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Methane emission from rice cultivation: Geographic and seasonal distribution of cultivated areas and emissions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The Global Distribution of Methane in the Troposphere
inferredcites →https://doi.org/10.1007/bf00048857openalex-snapshot
The global distribution of methane in the troposphere
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Global distribution of natural freshwater wetlands and rice paddies, their net primary productivity, seasonality and possible methane emissions
inferredcites →https://doi.org/10.1007/bf01636899openalex-snapshot
Sources and sinks of atmospheric methane
inferredcites →https://doi.org/10.1016/0167-8809(91)90026-topenalex-snapshot
Soils and the greenhouse effect
inferredcites →https://doi.org/10.1029/gb001i001p00061openalex-snapshot
Methane emission from natural wetlands: Global distribution, area, and environmental characteristics of sources
inferredcites →https://doi.org/10.1029/gb002i002p00139openalex-snapshot
Methane emission from animals: A Global High‐Resolution Data Base
inferredcites →https://doi.org/10.1029/gb002i004p00299openalex-snapshot
Biogeochemical aspects of atmospheric methane
inferredcites →https://doi.org/10.1029/jc086ic08p07203openalex-snapshot
Sources of atmospheric methane: Measurements in rice paddies and a discussion
inferredcites →https://doi.org/10.1029/jc088ic09p05131openalex-snapshot
Sources, sinks, and seasonal cycles of atmospheric methane
inferredcites →https://doi.org/10.1029/jc088ic15p11022openalex-snapshot
Seasonal variation of methane flux from a California rice paddy
inferredcites →https://doi.org/10.1029/jd091id11p11803openalex-snapshot
Methane emission during a cultivation period from an Italian rice paddy
inferredcites →https://doi.org/10.1029/jd093id08p09341openalex-snapshot
Global climate changes as forecast by Goddard Institute for Space Studies three‐dimensional model
inferredcites →https://doi.org/10.1029/jd094id13p16405openalex-snapshot
A 3‐year continuous record on the influence of daytime, season, and fertilizer treatment on methane emission rates from an Italian rice paddy
inferredcites →https://doi.org/10.1029/jz068i013p03971openalex-snapshot
Gaseous metabolism in lake sediments and paddy soils and the production of atmospheric methane and hydrogen
inferredcites →https://doi.org/10.1080/00380768.1990.10416797openalex-snapshot
Effect of organic matter application on methane emission from some Japanese paddy fields
inferredcites →https://doi.org/10.1080/01431168608948914openalex-snapshot
Global vegetation dynamics: satellite observations over Asia
inferredcites →https://doi.org/10.1080/01431168708948670openalex-snapshot
Rice crop identification and area estimation using remotely-sensed data from Indian cropping patterns
inferredcites →https://doi.org/10.1111/j.2153-3490.1974.tb01952.xopenalex-snapshot
The atmospheric cycle of methane
inferredcites →https://doi.org/10.1126/science.245.4915.286openalex-snapshot
Carbon-14 in Methane Sources and in Atmospheric Methane: The Contribution from Fossil Carbon
inferredcites →https://doi.org/10.1175/1520-0450(1983)022<0474:gvalun>2.0.co;2openalex-snapshot
Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Mechanisms Controlling Methane Emission from Wetland Rice Fields
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Spatial and Temporal Variations of Methane Flux from a Rice Paddy Field
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Rice Agriculture: Emissions
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Deducing Rice Crop Dynamics and Cultural Types of Bangladesh Using Geospatial Techniques
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Methane emission from an indonesian paddy field subjected to several fertilizer treatments
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Methane emission from plots with differences in fertilizer application in thai paddy fields
inferred← citeshttps://doi.org/10.1080/01431161.2015.1110259openalex-snapshot
Mapping of rice-cropping pattern and cultural type using remote-sensing and ancillary data: a case study for South and Southeast Asian countries
inferred← citeshttps://doi.org/10.1080/02693799308901946openalex-snapshot
Global geographical databases for modelling trace gas fluxes
inferred← citeshttps://doi.org/10.1080/10106049509354476openalex-snapshot
Rice paddy inventory in a few provinces of China using AVHRR data
inferred← citeshttps://doi.org/10.1080/10256010108033302openalex-snapshot
The Global Methane Cycle: Isotopes and Mixing Ratios, Sources and Sinks
inferred← citeshttps://doi.org/10.1088/1748-9326/8/1/015010openalex-snapshot
Providing low-budget estimations of carbon sequestration and greenhouse gas emissions in agricultural wetlands
inferred← citeshttps://doi.org/10.1093/ijlct/ctag030openalex-snapshot
Does the integration of digital and real economy reduce agricultural carbon emission intensity? Evidence from China
inferred← citeshttps://doi.org/10.1111/j.1365-2486.1996.tb00082.xopenalex-snapshot
A feasible Global Carbon Cycle Observing System: a plan to decipher today's carbon cycle based on observations
inferred← citeshttps://doi.org/10.1111/j.1468-8123.2008.00227.xopenalex-snapshot
Assessment of methane and nitrous oxide flux from mangroves along Eastern coast of India
inferred← citeshttps://doi.org/10.1126/science.1175176openalex-snapshot
Large-Scale Controls of Methanogenesis Inferred from Methane and Gravity Spaceborne Data
inferred← citeshttps://doi.org/10.1134/s106422932360094xopenalex-snapshot
Methane Emission from Flooded Soils of Rice Paddies in Rostov Oblast
inferred← citeshttps://doi.org/10.1146/annurev.ea.21.050193.002203openalex-snapshot
The Global Methane Cycle
inferred← citeshttps://doi.org/10.1155/2015/125059openalex-snapshot
Preliminary Assessment of Methane Concentration Variation Observed by GOSAT in China
inferred← citeshttps://doi.org/10.1177/030913339501900302openalex-snapshot
Environmental factors affecting global atmospheric methane concentrations
inferred← citeshttps://doi.org/10.1351/pac199466010137openalex-snapshot
Assessment of uncertainties in the projected concentrations of methane in the atmosphere (Technical Report)
inferred← citeshttps://doi.org/10.15666/aeer/0302_001027openalex-snapshot
MICROBIAL ECOLOGY OF ME THANE EMISSION IN RICE AGROECOSYSTEM: A REVIEW
inferred← citeshttps://doi.org/10.15760/etd.2807openalex-snapshot
Investigation of the sources and sinks of atmospheric methane
inferred← citeshttps://doi.org/10.18174/209898openalex-snapshot
Methane : its role in climate change and options for control
inferred← citeshttps://doi.org/10.18402/resci.2023.01.04openalex-snapshot
Impact and its mechanism of urban-rural integration on the efficiency of agricultural carbon emissions in China
inferred← citeshttps://doi.org/10.1890/08-2025.1openalex-snapshot
Sensitivity of the carbon cycle in the Arctic to climate change
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2721407/v1openalex-snapshot
Identifying the Relationship between Environmental Degradation and Economic Growth: A Focus on the Environmental Impacts of Rice Cultivation in the Top Ten Rice-Producing Countries
inferred← citeshttps://doi.org/10.21203/rs.3.rs-552062/v1openalex-snapshot
Methane emission from different rice cultivation systems in Bangladesh: A model based approach
inferred← citeshttps://doi.org/10.2134/asaspecpub55.c11openalex-snapshot
Factors Affecting Methane Production in Flooded Rice Soils
inferred← citeshttps://doi.org/10.2172/768381openalex-snapshot
Contribution to the Development of Supply Curves of Non-CO2 Trace Gases
inferred← citeshttps://doi.org/10.29244/jitl.10.2.54-59openalex-snapshot
INDONESIAN FARMERS CAN CONTRIBUTE IN REDUCING GREENHOUSE GASES EMISSION FROM WETLAND RICE FIELD
inferred← citeshttps://doi.org/10.31857/s0032180x23600051openalex-snapshot
Methane Emissions from Rice Fields of the Rostov Region
inferred← citeshttps://doi.org/10.3389/fenvs.2023.1117086openalex-snapshot
Digitalization, resource misallocation and low-carbon agricultural production: evidence from China
inferred← citeshttps://doi.org/10.3389/fenvs.2025.1597439openalex-snapshot
Eco-efficiency and its determinants of major grain-producing areas in China
inferred← citeshttps://doi.org/10.3390/rs70505256openalex-snapshot
Definitions and Mapping of East African Wetlands: A Review
inferred← citeshttps://doi.org/10.3390/su142416509openalex-snapshot
Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective
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Inverse modeling of European CH 4 emissions: sensitivity to the observational network
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Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI
inferred← citeshttps://doi.org/10.5194/acp-14-8269-2014openalex-snapshot
CarbonTracker-CH 4 : an assimilation system for estimating emissions of atmospheric methane
inferred← citeshttps://doi.org/10.5194/acp-15-9819-2015openalex-snapshot
Long-lived atmospheric trace gases measurements in flask samples from three stations in India
inferred← citeshttps://doi.org/10.5194/acp-16-9089-2016openalex-snapshot
Can we detect regional methane anomalies? A comparison between three observing systems
inferred← citeshttps://doi.org/10.5194/acp-17-3553-2017openalex-snapshot
Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion
inferred← citeshttps://doi.org/10.5194/acp-18-9475-2018openalex-snapshot
Simulating CH 4 and CO 2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA
inferred← citeshttps://doi.org/10.5194/acp-21-5117-2021openalex-snapshot
Systematic detection of local CH 4 anomalies by combining satellite measurements with high-resolution forecasts
inferred← citeshttps://doi.org/10.5194/acp-23-3829-2023openalex-snapshot
Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020
inferred← citeshttps://doi.org/10.5194/acp-26-9757-2026openalex-snapshot
Strong monsoon influence on South Asian methane emissions in 2020 revealed by a Bayesian inversion constrained by satellite observations
inferred← citeshttps://doi.org/10.5194/acp-6-1275-2006openalex-snapshot
Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modelling
inferred← citeshttps://doi.org/10.5194/acp-8-3827-2008openalex-snapshot
Three years of greenhouse gas column-averaged dry air mole fractions retrieved from satellite – Part 1: Carbon dioxide
inferred← citeshttps://doi.org/10.5194/acpd-14-3193-2014openalex-snapshot
Analysis of the global atmospheric methane budget using ECHAM-MOZ simulations for present-day, pre-industrial time and the Last Glacial Maximum
inferred← citeshttps://doi.org/10.5194/adgeo-27-45-2010openalex-snapshot
Global-scale analysis of satellite-derived time series of naturally inundated areas as a basis for floodplain modeling
inferred← citeshttps://doi.org/10.5194/bg-14-163-2017openalex-snapshot
Uncertainties in the national inventory of methane emissions from rice cultivation: field measurements and modeling approaches
inferred← citeshttps://doi.org/10.5194/bg-2-113-2005openalex-snapshot
Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-ac1openalex-snapshot
Comment on egusphere-2022-283: Reply to reviewer 1
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-ac2openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-ac3openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-ac4openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-rc1openalex-snapshot
Comment on egusphere-2022-283
inferred← citeshttps://doi.org/10.5194/egusphere-2022-283-rc2openalex-snapshot
Comment on egusphere-2022-283
inferred← citeshttps://doi.org/10.5338/kjea.2002.21.2.136openalex-snapshot
Emission Characteristics of Methane and Nitrous Oxide by Management of Water and Nutrient in a Rice Paddy Soil
inferred← citeshttps://doi.org/10.9734/cjast/2020/v39i730580openalex-snapshot
Global Warming - Causes, Impacts and Mitigation Strategies in Agriculture
inferred← citeshttps://doi.org/10.9755/ejfa.2018.v30.i6.1707openalex-snapshot
Crop Improvement strategies for Mitigation of Methane Emissions from Rice
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.