| Research Articles |
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| Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China |
| Rui LI1*, Atsushi TSUNEKAWA2, Mitsuru TSUBO2 |
1 United Graduate School of Agricultural Sciences, Koyama-Minami 4-101, Tottori University, Tottori 680-8553, Japan;
2 Arid Land Research Center, Tottori University, Hamasaka 1390, Tottori 680-0001, Japan |
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Abstract Agricultural drought is a type of natural disaster that seriously impacts food security. Because the relationships among short-term rainfall, soil moisture, and crop growth are complex, accurate identification of a drought situation is difficult. In this study, using a conceptual model based on the relationship between water deficit and crop yield reduction, we evaluated the drought process in a typical rainfed agricultural region, Hailar county in Inner Mongolia autonomous region, China. To quantify drought, we used the precipitation-based Standardized Precipitation Index (SPI), the soil moisture-based Crop Moisture Index (CMI), as well as the Normalized Difference Vegetation Index (NDVI). Correlation analysis was conducted to examine the relationships between dekad-scale drought indices during the growing season (May–September) and final yield, according to data collection from 2000 to 2010. The results show that crop yield has positive relationships with CMI from mid-June to mid-July and with the NDVI anomaly throughout July, but no correlation with SPI. Further analysis of the relationship between the two drought indices shows that the NDVI anomaly responds to CMI with a lag of 1 dekad, particularly in July. To examine the feasibility of employing these indices for monitoring the drought process at a dekad time scale, a detailed drought assessment was carried out for selected drought years. The results confirm that the soil moisture-based vegetation indices in the late vegetative to early reproductive growth stages can be used to detect agricultural drought in the study area. Therefore, the framework of the conceptual model developed for drought monitoring can be employed to support drought mitigation in the rainfed agricultural region of Northern China.
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Received: 10 December 2012
Published: 10 February 2014
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| Fund: This research was supported by the Global Center of Excellence Project for Dryland Science of the Ministry of Education, Culture, Sports, Science and Technology of Japan. |
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Corresponding Authors:
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| Allen R G, Pereira L S, Raes D, et al. 1998. Crop evapotranspiration: guidelines for computing crop water requirements. Rome, Italy: FAO Irrigation and Drainage Paper, 56: 23–28, 106.Bayarjargal Y, Karnieli A, Bayasgalan M, et al. 2006. A comparative study of NOAA-AVHRR derived drought indices using change vector analysis. Remote Sensing Environment, 105(1): 9–22.Brown, J F, Wardlow B D, Tadesse T, et al. 2008. The Vegetation Drought Response Index (VegDRI): a new integrated approach for monitoring drought stress in vegetation. GIScience and Remote Sensing, 45(1): 16–46.Cai J, Liu Y, Lei T, et al. 2007. Estimating reference evapotranspiration with the FAO Penman–Monteith equation using daily weather fore-cast messages. Agricultural and Forest Meteorology, 145: 22–35.Deng K M, Sun J L, Chen P F, et al. 2011. Estimation of spring wheat yield by remote sensing information from China’s environmental disaster mitigation satellite-taking Chen Barag Banner of Inner Mongolia as an example. Journal of Natural Resources, 26(11): 1942–1952.Dominic S, Derric R. 2002. Schaum’s Outline of Theory and Problems of Statistics and Econometrics. New York: McGraw-Hill Companies, Inc.Donald A W. 1994. Preparing for Drought: A Guidebook for Developing Countries. Pennsylvania: Diane Books Publishing Company, 7–8.Duan H, Yan C, Tsunekwawa A, et al. 2011. Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data. Environmental Earth Sciences, 64(4): 1011–1020.Gu Y X, Hunt E, Wardlow B, et al. 2008. Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data. Geophysical Research Letters, 35: L22401.Heim R R. 2002. A review of twentieth century drought indices used in the United States. Bulletin of the American Meteorological Society, 83(8): 1149–1165.Heinrich H W, Petersen D, Roos N. 1980. Industrial Accident Prevention: A Safety Management Approach. New York: McGraw-Hill, 468.Hirota O, Oka M, Takeda T. 1990. Sink activity estimation by sink size and dry matter increase during the ripening stage of barley (Hordeum vulgare) and rice (Oryza sativa). Annals of Botany, 65: 349–354.Holben B N. 1986. Characteristics of maximum-value composite images for temporal AVHRR data. International Journal of Remote Sensing, 7: 1435–1445.Huete A, Justice C, van Leeuwen W. 1999. MODIS Vegetation Index (MOD13) Algorithm Theoretical Basis Document. Tucson: University of Arizona.Huete A, Didan K, Miura T, et al. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1–2): 195–213.Ji L, Peters A. 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment, 87(1): 85–89.Jin H J, Li S X, Cheng G D, et al. 2000. Permafrost and climatic change in China. Global and Planetary Change, 26: 387–404.Jordan C F, 1969. Deviation of leaf area index from quality of light on the forest floor. Ecology, 50: 663–666.Karl T R. 1986. The sensitivity of the Palmer Drought Severity Index and Palmer’s Z-Index to their calibration coefficients including potential evapotranspiration. Journal of Applied Meteorology, 25: 77–86.Kogan F, Sullivan J. 1993. Development of global drought-water system using NOAA/AVHRR data. Advances in Space Research, 13(5): 219–222.Kogan F. 1994. NOAA plays leadership role in developing satellite technology for drought watch. Earth Observation Magazine: 18–21.Kogan F. 1997. Global drought watch from space. Bulletin of the American Meteorological Society, 78: 621–636.Li F X, Wang L X, Liu J, et al. 2003. Study on water requirement and the moisture index of spring wheat in irrigated areas of Ningxia. Chinese Journal of Eco-agriculture, 11(4): 108–110.Li P J, Mi D S. 1983. Distribution of snow cover in China. Journal of Glaciology and Cryopendology, 5(4): 9–17.Liu M L, Tang X M, Liu J Y, et al. 2001.Research on scaling effect based on 1 km grid cell data. Journal of Remote Sensing, 5(3): 183–190.Ma Z G, Fu C B. 2006. Some evidence of drying trend over northern China from 1951 to 2004. Chinese Science Bulletin, 51(23): 2913–2925.McKee T B, Doesken N J, Kleist J. 1993. The relation of drought frequency and duration to time scales. In: Proceedings of the Eighth Conference on Applied Climatology. Boston: American Meteorological Society, 179–184.McKee T B, Doesken N J, Kleist J. 1995. Drought monitoring with multiple time scales. In: Proceedings of the Ninth Conference on Applied Climatology. Boston: American Meteorological Society, 233–236.Miller T D. 1999. Growth stages of wheat: identification and understanding improve crop management. Texas Agricultural Extension Service, the Texas A&M University system, SCS-1999-16. http:// varietytesting.tamu.edu/wheat/docs/mime-5.pdf.Mkhabela M S, Bullock P, Raj S, et al. 2011. Crop yield forecasting on the Canadian prairies using MODIS NDVI data. Agricultural and Forest Meteorology, 151(3): 385–393.Nicholson S E, Farrar T J. 1994. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semi-arid Botswana. I. NDVI response to rainfall. Remote Sensing of Environment, 50(2): 107–120.Palmer W C. 1965. Meteorological Drought. US Weather Bureau Research Paper No. 28.Palmer W C. 1968. Keeping track of crop moisture conditions, nationwide: the new crop moisture index. Weatherwise, 21: 156–161.Quiring S M. 2009. Developing objective operational definitions for monitoring drought. Journal of Applied Meteorology and Climatology, 48(6): 1217–1229.Quiring S M, Ganesh S. 2010. Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas. Agricultural and Forest Meteorology, 150(3): 330–339.Rouse J W, Hass R H, Schell J A, et al. 1974. Monitoring vegetation systems in the Great Plains with ERTS. In: The Third Earth Resources Technology Satellite-1 Symposium, Greenbelt, MD, 309–317.Shen J G. 2008. Chinese Meterological Disasters Dictionary: Inner Mongolia volume. Beijing: China Meteorological Press, 8Shu B R, Liu Y Z, Lu X P, et al. 2008. Application of the theory of energy analysis to the sustainability assessment of cultivated lands: a case study of Nanjing. Journal of Natural Resources, 23(5): 876–885.Svoboda M. 2000. An introduction to the drought monitor. Drought Network News, 12: 15–20.Tannehill I R. 1947. Drought: Its Causes and Effects. Princeton: Princeton University Press, 264.Thornthwaite C W. 1948. An approach toward a rational classification of climate. Geographical Review, 38(1): 55–94.United Nations Convention to Combat Desertification (UNCCD). 1994. Intergovernmental Negotiating Committee for the Elaboration of an International Convention to Combat Desertification in Those Countries Experiencing Serious Drought and/or Desertification, Particularly in Africa. General Assembly: 5. http://www.unccd.int/en/about-the-convention/Pages/About-the-Convention.aspx.Wang J, Price K P, Rich P M. 2001. Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains. International Journal of Remote Sensing, 22: 3827–3844.Wang X P, Zhao H Y. 2006. The Climate Resource and Zoning of Forestry, Animal Husbandry and Fishery in Hulunbeier Municipality of Inner Mongolia. Beijing: China Meteorological Press, 111–112, 145–148.World Meteorological Organization (WMO). 1975. Drought and Agriculture. WMO Note 138, Publ. WMO-392, Geneva, Switzerland, 127.Zarafshani K, Sharafi L, Azadi H, et al. 2012. Drought vulnerability assessment: the case of wheat farmers in western Iran. Global and Planetary Change, 98–99: 122–130.Zhang C F, Wang D H, Qiu B J. 1987. Agricultural Phenology Atlas in China. Beijing: Science Press, 26–31, 50–53, 88–90.Zhang J Q. 2004. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China. Agriculture, Ecosystems and Environment, 102(2): 133–153.Zhou H J, Rompaey A V, Wang J A. 2009. Detecting the impact of the ‘Grain for Green’ program on the mean annual vegetation cover in the Shaanxi province, China using SPOT-VGT NDVI data. Land Use Policy, 26(4): 954–960.Zipporah M. 2011. Temporal relationships between remotely sensed soil moisture and NDVI over Africa: potential for drought early warning? MSc Thesis. Enschede: University of Twente, 30. |
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