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基于混沌时间序列的马尾松角胫象林间诱捕数量短期预测
引用本文:陈绘画 田万银 徐华潮. 基于混沌时间序列的马尾松角胫象林间诱捕数量短期预测[J]. 中国农学通报, 2012, 28(28): 69-73
作者姓名:陈绘画 田万银 徐华潮
作者单位:[1]浙江省仙居县林业局,浙江仙居317300 [2]浙江农林大学林业与生物技术学院,浙江临安311300
基金项目:浙江省科技厅重大科技专项重点项目“沿海防护林重大有害生物灾害预防预警与防控体系研究与示范”(2010C12029)
摘    要:为了对马尾松角胫象的防治及松材线虫病的控制提供技术支持,利用混沌时间序列的基本原理,分析马尾松角胫象林间诱捕序列,并重构其相空间及计算最大Lyapunov指数。结果表明:马尾松角胫象林间诱捕序列具有混沌特性。在此基础上,应用加权一阶局域预测模型对马尾松角胫象种群动态进行短期预测,结果显示在最长可预报时间尺度内该模型的预测成功率为100%。

关 键 词:放牧压  放牧压  
收稿时间:2012-05-16
修稿时间:2012-06-15

Short-term Forecasting Trapping Amount of Shirahoshizo patruelis in Forest Based on Chaotic Time Series
Chen Huihua,Tian Wanyin,Xu Huachao. Short-term Forecasting Trapping Amount of Shirahoshizo patruelis in Forest Based on Chaotic Time Series[J]. Chinese Agricultural Science Bulletin, 2012, 28(28): 69-73
Authors:Chen Huihua  Tian Wanyin  Xu Huachao
Affiliation:1 The Forest Bureau of Xianju County, Xianju Zhejiang 317300; 2School of Forest and Biotechnology, Zhejiang Agriculture & Forestry University, Lin' an Zhejiang 311300)
Abstract:In order to supply technical support for control of Shirahoshizo patruelis (Voss) and Bursaphelenehus xylophilus (Steiner & Bubrer) Nickle, the author used the basic principles of chaotic time series, by analyzing the trapping series of Shirahoshizo patruelis (Voss) in forest and then reconstructed the phase space and calculated the largest Lyapunov exponent. The results showed that the trapping series of Shirahoshizo patruelis (Voss) in forest had chaotic characteristics. On this basis, the short-term prediction of Shirahoshizo patruelis (Voss) population dynamics with weighted one-rank local-region model showed that the prediction success rate in the largest temporal scale was 100%.
Keywords:chaotic time series  Shirahoshizo patruelis  short-term forecasting  weight one-rank local-region method
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