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      Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China

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          Abstract

          The Sanjiang Plain (SJP), one of the major rice producing regions in China, is an important source of methane (CH 4) emissions. However, there have been large uncertainties in the estimates of CH 4 emissions from this area during the past few years. In this study, we estimated CH 4 emissions using a process-based model derived by rice area, CH 4 flux, land surface temperature (LST), and the ratio of precipitation (P) and evapotranspiration (ET) in rice paddies in the SJP during the rice growing seasons in 2000, 2006, and 2010, respectively. The results showed that the total area of rice fields was 1.64 million ha in 2010, which was approximately 35 and 13% higher than in 2000 and 2006, respectively. The average LST was 22.1°C in 2000 which was higher than in 2006 (21.6°C) and 2010 (21.5°C). Monthly ET and P displayed similar seasonal and annual variability. The monthly ET was 61.7, 66.5, and 63.0 mm month -1 and P was 85.1, 80.6 and 85.9 mm month -1 during the rice growing seasons in 2000, 2006, and 2010, respectively. The averaged CH 4 flux rates were 24.83, 24.63, and 24.59 ton km -2, and the estimated mean annual CH 4 emissions from rice paddies were 0.30, 0.36, and 0. 40 Tg yr -1 in 2000, 2006, and 2010, respectively. The CH 4 emissions displayed obvious spatial variations that decreased from east to west in the SJP, and were mainly affected by temperature. The results will improve our understanding of the inter-annual and spatial variations of CH 4 emissions and provide a more accurate regional budget of CH 4 emissions from rice paddies in the Sanjiang Plain.

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          Production, oxidation, emission and consumption of methane by soils: A review

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            A 3-year field measurement of methane and nitrous oxide emissions from rice paddies in China: Effects of water regime, crop residue, and fertilizer application

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 June 2017
                2017
                : 12
                : 6
                : e0176765
                Affiliations
                [1 ]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
                [2 ]College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
                [3 ]Joint Center for Global Change Studies, Beijing Normal University, Beijing, China
                [4 ]Key Laboratory of Geographical Information Science (Ministry of Education), East China Normal University, Shanghai, China
                [5 ]School of Geographic Sciences, East China Normal University, Shanghai, China
                [6 ]State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, Jiangsu, China
                [7 ]School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
                Montana State University Bozeman, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: XL JM WY XC.

                • Formal analysis: MS.

                • Resources: YZ.

                • Writing – original draft: MS.

                Article
                PONE-D-16-47003
                10.1371/journal.pone.0176765
                5460792
                28586357
                30f7e124-2136-495c-865d-40b9e21c7414
                © 2017 Sun et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 November 2016
                : 17 April 2017
                Page count
                Figures: 8, Tables: 3, Pages: 16
                Funding
                Funded by: Project Supported by State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University
                This research was partially supported by the Project Supported by State Key Laboratory of Earth Surface Processes and Resource Ecology.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Plants
                Grasses
                Rice
                Research and Analysis Methods
                Experimental Organism Systems
                Plant and Algal Models
                Rice
                Earth Sciences
                Seasons
                Engineering and Technology
                Remote Sensing
                Physical Sciences
                Chemistry
                Chemical Compounds
                Methane
                People and Places
                Geographical Locations
                Asia
                China
                Earth Sciences
                Atmospheric Science
                Meteorology
                Rain
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Cereal Crops
                Computer and Information Sciences
                Information Technology
                Data Processing
                Custom metadata
                Temperature and ET data was obtained from MODIS,the rice planting area in the SJP was determined using vector data provided by Zhang and Wang et al. Precipitation data was derived from the Goddard Earth Science Data and Information Services Center measured by the tropical rainfall measuring mission (TRMM) satellite. Additional information on accessing these data may be found within the Supporting Information files.

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                Uncategorized

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