; emissions
from rice fields in Tai-Lake region using the DNDC model.</abstract>
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</article>
