Characterizing spatiotemporal dynamics of methane emissions from rice paddies in Northeast China from 1990 to 2010.
Identifieur interne : 000357 ( Ncbi/Merge ); précédent : 000356; suivant : 000358Characterizing spatiotemporal dynamics of methane emissions from rice paddies in Northeast China from 1990 to 2010.
Auteurs : Yuan Zhang [République populaire de Chine] ; Shiliang Su ; Feng Zhang ; Runhe Shi ; Wei GaoSource :
- PloS one [ 1932-6203 ] ; 2012.
Descripteurs français
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Methane.
- geographic : China.
- chemistry : Oryza.
- metabolism : Oryza.
- Agriculture, Denitrification, Greenhouse Effect, Reproducibility of Results, Rivers, Time Factors.
Abstract
Rice paddies have been identified as major methane (CH(4)) source induced by human activities. As a major rice production region in Northern China, the rice paddies in the Three-Rivers Plain (TRP) have experienced large changes in spatial distribution over the recent 20 years (from 1990 to 2010). Consequently, accurate estimation and characterization of spatiotemporal patterns of CH₄ emissions from rice paddies has become an pressing issue for assessing the environmental impacts of agroecosystems, and further making GHG mitigation strategies at regional or global levels.
DOI: 10.1371/journal.pone.0029156
PubMed: 22235268
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pubmed:22235268Le document en format XML
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<author><name sortKey="Zhang, Yuan" sort="Zhang, Yuan" uniqKey="Zhang Y" first="Yuan" last="Zhang">Yuan Zhang</name>
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<term>Oryza (metabolism)</term>
<term>Reproducibility of Results</term>
<term>Rivers</term>
<term>Time Factors</term>
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<front><div type="abstract" xml:lang="en">Rice paddies have been identified as major methane (CH(4)) source induced by human activities. As a major rice production region in Northern China, the rice paddies in the Three-Rivers Plain (TRP) have experienced large changes in spatial distribution over the recent 20 years (from 1990 to 2010). Consequently, accurate estimation and characterization of spatiotemporal patterns of CH₄ emissions from rice paddies has become an pressing issue for assessing the environmental impacts of agroecosystems, and further making GHG mitigation strategies at regional or global levels.</div>
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<ArticleTitle>Characterizing spatiotemporal dynamics of methane emissions from rice paddies in Northeast China from 1990 to 2010.</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Rice paddies have been identified as major methane (CH(4)) source induced by human activities. As a major rice production region in Northern China, the rice paddies in the Three-Rivers Plain (TRP) have experienced large changes in spatial distribution over the recent 20 years (from 1990 to 2010). Consequently, accurate estimation and characterization of spatiotemporal patterns of CH₄ emissions from rice paddies has become an pressing issue for assessing the environmental impacts of agroecosystems, and further making GHG mitigation strategies at regional or global levels.</AbstractText>
<AbstractText Label="METHODOLOGY/PRINCIPAL FINDINGS" NlmCategory="RESULTS">Integrating remote sensing mapping with a process-based biogeochemistry model, Denitrification and Decomposition (DNDC), was utilized to quantify the regional CH(4) emissions from the entire rice paddies in study region. Based on site validation and sensitivity tests, geographic information system (GIS) databases with the spatially differentiated input information were constructed to drive DNDC upscaling for its regional simulations. Results showed that (1) The large change in total methane emission that occurred in 2000 and 2010 compared to 1990 is distributed to the explosive growth in amounts of rice planted; (2) the spatial variations in CH₄ fluxes in this study are mainly attributed to the most sensitive factor soil properties, i.e., soil clay fraction and soil organic carbon (SOC) content, and (3) the warming climate could enhance CH₄ emission in the cool paddies.</AbstractText>
<AbstractText Label="CONCLUSIONS/SIGNIFICANCE" NlmCategory="CONCLUSIONS">The study concluded that the introduction of remote sensing analysis into the DNDC upscaling has a great capability in timely quantifying the methane emissions from cool paddies with fast land use and cover changes. And also, it confirmed that the northern wetland agroecosystems made great contributions to global greenhouse gas inventory.</AbstractText>
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<AffiliationInfo><Affiliation>Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, China. yuan.zhang75@gmail.com</Affiliation>
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<CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Environ Manage. 2007 Nov;85(3):680-9</RefSource>
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<CommentsCorrections RefType="Cites"><RefSource>J Environ Qual. 2006 Jul-Aug;35(4):1554-65</RefSource>
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<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
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