Soil greenhouse gas fluxes and net global warming potential from intensively cultivated vegetable fields in southwestern China

Mu, Zhijian; Huang, Aiying; Ni, Jiupai; Li, J.Q; Liu, Y. Y; Shi, Shengwei; Xie, De; Hatano, Ryusuke

doi:10.4067/s0718-95162013005000045

Cited by 10 publications

(13 citation statements)

References 23 publications

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“…Williams et al, 1999) to 3 times per month (e.g. Mu et al, 2013), with interpolation between sampling dates to calculate annual cumulative emissions. However, it has been widely reported that in many agricultural systems, N 2 O emissions are episodic and linked to events such as rainfall, irrigation or fertiliser application, which may be missed by a pre-set sampling regime.…”

Section: Introductionmentioning

confidence: 99%

Optimum sampling time and frequency for measuring N 2 O emissions from a rain-fed cereal cropping system

Reeves

Wang

2015

Science of The Total Environment

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Annual cumulative nitrous oxide (N2O) emissions from soil have historically been calculated from intermittent data measured manually via the static chamber method. The temporal variability in emissions, both diurnally and between days, introduces uncertainty into the up-scaling of static chamber data. This study assessed the most appropriate time of the day to sample and the best sampling frequency to ensure reliable estimates of annual cumulative emissions. Sub-daily N2O emissions were measured using automatic gas sampling chambers over three years in a sub-tropical cereal crop system. The sub-daily dataset was divided into eight time periods per day to assess the best sampling time of the day. Daily mean N2O emissions were subsampled from the dataset to simulate different sampling frequencies, including pre-set and rainfall-based scenarios. Annual cumulative N2O emissions were calculated for these scenarios and compared to the 'actual' annual cumulative emissions. The results demonstrated that manual sampling between mid-morning (09:00) and midday (12:00), and late evening (21:00) and midnight (24:00) best approximated the daily mean N2O emission. Factoring in the need to sample during daylight hours, gas sampling from mid-morning to midday was the most appropriate sampling time. Overall, triweekly sampling provided the most accurate estimate (± 4% error) of annual cumulative N2O emissions, but was undesirable due to its labour intensive high sampling frequency. Weekly sampling with triweekly sampling in the two weeks following rainfall events was the most efficient sampling schedule, as it had similar accuracy (± 5% error) to the triweekly sampling, the smallest variability in outcomes and approximately half the sampling times of triweekly sampling. Inter-annual rainfall variability affected the accuracy and variability of estimations of annual cumulative emissions, but did not affect the overall trends in sampling frequency accuracy. This study demonstrated that intermittent samplings are capable of estimating the annual cumulative N2O emissions satisfactorily when timed appropriately.

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Section: Introductionmentioning

confidence: 99%

Optimum sampling time and frequency for measuring N 2 O emissions from a rain-fed cereal cropping system

Reeves

Wang

2015

Science of The Total Environment

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“…In contrast, soil CO 2 flux from bare plots (1 m × 1 m with 3 replicates) at each treatment was monitored using a small stainless-steel chamber with a size of 20 cm in diameter and 25 cm in height (Mu et al 2013). Gas samples were immediately transported to the lab for analysing GHG concentrations by gas chromatograph (GC-2014, Shimadzu, Kyoto, Japan).…”

Section: Methodsmentioning

confidence: 99%

“…were found in different studies, and were seemingly explained by differences in experimental duration and ecosystem type (Song et al 2012, Medvedeff et al 2014. Like CH 4 , soil respiration and CO 2 emission are also found to respond divergently to chemical fertilisers (Mu et al 2013).…”

mentioning

confidence: 95%

Effect of long-term differentiated fertilisation regimes on greenhouse gas emissions from a subtropical rice-wheat cropping system

Wang¹,

Mu²,

Guo³

et al. 2020

PLANT SOIL ENVIRON

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A field campaign was conducted using six treatments under the summer rice-winter wheat cultivation system to evaluate the response of soil greenhouse gas (GHG) emissions to long-term differentiated fertilisation regimes. The treatments included control, phosphorus plus potassium, nitrogen only, nitrogen plus phosphorus (NP), nitrogen plus potassium, and NP plus potassium (NPK). Compared to the control, mineral fertilisation increased CH4 emissions during the rice season by 69% to 175%. Phosphorus amendment also enhanced seasonal CO2 emissions by 21% to 34% when compared with the treatments without receiving P, while combined use of P and potassium suppressed seasonal N2O emission to the same level of control. Net CO2 and N2O emissions from the dried fallow and wheat seasons and CH4 emissions from the flooding rice season dominated annual budgets of individual GHGs. All of the soils under different treatments were net sources of global warming and the overall net global warming potential ranged from 9 799 to 14 178 kg CO2 eq/ha/year with CO2 emission contributing 52% to 76%, CH4 contributing 20% to 40% and N2O occupying the rest. The annual maximum grain yields and minimum GHG intensity was observed at the NPK treatment, suggesting it to be the environmental-friendly optimum fertilisation regime.

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“…Greenhouse gases are the source of global warming, and energy conservation and emission reduction has become a global consensus [1][2][3]. Owing to reconcile the demands of both economic development and energy saving and emission reduction, China's government actively implemented the sustainable development path of low-carbon economy since the global climate conference in Copenhagen, and firstly definitely stipulate the reduction target (17%) of carbon intensity in China's "12·5" Planning.…”

Section: Introductionmentioning

confidence: 99%

Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model

2017

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Firstly, we introduce the "Zero Sum Gains" game theory into the SBM (Slacks-based Measure) model, and establish the ZSG-SBM model. Then, set up 4 development scenarios for the China's economic system in "13·5" (The Chinese government formulates a Five-Year Planning for national economic and social development every five years, "13·5" means 2016 to 2020.) period through two dimensions as economic growth and energy consumption structure, and make the efficient allocation in provincial level of carbon reduction target by using the above ZSG-SBM model based on the China's overall carbon reduction constraint (18%) which is set in "13·5" planning. Finally, we analyze the provincial development path of low-carbon economy by comparing the economic development status with the allocated result of carbon reduction target. Results show that: After the ZSG-SBM model being applied to the efficiency allocation of carbon emission, the input and output indicators of the 30 provinces realize the effective allocation, and the carbon emission efficiency reaches the efficiency frontier. The equity-oriented administrative allocation scheme of government will bring about efficiency loss in a certain degree, and the efficiency allocation scheme, based on the ZSG-SBM model, fits better with the long-term development requirement of low-carbon economy. On the basis of carbon intensity constraint, the re-constraint of energy intensity will force the provinces to optimize their energy consumption structure, thereby enhancing the overall carbon emission efficiency of China. Sixteen provinces' allocation results of carbon reduction target are above China's average (18%) in "13·5" period, all the provinces should select appropriate development path of low-carbon economy according to the status of their resource endowment, economic level, industrial structure and energy consumption structure.

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Soil greenhouse gas fluxes and net global warming potential from intensively cultivated vegetable fields in southwestern China

Cited by 10 publications

References 23 publications

Optimum sampling time and frequency for measuring N 2 O emissions from a rain-fed cereal cropping system

Optimum sampling time and frequency for measuring N 2 O emissions from a rain-fed cereal cropping system

Effect of long-term differentiated fertilisation regimes on greenhouse gas emissions from a subtropical rice-wheat cropping system

Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model

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