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Changes in rice cropping systems in the Poyang Lake Region, China during 2004–2010

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Abstract

Rice cropping systems not only characterize comprehensive utilization intensity of agricultural resources but also serve as the basis to enhance the provision services of agro-ecosystems. Yet, it is always affected by external factors, like agricultural policies. Since 2004, seven consecutive No.1 Central Documents issued by the Central Government have focused on agricultural development in China. So far, few studies have investigated the effects of these policies on the rice cropping systems. In this study, based upon the long-term field survey information on paddy rice fields, we proposed a method to discriminate the rice cropping systems with Landsat data and quantified the spatial variations of rice cropping systems in the Poyang Lake Region (PLR), China. The results revealed that: (1) from 2004 to 2010, the decrement of paddy rice field was 46.76 km2 due to the land use change. (2) The temporal dynamics of NDVI derived from Landsat historical images could well characterize the temporal development of paddy rice fields. NDVI curves of single cropping rice fields showed one peak, while NDVI curves of double cropping rice fields displayed two peaks annually. NDVI of fallow field fluctuated between 0.15 and 0.40. NDVI of the flooded field during the transplanting period was relatively low, about 0.20±0.05, while NDVI during the period of panicle initiation to heading reached the highest level (above 0.80). Then, several temporal windows were determined based upon the NDVI variations of different rice cropping systems. (3) With the spatial pattern of paddy rice field and the NDVI threshold within optimum temporal windows, the spatial variation of rice cropping systems was very obvious, with an increased multiple cropping index of rice about 20.2% from 2004 to 2010. The result indicates that agricultural policies have greatly enhanced the food provision services in the PLR, China.

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References

  • Bouvet A, Le Toan T, Lam-Dao N, 2009. Monitoring of the rice cropping system in the Mekong Delta using ENVISAT/ASAR dual polarization data. IEEE Transactions on Geoscience and Remote Sensing, 47(2): 517–526.

    Article  Google Scholar 

  • Ding Y, 1961. Cultivation of rice in China. Beijing: China Agriculture Press. (in Chinese)

    Google Scholar 

  • Dobermann A, Witt C, Dawe D et al., 2002. Site-specific nutrient management for intensive rice cropping systems in Asia. Field Crops Research, 74(1): 37–66.

    Article  Google Scholar 

  • FAOSTAT, 2009. Statistical Database of the Food and Agricultural Organization of the United Nations. Rome.

  • Gilbert M, Xiao X M, Chaitaweesub P et al., 2007. Avian influenza, domestic ducks and rice agriculture in Thailand. Agriculture, Ecosystems & Environment, 119(3/4): 409–415.

    Article  Google Scholar 

  • Heerink N, Qu F, Kuiper M et al., 2007. Policy reforms, rice production and sustainable land use in China: A macro-micro analysis. Agricultural Systems, 94(3): 784–800.

    Article  Google Scholar 

  • Huang Y, Sass R L, Fisher J et al., 1998. Model estimates of methane emission from irrigated rice cultivation of China. Global Change Biology, 4(8): 809–821.

    Article  Google Scholar 

  • Li D, Liu M, Cheng Y et al., 2011. Methane emissions from double-rice cropping system under conventional and no tillage in southeast China. Soil and Tillage Research, 113(2): 77–81.

    Article  Google Scholar 

  • Li P, Jiang L, Feng Z et al., 2011. Spatial pattern of food provision in Poyang Lake Region, China. Journal of Natural Resources, 26(2): 190–200. (in Chinese)

    Google Scholar 

  • Liew S C, Kam S P, Tuong T P et al., 1998. Application of multitemporal ERS-2 synthetic aperture radar in delineating rice cropping systems in the Mekong River Delta, Vietnam. IEEE Transactions on Geoscience and Remote Sensing, 36(5): 1412–1420.

    Article  Google Scholar 

  • Liu J Y, Liu M L, Tian H Q et al., 2005. Spatial and temporal patterns of China’s cropland during 1990–2000: An analysis based on Landsat TM data. Remote Sensing of Environment, 98(4): 442–456.

    Article  Google Scholar 

  • Martin V, Pfeiffer D U, Zhou X et al., 2011. Spatial Distribution and Risk Factors of Highly Pathogenic Avian Influenza (HPAI) H5N1 in China. PLoS pathogens, 7(3): e1001308. doi:10.1371/journal.ppat.1001308.

    Article  Google Scholar 

  • National Development and Reform Commission (NDRC), 2009. National plan for expansion of grain production capacity by 50 billion kilograms during 2009–2020. Beijing. http://www.usdachina.org/info_details1.asp?id=2553.

  • Peng D, Huete A R, Huang J et al., 2010. Detection and estimation of mixed paddy rice cropping patterns with MODIS data. International Journal of Applied Earth Observation and Geoinformation, 13(1): 13–23.

    Article  Google Scholar 

  • Sakamoto T, Van Nguyen N, Ohno H et al., 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 Sensing of Environment, 100(1): 1–16.

    Article  Google Scholar 

  • Sakamoto T, Van Phung C, Kotera A et al., 2009. 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. Landscape and Urban Planning, 92(1): 34–46.

    Article  Google Scholar 

  • Silva L M M, Rodrigues C D F, 2001. New development in rice cropping systems and its effects on yield: A short appointment of the Portuguese situation. In: Chataigner J (ed.). Workshop on the New Development in Rice Agronomy and Its Effects on Yield and Quality in Mediterranean Areas, Montpellier: CIHEAM-IAMM, 1–5.

    Google Scholar 

  • Tong C, Hall C A S, Wang H, 2003. Land use change in rice, wheat and maize production in China (1961–1998). Agriculture, Ecosystems & Environment, 95(2/3): 523–536.

    Article  Google Scholar 

  • Torbick N, Salas W, Hagen S et al., 2011a. Monitoring rice agriculture in the Sacramento Valley, USA, with multi-temporal PALSAR and MODIS imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 4(2): 451–457.

    Article  Google Scholar 

  • Torbick N, Salas W, Xiao X et al., 2011b. Integrating SAR and optical imagery for regional mapping of paddy rice attributes in the Poyang Lake watershed, China. Canadian Journal of Remote Sensing, 37(1): 17–26.

    Article  Google Scholar 

  • Tucker C J, 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2): 127–150.

    Article  Google Scholar 

  • Van Niel T G, McVicar T R, 2003. A simple method to improve field-level rice identification: Toward operational monitoring with satellite remote sensing. Australian Journal of Experimental Agriculture, 43(4): 379–387.

    Article  Google Scholar 

  • Van Niel T G, McVicar T R, 2004. Determining temporal windows for crop discrimination with remote sensing: A case study in south-eastern Australia. Computers and Electronics in Agriculture, 45(1–3): 91–108.

    Article  Google Scholar 

  • Xiao X, Boles S, Frolking S et al., 2002a. Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data. International Journal of Remote Sensing, 23(15): 3009–3022.

    Article  Google Scholar 

  • Xiao X, Boles S, Frolking S et al., 2002b. Landscape-scale characterization of cropland in China using VEGETATION sensor data and Landsat TM imagery. International Journal of Remote Sensing, 23(18): 3579–3594.

    Article  Google Scholar 

  • Xiao X, Boles S, Frolking S et al., 2006. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sensing of Environment, 100(1): 95–113.

    Article  Google Scholar 

  • Xiao X, Boles S, Liu J et al., 2005. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment, 95(4): 480–492.

    Article  Google Scholar 

  • Xiao X, He L, Salas W et al., 2002. Quantitative relationships between field-measured leaf area index of paddy rice fields and VEGETATION-sensor-derived vegetation index at the farm scale. International Journal of Remote Sensing, 23(18): 3595–3604.

    Article  Google Scholar 

  • Yang H, Li X B, 2000. Cultivated land and food supply in China. Land Use Policy, 17(2): 73–88.

    Article  Google Scholar 

  • Yu J, Zhang W, Wang D, 2011. The temporal and spatial evaluation on China’s agricultural policy output since 1978. Journal of Geographical Sciences, 21(3): 475–488.

    Article  Google Scholar 

  • Zhang J, Feng Z M, Yang Y Z, 2006. Current grain yield reduction at different spatial scales in China. Resources Science, 28(6): 28–32. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Luguang Jiang.

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Foundation: National Basic Research Program of China (973 Program), No.2009CB421106; National Natural Science Foundation of China, No.40901285

Author: Li Peng (1984–), Ph.D Candidate, specialized in land-water resources sustainable utilization and remote sensing.

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Li, P., Feng, Z., Jiang, L. et al. Changes in rice cropping systems in the Poyang Lake Region, China during 2004–2010. J. Geogr. Sci. 22, 653–668 (2012). https://doi.org/10.1007/s11442-012-0954-x

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  • DOI: https://doi.org/10.1007/s11442-012-0954-x

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