Upscaling regional emissions of greenhouse gases from rice cultivation: methods and sources of uncertainty

Author(s):  
Peter H. Verburg ◽  
Peter M. van Bodegom ◽  
Hugo A. C. Denier van der Gon ◽  
Aldo Bergsma ◽  
Nico van Breemen
Plant Ecology ◽  
2006 ◽  
Vol 182 (1-2) ◽  
pp. 89-106 ◽  
Author(s):  
Peter H. Verburg ◽  
Peter M. van Bodegom ◽  
Hugo A. C. Denier van der Gon ◽  
Aldo Bergsma ◽  
Nico van Breemen

2016 ◽  
Vol 69 (1) ◽  
pp. 7783-7792 ◽  
Author(s):  
Deicy Catalina Guerra Garcia ◽  
Jairo Alexander Osorio Saraz ◽  
Rolando Barahona Rosales

The aim of this study was to estimate emissions of greenhouse gases (GHG) generated by the agricultural activities carried out in the Metropolitan Area of the Aburrá Valley (AMVA), located in Medellin - Colombia. A TIER 1 approach of the methodology of the Intergovernmental Panel on Climate Change, IPCC was followed. Emissions of GHG from cropland, aggregate sources and non-CO2 emissions from land were estimated and analysis of the uncertainty of activity data and emission factors were made. The estimated total emission was 63.1 and 66 Gg CO2 eq for 2009 and 2011, respectively. The greatest contribution to greenhouse gases in agricultural production was the application of nitrogen to soils in the form of synthetic and organic fertilizers, which was associated with direct and indirect N2O emissions. The main sources of uncertainty were those derived from the activity data.


2004 ◽  
Vol 38 (2) ◽  
pp. 364-366 ◽  
Author(s):  
M. Aslam K. Khalil ◽  
Reinhold A. Rasmussen

2013 ◽  
Vol 38 (2) ◽  
pp. 363-371 ◽  
Author(s):  
N Salahin ◽  
RA Begum ◽  
S Hossian ◽  
MM Ullah ◽  
MK Alam

An experiment was conducted in Hill Agricultural Research Station (HARS), Khagrachari during 2011-2012 to estimate the soil loss and changes in soil properties under indigenous cultivation methods of ginger, turmeric, aroid, and jhum rice in hill slopes. The use of indigenous cultivation methods for growing different crops has created negative impact on soil productivity in hill slope. Among the four crops, the annually highest soil loss (22.68 t/ha) occurred by ginger cultivation which was statistically similar with turmeric (16.52 t/ha) followed by aroid (12.02 t/ha) and lowest soil loss (7.92 t/ha) occurred by jhum rice cultivation. There were no significant changes in soil physical properties like soil texture, bulk density, soil moisture content, field capacity. Organic matter and all the nutrients were higher in eroded soil than the post-harvested soil. A considerable amount of organic matter along with macro and micronutrients has been depleted through traditional method of crop cultivation. Bangladesh J. Agril. Res. 38(2): 363-371, June 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i2.15897


2017 ◽  
Vol 58 (2) ◽  
pp. 172-186 ◽  
Author(s):  
Shobit Thapa ◽  
Kunal Ranjan ◽  
Balasubramanian Ramakrishnan ◽  
Kulandaivelu Velmourougane ◽  
Radha Prasanna

2021 ◽  
Vol 23 (3) ◽  
pp. 291-296
Author(s):  
PRABHU V ◽  

This study was conducted during the kharif, 2020 at ICAR-Perunthalaivar Kamaraj Krishi Vigyan Kendra, Puducherry, India aimed to examine the effect of fortified in situ rice residue compost, zinc nano fertilizer on the growth and yield of rice under rice cultivation methods. The experiment was conducted in a split plot design; 3mainplots (TPR, DSR and AR) and eight subplots (fortified manures and nano zinc particles) with three replications. The results revealed that the TPRsignificantly improved tillers, LAI, productive tillers, panicle weight, grain and straw yield, zinc content and uptake and it was statistically on par with DSRand superior over AR. Nutrient management, fortified manure + ZnO NPs (SP+FS) significantly registered higher growth and yield attributes, Zn content and uptake of rice over to ZnO seed priming alone, ZnSO4 and control. The PGPM, humic acid and seaweed extract fortified organic manures either FYM or rice residue compost, nano zinc as seed priming and foliar spray under TPR or DSR have the potential to maximize rice production without foregoing soil sustainability


Author(s):  
Mat Collins

Predictions of future climate are of central importance in determining actions to adapt to the impacts of climate change and in formulating targets to reduce emissions of greenhouse gases. In the absence of analogues of the future, physically based numerical climate models must be used to make predictions. New approaches are under development to deal with a number of sources of uncertainty that arise in the prediction process. This paper introduces some of the concepts and issues in these new approaches, which are discussed in more detail in the papers contained in this issue.


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