Methane emission and entrapment in flooded rice soils as affected by soil properties

Wang, Z. P.; Lindau, C. W.; DeLaune, R. D.; Patrick, W. H.

doi:10.1007/bf00361401

Cited by 109 publications

(54 citation statements)

References 9 publications

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“…However, the observed emissions were within the range reported in several previous studies [31,32]. The low methane emissions may be due to a combination of factors, including low soil pH, coarse-textured soil [33], and low soil organic matter [31]. Compared to AWD, the continuous flooded (CF) plots had a higher global warming potential (GWP) over a 100 year time horizon [36] in 2016.…”

Section: Monitoring Ghg Emissions In Irrigated Rice Systemssupporting

confidence: 58%

Novel Technological and Management Options for Accelerating Transformational Changes in Rice and Livestock Systems

et al. 2017

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Agricultural producers grapple with low farm yields and declining ecosystem services within their landscapes. In several instances, agricultural production systems may be considered largely unsustainable in socioeconomic and ecological (resource conservation and use and impact on nature) terms. Novel technological and management options that can serve as vehicles to promote the provision of multiple benefits, including the improvement of smallholder livelihoods, are needed. We call for a paradigm shift to allow designing and implementing agricultural systems that are not only efficient (serving as a means to promote development based on the concept of creating more goods and services while using fewer resources and creating less waste) but can also be considered synergistic (symbiotic relationship between socio-ecological systems) by simultaneously contributing to major objectives of economic, ecological, and social (equity) improvement of agro-ecosystems. These transformations require strategic approaches that are supported by participatory system-level research, experimentation, and innovation. Using data from several studies, we here provide evidence for technological and management options that could be optimized, promoted, and adopted to enable agricultural systems to be efficient, effective, and, indeed, sustainable. Specifically, we present results from a study conducted in Colombia, which demonstrated that, in rice systems, improved water management practices such as Alternate Wetting and Drying (AWD) reduce methane emissions (~70%). We also show how women can play a key role in AWD adoption. For livestock systems, we present in vitro evidence showing that the use of alternative feed options such as cassava leaves contributes to livestock feed supplementation and could represent a cost-effective approach for reducing enteric methane emissions (22% to 55%). We argue that to design and benefit from sustainable agricultural systems, there is a need for better targeting of interventions that are co-designed, co-evaluated, and co-promoted, with farmers as allies of transformational change (as done in the climate-smart villages), not as recipients of external knowledge. Moreover, for inclusive sustainability that harnesses existing knowledge and influences decision-making processes across scales, there is a need for constant, efficient, effective, and real trans-disciplinary communication and collaboration.

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Section: Monitoring Ghg Emissions In Irrigated Rice Systemssupporting

confidence: 58%

Novel Technological and Management Options for Accelerating Transformational Changes in Rice and Livestock Systems

et al. 2017

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“…Previous studies have shown that the optimum pH of methanogen is 6.9-7.2 [62]; a higher pH (>7.2) would result in stronger inhibition of CH 4 production. In addition, studies have shown that CH 4 emissions are negatively related to salinity [63,64].…”

Section: Ch 4 Fluxmentioning

confidence: 96%

The Emissions of Carbon Dioxide, Methane, and Nitrous Oxide during Winter without Cultivation in Local Saline-Alkali Rice and Maize Fields in Northeast China

et al. 2017

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Agricultural ecosystems are important contributors to atmospheric greenhouse gasses (GHGs); however, in situ winter emission data in saline-alkali fields are scarce. Gas samples were collected during different periods, from three rice (R1-R3) and three maize (M1-M3) fields with different soil pH levels and salinity conditions. Carbon dioxide (CO 2 ) emissions in the rice and maize fields decreased with decreasing temperature during the freezing period and increased with the rising temperature during the thawing period, with the majority of winter CO 2 emissions occurring during these two periods. Peaks in methane (CH 4 ) emissions were observed during the freezing period in the rice fields and during the snow-melting period in the rice and maize fields. CH 4 emissions in the rice fields and CH 4 uptake rates in the maize fields were significantly (P < 0.05) related to surface soil temperature. Nitrous oxide (N 2 O) emissions remained relatively low, except for during the peaks observed during the snow-melting period in both the rice and maize fields, leading to the high GHG contribution of the snow-melting period throughout the winter. Higher pH and salinity conditions consistently resulted in lower CO 2 , CH 4 , and N 2 O emissions, CH 4 uptake, and lower global warming potential (GWP). These results can contribute to the assessment of the GWP during winter in saline-alkali regions.

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“…The anaerobic decomposition rate modifier for soil water content (m / w ) increases exponentially for a soil above field capacity according to the following equation: (5) where θ f is the amount of water held between field capacity and the permanent wilting point (mm layer The anaerobic rate modifier for soil pH (m / pH ) is more complex and follows a sigmoid relationship after measurements by Garcia et al (2000) and Wang et al (1993): (6) where c 3 and c 4 are fitted constants and pH is the soil pH.…”

Section: Anaerobic Decompositionmentioning

confidence: 99%

Estimating changes in Scottish soil carbon stocks using ECOSSE. I. Model description and uncertainties

Smith¹,

Gottschalk²,

Bellarby³

et al. 2010

Clim. Res.

111

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To predict the response of C-rich soils to external change, models are needed that accurately reflect the conditions of these soils. Estimation of Carbon in Organic Soils -Sequestration and Emissions (ECOSSE) is a model that allows simulations of soil C and N turnover in both mineral and organic soils using only the limited meteorological, land-use and soil data that is available at the national scale. Because it is able to function at field as well as national scales if appropriate input data are used, field-scale evaluations can be used to determine uncertainty in national simulations. Here we present an evaluation of the uncertainty expected in national-scale simulations of Scotland, using data from the National Soil Inventory of Scotland. This data set provides measurements of C change for the range of soils, climates and land-use types found across Scotland. The simulated values show a high degree of association with the measurements in both total C and change in C content of the soil. Over all sites where land-use change occurred, the average deviation between the simulated and measured values of percentage change in soil C was less than the experimental error (11% simulation error, 53% measurement error). This suggests that the uncertainty in the national-scale simulations will be ~11%. Only a small bias in the simulations was observed compared to the measured values, suggesting that a small underestimate of the change in soil C should be expected at the national scale (-4%).

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Methane emission and entrapment in flooded rice soils as affected by soil properties

Cited by 109 publications

References 9 publications

Novel Technological and Management Options for Accelerating Transformational Changes in Rice and Livestock Systems

Novel Technological and Management Options for Accelerating Transformational Changes in Rice and Livestock Systems

The Emissions of Carbon Dioxide, Methane, and Nitrous Oxide during Winter without Cultivation in Local Saline-Alkali Rice and Maize Fields in Northeast China

Estimating changes in Scottish soil carbon stocks using ECOSSE. I. Model description and uncertainties

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