Abstract
We developed a crop scheduling model for rice cultivation in the Vietnam Mekong Delta (VMD), focusing on the adaptive behavior of crop planning to various water resource constraints. In addition, we also examined the effects of environmental change on rice cultivation in the last decade. In the VMD, multiple rice cropping is practiced under a variety of adverse water conditions, including flooding, salinity intrusion, and irregular monsoon rains. These environmental changes influence the durations of growing seasons and the number of crops per year, resulting in changes in productivity. To validate the performance of the model, we compared model estimates for the heading date and changes in leaf area index at nine sites with estimates of these parameters derived from MODIS satellite time series data for the period 2002–2006. The root mean square errors of heading date between the modeled and satellite data in the upper, middle, and coastal regions of the delta were 17.6, 11.2, and 13.0 days, respectively. Based on the model, we examined case studies to assess the changes in cropping cycles and crop failures in the VMD due to extreme flooding in 2000 and salinity intrusion in 2004 by applying evaluation indices defined by available period for cultivation (APC) and safe margin for cropping (SMC) which is defined as the marginal time between APC and the period required for cultivation. Findings of case studies suggested that a small difference in the SMC of the cropping pattern is critical to the stability and productive capacity of the rice crop.
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References
Aizawa M, Can ND, Hao NV, Kurokura H, Kobayashi K (2009) Changes in rice farmers’ agronomic practices in response to change in hydrological conditions for salinity prevention in the Mekong Delta, Vietnam. Trop Agric Dev 53:33–42
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration —Guidelines for computing crop water requirements. FAO irrigation and drainage paper 56. FAO, Rome, p 300
DHI (2000) NAM Technical reference and model documentation. Danish Hydraulic Institute, Horsholm, p 48
Grattan SR, Zeng L, Shannon MC, Roberts SR (2002) Rice is more sensitive to salinity than previously thought. Calif Agric 56:189–195
GSO General Statistics Office Vietnam (2009) Statistical year book of Vietnam 2008. Statistical publishing house, Hanoi, p 820
Guan S, Nakamura M, Shikanai T, Okazakia T (2009) Resource assignment and scheduling based on a two-phase metaheuristic for cropping system. Comput Electron Agric 66:181–190
Hanasaki N, Kanae S, Oki T, Masuda K, Motoya K, Shirakawa N, Shen Y, Tanaka K (2008) An integrated model for the assessment of global water resources Part 2, Applications and assessments. Hydrol Earth Syst Sci 12:1027–1037
Hoa LTV, Nhan NH, Wolanski E, Cong TT, Haruyama S (2007) The combined impact on the flooding in Vietnam’s Mekong River delta of local man-made structures, sea level rise, and dams upstream in the river catchment. Estuar Coast Shelf Sci 71:110–116
Horie T, Nakagawa H (1990) Modeling and prediction of developmental process in rice I—structure and method of parameter estimation of a model for simulating developmental process toward heading-. Jpn J Crop Sci 59:687–695
Iizumi T, Nishimori M, Yokozawa M, Kotera A, Khang ND (2012) Statistical downscaling with Bayesian inference: estimating global solar radiation from reanalysis and limited observed data. Int J Climatol 32:464–480
Khang ND, Kotera A, Iizumi T, Sakamoto T, Yokozawa M (2010) Variations in water resources in the Vietnamese Mekong Delta in response to climate change and their impacts on rice production. J Agric Meteorol 66:11–21
Kotera A, Nawata E (2007) Role of plant height in the submergence tolerance of rice: a simulation analysis using an empirical model. Agric Water Manag 89:48–58
Kotera A, Nawata E, Chuong PV, Giao NN, Sakuratani T (2004) A model for phenological development of Vietnamese rice influenced by transplanting shock. Plant Prod Sci 7:62–69
Kotera A, Sakamoto T, Nguyen DK, Yokozawa M (2008) Regional consequences of seawater intrusion on rice productivity and land use in coastal area of the Mekong River Delta. Jpn Agric Res Q 42:267–274
Madsen H, Wilson G, Ammentorp HC (2002) Comparison of different automated strategies for calibration of rainfall-runoff models. J Hydrol 261:48–59
MRC (2003) Floods in the lower Mekong basin. State of the Basin Report Executive Summary. Mekong River Commission, Phnom Penh, pp 43–46
Penning de Vries FWT, Jansen DM, ten Berge HFM, Bakema A (1989) Simulation of ecological processes of growth in several annual crops. Pudoc Wageningen and IRRI, Losbanos, p 271
Sakamoto T, Yokozawa M, Toritani H, Shibayama M, Ishitsuka N, Ohno H (2005) A crop phenology detection method using time-series MODIS data. Remote Sens Environ 96:366–374
Sakamoto T, Nhan NV, Ohono H, Ishitsuka N, Yokozawa M (2006) Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers. Remote Sens Environ 100:1–16
Sakamoto T, Nhan NV, Kotera A, Ohno H, Ishitsuka N, Yokozawa M (2007) Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery. Remote Sens Environ 109:295–313
Sakamoto T, Phung CV, Kotera A, Khang ND, Yokozawa M (2009a) Analysis of rapid expansion of inland aquaculture and triple rice-cropping areas in a coastal area of the Vietnamese Mekong Delta using MODIS time-series imagery. Landsc Urban Planning 92:34–46
Sakamoto T, Phung CV, Kotera A, Khang ND, Yokozawa M (2009b) Detection of yearly change in farming systems in the Vietnamese Mekong Delta from MODIS time-series imagery. Jpn Agric Res Q 43:173–185
Sawano S, Hasegawa T, Goto S, Ishigooka Y, Kuwagata T, Toritani H (2008) Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand. Paddy Water Environ 6:83–90
Yin X, Kropff MJ, McLaren G, Visperas RM (1995) A nonlinear model for crop development as a function of temperature. Agric For Meteorol 77:1–16
Yoshida S (1981) Fundamentals of rice crop science. International Rice Research Institute, Losbanos, p 269
Acknowledgments
We thank Dr. Cao Van Phung of the Cuu Long Delta Rice Research Institute, Vietnam, for conducting our field surveys and providing valuable information. This research was supported in part by the Global Environment Research Fund (S-4-2(3)), KAKENHI (19405040), and the Core Research for Evolutional Science and Technology (CREST) program of the Japan Science and Technology Agency (JST).
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Kotera, A., Nguyen, K.D., Sakamoto, T. et al. A modeling approach for assessing rice cropping cycle affected by flooding, salinity intrusion, and monsoon rains in the Mekong Delta, Vietnam. Paddy Water Environ 12, 343–354 (2014). https://doi.org/10.1007/s10333-013-0386-y
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DOI: https://doi.org/10.1007/s10333-013-0386-y