| 甘肃狭啮卵在花椒园中的空间分布型及抽样技术 |
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| 引用本文： | 沈平,刘萍,吴建华,常承秀,朱惠英,邓刚.甘肃狭啮卵在花椒园中的空间分布型及抽样技术[J].中国生物防治,2012,28(3):435-438. |
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| 作者姓名： | 沈平 刘萍 吴建华 常承秀 朱惠英 邓刚 |
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| 作者单位： | 1. 甘肃省临夏回族自治州森林病虫害防治检疫站,临夏,731100
2. 甘肃省临夏回族自治州农业学校,临夏,731100 |
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| 基金项目： | 甘肃省临夏州科技计划项目（2010-L-3-04） |
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| 摘 要： | 应用6种分布型指数法分析判定了甘肃狭啮Stenopsocus gansuensis卵在花椒园中的空间分布型,利用Taylor幂法则和Iwao回归方程分析聚集原因,结果表明,田间甘肃狭啮卵呈聚集分布,kc值为2.7934,符合负二项分布;其种群聚集原因是由本身行为习性所致。在此基础上,应用Iwao的理论抽样数模型建立了甘肃狭啮卵的田间理论抽样数公式：N=（t/D）2（1.7673）/m＋0.19887;根据Kuno新的序贯抽样法通式建立了该种群序贯抽样公式：Tn=1.7673/（D20-0.19887/n）。
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| 关 键 词： | 甘肃狭啮 空间分布型 抽样技术 |
Spatial Distribution Pattern and Sampling Technique for Stenopsocus gansuensis Eggs in Zanthoxylum bungeanum Garden Field |
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| SHEN Ping,LIU Ping,WU Jianhua,CHANG Chengxiu,ZHU Huiying,DENG Gang.Spatial Distribution Pattern and Sampling Technique for Stenopsocus gansuensis Eggs in Zanthoxylum bungeanum Garden Field[J].Chinese Journal of Biological Control,2012,28(3):435-438. |
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| Authors: | SHEN Ping LIU Ping WU Jianhua CHANG Chengxiu ZHU Huiying DENG Gang |
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| Institution: | 1 (1. Station of Forest Pest Management and Quarantine of Linxia Hui Nationality Autonomous Region, Gansu Province, Linxia 731100 2. Agricultural School of Linxia Hui Nationality Autonomous Region, Gansu Province, Linxia 731100, China) |
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| Abstract: | The spatial distribution patterns of Stenopsocus gansuensis eggs in Zanthoxylum bungeanum field were analyzed using six methods and the reasons for aggregated distribution were analyzed with Taylor power law and lwao regression equation. Results indicated that the aggregated distribution ofS. gansuensis eggs in field fitted the negative binomial series kc=2.7934; the reason for aggregation may be due to the insect natural habit. Based on the distribution pattern, the formula of theoretical sampling number N=（t/D）E（1.7673）/m＋0. 19887 was established based on lwao＇s theoretical sampling number model; the formula of sequential sampling Tn= 1.7673/（D20--0.19887/n） was proposed using Kuno new method of sequential sampling. |
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| Keywords: | Stenopsocus gansuensis spatial distribution pattern sampling technique |
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