Spatial Distribution Pattern and Sampling Technique of Batocera lineolata(Coleoptera:Cerambycidae) Population in Ash Trees

LI Jian-qing; MEI Zeng-xia; YANG Zhong-qi

Batocera lineolata is an important stem-borer, attacking ash trees in Yellow River Delta. In the paper, study on spatial distribution pattern and sampling technique of egg, larva, and adult of B. lineolata in ash trees was analyzed with aggregation indexes,Taylor's power law,and Iwao's distribution function. The results showed that the spatial distribution pattern of egg, larva, and adult of B. lineolata in ash trees were all aggregated, and the aggregation intensity was increased with population density. By using the parameters α and β in Iwao's m*-m regression equation,the optimal and sequential sampling formula, which the incisions, frass holes and emergence holes were control indexes, were established. The optimal and sequential sampling data table were calculated, and the data can be applied in the field control.

1. Shandong Province Key Laboratory on Eco-environments of Yellow River Delta, Binzhou University, Shandong 256603, Binzhou, China

2. Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2015-01-19

Abstract: Batocera lineolata is an important stem-borer, attacking ash trees in Yellow River Delta. In the paper, study on spatial distribution pattern and sampling technique of egg, larva, and adult of B. lineolata in ash trees was analyzed with aggregation indexes,Taylor's power law,and Iwao's distribution function. The results showed that the spatial distribution pattern of egg, larva, and adult of B. lineolata in ash trees were all aggregated, and the aggregation intensity was increased with population density. By using the parameters α and β in Iwao's m*-m regression equation,the optimal and sequential sampling formula, which the incisions, frass holes and emergence holes were control indexes, were established. The optimal and sequential sampling data table were calculated, and the data can be applied in the field control.

HTML

Reference (16)

[1]	李建庆,杨忠岐,梅增霞,等.云斑天牛的风险分析及其防控对策[J].林业科学研究,2009,22(1):148-153.
[2]	Zhuge PP, Luo SL, Wang MQ, et al. Electrophysiological responses of Batocera horsfieldi(Hope) adults to plant volatiles[J]. Journal of Applied Entomology, 2010,134:600-607.
[3]	Luo SL, Zhuge PP, Wang MQ. Mating behavior and contact pheromones of Batocera horsfieldi(Hope)(Coleoptera:Cerambycidae)[J]. Entomological Science, 2011,14:359-363.
[4]	杨忠岐,李建庆,梅增霞,等.释放花绒寄甲防治危害白蜡的云斑天牛[J].林业科学,2011, 47(12):78-84.
[5]	刘凤华,王新亮,刘涛,等.云斑天牛的危害及防治技术[J].安徽农业科学,2014,42(23):7814-7816.
[6]	梅爱华.云斑天牛空间分布型及抽样技术[J].昆虫知识, 1992,34(2):94-95.
[7]	吴开明,张建强,代方银,等.云斑天牛危害桑树及生物学特性研究[J].蚕业科学,1995,21(3):53-54.
[8]	张世权,杨宝祥,郑丽芳.云斑天牛空间分布型与种群密度估计的研究[J].河北林学院学报, 1992,(3):210-213.
[9]	张锋,陈志杰,张淑莲,等.柳厚壁叶蜂幼虫空间格局及抽样技术[J].应用生态学报, 2006,17(3):477-482.
[10]	孙红霞,李强,张长波,等.大棚草莓斜纹夜蛾的空间分布型[J].果树学报, 2007,24(5):663-668.
[11]	梅增霞,李建庆.韭菜迟眼蕈蚊幼虫的空间格局及抽样技术[J].湖北农业科学,2012,51(6):1128-1130,1141.
[12]	峗薇,杨茂发,廖启荣,等.两种育秧方式下稻水象甲幼虫的空间分布型及其抽样技术[J].植物保护学报,2013,40(2):128-132.
[13]	赵阳,朱景乐,李芳东,等.杜仲梦妮夜蛾幼虫的空间分布型及抽样技术[J].环境昆虫学报,2014,36(4):629-634.
[14]	Naranjo SE, Flant HM. Spatial distribution of adult Benisia tabaci in cotton and development and validation of fixed-precision sampling plans for estimating population density. Environmental Entomology, 1995,24:261-270.
[15]	李建庆,杨忠岐,张雅林,等.杨树上云斑天牛种群的空间格局及抽样技术[J].昆虫学报,2009,52(8):860-866.
[16]	李友常,夏乃斌,屠泉洪,等.杨树光肩星天牛种群空间格局的地统计学研究[J].生态学报,1997,17(4):393-401.

Spatial Distribution Pattern and Sampling Technique of Batocera lineolata(Coleoptera:Cerambycidae) Population in Ash Trees

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Proportional views