IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i11p2076-d1283011.html
   My bibliography  Save this article

Risk Assessment of World Corn Salinization Hazard Factors Based on EPIC Model and Information Diffusion

Author

Listed:
  • Degen Lin

    (School of Business, Wenzhou University, Wenzhou 325000, China)

  • Chuanqi Hu

    (Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi’an 710119, China)

  • Fang Lian

    (Integrated Research on Disaster Risk (IRDR) International Programme Office, Beijing 100094, China)

  • Jing’ai Wang

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Academy of Plateau Science Sustainability, The People’s Government of Qinghai Province and Beijing Normal University, Xining 810016, China)

  • Xingli Gu

    (College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China)

  • Yingxian Yu

    (School of Business, Wenzhou University, Wenzhou 325000, China)

Abstract

Salinization is a serious land degradation phenomenon. This study identified the salinity stress threshold as a causal factor for salinization, focusing on global maize fields as the study area. By excluding environmental stressors and setting salinization scenarios, the EPIC model was used to simulate the daily salinity stress threshold during the corn growth process. The global intensity and risk of salinization-induced disaster for maize were evaluated. Based on the principle of information diffusion, the intensity of salinization-induced disaster was calculated for different return periods. The main conclusions were as follows: (1) By excluding environmental stress factors and setting salinization scenarios, algorithms for the salinization index during the growing season and the intensity of salinization-induced disaster were proposed. (2) The salinity hazard factor is highly risky and concentrated in arid and semi-arid regions, while it is relatively low in humid regions. (3) As the recurrence period increases, the risk of salinization-induced hazard becomes higher, the affected area expands, and the risk level increases. (4) The salinization intensity results of this study are consistent with the research results of HWSD (R 2 = 0.9546) and GLASOD (R 2 = 0.9162).

Suggested Citation

  • Degen Lin & Chuanqi Hu & Fang Lian & Jing’ai Wang & Xingli Gu & Yingxian Yu, 2023. "Risk Assessment of World Corn Salinization Hazard Factors Based on EPIC Model and Information Diffusion," Land, MDPI, vol. 12(11), pages 1-19, November.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2076-:d:1283011
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/11/2076/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/11/2076/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
    2. Datta, K. K. & Sharma, V. P. & Sharma, D. P., 1998. "Estimation of a production function for wheat under saline conditions," Agricultural Water Management, Elsevier, vol. 36(1), pages 85-94, February.
    3. Katerji, N. & van Hoorn, J. W. & Hamdy, A. & Mastrorilli, M., 2003. "Salinity effect on crop development and yield, analysis of salt tolerance according to several classification methods," Agricultural Water Management, Elsevier, vol. 62(1), pages 37-66, August.
    4. Mirlas, V., 2012. "Assessing soil salinity hazard in cultivated areas using MODFLOW model and GIS tools: A case study from the Jezre’el Valley, Israel," Agricultural Water Management, Elsevier, vol. 109(C), pages 144-154.
    5. Sija F. Stofberg & Gualbert H. P. Oude Essink & Pieter S. Pauw & Perry G. B. Louw & Anton Leijnse & Sjoerd E. A. T. M. Zee, 2017. "Fresh Water Lens Persistence and Root Zone Salinization Hazard Under Temperate Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(2), pages 689-702, January.
    6. Hao Guo & Xingming Zhang & Fang Lian & Yuan Gao & Degen Lin & Jing’ai Wang, 2016. "Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize," Sustainability, MDPI, vol. 8(8), pages 1-22, August.
    7. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    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. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    2. Wang, Qingming & Huo, Zailin & Zhang, Liudong & Wang, Jianhua & Zhao, Yong, 2016. "Impact of saline water irrigation on water use efficiency and soil salt accumulation for spring maize in arid regions of China," Agricultural Water Management, Elsevier, vol. 163(C), pages 125-138.
    3. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    4. Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
    5. Samuthirapandi Subburaj & Thiyagarajan Thulasinathan & Viswabharathy Sakthivel & Bharathi Ayyenar & Rohit Kambale & Veera Ranjani Rajagopalan & Sudha Manickam & Raghu Rajasekaran & Gopalakrishnan Chel, 2024. "Genetic Enhancement of Blast and Bacterial Leaf Blight Resistance in Rice Variety CO 51 through Marker-Assisted Selection," Agriculture, MDPI, vol. 14(5), pages 1-20, April.
    6. F. Jorge Bornemann & David P. Rowell & Barbara Evans & Dan J. Lapworth & Kamazima Lwiza & David M.J. Macdonald & John H. Marsham & Kindie Tesfaye & Matthew J. Ascott & Celia Way, 2019. "Future changes and uncertainty in decision-relevant measures of East African climate," Climatic Change, Springer, vol. 156(3), pages 365-384, October.
    7. Purola, Tuomo & Lehtonen, Heikki, 2020. "Evaluating profitability of soil-renovation investments under crop rotation constraints in Finland," Agricultural Systems, Elsevier, vol. 180(C).
    8. Nina Repar & Pierrick Jan & Thomas Nemecek & Dunja Dux & Martina Alig Ceesay & Reiner Doluschitz, 2016. "Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms," Sustainability, MDPI, vol. 8(12), pages 1-19, December.
    9. Klara Fischer & Giulia Vico & Helena Röcklinsberg & Hans Liljenström & Riccardo Bommarco, 2025. "Progress towards sustainable agriculture hampered by siloed scientific discourses," Nature Sustainability, Nature, vol. 8(1), pages 66-74, January.
    10. Hampf, Anna C. & Carauta, Marcelo & Latynskiy, Evgeny & Libera, Affonso A.D. & Monteiro, Leonardo & Sentelhas, Paulo & Troost, Christian & Berger, Thomas & Nendel, Claas, 2018. "The biophysical and socio-economic dimension of yield gaps in the southern Amazon – A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 1-13.
    11. Zecca, Francesco & D’Errico, Marco, 2021. "Food security and land use: The Ethiopian case," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 23(2), July.
    12. Cabelguenne, M. & Debaeke, P. & Bouniols, A., 1999. "EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybea," Agricultural Systems, Elsevier, vol. 60(3), pages 175-196, June.
    13. Catarina D. Melo & Cristiana S. A. M. Maduro Dias & Sophie Wallon & Alfredo E. S. Borba & João Madruga & Paulo A. V. Borges & Maria T. Ferreira & Rui B. Elias, 2022. "Influence of Climate Variability and Soil Fertility on the Forage Quality and Productivity in Azorean Pastures," Agriculture, MDPI, vol. 12(3), pages 1-18, March.
    14. A. Badran & Esraa ElSherebeny & Y. Salama, 2015. "Performance of Some Alfalfa Cultivars under Salinity Stress Conditions," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(10), pages 281-281, September.
    15. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    16. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
    17. Rong Ma & Ke Li & Yixin Guo & Bo Zhang & Xueli Zhao & Soeren Linder & ChengHe Guan & Guoqian Chen & Yujie Gan & Jing Meng, 2021. "Mitigation potential of global ammonia emissions and related health impacts in the trade network," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    18. Fritz, Steffen & See, Linda & Bayas, Juan Carlos Laso & Waldner, François & Jacques, Damien & Becker-Reshef, Inbal & Whitcraft, Alyssa & Baruth, Bettina & Bonifacio, Rogerio & Crutchfield, Jim & Rembo, 2019. "A comparison of global agricultural monitoring systems and current gaps," Agricultural Systems, Elsevier, vol. 168(C), pages 258-272.
    19. Mojid, M.A. & Murad, K.F.I. & Tabriz, S.S. & Wyseure, G.C.L., 2013. "An advantageous level of irrigation water salinity for wheat cultivation," Journal of the Bangladesh Agricultural University, Bangladesh Agricultural University Research System (BAURES), vol. 11.
    20. repec:plo:pone00:0203809 is not listed on IDEAS
    21. Anika Reetsch & Kai Schwärzel & Christina Dornack & Shadrack Stephene & Karl-Heinz Feger, 2020. "Optimising Nutrient Cycles to Improve Food Security in Smallholder Farming Families—A Case Study from Banana-Coffee-Based Farming in the Kagera Region, NW Tanzania," Sustainability, MDPI, vol. 12(21), pages 1-34, 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:jlands:v:12:y:2023:i:11:p:2076-:d:1283011. 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.