The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Effect of organic matter application on methane emission from some Japanese paddy fields
Open accessAbstract
Emission rates of CH4 from four Japanese paddy fields were measured throughout the cultivation period in 1988 by using the closed chamber method. Large seasonal variations of the CH4 flux were observed. The emission was closely related to the decrease of the redox potential (Eh) in paddy soils. Drainage and supplementary application of mineral fertilizer substantially reduced the CH4 emission. Emission rates of CH4 differed markedly with the soil types. The highest rate was observed in a paddy field consisting of Peat soil (44.8 g-CH4/m2 during a cultivation period), followed by Gley soil (8.0-27.0). The emission rates in the Andosols were significantly lower (0.6-12.6). Application of rice straw at a rate of 6-9 t/ha to the paddy fields increased the CH4 emission rates 1.8- to 3.5-fold. Application of compost slightly increased the CH4 emission. Annual emission rates of CH4 from individual plots were positively correlated with the contents of readily mineralizable carbon (RMC) in paddy soils collected before flooding, suggesting that RMC is one of the main factors affecting CH4 emission from flooded soils.
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Cites
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Cited by
Three‐dimensional model synthesis of the global methane cycle
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Biochar impacts on soil physical properties and greenhouse gas emissions
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Self-citation
Metadata
- Authors
- Yagi, K., & Minami, K.
- Venue
- Soil Science and Plant Nutrition
- Publisher
- Informa UK Limited
- Published
- 1990-12
- Volume
- 36
- Issue
- 4
- Pages
- 599-610
- ISSN
- 0038-0768 (ISSN-L)
- 1747-0765
- OpenAlex
- W2091542089
- Cited by
- 614
- References
- 23
- FWCI
- 43.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.