Agricultural drought characterization for sugarcane management in Thailand
Main Article Content
Abstract
One of the main factors affecting sugarcane production in Thailand is drought hazard due to reliance on rainfed irrigation. Sugarcane agricultural drought was studied over four regions of dense cane areas from 1990 to 2020 to help inform appropriate policies and practices for mitigating future damages. The research aimed to assess agricultural drought variability of 15 locations throughout the mainland Thailand during the three decades. Actual evapotranspiration (ETa) was used as an indicator and then transformed into the standardized ETa index (SEaI12) over a 12-month timescale, as the sugarcane crop cycle in Thailand is approximately 12 months. For the last decade, the SEaI12 series of each location was correlated with sugarcane yield, sweetness (CCS), and Nino 3.4 resulting in very good, poor, and fair, respectively. All SEaI12 time series were quantified for drought event time series using the run theory. The severity of drought was characterized by duration and deficit, and since they were closely related, only duration was explored. All evaluation processes from ETa to SEaI12 to drought characteristics were cautiously performed in detail. Drought characterizations were demonstrated in two conditions: (i) spatial distribution of the longest drought from each location; (ii) comparison of distribution and frequency of droughts among the three decades. The highest value of the longest drought is located at the highest latitude and decreases towards the lower latitudes. Among the three decades, the 1990s, an El Nino dominated decade, showed highest accumulated drought and frequency values and the 2000s, a La Nina dominated decade, gave the lowest values.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Doner RF, Ramsay A. Growing into trouble: institutions and politics in the Thai sugar industry. J East Asian Stud. 2004;4(1):97-138.
Manivong P, Bourgois E. Thai sugarcane sector and sustainability. Bangkok: FairAgora Asia; 2017.
Khumla N, Sakuanrungsirikul S, Punpee P, Hamarn T, Chaisan T, Soulard L, et al. Sugarcane breeding, germplasm development and supporting genetics research in Thailand. Sugar Tech. 2022;24(1):193-209.
Ha TV, Uereyen S, Kuenzer C. Agricultural drought conditions over mainland Southeast Asia: spatiotemporal characteristics revealed from MODIS-based vegetation time-series. Int J Appl Earth Obs Geoinf. 2023;121:103378.
Tanguy M, Eastman M, Magee E, Barker LJ, Chitson T, Ekkawatpanit C, et al. Indicator-to-impact links to help improve agricultural drought preparedness in Thailand. Nat Hazards Earth Syst Sci. 2023;23(7):2419-41.
Khadka D, Babel MS, Shrestha S, Virdis SGP, Collins M. Multivariate and multi-temporal analysis of meteorological drought in the northeast of Thailand. Weather Clim Extrem. 2021;34:100399.
Pandey S, Bhandari H, Ding S, Prapertchob P, Sharan R, Naik D, et al. Coping with drought in rice farming in Asia: insights from a cross-country comparative study. Agric Econ. 2007;37:213-24.
Prabnakorn S, Ruangpan L, Tangdamrongsub N, Suryadi FX, de Fraiture C. Improving flood and drought management in agricultural river basins: an application to the Mun River Basin in Thailand. Water Policy. 2021;23(5):1153-69.
Wongkhunkaew P, Konyai S, Sriboonlue V. National yield reference for sugarcane management: Thailand case study. Asia Pac J Sci Technol. 2024;29(5):1-9.
Tippayawat A, Jogloy S, Vorasoot N, Songsri P, Kimbeng CA, Jifon JL, et al. Differential physiological responses to different drought durations among a diverse set of sugarcane genotypes. Agronomy. 2023;13(10):2594.
Bloomberg News. Drought to cut sugar output by almost 20%. Bangkok Post [Internet]. 2023 Sep 7 [cited 2024 Sep 15]. Available from: https://www.bangkokpost.com/business/general/2643205/drought-to-cut-sugar-output-by-almost-20-.
Liu C, Yang C, Yang Q, Wang J. Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China. Sci Rep. 2021;11(1):1280.
Homdee T, Pongput K, Kanae S. A comparative performance analysis of three standardized climatic drought indices in the Chi River basin, Thailand. Agric Nat Resour. 2016;50(3):211-9.
Łabędzki L, Kanecka-Geszke E. Standardized evapotranspiration as an agricultural drought index. Irrig Drain. 2009;58(5):607-16.
Kim D, Rhee J. A drought index based on actual evapotranspiration from the Bouchet hypothesis. Geophys Res Lett. 2016;43(19):10277-85.
Jarumaneeroj P, Laosareewatthanakul N, Akkerman R. A multi-objective approach to sugarcane harvest planning in Thailand: balancing output maximization, grower equity, and supply chain efficiency. Comput Ind Eng. 2021;154:107129.
Dingre SK, Gorantiwar SD. Soil moisture based deficit irrigation management for sugarcane (Saccharum officinarum L.) in semiarid environment. Agric Water Manag. 2021;245:106549.
Li M, Yang Y, Wang P, Ji D, Liao H. Impacts of strong El Niño on summertime near-surface ozone over China. Atmos Ocean Sci Lett. 2022;15(4):100193.
Guo D, Westra S, Maier HR. An R package for modelling actual, potential and reference evapotranspiration. Environ Model Softw. 2016;78:216-24.
Ohba K, Ponsana P. Evapotranspiration in the Northeast District of Thailand as estimated by Morton method. J Agric Meteorol. 1987;42(4):329-36.
Chaibandit K, Srison W, Muangthong S. Assessment actual evapotranspiration with R program. E3S Web Conf. 2020;187:06001.
AghaKouchak A. A baseline probabilistic drought forecasting framework using standardized soil moisture index: application to the 2012 United States drought. Hydrol Earth Syst Sci. 2014;18:2485-92.
Makkonen L, Pajari M, Tikanmaki M. Discussion on "Plotting positions for fitting distributions and extreme value analysis". Canadian J Civ Eng. 2013;40(9):927-9.
Wu R, Zhang J, Bao Y, Guo E. Run theory and copula-based drought risk analysis for Songnen grassland in Northeastern China. Sustainability. 2019;11(21):6032.
McKee TB, Doesken NJ, Kleist J. The relationship of drought frequency and duration to time scales. The 8th Conference on Applied Climatology; 1993 Jan 17-22; Anaheim, United States. p. 179-84.
Van Loon AF. Hydrological drought explained. WIREs Water. 2015;2(4):359-92.
Moccia B, Mineo C, Ridolfi E, Russo F, Napolitano F. SPI-based drought classification in Italy: influence of different probability distribution functions. Water. 2022;14(22):3668.
Dong J, Akbar R, Short Gianotti DJ, Feldman AF, Crow WT, Entekhabi D. Can surface soil moisture information identify evapotranspiration regime transitions?. Geophys Res Lett. 2022;49(7):e2021GL097697.
Hsu H, Dirmeyer PA. Soil moisture-evaporation coupling shifts into new gears under increasing CO2. Nat Commun. 2023;14(1):1162.
Watanabe K, Thienyaem T, Poniyom K, Saensupo S, Sriroth K, Jaiphong T. Effects of fertilizer application depth on the above- and belowground growth of sugarcane under different water regimes and machinery performance. Sugar Tech. 2023;25(5):1092-101.