IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v221y2019icp73-83.html
   My bibliography  Save this article

The influence of climate variability, soil and sowing date on simulation-based crop coefficient curves and irrigation water demand

Author

Listed:
  • Seidel, S.J.
  • Barfus, K.
  • Gaiser, T.
  • Nguyen, T.H.
  • Lazarovitch, N.

Abstract

Modern global agriculture depends heavily on irrigation water to maintain crop productivity. The widely used crop evapotranspiration estimation approach (i.e. FAO-56) can be applied to estimate the irrigation water demand of crops under optimal growth conditions by multiplying the reference evapotranspiration with often empirically determined crop-specific crop coefficients (Kc). To improve the transferability of the Kc approach while keeping the Kc concept as a relatively simple and visual tool for irrigation scheduling, a simulation-based approach to estimate site-specific continuous Kc curves was developed. The presented modeling framework consists of the process-based soil–crop–atmosphere system simulation model DAISY calibrated and validated against an extensive field data set and stochastic weather data to consider climate variability. The simulation-based Kc curves were exemplary estimated for common bean (two sowing dates) and white cabbage for several soils at an experimental site in Eastern Germany. The Kc curve ensembles (each 300 growth periods) generated by the modeling framework provided information on the probability of the Kc curves caused by the site-specific climate variability under recent climate conditions. By changing factors while fixing others (soil characteristics, sowing date), the influence of these factors on the Kc curves and the irrigation water requirement were evaluated. We found that the influence of the factors varied between the crops. The two tested common bean sowing dates had an influence on the Kc curves mainly due to varying growth rates and growth durations. The presented Kc curves may support farmers to make accurate in-season but also long-term estimations of the daily irrigation water demand under local conditions. The probability distribution of the curves provides additional information on the variability of the irrigation water demand due to climate variability.

Suggested Citation

  • Seidel, S.J. & Barfus, K. & Gaiser, T. & Nguyen, T.H. & Lazarovitch, N., 2019. "The influence of climate variability, soil and sowing date on simulation-based crop coefficient curves and irrigation water demand," Agricultural Water Management, Elsevier, vol. 221(C), pages 73-83.
    • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:73-83
    DOI: 10.1016/j.agwat.2019.02.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418310072
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.02.007?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. Dzotsi, K.A. & Basso, B. & Jones, J.W., 2013. "Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT," Ecological Modelling, Elsevier, vol. 260(C), pages 62-76.
    2. Seidel, S.J. & Werisch, S. & Schütze, N. & Laber, H., 2017. "Impact of irrigation on plant growth and development of white cabbage," Agricultural Water Management, Elsevier, vol. 187(C), pages 99-111.
    3. Bhantana, Parashuram & Lazarovitch, Naftali, 2010. "Evapotranspiration, crop coefficient and growth of two young pomegranate (Punica granatum L.) varieties under salt stress," Agricultural Water Management, Elsevier, vol. 97(5), pages 715-722, May.
    4. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    5. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
    6. DeJonge, K.C. & Ascough, J.C. & Andales, A.A. & Hansen, N.C. & Garcia, L.A. & Arabi, M., 2012. "Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation," Agricultural Water Management, Elsevier, vol. 115(C), pages 92-103.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Schwaller, Christoph & Keller, Yvonne & Helmreich, Brigitte & Drewes, Jörg E., 2021. "Estimating the agricultural irrigation demand for planning of non-potable water reuse projects," Agricultural Water Management, Elsevier, vol. 244(C).
    2. Gu, Nan & Zhang, Jianyun & Wang, Guoqing & Liu, Cuishan & Wang, Zhenlong & Lü, Haishen, 2022. "An atmospheric and soil thermal-based wheat crop coefficient method using additive crop growth models," Agricultural Water Management, Elsevier, vol. 269(C).
    3. Chen, Shang & He, Liang & Cao, Yinxuan & Wang, Runhong & Wu, Lianhai & Wang, Zhao & Zou, Yufeng & Siddique, Kadambot H.M. & Xiong, Wei & Liu, Manshuang & Feng, Hao & Yu, Qiang & Wang, Xiaoming & He, J, 2021. "Comparisons among four different upscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 258(C).
    4. Li, Shuoyang & Yang, Guiyu & Wang, Hao & Song, Xiufang & Chang, Cui & Du, Jie & Gao, Danyang, 2023. "A spatial-temporal optimal allocation method of irrigation water resources considering groundwater level," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Machakaire, A.T.B. & Steyn, J.M. & Franke, A.C., 2021. "Assessing evapotranspiration and crop coefficients of potato in a semi-arid climate using Eddy Covariance techniques," Agricultural Water Management, Elsevier, vol. 255(C).

    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. Laura Şmuleac & Ciprian Rujescu & Adrian Șmuleac & Florin Imbrea & Isidora Radulov & Dan Manea & Anișoara Ienciu & Tabita Adamov & Raul Pașcalău, 2020. "Impact of Climate Change in the Banat Plain, Western Romania, on the Accessibility of Water for Crop Production in Agriculture," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    2. Paredes, P. & Rodrigues, G.C. & Alves, I. & Pereira, L.S., 2014. "Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies," Agricultural Water Management, Elsevier, vol. 135(C), pages 27-39.
    3. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    4. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.
    5. Elisa Morri & Riccardo Santolini, 2021. "Ecosystem Services Valuation for the Sustainable Land Use Management by Nature-Based Solution (NbS) in the Common Agricultural Policy Actions: A Case Study on the Foglia River Basin (Marche Region, It," Land, MDPI, vol. 11(1), pages 1-23, December.
    6. Liu, Duan & Tang, Runcheng & Xie, Jun & Tian, Jingjing & Shi, Rui & Zhang, Kai, 2020. "Valuation of ecosystem services of rice–fish coculture systems in Ruyuan County, China," Ecosystem Services, Elsevier, vol. 41(C).
    7. Shen Yuan & Shaobing Peng, 2017. "Exploring the Trends in Nitrogen Input and Nitrogen Use Efficiency for Agricultural Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    8. Katarina Arvidsson Segerkvist & Helena Hansson & Ulf Sonesson & Stefan Gunnarsson, 2021. "A Systematic Mapping of Current Literature on Sustainability at Farm-Level in Beef and Lamb Meat Production," Sustainability, MDPI, vol. 13(5), pages 1-14, February.
    9. Vainio, Annukka & Tienhaara, Annika & Haltia, Emmi & Hyvönen, Terho & Pyysiäinen, Jarkko & Pouta, Eija, 2021. "The legitimacy of result-oriented and action-oriented agri-environmental schemes: A comparison of farmers’ and citizens’ perceptions," Land Use Policy, Elsevier, vol. 107(C).
    10. Hualin Xie & Yingqian Huang & Qianru Chen & Yanwei Zhang & Qing Wu, 2019. "Prospects for Agricultural Sustainable Intensification: A Review of Research," Land, MDPI, vol. 8(11), pages 1-27, October.
    11. Smith, Helen F. & Sullivan, Caroline A., 2014. "Ecosystem services within agricultural landscapes—Farmers' perceptions," Ecological Economics, Elsevier, vol. 98(C), pages 72-80.
    12. Aude Ridier & Caroline Roussy & Karim Chaib, 2021. "Adoption of crop diversification by specialized grain farmers in south-western France: evidence from a choice-modelling experiment," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(3), pages 265-283, September.
    13. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    14. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    15. Escarabajal-Henarejos, D. & Fernández-Pacheco, D.G. & Molina-Martínez, J.M. & Martínez-Molina, L. & Ruiz-Canales, A., 2015. "Selection of device to determine temperature gradients for estimating evapotranspiration using energy balance method," Agricultural Water Management, Elsevier, vol. 151(C), pages 136-147.
    16. Diriba Shiferaw G., 2017. "Water-Nutrients Interaction: Exploring the Effects of Water as a Central Role for Availability & Use Efficiency of Nutrients by Shallow Rooted Vegetable Crops - A Review," Journal of Agriculture and Crops, Academic Research Publishing Group, vol. 3(10), pages 78-93, 10-2017.
    17. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    18. Sheng Gong & Jason.S. Bergtold & Elizabeth Yeager, 2021. "Assessing the joint adoption and complementarity between in-field conservation practices of Kansas farmers," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-24, December.
    19. Seufert, Verena & Ramankutty, Navin & Mayerhofer, Tabea, 2017. "What is this thing called organic? – How organic farming is codified in regulations," Food Policy, Elsevier, vol. 68(C), pages 10-20.
    20. Yang, Yanmin & Yang, Yonghui & Han, Shumin & Li, Huilong & Wang, Lu & Ma, Qingtao & Ma, Lexin & Wang, Linna & Hou, Zhenjun & Chen, Li & Liu, De Li, 2023. "Comparison of water-saving potential of fallow and crop change with high water-use winter-wheat – summer-maize rotation," Agricultural Water Management, Elsevier, vol. 289(C).

    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:agiwat:v:221:y:2019:i:c:p:73-83. 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.elsevier.com/locate/agwat .

    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.