IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1527-d736711.html
   My bibliography  Save this article

Effect of Snow Cover on Spring Soil Moisture Content in Key Agricultural Areas of Northeast China

Author

Listed:
  • Mingxi Pan

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China
    Mohe Meteorological Bureau, Mohe 165300, China)

  • Fang Zhao

    (Harbin Meteorological Bureau, Harbin 150036, China
    Heilongjiang Province Institute of Meteorological Sciences, Harbin 150036, China)

  • Jingyan Ma

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Lijuan Zhang

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China)

  • Jinping Qu

    (Tieli Meteorological Bureau, Tieli 152500, China)

  • Liling Xu

    (Mohe Meteorological Bureau, Mohe 165300, China)

  • Yao Li

    (Daxing’anling District Meteorological Bureau, Daxing’anling 165000, China)

Abstract

As an important source of soil moisture content during spring in high-latitude areas, snow cover affects the occurrence of spring drought and crop yield and quality. There has not been sufficient research on the effect of winter snow cover on spring soil moisture content. This paper focuses on the main agricultural areas of Northeast China—the Songnen Plain and the Sanjiang Plain. Using meteorological data of both spring soil moisture content and snow cover at 19 agricultural meteorological stations from 1983 to 2019, the effect of snow cover on spring soil moisture content in the Sanjiang Plain and Songnen Plain is studied by variance analysis, spatial analysis, and correlation analysis. The results show that: (1) Compared to the Sanjiang Plain, the Songnen Plain has a significantly lower content of soil moisture at the surface (0–10 cm) and deep layer (10–20 cm, 20–30 cm) during the entire spring and every month of spring ( p < 0.05), and a greater interannual variation of soil moisture. (2) Snow cover has a significant effect on spring soil moisture in the Songnen Plain, but not as much as one in the Sanjiang Plain. For the Songnen Plain, snow-cover duration and the snow-cover onset date has a lasting influence on spring soil moisture until May, which can extend to as deep as 20–30 cm. As months go by, its influence on shallow-layer soil gradually wears off. Maximum snow depth and the snow-cover end date only influence the April surface soil. (3) Snow cover has a strong effect on soil moisture conservation in more arid areas. Delayed snow-cover onset date, earlier snow-cover end date, and significantly shortened snow-cover duration all contribute to a spring drought soil condition in the Songnen Plain.

Suggested Citation

  • Mingxi Pan & Fang Zhao & Jingyan Ma & Lijuan Zhang & Jinping Qu & Liling Xu & Yao Li, 2022. "Effect of Snow Cover on Spring Soil Moisture Content in Key Agricultural Areas of Northeast China," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1527-:d:736711
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1527/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1527/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. T. P. Barnett & J. C. Adam & D. P. Lettenmaier, 2005. "Potential impacts of a warming climate on water availability in snow-dominated regions," Nature, Nature, vol. 438(7066), pages 303-309, November.
    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. Molini, A. & Talkner, P. & Katul, G.G. & Porporato, A., 2011. "First passage time statistics of Brownian motion with purely time dependent drift and diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 1841-1852.
    2. Xiuchen Wu & Hongyan Liu & Dali Guo & Oleg A Anenkhonov & Natalya K Badmaeva & Denis V Sandanov, 2012. "Growth Decline Linked to Warming-Induced Water Limitation in Hemi-Boreal Forests," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
    3. Hengzhou Xu & Chuanrong Zhang & Weidong Li & Wenjing Zhang & Hongchun Yin, 2018. "Economic growth and carbon emission in China:a spatial econometric Kuznets curve?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 11-28.
    4. S . K. Oni & F. Mieres & M. N. Futter & H. Laudon, 2017. "Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest," Climatic Change, Springer, vol. 143(1), pages 27-41, July.
    5. Dalei Hao & Gautam Bisht & Hailong Wang & Donghui Xu & Huilin Huang & Yun Qian & L. Ruby Leung, 2023. "A cleaner snow future mitigates Northern Hemisphere snowpack loss from warming," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Diana R. Gergel & Bart Nijssen & John T. Abatzoglou & Dennis P. Lettenmaier & Matt R. Stumbaugh, 2017. "Effects of climate change on snowpack and fire potential in the western USA," Climatic Change, Springer, vol. 141(2), pages 287-299, March.
    7. Alvaro Calzadilla & Katrin Rehdanz & Richard Betts & Pete Falloon & Andy Wiltshire & Richard Tol, 2013. "Climate change impacts on global agriculture," Climatic Change, Springer, vol. 120(1), pages 357-374, September.
    8. Leiwen Jiang & Karen Hardee, 2011. "How do Recent Population Trends Matter to Climate Change?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 287-312, April.
    9. Schaefli, Bettina & Manso, Pedro & Fischer, Mauro & Huss, Matthias & Farinotti, Daniel, 2017. "The role of glacier retreat for Swiss hydropower production," Earth Arxiv 7z96d, Center for Open Science.
    10. Haiyan Fang & Zemeng Fan, 2021. "Impacts of climate and land use changes on water and sediment yields for the black soil region, northeastern China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6259-6278, April.
    11. Hanjra, Munir A. & Qureshi, M. Ejaz, 2010. "Global water crisis and future food security in an era of climate change," Food Policy, Elsevier, vol. 35(5), pages 365-377, October.
    12. Chen, Zi-yue & Huang, Zhen-hai & Nie, Pu-yan, 2018. "Industrial characteristics and consumption efficiency from a nexus perspective – Based on Anhui’s Empirical Statistics," Energy Policy, Elsevier, vol. 115(C), pages 281-290.
    13. R. R. McCrary & L. O. Mearns & M. R. Abel & S. Biner & M. S. Bukovsky, 2022. "Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution," Climatic Change, Springer, vol. 170(3), pages 1-25, February.
    14. Donna, Javier & Espin-Sanchez, Jose, 2014. "The Illiquidity of Water Markets," MPRA Paper 55078, University Library of Munich, Germany.
    15. Xiaofeng Ren & Erwen Xu & C. Ken Smith & Michael Vrahnakis & Wenmao Jing & Weijun Zhao & Rongxin Wang & Xin Jia & Chunming Yan & Ruiming Liu, 2024. "Changes in Surface Runoff and Temporal Dispersion in a Restored Montane Watershed on the Qinghai–Tibetan Plateau," Land, MDPI, vol. 13(5), pages 1-22, April.
    16. Donna, Javier D. & Espin-Sanchez, Jose, 2018. "Are Water Markets Liquid? Evidence from Southeastern Spain," MPRA Paper 117032, University Library of Munich, Germany.
    17. Wu, Hao & Xu, Min & Peng, Zhuoyue & Chen, Xiaoping, 2022. "Quantifying the potential impacts of meltwater on cotton yields in the Tarim River Basin, Central Asia," Agricultural Water Management, Elsevier, vol. 269(C).
    18. Shakil Ahmad Romshoo & Jasia Bashir & Irfan Rashid, 2020. "Twenty-first century-end climate scenario of Jammu and Kashmir Himalaya, India, using ensemble climate models," Climatic Change, Springer, vol. 162(3), pages 1473-1491, October.
    19. Muhammad Arfan & Jewell Lund & Daniyal Hassan & Maaz Saleem & Aftab Ahmad, 2019. "Assessment of Spatial and Temporal Flow Variability of the Indus River," Resources, MDPI, vol. 8(2), pages 1-17, May.
    20. Erickson, Adam & Nitschke, Craig & Coops, Nicholas & Cumming, Steven & Stenhouse, Gordon, 2015. "Past-century decline in forest regeneration potential across a latitudinal and elevational gradient in Canada," Ecological Modelling, Elsevier, vol. 313(C), pages 94-102.

    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:jsusta:v:14:y:2022:i:3:p:1527-:d:736711. 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.