Spatial and Temporal Pattern Assessment of Agricultural Drought Sensitivity and its Potential Impact on Economic Crops in Nakhon Ratchasima, Thailand
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Abstract
Agricultural drought sensitivity (ADS) is highly diverse across regions, primarily due to differences in climate, soil types, and farming practices. Agricultural drought impacts depend on drought intensity, severity, duration and timing relative to crop growth stages. Therefore, spatial and temporal pattern assessments of ADS and its potential impact on economic crops in three scenarios via multicriteria decision-making methods were conducted. As a result, the spatial distributions of the ADS index and its classification at 3 m7, 3 m10 and 6 m10, covering the planting and growing periods, displayed different patterns. The percentages of moderate, high and very high severity levels at 3 m7, 3 m10 and 6 m10 covered 56.06%, 59.14%, and 56.02%, respectively, of the study area. These results suggest that the study area is moderately sensitive to agricultural drought. A high and very high severity level of ADS at the district and subdistrict levels persistently occurred in three periods, with 8 districts and 72 subdistricts; these persistent areas should be intensively monitored for agricultural drought by the Department of Agricultural Extension (DOAE) and the Department of Disaster Prevention and Mitigation (DDPM). In addition, the potential impact areas of ADS with moderate, high, and very high severity levels indicated that ADS has a high potential impact on rice and corn. Nevertheless, it has a moderate effect on cassava and sugarcane. Hence, if drought occurs, rice and sugarcane areas should be prioritized with a field survey on the impact of drought by DOAE and DDPM. This research methodology can be used as a guideline for managing crops via the DOAE and monitoring agricultural drought via the DDPM. The government should establish early warning systems for droughts jointly by government agencies and universities to prevent and mitigate the impact of drought in the future.
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References
AMS (American Meteorological Society). In: Drought — An information statement of the American Meteorological Society. American Meteorological Society, Boston, MA, USA, 2013.
Heim, R.R. A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society, 2002, 83(8), 1149–1165.
Kramer, P.J., Boyer, J.S. Water relations of plants and soils. Academic Press, San Diego, CA, USA, 1995, 495 pp.
IPCC (Intergovernmental Panel on Climate Change). Climate Change 2001: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2001, 1535 pp.
IPCC. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Special Report of Working Groups I and II of the IPCC (CB Field, V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor and P.M. Midgley, eds.), Cambridge and New York, Cambridge University Press, 2012, 582 pp.
Lin, B.B. Resilience in agriculture through crop diversification: adaptive management for environmental change. BioScience, 2011, 61(3), 183-193.
Mishra, A.K., Singh, V.P. A review of drought concepts. Journal of Hydrology, 2010, 391(1-2), 202-216.
Lobell, D.B., Schlenker, W., Costa-Roberts, J. Climate trends and global crop production since 1980. Science, 2011, 333(6042), 616-620.
Hudson, B.D. Soil organic matter and available water capacity. Journal of Soil and Water Conservation, 1994, 49(2), 189-194.
Lal, R. Enhancing crop yields in the developing countries through restoration of the soil organic carbon pool in agricultural lands. Land Degradation & Development, 2006, 17(2), 197-209.
Brady, N.C., Weil, R.R. The Nature and Properties of Soils (14th ed.). Pearson Prentice Hall, 2008, 750 pp.
Daly, C., Neilson, R.P., Phillips, D.L. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology and Climatology, 1994, 33(2), 140-158.
Wilson, J.P., Gallant, J.C. Terrain Analysis: Principles and Applications. John Wiley & Sons, 2000, 516 pp.
Morgan, J.A., LeCain, D.R., Pendall, E., Blumenthal, D.M., Kimball, B.A., Carrillo, Y., Williams, D.G., Heisler-White, J., Dijkstra, F.A., West, M. C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland. Letter Research, Nature, 2011, Vol 476: 202-206.
Jackson, R.B, Randerson, J.T, Canadell, J.G., Anderson, R.G., Avissar, R., Baldocchi, D.D., Bonan, G.B., Caldeira, K., Diffenbaugh, N.S., Field, C.B., Hungate, B.A., Jobbágy, E.G., Kueppers, L.M., Nosetto, M.D. and Pataki, D. E. Protecting climate with forests. Environmental Research Letters, 2008, 3(4), 044006.
Siebert, S., Burke, J., Faures, J. M., Frenken, K., Hoogeveen, J., Döll, P., Portmann, F.T. Groundwater use for irrigation – a global inventory. Hydrology and Earth System Sciences, 2010, 14(10), 1863-1880.
Hao, Z., AghaKouchak, A. A Nonstationary Analysis of Droughts in the United States. Geophysical Research Letters, 2014. 41(11), 4014-4021.
Zhang, L., Nan, Z., Xu, Y., Li, S. Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China. PLoS ONE, 2016, 11(6): e0158394.
You, Q., Fang, N., Liu, L., Yang, W., Zhang. L., Wang, Y. Effects of land use, topography, climate and socio-economic factors on geographical variation pattern of inland surface water quality in China. PLoS ONE, 2019, 14(6): e0217840, https://doi.org/10.1371/journal.pone.0158394.
Smith, J.A., Jones, M.B. Impact of Land Cover Changes on Hydrological Responses and Agricultural Drought Sensitivity. Journal of Hydrology, 2021, 595, 123-134.
Williams, L.R., Taylor, K.D. Interplay Between Land Use and Hydrological Systems: Effects on Drought Conditions. Environmental Research Letters, 2022, 17(4), 045001.
Ayalew, A.D., Wagnera, P.D., Tigabub, T.B., Sahluc, D. and Fohrer, N. Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia. Journal of Water and Climate Change, 2023, 14(8), 2788.
Brown, T.A., Green, S.E. Socio-economic determinants of agricultural drought sensitivity: A Review. Environmental Economics and Policy Studies, 2020, 22(3), 321-335.
Li, H., Zhang, Q., Wu, X. Linking Socio-Economic Factors to Water Quality and Drought Risks: Evidence from China. Water Resources Research, 2021, 57(6), e2020WR028522.
Palmer, W.C. Meteorological Drought. Research Paper. US Department of Commerce, Weather Bureau, 1965, No. 45.
McKee, T.B., Doesken, N.J., Kleist, J. The Relationship of drought frequency and duration to time Scales. Proceedings of the 8th Conference on Applied Climatology, 17–22 January 1993, Anaheim, CA. Boston, MA, American Meteorological Society,1993.
World Bank Group. Thailand economic monitor: Coping with droughts and floods; Building a sustainable future. World Bank, Bangkok, 2023. License: Creative Commons Attribution CC BY 3.0 IGO.
Homdee, T., Pongput, K., Kanae, S. A comparative performance analysis of three standardized climatic drought indices in the Chi River basin, Thailand. Agricultural and Natural Resource, 2016, 50: 211-219.
Punprasit, J. Geographic information system for drought risk area assessment by regression analysis in Lop Buri province. M.Sc. Thesis, Faculty of Graduate Studies, Mahidol University. 2006.
Kogan, F.N. Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data. Bulletin of the American Meteorological Society, 1995, 76(5), 655–668.
WMO (World Meteorological Organization). Standardized Precipitation Index User Guide (WMO-No. 1090), Geneva, 2012:
Vicente-Serrano, S.M., S. Begueria Lopez-Moreno, J.I. A multi-scalar drought index sensitive to global warming: the Standardized Precipitation Evapotranspiration Index. Journal of Climate, 2010, 23:1696–1718.
Pandey, S., Pandey, A.C., Galkate, R.V., Byun, H-R., Mal, B.C. Integrating hydro-meteorological and physiographic factors for assessment of vulnerability to drought. Water Resources Management, 2010, 24, 4199-4217.
Prathumchai, K., Honda, K., Nualchawee, K. Drought risk evaluation using remote sensing and GIS: A case study in Lop Buri Province. In Proceedings of the 22nd Asian Conference on Remote Sensing, 5-9, Singapore. National University of Singapore, Singapore Institute of Surveyors and Valuers, Asian Association on Remote Sensing, 2001.
LDD (Land Development Department). Land use plans, Lamtakhong watershed. Land Office of Soil Survey and Land Use Planning, Land Development Department, 2009, 206 pp.
Shahid, S., Behrawan, H. Drought risk assessment in the western part of Bangladesh. Nat Hazards, 2008, 46: 391-413.
Pei, W., Fu, Q., Liu, D., Li, T., Cheng, K. Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model. Nat Hazards, 2016, 82: 683-701.
Tsangaratos, P., Pizpikis, T., Vasileiou, E., Pliakas, F., Schuth, C., and Kallioras, A. Development of multi-criteria decision support system (DSS) coupled with GIS for identifying optimal locations for soil aquifer treatment (sat) facilities. The Geological Society of Greece, vol. XLVII 2013 Proceedings of the 13th International Congress, Chania, 2013.
Saaty, R.W. The Analytic Hierarchy Process-What it is and how it is used. Math. Modeling, 1987, 9(3-5), 161-176.
Benmouss, K., Laaziri, M., Khoulji, S., Kerkeb, M.L., El Yamami, A. AHP-based Approach for Evaluating Ergonomic Criteria. Procedia Manufacturing, 2019, 32, 856-863.
Eastman, J.R., Kyem, P.A.K., Toledano, J. A Procedure for multi-objective decision making in GIS under conditions of competing objectives. Proceedings, EGIS’93, 1993, 438-447.
Eastman, J.R., Jin, W., Kyem, P.A.K., Toledano, J. Raster procedures for multi-criteria/multi-objective decisions. Photogrammetric Engineering and Remote Sensing, 1995, 61(5), 539-547.
Malczewski, J. On the use of weighted linear combination method in GIS: Common and best practices approaches, Transactions in GIS, 2000, 4(1): 5-22.
Cohen, J. Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum, 1988, 567.