scholarly journals Greenhouse Gas Emissions: Historical and Projected Methane Emissions from Rice Cultivation in Malaysia (1990-2030)

2018 ◽  
Vol 3 (1) ◽  
pp. 19 ◽  
Author(s):  
Shaidatul Azdawiyah A. Talib ◽  
Mohd Fairuz M. Suptian ◽  
Mohammad Hariz A. Rahman ◽  
Nurul Ain A. Bakar ◽  
Fauzi J. ◽  
...  

<p><em>Global warming and climate change has reached the alarming levels due to increase of greenhouse gas emissions into the atmosphere which includes carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O). Flooded rice (Oryza sativa L.) cultivation has been identified as one of the prominent global agricultural sources of anthropogenic CH<sub>4</sub> emissions. Moreover, it has been estimated that global rice production is responsible for 11% of total anthropogenic CH<sub>4</sub> emissions. The inventory of CH<sub>4</sub> emission from rice cultivation in Malaysia was estimated from 1990 to 2014 and was also used as basis for computing the projected emissions up to 2030 by using Auto-Regressive Integrated Moving Average (ARIMA) model. Results showed that CH<sub>4</sub> emissions is higher from granary area (continuously flooded) than non-granary area (rain-fed) due to different water management practices. Continuously flooded irrigation system which lead to anaerobic conditions emit almost (75%) higher CH<sub>4</sub> than rain-fed irrigation system. Emissions forecasted will be continuously increase from 2015 to 2030 within the confidence limits. Emissions were forecasted to increase up to 88 Gg by 2030 due to increase of country population which will lead to expansion of cultivation area in order to fulfil country needs.</em></p>

2020 ◽  
Author(s):  
Matthias Kuhnert ◽  
Viktoria Oliver ◽  
Andrea Volante ◽  
Stefano Monaco ◽  
Yit Arn Teh ◽  
...  

&lt;p&gt;Rice cultivation has high water consumption and emits large quantities of greenhouse gases. Therefore, rice fields provide great potential to mitigate GHG emissions by modifications to cultivation practices or external inputs. Previous studies showed differences for impacts of alternated wetting and drying (AWD) practices for above-ground and below-ground biomass, which might have long term impacts on soil organic carbon stocks. The objective of this study is to parameterise and evaluate the model ECOSSE for rice simulations based on data from an Italian rice test site where the effects of different water management practices and 12 common European cultivars, on yield and GHG emissions, were investigated. Special focus is on the differences of the impacts on the greenhouse gas emissions for AWD and continuous flooding (CF). The model is calibrated and tested for field measurements and is used for model experiments to explore climate change impacts and long-term effects. Long term carbon storage is of particular interest since it is a suitable mitigation strategy. As experiments showed different impacts of management practices on the below ground biomass, long term model experiments are used to estimate impacts on SOC of the different practices. The measurements also allow an analysis of the impacts of different cultivars and the uncertainty of model approaches using a single data set for calibration.&lt;/p&gt;


2019 ◽  
Vol 66 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Kazuyuki Yagi ◽  
Patikorn Sriphirom ◽  
Nittaya Cha-un ◽  
Kanlayanee Fusuwankaya ◽  
Amnat Chidthaisong ◽  
...  

2018 ◽  
Author(s):  
Femke Lutz ◽  
Tobias Herzfeld ◽  
Jens Heinke ◽  
Susanne Rolinski ◽  
Sibyll Schaphoff ◽  
...  

Abstract. The effects of tillage on soil properties (e.g. soil carbon and nitrogen), crop productivity, and global greenhouse gas emissions have been discussed in the last decades. Global ecosystem models are limited in simulating tillage. Hence, they do not allow for analyzing the effects of tillage and cannot evaluate, for example, reduced-tillage or no-till as mitigation practices for climate change. In this paper, we describe the implementation of tillage related practices in the global ecosystem model LPJmL. The model is subsequently evaluated against reported differences between tillage and no-till management on several soil properties. To this end, simulation results are compared with published meta-analysis on tillage effects. In general, the model is able to reproduce observed tillage effects on global, as well as regional patterns of carbon and water fluxes. However, modeled N-fluxes deviate from the literature and need further study. The addition of the tillage module to LPJmL 5.0 opens opportunities to assess the impact of agricultural soil management practices under different scenarios with implications for agricultural productivity, carbon sequestration, greenhouse gas emissions and other environmental indicators.


2012 ◽  
Vol 135 ◽  
pp. 10-21 ◽  
Author(s):  
Bruce A. Linquist ◽  
Maria Arlene Adviento-Borbe ◽  
Cameron M. Pittelkow ◽  
Chris van Kessel ◽  
Kees Jan van Groenigen

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