IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v466y2022ics030438002200028x.html
   My bibliography  Save this article

Estimating natural nitrous oxide emissions from the Qinghai–Tibetan Plateau using a process-based model: Historical spatiotemporal patterns and future trends

Author

Listed:
  • Zhang, Kerou
  • Peng, Changhui
  • Zhu, Qiuan
  • Li, Mingxu
  • Yan, Zhongqing
  • Li, Meng
  • Yan, Liang
  • Zhang, Xiaodong
  • Wang, Jinzhi
  • Li, Yong
  • Kang, Enze
  • Song, Hanxiong
  • Kang, Xiaoming

Abstract

Fluctuations in natural nitrous oxide emissions (N2O) are not fully understood, especially on the Qinghai–Tibetan Plateau. In order to characterize the differences in historical N2O variations among different regions of the Qinghai-Tibetan Plateau and investigate how a warmer and wetter climate change would affect the N2O fluxes over the Qinghai-Tibetan Plateau, a process-based model (TRIPLEX-GHG) has been validated using 14 sites with annual N2O emission fluxes, and is used to estimate the spatiotemporal patterns of natural N2O fluxes, and predict its future trend for the Qinghai-Tibetan Plateau (the temperature increasing by 1.5 °C and the precipitation increasing by 10%). Considering the model performance evaluation indicators (R2=0.83, rRMSE=44.6%, PBIAS=7.18%), the performance of the model for simulating annual N2O fluxes is “moderate”. The estimated average total natural N2O emissions of the Qinghai-Tibetan Plateau from 1970 to 2017 were 0.313 Tg N yr−1, ranging from 0.305 Tg N yr−1 (1983) to 0.325 Tg N yr−1 (2006). The estimated total natural N2O emissions of the Qinghai-Tibetan Plateau slightly increased from 1970 to 2017, with a mean increase of 0.0002 Tg N yr−1. Between the 1970s and 2010s, most increases in N2O flux were observed in the northern and southeastern regions of the Qinghai-Tibetan Plateau. The area in which the rate of N2O released was greater than 15 µg N m−2 h−1 was mainly found in plateau temperate regions. Regions with relatively high temperatures released more N2O, which indicates that temperature is a dominant factor for N2O emissions in high-altitude regions. Natural N2O emissions of the Qinghai-Tibetan Plateau will increase up to 0.335 Tg N yr−1 (by approximately 6.13%) by 2050 if the climate continues to become warmer and wetter.

Suggested Citation

  • Zhang, Kerou & Peng, Changhui & Zhu, Qiuan & Li, Mingxu & Yan, Zhongqing & Li, Meng & Yan, Liang & Zhang, Xiaodong & Wang, Jinzhi & Li, Yong & Kang, Enze & Song, Hanxiong & Kang, Xiaoming, 2022. "Estimating natural nitrous oxide emissions from the Qinghai–Tibetan Plateau using a process-based model: Historical spatiotemporal patterns and future trends," Ecological Modelling, Elsevier, vol. 466(C).
    • Handle: RePEc:eee:ecomod:v:466:y:2022:i:c:s030438002200028x
    DOI: 10.1016/j.ecolmodel.2022.109902
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002200028X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.109902?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, S. & Yang, J.Y. & Zhang, X.Y. & Drury, C.F. & Reynolds, W.D. & Hoogenboom, G., 2013. "Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China," Agricultural Water Management, Elsevier, vol. 123(C), pages 32-44.
    2. Yigang Hu & Zhenhua Zhang & Qi Wang & Shiping Wang & Zhishan Zhang & Zengru Wang & Guangping Xu & Mingyuan Du & Feike A. Dijkstra, 2017. "Variations of N2O fluxes in response to warming and cooling in an alpine meadow on the Tibetan Plateau," Climatic Change, Springer, vol. 143(1), pages 129-142, July.
    3. Norman, Josefine & Jansson, Per-Erik & Farahbakhshazad, Neda & Butterbach-Bahl, Klaus & Li, Changsheng & Klemedtsson, Leif, 2008. "Simulation of NO and N2O emissions from a spruce forest during a freeze/thaw event using an N-flux submodel from the PnET-N-DNDC model integrated to CoupModel," Ecological Modelling, Elsevier, vol. 216(1), pages 18-30.
    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. Dutta, S. K & Laing, Alison M. & Kumar, S. & Gathala, Mahesh K. & Singh, Ajoy K. & Gaydon, D.S. & Poulton, P., 2020. "Improved water management practices improve cropping system profitability and smallholder farmers’ incomes," Agricultural Water Management, Elsevier, vol. 242(C).
    2. OKORIE, Benedict Odinaka & NIRAJ, Yadav, 2022. "Effects Of Different Tillage Practices On Soil Fertility Properties: A Review," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 8(1), February.
    3. Shuang Liu & Yuru Gao & Huilin Lang & Yong Liu & Hong Zhang, 2022. "Effects of Conventional Tillage and No-Tillage Systems on Maize ( Zea mays L.) Growth and Yield, Soil Structure, and Water in Loess Plateau of China: Field Experiment and Modeling Studies," Land, MDPI, vol. 11(11), pages 1-14, October.
    4. He, Hongxing & Jansson, Per-Erik & Svensson, Magnus & Meyer, Astrid & Klemedtsson, Leif & Kasimir, Åsa, 2016. "Factors controlling Nitrous Oxide emission from a spruce forest ecosystem on drained organic soil, derived using the CoupModel," Ecological Modelling, Elsevier, vol. 321(C), pages 46-63.
    5. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    6. Yang, Xuan & Zheng, Lina & Yang, Qian & Wang, Zikui & Cui, Song & Shen, Yuying, 2018. "Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize-winter wheat-soybean rotation system on the Loess Plateau of China using," Agricultural Systems, Elsevier, vol. 166(C), pages 111-123.
    7. Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(C).
    8. Wu, Si Hong & Jansson, Per-Erik & Kolari, Pasi, 2011. "Modeling seasonal course of carbon fluxes and evapotranspiration in response to low temperature and moisture in a boreal Scots pine ecosystem," Ecological Modelling, Elsevier, vol. 222(17), pages 3103-3119.
    9. Zhou, Hong & Zhao, Wen zhi, 2019. "Modeling soil water balance and irrigation strategies in a flood-irrigated wheat-maize rotation system. A case in dry climate, China," Agricultural Water Management, Elsevier, vol. 221(C), pages 286-302.
    10. Laike Kebede & Melesse Temesgen & Abebe Fanta & Asfaw Kebede & Johan Rockström & Assefa M. Melesse, 2023. "Effect of Locally Adapted Conservation Tillage on Runoff, Soil Erosion, and Agronomic Performance in Semiarid Rain-Fed Farming in Ethiopia," Land, MDPI, vol. 12(3), pages 1-15, March.
    11. Ruishi Si & Yumeng Yao & Xueqian Zhang & Qian Lu & Noshaba Aziz, 2022. "Exploring the Role of Contiguous Farmland Cultivation and Adoption of No-Tillage Technology in Improving Transferees’ Income Structure: Evidence from China," Land, MDPI, vol. 11(4), pages 1-25, April.
    12. Ai, Pengrui & Ma, Yingjie & Hai, Ying, 2021. "Influence of jujube/cotton intercropping on soil temperature and crop evapotranspiration in an arid area," Agricultural Water Management, Elsevier, vol. 256(C).
    13. Kiani, Mina & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Majidi, Mohammad Mahdi & Karchani, Kazem & Hoogenboom, Gerrit, 2016. "Effect of the interaction of water and nitrogen on sunflower under drip irrigation in an arid region," Agricultural Water Management, Elsevier, vol. 171(C), pages 162-172.
    14. Wang, Siang-Heng & Juang, Jehn-Yih, 2024. "Different management strategies exert distinct influences on microclimate of soil and canopy in tea fields through surface-atmosphere interactions," Agricultural Water Management, Elsevier, vol. 291(C).
    15. Araya, A. & Prasad, P.V.V. & Gowda, P.H. & Afewerk, A. & Abadi, B. & Foster, A.J., 2019. "Modeling irrigation and nitrogen management of wheat in northern Ethiopia," Agricultural Water Management, Elsevier, vol. 216(C), pages 264-272.
    16. Araya, A. & Kisekka, Isaya & Gowda, Prasanna H. & Prasad, P.V. Vara, 2017. "Evaluation of water-limited cropping systems in a semi-arid climate using DSSAT-CSM," Agricultural Systems, Elsevier, vol. 150(C), pages 86-98.
    17. Paredes, P. & Wei, Z. & Liu, Y. & Xu, D. & Xin, Y. & Zhang, B. & Pereira, L.S., 2015. "Performance assessment of the FAO AquaCrop model for soil water, soil evaporation, biomass and yield of soybeans in North China Plain," Agricultural Water Management, Elsevier, vol. 152(C), pages 57-71.
    18. Li, Zhuo Ting & Yang, J.Y. & Drury, C.F. & Hoogenboom, G., 2015. "Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China," Agricultural Systems, Elsevier, vol. 135(C), pages 90-104.
    19. Willy Franz Gouertoumbo & Yousef Alhaj Hamoud & Xiangping Guo & Hiba Shaghaleh & Amar Ali Adam Hamad & Elsayed Elsadek, 2022. "Wheat Straw Burial Enhances the Root Physiology, Productivity, and Water Utilization Efficiency of Rice under Alternative Wetting and Drying Irrigation," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    20. Ouyang, Wei & Qi, Shasha & Hao, Fanghua & Wang, Xuelei & Shan, Yushu & Chen, Siyang, 2013. "Impact of crop patterns and cultivation on carbon sequestration and global warming potential in an agricultural freeze zone," Ecological Modelling, Elsevier, vol. 252(C), pages 228-237.

    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:eee:ecomod:v:466:y:2022:i:c:s030438002200028x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.