昆虫学报 ›› 2023, Vol. 66 ›› Issue (2): 255-266.doi: 10.16380/j.kcxb.2023.02.015

• 综 述 • 上一篇    下一篇

运用年龄-龄期两性生命表模拟昆虫种群动态及其在害虫治理中的应用

史梦竹1, 傅建炜1, 李建宇2, 齐心3, 尤民生3,*   

  1. (1. 福建省农业科学院农业质量标准与检测技术研究所, 福建省农产品质量安全重点实验室, 福州 350001; 2. 福建省农业科学院植物保护研究所, 福建省作物有害生物监测与治理重点实验室, 福州 350013; 3. 福建农林大学应用生态研究所, 闽台作物有害生物生态防控国家重点实验室, 福州 350002)
  • 出版日期:2023-02-20 发布日期:2023-04-07

Projection of insect population dynamics with age-stage, two-sex life table and its application in pest management

SHI Meng-Zhu1, FU Jian-Wei1, LI Jian-Yu2, CHI Hsin3, YOU Min-Sheng3,*   

  1.  (1. Fujian Key Laboratory of Agroproducts Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Fujian Academy of Agricultural Sciences, Fuzhou 350001, China; 2. Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Fujian Engineering Research Center for Green Pest Management, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China; 3. State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China)
  • Online:2023-02-20 Published:2023-04-07

摘要: 计算机模拟昆虫的种群数量动态变化对于昆虫种群预测和害虫治理十分重要。本文介绍以年龄-龄期两性生命表(age-stage, two-sex life table)为基础,利用计算机模拟预测昆虫的种群动态、种群捕食、寄生和取食的波动、害虫防治时机以及模拟的变异性。利用年龄-龄期两性生命表软件(程式)TWOSEX-MSChart与捕食率软件CONSUME-MSChart分析生命表与捕食率数据,再将分析结果用模拟软件TIMING-MSChart模拟预测种群增长过程中龄期结构以及捕食能力、寄生能力和取食能力的变化。依据种群动态可以预测害虫危害、天敌捕食、寄生蜂寄生能力,再用这些数据确定杀虫剂的施药时机和施药次数,预测生物防治中天敌释放的适当时机、释放数量和释放次数等;同时还可以依据生命表的变异性,利用自我重复取样(bootstrap)技术得到的2.5和97.5百分位(percentiles)或其他百分位的生命表预测种群增长的不确定性。借助基于两性生命表理论的计算机模拟可以预测害虫种群增长以及化学防治和生物防治的最佳时期,以达到经济有效的害虫综合治理,并为农业可持续性提供理论与技术支撑。

关键词: 年龄-龄期两性生命表, 种群预测, 种群动态, 变异性, 害虫防治

Abstract: Computer simulation of the dynamics of insect populations is very important for the prediction of population growth and pest management. In this article, we introduced the use of computer simulations to predict the population dynamics, fluctuation of predation, parasitism and feeding, timing of pest control, and variability of simulation based on the age-stage, two-sex life table. Using the life table program TWOSEX-MSChart and predation rate program CONSUME-MSChart to analyze the life table data and predation data, the results can then be used in the simulation program TIMING-MSChart to project the stage structure of the population dynamics, and the changes in the predation, parasitism and consumption capacities of population. Based on the population dynamics, computer simulation can be used to predict the damage caused by the pest population, predation capacity of predator and parasitism capacity of parasitoid. These data can then be used to plan the timing and frequencies of pesticide application in chemical control, and to predict the timing and number of natural enemies to be released in biological control. Furthermore, the uncertainty of population growth can be predicted by using the life table constructed based on 2.5, 97.5 and other percentiles generated through bootstrap technology. Computer simulations based on the age-stage, two-sex life table can predict the growth of pest populations and the optimal timing for chemical and biological control to achieve an economical and efficient integrated pest management, thus providing theoretical and technical support for sustainable agriculture.

Key words: Age-stage, two-sex life table, population projection, population dynamics, uncertainty, pest management