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cje ›› 2011, Vol. 30 ›› Issue (07): 1354-1360.

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Structure and diversity of major predatory natural enemies in  rice-duck integrated farming system.

QIN Zhong1,2,3, ZHANG Jia-en1,2,3**, ZHANG Jin1,2,3, LUO Shi-ming1,2,3   

  1. 1Department of Ecology, College of Agriculture, South China Agricultural University, Guangzhou 510642, China;2Key Laboratory of Ecological Agriculture of Ministry of Agriculture of the People’s Republic of China, South China Agricultural University, Guangzhou 510642, China;3Key Laboratory of Agroecology and Rural Environment of Guangdong Regular Higher Education Institutions, South China Agricultural University, Guangzhou 510642, China
  • Online:2011-07-08 Published:2011-07-08

Abstract: A field plot experiment was conducted to study the community structure and species diversity of major predatory natural enemies in a  rice-duck integrated farming system across rice growth season. Three treatments were installed, i.e., rice-duck farming, conventional rice farming, and the control. The dominant species of major predatory natural enemies in the three treatments were all of Araneidae, Erigonidae, Lycosldae and Tetragnathidae, and the dominance indices of Araneidae, Erigonidae and Lycosldae in the rice-duck farming were higher than those in the other two treatments. In rice growth season, the total number of the major predatory natural enemies in the rice-duck farming and conventional rice farming was 14.9% and 1.7% lower than that in the control, respectively, and except in individual observation periods, the diversity index of the main predatory arthropods in the rice-duck farming was lower than those in the other two treatments. The decline of the diversity index of predatory natural enemies was more noticeable at the early stage of introducing ducklings into the experimental plot of the rice-duck farming. With the growth of rice, the diversity index of major predatory natural enemies in the rice-duck farming showed a persistent increasing trend.

Key words: Hydrological model, Precipitation, Spatial distribution