1. Characterizing spatiotemporal dynamics of methane emissions from rice paddies in Northeast China from 1990 to 2010
- Author
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Feng Zhang, Yuan Zhang, Shiliang Su, Wei Gao, and Runhe Shi
- Subjects
Environmental Impacts ,Greenhouse Effect ,Agroecosystem ,Atmospheric Science ,Time Factors ,lcsh:Medicine ,Wetland ,Soil Chemistry ,Social and Behavioral Sciences ,Geoinformatics ,Environmental Geography ,Greenhouse effect ,lcsh:Science ,Climatology ,Multidisciplinary ,geography.geographical_feature_category ,Ecology ,Geography ,Agroforestry ,Ecosystems Agroecology ,food and beverages ,Agriculture ,Chemistry ,Agricultural soil science ,Denitrification ,Methane ,Research Article ,China ,Climate Change ,Soil Science ,Crops ,Biology ,Agricultural Production ,Rivers ,Plant-Environment Interactions ,Environmental Chemistry ,Environmental Systems Modeling ,geography ,Oryza sativa ,business.industry ,Plant Ecology ,Edaphology ,lcsh:R ,Reproducibility of Results ,Oryza ,Crop Management ,Sustainable Agriculture ,Agronomy ,Greenhouse gas ,Computer Science ,Earth Sciences ,Paddy field ,lcsh:Q ,Agronomic Ecology ,business ,Agroecology ,Environmental Sciences ,Ecological Environments - Abstract
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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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.
- Published
- 2012