Modern approaches in estimation of optimal water use in agroecosystems: Workflow for a case study in Odesa region, Ukraine

References

1. CorobovR., TrombitskyI., MatyginA., OnishchenkoE.
   (2021). Hydropower impact on the Dniester river streamflow. Environmental Earth Sciences, 80(4), 1–12.
   [Google Scholar]
2. EOS
   EOS (2021). Crop monitoring. Earth Observation Systems. Available at: https://eos.com/products/crop-monitoring/
   [Google Scholar]
3. FAO
   FAO (2021). AquaCrop, the crop-water productivity model. Food and Agriculture Organization of the United Nations. Available at: http://www.fao.org/aquacrop/en/
   [Google Scholar]
4. FosterT., BrozovićN., ButlerA.P. et al.
   (2017). AquaCrop-OS: An open source version of FAO’s crop water productivity model. Agricultural Water Management, 181, 18–22.
   [Google Scholar]
5. KovalovaN.V., MedinetsV.I., MedinetsS.V.
   (2021). Peculiarities of Long-Term Changes in Bacterioplankton Numbers in the Dniester Liman. Hydrobiological Journal, 57, 27–36. doi:10.1615/HydrobJ.v57.i1.40
   https://doi.org/10.1615/HydrobJ.v57.i1.40 [Google Scholar]
6. Linker, R., Sylaios, G., Tsakmakis, I. et al.
   (2018). Sub-optimal model-based deficit irrigation scheduling with realistic weather forecasts. Irrigation Science, 36(6), 349–362.
   [Google Scholar]
7. MedinetsS.
   (2014). The Black Sea Nitrogen Budget Revision in Accordance with Recent Atmospheric Deposition Study. Turkish Journal of Fisheries and Aquatic Sciences, 14, 981–992. doi:10.4194/1303‑2712‑v14_4_18
   https://doi.org/10.4194/1303-2712-v14_4_18 [Google Scholar]
8. MedinetsS., GascheR., SkibaU. et al.
   (2016). The impact of management and climate on soil nitric oxide fluxes from arable land in the Southern Ukraine. Atmospheric Environment, 137, 113–126.
   [Google Scholar]
9. MedinetsS., KovalovaN., MedinetsV. et al.
   (2020a). Assessment of riverine loads of nitrogen and phosphorus to the Dniester Estuary and the Black Sea over 2010–2019. In XIV Conference ‘Monitoring of Geological Processes and Ecological Condition of the Environment’ (Nov 2020). doi:10.3997/2214‑4609.202056029
   https://doi.org/10.3997/2214-4609.202056029 [Google Scholar]
10. Medinets, S., Medinets, V.
    (2012). Investigations of atmospheric wet and dry nutrient deposition to marine surface in western part of the Black Sea. Turkish Journal of Fisheries and Aquatic Sciences, 12(5), 497–505.
    [Google Scholar]
11. MedinetsS., MilevaA., KotoguraS. et al.
    (2020b). Rates of atmospheric nitrogen deposition to agricultural and natural lands within the Lower Dniester catchment. In XIV Conference ‘Monitoring of Geological Processes and Ecological Condition of the Environment’ (Nov 2020). doi:10.3997/2214‑4609.202056053
    https://doi.org/10.3997/2214-4609.202056053 [Google Scholar]
12. MedinetsS., WhiteS., CowanN. et al.
    (2021). Impact of climate change on soil nitric oxide and nitrous oxide emissions from typical land uses in Scotland. Environmental Research Letters, 16(5), 055035.
    [Google Scholar]
13. MedinetsV., PavlikT., GazyetovYe
    . et al. (2020c). Use of Landsat Space Images to Assess Wildfire Areas in the Dniester Delta in 2010–2020. In XIV Conference ‘Monitoring of Geological Processes and Ecological Condition of the Environment’ (Nov 2020). doi:10.3997/2214‑4609.202056025
    https://doi.org/10.3997/2214-4609.202056025 [Google Scholar]
14. ORSA
    ORSA (2021). News of Odesa Regional State Administration. Available at: https://oda.odessa.gov.ua/odeshhyna-stane-pilotnym-majdanchykom-u-realizacziyi-programy-vidnovlennya-ta-rozvytku-zroshennya-v-ukrayini/
    [Google Scholar]
15. PareekA., DhankherO.P., FoyerC.H.
    (2020). Mitigating the impact of climate change on plant productivity and ecosystem sustainability. Journal of Experimental Botany, 71, 451–456.
    [Google Scholar]
16. TsakmakisI.D., GikasG.D., SylaiosG.K.
    (2021). Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize. Agricultural Water Management, 255, 106998.
    [Google Scholar]
17. TsakmakisI.D., KokkosN.P., GikasG.D. et al.
    (2019). Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns. Agricultural water management, 213, 419–432.
    [Google Scholar]