首页|马尾松毛虫发生量时空回归预测的研究

马尾松毛虫发生量时空回归预测的研究

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[目的]为控制马尾松毛虫的危害提供理论依据.[方法]以1983年9月~1989年9月浙江省仙居县虫情调查资料和气象资料为研究对象,考察各调查点马尾松毛虫有虫面积随气象因子及时间、空间的动态变化,建立马尾松毛虫发生量的时空回归预测模型,并用所建立模型对1989年3代马尾松毛虫有虫面积进行预报检验.[结果]共建立了1个线性、8个非线性马尾松毛虫发生量时空回归预测模型.1989年3代马尾松毛虫实际危害村数及有虫面积分别为141、143、138村和4 533.1、4 181.3、5 166.0 hm2,9个模型预报的3代马尾松毛虫的发生村数均为193村,线性模型预报的3代马尾松毛虫的发生面积分别为3 9r78.5、4 159.5、3 427.5 hm2,非线性模型预报的各测报点3代马尾松毛虫的发生面积分别与实际最大相差71.686 8、99.835 9、119.947 8hm2.[结论]所建立模型对马尾松毛虫有虫面积的预报准确率均为66.7%.
Study of Space-time Regression Prediction on Occurrence Quantity of Dendrolimus punctatus Walker
The study was to provide the theoretical basis for controlling the damage of Dendrolimus punctatus Walker. [Method] With pest investigation data and meteorological data of Xianju Country Zhejiang Province in 1 983.9-1 989.9 as the researched object, the dynamic variation of in-sect appearance areas of D. punctatus with the change of meteorological factors, time and spatial in each investigation point was studied. ,and then the space-time regression prediction model on occurrence quantity of D. punctatus was established. The insect appearance areas of 3 generation D. punctatus in 1989 was forecasted and tested with the established model. [Result] Totally 1 linear and 8 nonlinear space-time regression prediction models on occur-rence quantity of D. punctatus were established. The actual villages that damaged by 3 generation D. punctatus and the insect appearance areas were 141, 143, 138 and 4 533.1, 4 181.3, 5 166.0 hm~2 resp. and the villages that damaged by 3 generation D. punctatus predicted by 9 models were 193, and the insect appearance areas predicted by linear model were 3 978.5, 4 159.5, 3 427.5 hm~2 resp. the prediction results of nonlinear model on insect appear-ance areas of 3 generation D. punctatus were 71.686 8, 99.835 9, 119.947 8 hm~2 different with the actual.[Conclusion] The prediction accuracy of the established models on insect appearance areas of D. punctatus were all 66.7% .

Dendrolimus punctatus WalkerSpace-time regressionPrediction

陈绘画、项云飞、杨胜利

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浙江省仙居县林业局,浙江,仙居,317300

马尾松毛虫 时空回归 预测

浙江省仙居县科技局资助项目

200628

2009

安徽农业科学
安徽省农业科学院

安徽农业科学

CSTPCD北大核心
影响因子:0.413
ISSN:0517-6611
年,卷(期):2009.37(15)
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