IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2024i1p73-d1557413.html
   My bibliography  Save this article

Effects of Different Straw Return Methods on Farmland Carbon Footprint and Water Footprint

Author

Listed:
  • Lu Hua

    (College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China
    Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Northern Agriculture and Livestock Husbandry Technology Innovation Center, Hohhot 010000, China
    Zibo Institute for Digital Agriculture and Rural Research, Zibo 255000, China)

  • Yang Gao

    (College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China)

  • Dingyang Li

    (College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China)

  • Zhenxing Yang

    (College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China)

  • Zhiping Liu

    (College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China)

Abstract

Straw return is an effective agricultural measure that influences the ecological environment. In the context of global climate change and the need for sustainable development, it is essential to explore how straw return methods affect the environment. This study conducted a two-year field experiment comparing different straw return treatments: no straw return (CK), straw return directly (SR), and straw returned in deep ditches (ISR). The results showed that SR treatment increased soil dissolved organic carbon (DOC) (21.7~25.8%) and dissolved organic nitrogen (DON) (8.5~43.8%) compared to CK. The ISR treatment significantly enhanced DOC (13.1~33.0%) and DON (14.2~50.8%). Both SR and ISR treatments also improved maize growth indicators, such as leaf area index (LAI), stem biomass, leaf biomass, and grain biomass. In terms of environmental effects, the ISR measure reduced N 2 O emissions and significantly lowered the carbon footprint (CF) and water footprint (WF). Specifically, the yield-scale carbon footprint (CF y ) and yield-scale water footprint (WF y ) of ISR were reduced by 12.0% and 9.1%, respectively, in 2023. Correlation analysis revealed that soil DON and DOC were key factors in these environmental benefits. Furthermore, the reduction in WF and CF was closely linked to the increased SWC and higher biomass in all maize organs. Therefore, we demonstrated that the ISR measure not only promotes maize biomass accumulation but also effectively mitigates carbon emissions and water consumption on farmland. It may be related to the boosting soil DON and DOC levels. Overall, the ISR method holds promise for supporting sustainable farming practices.

Suggested Citation

  • Lu Hua & Yang Gao & Dingyang Li & Zhenxing Yang & Zhiping Liu, 2024. "Effects of Different Straw Return Methods on Farmland Carbon Footprint and Water Footprint," Agriculture, MDPI, vol. 15(1), pages 1-20, December.
  • Handle: RePEc:gam:jagris:v:15:y:2024:i:1:p:73-:d:1557413
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/1/73/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/1/73/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yisheng Lou & Xu Zhang & Shiyu Zhang & Na Li & Yidong Zhao & Wei Bai & Zhanxiang Sun & Zhe Zhang, 2024. "Effects of Straw Input on the Yield and Water-Use Efficiency of Spring Maize in Film-Mulched Farmland," Agriculture, MDPI, vol. 14(10), pages 1-18, October.
    2. Li, Yue & Chen, Hao & Feng, Hao & Dong, Qin’ge & Wu, Wenjie & Zou, Yufeng & Chau, Henry Wai & Siddique, Kadambot H.M., 2020. "Influence of straw incorporation on soil water utilization and summer maize productivity: A five-year field study on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 233(C).
    3. Bocchiola, D., 2015. "Impact of potential climate change on crop yield and water footprint of rice in the Po valley of Italy," Agricultural Systems, Elsevier, vol. 139(C), pages 223-237.
    4. Guo, Ru & Qian, Rui & Du, Luning & Sun, Weili & Wang, Jinjin & Cai, Tie & Zhang, Peng & Jia, Zhikuan & Ren, Xiaolong & Chen, Xiaoli, 2024. "Straw-derived biochar optimizes water consumption, shoot and root characteristics to improve water productivity of maize under reduced nitrogen," Agricultural Water Management, Elsevier, vol. 294(C).
    5. Wang, Linlin & Li, Lingling & Xie, Junhong & Luo, Zhuzhu & Sumera, Anwar & Zechariah, Effah & Fudjoe, Setor Kwami & Palta, Jairo A. & Chen, Yinglong, 2022. "Does plastic mulching reduce water footprint in field crops in China? A meta-analysis," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Salazar, Osvaldo & Balboa, Liliana & Peralta, Kiri & Rossi, Michel & Casanova, Manuel & Tapia, Yasna & Singh, Ranvir & Quemada, Miguel, 2019. "Effect of cover crops on leaching of dissolved organic nitrogen and carbon in a maize-cover crop rotation in Mediterranean Central Chile," Agricultural Water Management, Elsevier, vol. 212(C), pages 399-406.
    7. Vincent Humphrey & Alexis Berg & Philippe Ciais & Pierre Gentine & Martin Jung & Markus Reichstein & Sonia I. Seneviratne & Christian Frankenberg, 2021. "Soil moisture–atmosphere feedback dominates land carbon uptake variability," Nature, Nature, vol. 592(7852), pages 65-69, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xueqin Jiang & Shanjun Luo & Qin Ye & Xican Li & Weihua Jiao, 2022. "Hyperspectral Estimates of Soil Moisture Content Incorporating Harmonic Indicators and Machine Learning," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    2. Bocchiola, D. & Brunetti, L. & Soncini, A. & Polinelli, F. & Gianinetto, M., 2019. "Impact of climate change on agricultural productivity and food security in the Himalayas: A case study in Nepal," Agricultural Systems, Elsevier, vol. 171(C), pages 113-125.
    3. Andrisa Balbinot & Anderson da Rosa Feijó & Marcus Vinicius Fipke & Dalvane Rockenbach & Joseph Harry Massey & Edinalvo Rabaioli Camargo & Marcia Foster Mesko & Priscila Tessmer Scaglioni & Luis Anton, 2021. "Effects of Elevated Atmospheric CO 2 Concentration and Water Regime on Rice Yield, Water Use Efficiency, and Arsenic and Cadmium Accumulation in Grain," Agriculture, MDPI, vol. 11(8), pages 1-13, July.
    4. Elsadig Omer & Dora Szlatenyi & Sándor Csenki & Jomana Alrwashdeh & Ivan Czako & Vince Láng, 2024. "Farming Practice Variability and Its Implications for Soil Health in Agriculture: A Review," Agriculture, MDPI, vol. 14(12), pages 1-27, November.
    5. Toro-Mujica, Paula & Aguilar, Claudio & Vera, Raúl & Cornejo, Karen, 2016. "A simulation-based approach for evaluating the effects of farm type, management, and rainfall on the water footprint of sheep grazing systems in a semi-arid environment," Agricultural Systems, Elsevier, vol. 148(C), pages 75-85.
    6. Li, Xuechun & Chen, Dan & Cao, Xinchun & Luo, Zhaohui & Webber, Michael, 2020. "Assessing the components of, and factors influencing, paddy rice water footprint in China," Agricultural Water Management, Elsevier, vol. 229(C).
    7. Yangyang Wu & Jinli Yang & Siliang Li & Chunzi Guo & Xiaodong Yang & Yue Xu & Fujun Yue & Haijun Peng & Yinchuan Chen & Lei Gu & Zhenghua Shi & Guangjie Luo, 2023. "NDVI-Based Vegetation Dynamics and Their Responses to Climate Change and Human Activities from 2000 to 2020 in Miaoling Karst Mountain Area, SW China," Land, MDPI, vol. 12(7), pages 1-24, June.
    8. Tengteng Qu & Yaoyu Li & Qixin Zhao & Yunzhen Yin & Yuzhi Wang & Fuzhong Li & Wuping Zhang, 2024. "Drone-Based Multispectral Remote Sensing Inversion for Typical Crop Soil Moisture under Dry Farming Conditions," Agriculture, MDPI, vol. 14(3), pages 1-17, March.
    9. Zhang, Binbin & Hu, Yajin & Hill, Robert Lee & Wu, Shufang & Song, Xiaolin, 2021. "Combined effects of biomaterial amendments and rainwater harvesting on soil moisture, structure and apple roots in a rainfed apple orchard on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 248(C).
    10. Jun Li & Yao Zhang & Emanuele Bevacqua & Jakob Zscheischler & Trevor F. Keenan & Xu Lian & Sha Zhou & Hongying Zhang & Mingzhu He & Shilong Piao, 2024. "Future increase in compound soil drought-heat extremes exacerbated by vegetation greening," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Mingming Wang & Xiaowei Guo & Shuai Zhang & Liujun Xiao & Umakant Mishra & Yuanhe Yang & Biao Zhu & Guocheng Wang & Xiali Mao & Tian Qian & Tong Jiang & Zhou Shi & Zhongkui Luo, 2022. "Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Sultan Ahmad Rizvi & Afeef Ahmad & Muhammad Latif & Abdul Sattar Shakir & Aftab Ahmad Khan & Waqas Naseem & Muhammad Riaz Gondal, 2021. "Implication of Remote Sensing Data under GIS Environment for Appraisal of Irrigation System Performance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4909-4926, November.
    13. Jie Lu & Fengqin Yan, 2023. "The Divergent Resistance and Resilience of Forest and Grassland Ecosystems to Extreme Summer Drought in Carbon Sequestration," Land, MDPI, vol. 12(9), pages 1-17, August.
    14. Chen, Yanan & Ding, Zhi & Yu, Pujia & Yang, Hong & Song, Lisheng & Fan, Lei & Han, Xujun & Ma, Mingguo & Tang, Xuguang, 2022. "Quantifying the variability in water use efficiency from the canopy to ecosystem scale across main croplands," Agricultural Water Management, Elsevier, vol. 262(C).
    15. Zhou Xue & Jieqiong Li & Guangqiao Cao, 2022. "Training and Self-Learning: How to Improve Farmers’ Willingness to Adopt Farmland Conservation Technology? Evidence from Jiangsu Province of China," Land, MDPI, vol. 11(12), pages 1-15, December.
    16. Tang, Jianzhao & Bai, Huizi & Zhang, Xinjun & Wang, Rende & Guo, Fenghua & Xiao, Dengpan & Zhou, Haitao, 2022. "Reducing potato water footprint by adjusting planting date in the agro-pastoral ecotone in North China," Ecological Modelling, Elsevier, vol. 474(C).
    17. Zhang, Xiaoyuan & Wang, Ke & Duan, Cuihua & Li, Gaoliang & Zhen, Qing & Zheng, Jiyong, 2023. "Evaporation effect of infiltration hole and its comparison with mulching," Agricultural Water Management, Elsevier, vol. 275(C).
    18. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    19. Mingzhi Yang & Weihua Xiao & Yong Zhao & Xudong Li & Ya Huang & Fan Lu & Baodeng Hou & Baoqi Li, 2018. "Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    20. Weiwei Wang & Jigan Wang & Xinchun Cao, 2020. "Water Use Efficiency and Sensitivity Assessment for Agricultural Production System from the Water Footprint Perspective," Sustainability, MDPI, vol. 12(22), pages 1-17, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2024:i:1:p:73-:d:1557413. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.