Effect of mulched drip irrigation on crop biomass and carbon fluxes in maize field

被引:0
|
作者
Guo, Hui [1 ,2 ,3 ]
Wang, Xuhui [1 ]
Wang, Yahui [4 ]
Li, Sien [2 ,3 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
[2] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China
[3] Shiyanghe Expt Stn Improving Water Use Efficiency, Minist Agr & Rural Affairs, Gansu, Peoples R China
[4] Hebei Univ Water Resources & Elect Engn, Hebei 061001, Peoples R China
基金
中国博士后科学基金;
关键词
Irrigation methods; Crop biomass; Carbon flux; DNDC model; WATER-USE EFFICIENCY; FOOD SECURITY; MODEL; CHINA; EMISSIONS; ECOSYSTEM; DNDC; SEQUESTRATION; RESPIRATION; SIMULATION;
D O I
10.1016/j.agwat.2024.109016
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The agroecosystem, a critical component of the terrestrial carbon cycle, plays an indispensable role in maintaining the balance of carbon pools and ensuring global food security. Investigating the interplay between crop yield and carbon cycle is essential for the advancement of sustainable agricultural practices. In the quest for water-efficient agricultural solutions, mulched drip irrigation emerges as a promising technique to mitigate water scarcity in agriculture. In the arid regions of northwest China, where water is a precious resource, understanding the impact of irrigation methods on the productivity and carbon dynamics of crops like spring maize is critical. Our study aimed to evaluate the influence of two irrigation methods-mulched drip irrigation (DI) and mulched border irrigation (BI)-on the biomass accumulation and carbon fluxes of spring maize by field observation and DNDC model simulation for comparative analysis. The findings based on field and flux observation data, underscore the transformative potential of shifting from BI to DI. DI was found to significantly enhance the soil's hydrothermal environment, which is crucial for fostering optimal conditions for crop growth. This improvement is instrumental in promoting the allocation of photosynthetic products to the aboveground biomass, ultimately leading to a substantial increase in grain yield. Our results indicated that the DI treatment not only bolstered the gross primary productivity (GPP) but also elevated the ecosystem respiration (RE) compared to the BI treatment. Finally, DI can increase the net ecosystem productivity (NEP) of maize fields by 6.08 %. The Denitrification-Decomposition (DNDC) model, after calibration and validation, proved to be a reliable tool for estimating ecosystem respiration under the two irrigation systems. A thorough analysis of the simulated data revealed that DI's enhancement of the soil's hydrothermal environment also led to an increase in soil heterotrophic respiration. This insight is vital as it sheds light on the complex interactions between irrigation practices and soil microbial processes, which are integral to the carbon cycle. These findings contribute to the growing body of knowledge on sustainable agricultural practices and provide a theoretical foundation for strategies aimed at achieving carbon neutrality. By adopting data-driven approaches and leveraging advanced models, we can pave the way for a more sustainable and resilient agricultural future that harmoniously balances productivity and environmental stewardship.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Carbon Dioxide Fluxes and Concentrations in a Cotton Field in Northwestern China: Effects of Plastic Mulching and Drip Irrigation
    Li Zhi-Guo
    Zhang Run-Hua
    Wang Xiu-Jun
    Wang Jie-Ping
    Zhang Cui-Ping
    Tian Chang-Yan
    [J]. PEDOSPHERE, 2011, 21 (02) : 178 - 185
  • [32] Spatial Variability and Lateral Location of Soil Moisture Monitoring Points on Cotton Mulched Drip Irrigation Field
    Lei, Xiaoyun
    Li, Fangsong
    Zhou, Shijun
    Li, Yan
    Chen, Dachun
    Liu, Huanxian
    Pan, Yu
    Shen, Xiangmin
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT I, 2012, 368 : 247 - +
  • [33] Evaluation of the effect of soil salinity on the crop coefficient (Kc) for cotton (Gossypium hirsutum L.) under mulched drip irrigation in arid regions
    Ma, Chao
    Wang, Jun
    Li, Jiusheng
    [J]. IRRIGATION SCIENCE, 2023, 41 (02) : 235 - 249
  • [34] Evaluation of the effect of soil salinity on the crop coefficient (Kc) for cotton (Gossypium hirsutum L.) under mulched drip irrigation in arid regions
    Chao Ma
    Jun Wang
    Jiusheng Li
    [J]. Irrigation Science, 2023, 41 : 235 - 249
  • [35] Effect of Planting Date on Accumulated Temperature and Maize Growth under Mulched Drip Irrigation in a Middle-Latitude Area with Frequent Chilling Injury
    Wang, Dan
    Li, Guangyong
    Mo, Yan
    Cai, Mingkun
    Bian, Xinyang
    [J]. SUSTAINABILITY, 2017, 9 (09)
  • [36] Drivers of carbon flux in drip irrigation maize fields in northwest China
    Hui Guo
    Sien Li
    Fuk-Ling Wong
    Shujing Qin
    Yahui Wang
    Danni Yang
    Hon-Ming Lam
    [J]. Carbon Balance and Management, 16
  • [37] Drivers of carbon flux in drip irrigation maize fields in northwest China
    Guo, Hui
    Li, Sien
    Wong, Fuk-Ling
    Qin, Shujing
    Wang, Yahui
    Yang, Danni
    Lam, Hon-Ming
    [J]. CARBON BALANCE AND MANAGEMENT, 2021, 16 (01)
  • [38] Soil and canopy energy balances in a maize field with subsurface drip irrigation
    Kosari, Hanieh
    Dehghanisanij, Hossein
    Mirzaei, Farhad
    Liaghat, Abdol-Majid
    [J]. CLIMATE AND LAND SURFACE CHANGES IN HYDROLOGY, 2013, 359 : 278 - 282
  • [39] Effects of organic wastes on labile organic carbon in semiarid soil under plastic mulched drip irrigation
    Hu, Juan
    Wu, Jinggui
    Qu, Xiaojing
    [J]. ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2019, 65 (13) : 1873 - 1884
  • [40] Effect of brackish water on tomato yield and water consumption under mulched-drip irrigation
    Wan, SQ
    Kang, YH
    Liu, SP
    [J]. LAND AND WATER MANAGEMENT: DECISION TOOLS AND PRACTICES, VOLS 1 AND 2, 2004, : 1270 - 1278