Impacts of irrigation methods on greenhouse gas emissions/absorptions from vegetable soils

被引:27
|
作者
Ye, Xuhong [1 ]
Liu, Hongdou [1 ]
Zhang, Xichao [1 ]
Ma, Jianhui [1 ]
Han, Bing [1 ]
Li, Wen [1 ]
Zou, Hongtao [1 ]
Zhang, Yulong [1 ]
Lin, Xiangui [2 ]
机构
[1] Shenyang Agr Univ, Coll Land, Minist Agr Key Lab NE Preservation Cultivated Lan, Natl Engn Lab Efficient Utilization Soil, Shenyang, Peoples R China
[2] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil, Sustainable Agr, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Correlation; Environmentally friendly; GHG emissions; Irrigation methods; EMISSIONS; RESPONSES; COTTON; FIELD; N2O;
D O I
10.1007/s11368-019-02422-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Purpose Recently, N2O, CO2, and CH4 have been gaining attention as major greenhouse gases (GHGs) that contribute to global warming. Agricultural water-saving irrigation technology has become more and more important and is widely applied to the arid areas. These influences have important and strategic significances for reducing greenhouse effects. However, there is limit information regarding the influence of irrigation methods on soil gases emissions. We investigated the effect of mulched drip irrigation (MDI), drip filtration irrigation (DFI), and conventional irrigation (CK) on N2O, CO2, CH4 emissions, affecting factors and their correlations in a greenhouse soil. Materials and methods Observations were performed from April to August in 2015 on the entire tomato growth season. We monitored the flux of GHG emissions by the static chamber-gas chromatograph method under three irrigation conditions: mulched drip irrigation (MDI), drip filtration irrigation (DFI), and conventional irrigation (CK). To investigate the effects of affecting factors on soil GHG emissions, we also measured soil temperature (5 cm), soil moisture, and air temperature. Compared with the cumulative emission of GHGs (N2O and CH4 calculation in the form of CO2), we created the concept of the ratio of yield and gas (crop yield and soil accumulated GHG emissions). Results and discussion Tomato yield of MDI and DFI is significantly higher than CK. Soil moisture is the main factor affecting N2O emissions and CH4 exchange during the tomato-growing season. N2O emission fluxes have an extremely significant correlation with water-filled pore space (WFPS) at suitable temperatures. CO2 emissions demonstrated a significant correlation with environment temperature (soil and air). CO2 emissions gradually increased and had seasonal variations with rising temperatures and plant growth in each irrigation method. CH4 exchange fluxes showed a significant correlation with WFPS. Conclusions MDI obtains high yields, is cost-efficient, conserves water, and produces the least amount of integrated GHGs. It helps to mitigate global warming and it would be the best irrigation method.
引用
收藏
页码:723 / 733
页数:11
相关论文
共 50 条
  • [21] Machine learning for predicting greenhouse gas emissions from agricultural soils
    Hamrani, Abderrachid
    Akbarzadeh, Abdolhamid
    Madramootoo, Chandra A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 741
  • [22] A Worldwide Assessment of Greenhouse Gas Emissions from Drained Organic Soils
    Tubiello, Francesco Nicola
    Biancalani, Riccardo
    Salvatore, Mirella
    Rossi, Simone
    Conchedda, Giulia
    SUSTAINABILITY, 2016, 8 (04)
  • [23] High temporal frequency measurements of greenhouse gas emissions from soils
    Savage, K.
    Phillips, R.
    Davidson, E.
    BIOGEOSCIENCES, 2014, 11 (10) : 2709 - 2720
  • [24] Greenhouse Gas Emissions from Agricultural Soils: Sources and Mitigation Potential
    Benbi, Dinesh K.
    JOURNAL OF CROP IMPROVEMENT, 2013, 27 (06) : 752 - 772
  • [25] Biochar Impacts on Crop Productivity and Greenhouse Gas Emissions from an Andosol
    Koga, Nobuhisa
    Shimoda, Seiji
    Iwata, Yukiyoshi
    JOURNAL OF ENVIRONMENTAL QUALITY, 2017, 46 (01) : 27 - 35
  • [26] Modeling Impacts of Tracking on Greenhouse Gas Emissions from Photovoltaic Power
    Miller, Ian
    Gencer, Emre
    O'Sullivan, Francis M.
    29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A, 2019, 46 : 1057 - 1062
  • [27] A hybrid extreme learning machine approach for modeling the effectiveness of irrigation methods on greenhouse gas emissions
    Dehghanisanij, Hossein
    Yargholi, Bahman
    Emami, Somayeh
    Emami, Hojjat
    Fujimaki, Haruyuki
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [28] Vermicomposting treatment of vegetable waste and its greenhouse gas emissions
    Yang, Fan
    Li, Guoxue
    Jiang, Tao
    Zhang, Baoli
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2012, 28 (16): : 190 - 196
  • [29] The Mechanisms of High N2O Emissions from Greenhouse Vegetable Field Soils
    Wang, Jing
    Zhang, Jinbo
    Mueller, Christoph
    Cai, Zucong
    CLEAN-SOIL AIR WATER, 2017, 45 (10)
  • [30] Greenhouse gas emissions from US irrigation pumping and implications for climate-smart irrigation policy
    Driscoll, Avery W.
    Conant, Richard T.
    Marston, Landon T.
    Choi, Eunkyoung
    Mueller, Nathaniel D.
    NATURE COMMUNICATIONS, 2024, 15 (01)