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Acta Prataculturae Sinica ›› 2015, Vol. 24 ›› Issue (5): 25-33.DOI: 10.11686/cyxb20150504

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Comprehensive evaluation and risk assessment of grasshoppers’habitat based on a projection pursuit model

HUANG Xun-Bing1, WU Hui-Hui1, QIN Xing-Hu1, CAO Guang-Chun1, WANG Guang-Jun1, NONG Xiang-Qun1, TU Xiong-Bing1, Gexigeduren2, HE Bing2, Eerdengbatu2, Wuyahan2, ZHANG Ze-Hua1, *   

  1. 1.State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    2. Grassland Workstation of Xianghuangqi Xilinguolemeng, Xilinguolemeng 013250, China
  • Received:2014-05-22 Online:2015-05-20 Published:2015-05-20

Abstract: There are close and complex relationships between grasshopper occurrence and habitat vegetation. A comprehensive analysis of these relationships will provide a stable foundation for risk assessments of grasshopper infection. Grasshopper population density and 21 vegetation parameters were analyzed in the survey on which this paper is based. A projection pursuit model was developed and verified in order to evaluate the risks of grasshopper infection. Results showed that a low index for plant biomass diversity had the greatest influence on grasshopper density, with the best projection direction a at 0.6725. Poaceae dominance with a high index had the greatest influence on Oedaleus asiaticus density, with the best projection direction a at 0.6547. There was a significant linear relationship (P<0.01) between the projection eigenvalue (Zi) and grasshopper density (y=48.861x-18.937, R=0.9509). The occurrence of grasshoppers can be predicted according to the projection eigenvalue (Zi). The bigger the value of Zi, the higher the risk of grasshopper occurrence. The projection pursuit model can be used to eliminate the effect of irrelevant variables. Its application will play an important role in monitoring and early warning for the ecological management of grasshoppers.