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Chinese Agricultural Science Bulletin ›› 2025, Vol. 41 ›› Issue (32): 102-108.

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Spatial Distribution Pattern and Sampling Technique of Anomala mongolica Adults in Hippophae rhamnoides Garden

LIU Haigang1,2(), XING Qiao1,2, REN Xianghui1, WANG Guiping2, ZHU Xueguang3, ZHANG Xiaoyan3, ZHANG Bodong4, PENG Liying3, LIU Sha2, SONG Zhongxing5, TANG Zhishu5,6, YU Yi2(), CUI Jianxin1()   

  1. 1 Henan Institute of Science and Technology, Xinxiang, Henan 453003
    2 Institute of Plant Protection, Shandong Academy of Agricultural Sciences / Shandong Key Laboratory for Green Prevention and Control of Agricultural Pests, Jinan 250100
    3 Hebei Agricultural University, Baoding, Hebei 071001
    4 College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010010
    5 Shaanxi University of Chinese Medicine, Xianyang, Shaanxi 712083
    6 China Academy of Chinese Medical Sciences, Beijing 100700
  • Received:2025-01-17 Revised:2025-05-12 Online:2025-11-15 Published:2025-11-18

Abstract:

In order to solve the problem of increasing damage and urgent demand for monitoring and control of the adult of Anomala mongolica in Hippophae rhamnoides orchards, this study used field sampling, combined with a variety of aggregation indexes (diffusion coefficient, clumping index, etc.) and distribution models (Iwao m*-m regression method, Taylor's power law, Lα-m regression model and Z-V model), to identify that the spatial distribution pattern of the pest on H. rhamnoides trees was aggregated distribution and conformed to the characteristics of negative binomial distribution. Based on this, the models for the sampling number of adults A. mongolica in H. rhamnoides garden was as follows: T n = n m 0 ± 1.96 n 2 . 420 m 0 + 0.107 m 0 2 ) (Iwao's m*-m model) and fixed sampling number model: To(n)=20n±21.32 n(Lα-m model). The results of this study provide a scientific basis for the establishment of prediction and control technology of A.mongolica in H. rhamnoides orchards in Inner Mongolia Autonomous Region, especially provide sequential sampling technical support for rapid field investigation and accurate prevention and control.

Key words: Hippophae rhamnoides, Anomala mongolica, spatial distribution, aggregation indices, m*-m model, Lα-m model