Ferracini Chiara, Alma Alberto
Di.Va.P.R.A.-Entomologia e Zoologia applicate all'Ambiente Carlo Vidano, University of Turin, via L. da Vinci, 44-10095 Grugliasco, Italy.
J Econ Entomol. 2007 Dec;100(6):1910-5. doi: 10.1603/0022-0493(2007)100[1910:sspfco]2.0.co;2.
A fixed precision sequential sampling plan for estimating the density of the horse chestnut, Aesculus hippocastanum L., leafminer Cameraria ohridella Deschka & Dimic (Lepidoptera: Gracillariidae) was developed. Data were collected from 2002 to 2004 in Turin, northwestern Italy, with the aim of developing a sampling strategy for estimating populations of C. ohridella mines. Taylor's power law was used as a regression model. Sampling parameters were estimated from 216 data sets, and an additional 110 independent data sets were used to validate the fixed precision sequential sampling plan with resampling software. Covariance analysis indicated that there were not significant differences in the coefficient of Taylor's power law between heights of the foliage, months, and years. Dispersion patterns of C. ohridella were determined to be aggregated. The parameters of the Taylor's power law were used to calculate minimum sample sizes and sampling stop lines for different precision levels. Considering a mean density value of five mines per leaf, an average sample number of only 49 leaves was necessary to achieve a desired precision level of 0.25. As the precision level was increased to 0.10, the average sample size increased to 303 leaves. The sequential sampling plan should provide an effective management of C. ohridella in the urban areas, minimizing sampling time and cost, and at the same should be an effective tool to reduce insecticide applications and prevent the esthetic damage.
开发了一种用于估计七叶树(Aesculus hippocastanum L.)潜叶蛾(Cameraria ohridella Deschka & Dimic,鳞翅目:细蛾科)密度的固定精度序贯抽样方案。2002年至2004年期间在意大利西北部的都灵收集数据,目的是制定一种抽样策略来估计奥氏潜叶蛾虫道的数量。泰勒幂法则被用作回归模型。从216个数据集估计抽样参数,并使用另外110个独立数据集通过重采样软件验证固定精度序贯抽样方案。协方差分析表明,在叶高、月份和年份之间,泰勒幂法则的系数没有显著差异。确定奥氏潜叶蛾的分布模式为聚集分布。利用泰勒幂法则的参数计算不同精度水平下的最小样本量和抽样停止线。考虑到每片叶子平均有5个虫道的密度值,要达到0.25的期望精度水平,平均只需49片叶子作为样本。当精度水平提高到0.10时,平均样本量增加到303片叶子。该序贯抽样方案应能有效管理城市地区的奥氏潜叶蛾,将抽样时间和成本降至最低,同时应是减少杀虫剂使用和防止美观受损的有效工具。