IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i6p6684-6705d50169.html
   My bibliography  Save this article

GIS Modelling for Site-Specific Nitrogen Fertilization towards Soil Sustainability

Author

Listed:
  • Antonis Papadopoulos

    (Department of Geography and Regional Planning, National Technical University of Athens, 9, Iroon Polytehniou Str., 157 73 Zografou, Greece)

  • Dionissios Kalivas

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos Str., Votanikos, 118 55 Athens, Greece)

  • Thomas Hatzichristos

    (Department of Geography and Regional Planning, National Technical University of Athens, 9, Iroon Polytehniou Str., 157 73 Zografou, Greece)

Abstract

Farmers need to make decisions that in most cases incorporate the concept of prediction and can hardly be revoked. One such decision is the application of fertilizing inputs. During past crop management and decision-making on fertilizing practices, many significant errors have been recorded, which have led and continue to lead to reduced production and environmental burden. The methodology followed in this paper involves the use of GIS, fuzzy logic and expert knowledge, in order to model physical processes associated with nitrogen balance in cultivated ecosystems and to evaluate the capabilities of or limitations on the use of certain fertilizers, based on spatial criteria. An original spatial decision support system was designed, developed and applied in a given study area. The system is composed of two modules (“fertilizing rate” and “fertilizing type”), making use of soil, climate and cultivation practices’ data, as recorded in the area of interest in quantitative or categorical form. The results of the application spatially classify the involved area according to its demand for nitrogen on the basis of the characteristics of each sub-region. The “fertilizing rate” module suggests reduced fertilizing doses of nitrogenous fertilizers compared to those already applied in the area. The system further divides the area into zones where specific types of fertilizers should be applied, giving a certain prescription for the method and time of application.

Suggested Citation

  • Antonis Papadopoulos & Dionissios Kalivas & Thomas Hatzichristos, 2015. "GIS Modelling for Site-Specific Nitrogen Fertilization towards Soil Sustainability," Sustainability, MDPI, vol. 7(6), pages 1-22, May.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:6:p:6684-6705:d:50169
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/6/6684/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/6/6684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bertrand Hirel & Thierry Tétu & Peter J. Lea & Frédéric Dubois, 2011. "Improving Nitrogen Use Efficiency in Crops for Sustainable Agriculture," Sustainability, MDPI, vol. 3(9), pages 1-34, September.
    2. Antonopoulos, Vassilis Z., 2010. "Modelling of water and nitrogen balances in the ponded water and soil profile of rice fields in Northern Greece," Agricultural Water Management, Elsevier, vol. 98(2), pages 321-330, December.
    3. Li, Yong & White, Robert & Chen, Deli & Zhang, Jiabao & Li, Baoguo & Zhang, Yuming & Huang, Yuanfang & Edis, Robert, 2007. "A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain," Ecological Modelling, Elsevier, vol. 203(3), pages 395-423.
    4. Jeong, Hanseok & Jang, Taeil & Seong, Chounghyun & Park, Seungwoo, 2014. "Assessing nitrogen fertilizer rates and split applications using the DSSAT model for rice irrigated with urban wastewater," Agricultural Water Management, Elsevier, vol. 141(C), pages 1-9.
    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. Hasan Mirzakhaninafchi & Manjeet Singh & Anoop Kumar Dixit & Apoorv Prakash & Shikha Sharda & Jugminder Kaur & Ali Mirzakhani Nafchi, 2022. "Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    2. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    3. Michael Friedrich Tröster, 2023. "Assessing the Value of Organic Fertilizers from the Perspective of EU Farmers," Agriculture, MDPI, vol. 13(5), pages 1-11, May.
    4. Zhang, Hongyuan & Batchelor, William D. & Hu, Kelin & Liang, Hao & Han, Hui & Li, Ji, 2022. "Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China," Ecological Modelling, Elsevier, vol. 470(C).
    5. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    6. Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
    7. Wulder, Michael A. & White, Joanne C. & Coops, Nicholas C. & Nelson, Trisalyn & Boots, Barry, 2007. "Using local spatial autocorrelation to compare outputs from a forest growth model," Ecological Modelling, Elsevier, vol. 209(2), pages 264-276.
    8. Niccolò Pampuro & Christian Preti & Eugenio Cavallo, 2018. "Recycling Pig Slurry Solid Fraction Compost as a Sound Absorber," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    9. Jeong, Hanseok & Adamowski, Jan, 2016. "A system dynamics based socio-hydrological model for agricultural wastewater reuse at the watershed scale," Agricultural Water Management, Elsevier, vol. 171(C), pages 89-107.
    10. Marlena Gołaś & Piotr Sulewski & Adam Wąs & Anna Kłoczko-Gajewska & Kinga Pogodzińska, 2020. "On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    11. Samar Swify & Dovile Avizienyte & Romas Mazeika & Zita Braziene, 2022. "Influence of Modified Urea Compounds to Improve Nitrogen Use Efficiency under Corn Growth System," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    12. Wu, Yang & Wang, Lichun & Bian, Shaofeng & Liu, Zhiming & Wang, Yongjun & Lv, Yanjie & Cao, Yujun & Yao, Fanyun & Li, Chunxia & Wei, Wenwen, 2019. "Evolution of roots to improve water and nitrogen use efficiency in maize elite inbred lines released during different decades in China," Agricultural Water Management, Elsevier, vol. 216(C), pages 44-59.
    13. Tan, Xuezhi & Shao, Dongguo & Gu, Wenquan & Liu, Huanhuan, 2015. "Field analysis of water and nitrogen fate in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 150(C), pages 67-80.
    14. Wang, Xiangping & Liu, Guangming & Yang, Jingsong & Huang, Guanhua & Yao, Rongjiang, 2017. "Evaluating the effects of irrigation water salinity on water movement, crop yield and water use efficiency by means of a coupled hydrologic/crop growth model," Agricultural Water Management, Elsevier, vol. 185(C), pages 13-26.
    15. Zhang, Wei & Liu, Chunyan & Zheng, Xunhua & Zhou, Zaixing & Cui, Feng & Zhu, Bo & Haas, Edwin & Klatt, Steffen & Butterbach-Bahl, Klaus & Kiese, Ralf, 2015. "Comparison of the DNDC, LandscapeDNDC and IAP-N-GAS models for simulating nitrous oxide and nitric oxide emissions from the winter wheat–summer maize rotation system," Agricultural Systems, Elsevier, vol. 140(C), pages 1-10.
    16. Benhamou, Latifa & Giard, Vincent & Khouloud, Mehdi & Fenies, Pierres & Fontane, Frédéric, 2020. "Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization," International Journal of Production Economics, Elsevier, vol. 226(C).
    17. Malik, Wafa & Dechmi, Farida, 2020. "Modelling agricultural nitrogen losses to enhance the environmental sustainability under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 230(C).
    18. Wang, Dan & Mo, Yan & Li, Guangyong & Wilkerson, Carol Jo & Hoogenboom, Gerrit, 2021. "Improving maize production and decreasing nitrogen residue in soil using mulched drip fertigation," Agricultural Water Management, Elsevier, vol. 251(C).
    19. Stanisław Bielski & Kęstutis Romaneckas & Anastasija Novikova & Egidijus Šarauskis, 2019. "Are Higher Input Levels to Triticale Growing Technologies Effective in Biofuel Production System?," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    20. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.

    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:7:y:2015:i:6:p:6684-6705:d:50169. 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.