枣瘿蚊幼虫在设施枣树上的空间分布型及抽样技术

doi:10.12302/j.issn.1000-2006.202107003

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

南京林业大学学报（自然科学版） ›› 2022, Vol. 46 ›› Issue (4): 201-208.doi: 10.12302/j.issn.1000-2006.202107003

枣瘿蚊幼虫在设施枣树上的空间分布型及抽样技术

阎雄飞¹(), 程鑫辉¹, 郝哲², 王庭昊¹, 秦富林¹, 李刚¹

1.榆林学院生命科学学院,陕西榆林 719000
2.榆林市农垦服务中心,陕西榆林 719000

收稿日期:2021-07-04 修回日期:2021-12-29 出版日期:2022-07-30 发布日期:2022-08-01
基金资助:
国家自然科学基金项目(31760211);榆林市科技计划项目(YF-2020-004)

Spatial distribution patterns and sampling techniques of Dasineura jujubifolia larvae on facility jujube trees

YAN Xiongfei¹(), CHENG Xinhui¹, HAO Zhe², WANG Tinghao¹, QIN Fulin¹, LI Gang¹

1. College of Life Sciences, Yulin University, Yulin 719000, China
2. Yulin City Agricultural Reclamation Service Station of Shaanxi Province, Yulin 719000, China

Received:2021-07-04 Revised:2021-12-29 Online:2022-07-30 Published:2022-08-01

摘要/Abstract

摘要：

【目的】近年来,枣瘿蚊(Dasineura jujubifolia)在陕西榆林设施枣树基地危害严重,造成巨大经济损失。研究枣瘿蚊幼虫在设施枣树上的空间分布型及抽样技术,掌握枣瘿蚊在寄主上的发生情况和生物学特性,为该虫的监测预报和防治提供参考。【方法】2020年4—5月,在陕西省榆林市佳县柳树会村,选取枣瘿蚊幼虫危害严重的设施枣树样地。采用五点抽样法、双对角线抽样法、棋盘式抽样法、平行线抽样法和“Z”形抽样法抽取受害枣树,运用全株调查法(全查法)统计每株枣树上枣瘿蚊幼虫的数量。5种抽样方法与全查法之间进行t检验、误差率和变异系数比较,筛选出最适合的抽样方法,然后应用7种聚集度指标、Iwao的m^*-m回归分析法和Taylor幂法则对枣瘿蚊幼虫在设施枣树上的空间分布型进行研究。【结果】5种抽样方法均适合设施枣树枣瘿蚊幼虫的调查,其中平行线抽样法为最适合的抽样方法。调查表明,枣瘿蚊幼虫在设施枣树上的空间分布型呈聚集分布,分布的基本成分为个体间相互吸引,密度越大,个体群聚集度越高;其聚集分布由个体的聚集习性引起。依据Iwao的m^*-m回归分析确定了枣瘿蚊幼虫的最适理论抽样公式为N=3.841 6/D²(2.878 3/m+0.176 5),当枣瘿蚊幼虫的防治阈值设置为4头/株,序贯抽样模型公式为$T_{(n)}=4 n \pm 7.4214 \sqrt{n}$。若调查100株设施枣树,当枣瘿蚊幼虫数量累计大于474头时,需要进行防治。【结论】枣瘿蚊幼虫在设施枣树上的最适调查方法为平行线抽样法,其空间分布型为聚集分布,为该虫在设施枣树上的防治提供了基础资料。

关键词: 枣瘿蚊, 设施, 枣树, 空间分布型, 抽样技术

Abstract:

【Objective】 Dasineura jujubifolia is an important pest on jujube trees. In recent years, this pest has caused serious economic losses at the jujube base facility in Yulin City, Shaanxi Province. Understanding the spatial distribution pattern and sampling technique of jujube gall midge larvae on protected jujube trees are of great practical significance for the monitoring, prediction and control of this pest. 【Method】 Facility jujube sample plots displaying serious damage by jujube gall midge larvae were selected from April to May 2020 in Liushuhui village, Jia County, Yulin City, Shaanxi Province. First, the damaged jujube trees were examined using methods such as five-point sampling, double diagonal sampling, checkerboard sampling, parallel line sampling and Z-shaped sampling. Then, the number of jujube gall midge larvae on each facility jujube tree was counted using the whole plant survey method, and the suitability, representativeness and variations among these five methods were compared using t-test. After determining the most suitable sampling method, the spatial distribution of jujube gall midge larvae on facility jujube trees was studied using seven aggregation indexes, Iwao’s m^*-m regression analysis, and Taylor power law. 【Result】 Although all five sampling methods were suitable for the investigation of jujube gall midge larvae in facility jujube trees, the parallel line sampling method was the best performing one. The spatial distribution pattern of jujube gall midge larvae on protected jujube trees was of the aggregation type. The basic component of distribution is the mutual attraction between individuals. The greater the density, the higher the aggregation of individual groups. The larvae of jujube gall midge were clustered on facility jujube trees, caused by the joint action of environmental factors and the aggregative habit of individual larvae. According to Iwao’s m^*-m regression analysis, the optimal theoretical sampling formula for jujube gall midge larvae was obtained as: N = 3.841 6/D² (2.878 3/m + 0.176 5). When the control threshold of jujube gall midge larvae was set at four inds/plant, the formula of sequential sampling model was obtained as: $T_{(n)}=4 n \pm 7.4214 \sqrt{n}$. If 100 facility jujube trees are investigated, and the cumulative number of jujube gall midge larvae is greater than 474, they need to be controlled. 【Conclusion】 The parallel line sampling method was determined to be the most suitable investigation method for jujube gall midge larvae on facility jujube trees. The spatial distribution of jujube gall midge larvae on facility jujube trees is of the aggregation type, which provides a theoretical support for the prevention and control of jujube gall midge larvae in facility jujube trees.

Key words: Dasineura jujubifolia, facility, jujube tree (Ziziphus jujuba), spatial distribution pattern, sampling technique

中图分类号:

S763
S433

阎雄飞,程鑫辉,郝哲,等. 枣瘿蚊幼虫在设施枣树上的空间分布型及抽样技术[J]. 南京林业大学学报（自然科学版）, 2022, 46(4): 201-208.

YAN Xiongfei, CHENG Xinhui, HAO Zhe, WANG Tinghao, QIN Fulin, LI Gang. Spatial distribution patterns and sampling techniques of Dasineura jujubifolia larvae on facility jujube trees[J].Journal of Nanjing Forestry University (Natural Science Edition), 2022, 46(4): 201-208.DOI: 10.12302/j.issn.1000-2006.202107003.

图/表 8

表1

7种聚集度指标判定枣瘿蚊幼虫空间分布型的标准"

空间分布 spatial distribution	扩散系数C diffusion coefficient	I	K	C_A	m^*	L	$L a / m$
均匀分布 uniform distribution	< 1	< 0	< 0	< 0	<m	< 1	< 1
聚集分布 aggregate distribution	> 1	> 0	>0(超过8近乎poisson分布)	> 0	>m	> 1	> 1
随机分布 random distribution	1	0	趋向于∞	0	m	1	1

表1

表2

表3

图1

图2

表4

表5

表6

参考文献 28

[1]	曲泽洲, 王永蕙. 中国果树志-枣卷[M]. 北京: 中国林业出版社, 1993.
	QIU Z Z, WANG Y H. Chinese fruit tree record-jujube roll[M]. Beijing: China Forestry Publishing House, 1993.
[2]	苏彩霞, 郭凯勋, 刘晓红. 我国红枣产业的现状、存在问题及对策[J]. 果农之友, 2020(2):39-41.
	SU C X, GUO K X, LIU X H. Current situation, problems and countermeasures of jujube industry in China[J]. Fruit Grow Friend, 2020(2):39-41.
[3]	韩丹. 陕西红枣生产分析与发展对策研究[D]. 杨凌: 西北农林科技大学, 2018.
	HAN D. Development of jujube production in Shaanxi Province:analysis and strategies[D]. Yangling: Northwest A & F University, 2018.
[4]	JIAO K L, HAN P J, YANG M L, et al. A new species of gall midge (Diptera:Cecidomyiidae) attacking jujube,Ziziphus jujuba in China[J]. Zootaxa, 2017, 4247(4):487-493.DOI:10.11646/zootaxa.4247.4.10.
[5]	李兰, 阿地力·沙塔尔, 潘存德, 等. 枣叶瘿蚊在阿克苏市的消长规律及其防治研究[J]. 新疆农业大学学报, 2010, 33(1):36-39.
	LI L, Adili·Shataer, PAN C, et al. Study on growth and decline law and control of Dasineura datifolia Jiang in aksy[J]. J Xinjiang Agric Univ, 2010, 33(1):36-39.
[6]	丁岩钦. 昆虫种群数学生态学原理与应用[M]. 北京: 科学出版社, 1980.
	DING Y Q. Principles and applications of mathematical ecology of insect population[M]. Beijing: Science Press, 1980.
[7]	段春华, 亓玉昆, 刘慇, 等. 松针鞘瘿蚊幼虫空间分布格局和序贯抽样技术研究[J]. 山东农业科学, 2020, 52(7):101-104.
	DUAN C H, QI Y K, LIU Y, et al. Study on spatial distribution pattern and sequential sampling technique of Thecodiplosis japonensis Uchida & Inouye[J]. Shandong Agric Sci, 2020, 52(7):101-104.DOI:10.14083/j.issn.1001-4942.2020.07.020.
[8]	沈友爱, 郑阳平, 林昌. 日本鞘瘿蚊幼虫空间分布型及抽样技术的研究[J]. 森林病虫通讯, 1999, 18(4):28-30.
	SHEN Y A, ZHENG Y P, LIN C. Study on spatial distribution pattern and sequential sampling technique of Thecodiplosis japonensis larvae[J]. For Pest Dis, 1999, 18(4):28-30.
[9]	高素红, 路常宽, 赵春明, 等. 刺槐叶瘿蚊越冬幼虫空间格局及抽样调查技术[J]. 昆虫知识, 2010, 47(4):725-729.
	GAO S H, LU C K, ZHAO C M, et al. Over-wintering larvae distribution pattern and sampling techniques of Obolodiplosis robiniae[J]. Chin Bull Entomol, 2010, 47(4):725-729.
[10]	田瑞, 胡红菊, 王友平, 等. 梨瘿蚊幼虫的空间分布型及序贯抽样技术[J]. 华中农业大学学报, 2008, 27(6):728-731.
	TIAN R, HU H J, WANG Y P, et al. Spatial distribution pattern of larva of the pear leaf curing midge and sequential sampling technique[J]. J Huazhong Agric Univ, 2008, 27(6):728-731.DOI:10.13300/j.cnki.hnlkxb.2008.06.015.
[11]	杨珍, 董鑫, 胡建平. 云杉顶芽瘿蚊空间分布型及抽样技术研究[J]. 林业科技通讯, 1999(5):21-22.
	YANG Z, DONG X, HU J P. Study on spatial distribution pattern and sampling technique of Dasineura sp.[J]. For Sci Technol, 1999(5):21-22.
[12]	黄燕丽, 朱元, 李强, 等. 花椒瘿蚊幼虫空间分布型及抽样技术的研究[J]. 云南农业大学学报, 2005, 20(5):646-650.
	HUANG Y L, ZHU Y, LI Q, et al. Study on spatial distribution patterns and sampling techniques of Asphondylia zathoyli larvae[J]. J Yunnan Agric Univ, 2005, 20(5):646-650.DOI:10.16211/j.issn.1004-390x(n).2005.05.010.
[13]	赵飞, 李捷, 贺润平, 等. 矮化密植枣园枣瘿蚊第一代幼虫空间分布型及抽样技术[J]. 山西农业大学学报(自然科学版), 2006, 26(4):361-363.
	ZHAO F, LI J, HE R P, et al. Studies on F1 larvae distribution pattern and sampling techniques of Contarinia sp. in the short-stalked and close-planting jujube yards[J]. J Shanxi Agric Univ (Nat Sci Ed), 2006, 26(4):361-363.DOI:10.13842/j.cnki.issn1671-8151.2006.04.017.
[14]	张仁福, 于江南, 斯迪克·米吉提, 等. 枣瘿蚊幼虫空间分布型及抽样技术研究[J]. 新疆农业大学学报, 2010, 33(1):23-26.
	ZHANG R F, YU J N, Sidike·Mijiti, et al. Studies on spatial distribution and sampling technology of Contarinia datifolia Jiang larvae[J]. J Xinjiang Agric Univ, 2010, 33(1):23-26.
[15]	蔡志平, 彭延, 李克福, 等. 枣瘿蚊幼虫在幼龄枣树上的空间分布型及抽样技术[J]. 江苏农业科学, 2016, 44(9):152-154.
	CAI Z P, PENG Y, LI K F, et al. Spatial distribution pattern and sampling technique of the larvae of Contarinia datifolia on young jujube trees[J]. Jiangsu Agric Sci, 2016, 44(9):152-154.DOI:10.15889/j.issn.1002-1302.2016.09.043.
[16]	郑燕, 姜超, 杨晨亮, 等. 三星黄萤叶甲成虫在绞股蓝田的空间分布型及抽样技术研究[J]. 西北农林科技大学学报(自然科学版), 2011, 39(4):99-104.
	ZHENG Y, JIANG C, YANG C L, et al. Study on spacial distribution pattern and sampling technique of Paridea angulicollis adult in Gyanostemma pentaphllum[J]. J Northwest A & F Univ (Nat Sci Ed), 2011, 39(4):99-104.DOI:10.13207/j.cnki.jnwafu.2011.04.016.
[17]	兰星平. La指标在测定昆虫种群空间分布型与抽样调查中的应用[J]. 贵州林业科技, 1993, 21(1):20-26.
	LAN X P. Application of La index in determining spatial distribution patterns and sampling survey of insect population[J]. Guizhou For Sci Technol, 1993, 21(1):20-26.
[18]	徐汝梅, 成新跃. 昆虫种群生态学——基础与前言[M]. 北京: 科学出版社, 2005.
	XU R M, CHENG X Y. Insect population ecology: basis and preface[M]. Beijing: Science Press, 2005.
[19]	兰星平. 关于Iwao m^*-m回归模型在昆虫种群空间分布型的应用分析[J]. 贵州林业科技, 2007, 35(1):1-8.
	LAN X P. Analysis on the application of Iwao’s m^*-m model on the study of distribution pattern of insect population[J]. Guizhou For Sci Technol, 2007, 35(1):1-8.
[20]	IWAO S. Application of the method to the analysis of spatial patterns by changing the quadrat size method to the analysis of spatial patterns by changing the quadrat size[J]. Popul Ecol, 1972, 14(1):97-128.DOI:10.1007/BF02511188.
[21]	TAYLOR L R. Assessing and interpreting the spatial distributions of insect populations[J]. Annu Rev Entomol, 1984, 29(1):321-357.DOI:10.1146/annurev.en.29.010184.001541.
[22]	BLACKITH R E. The water reserves of hatchling locusts[J]. Comp Biochem Physiol, 1961, 3(2):99-107. DOI:10.1016/0010-406X(61)90136-0.
[23]	胡长效, 强承魁, 王胜永. 微小花蝽对梨瘿蚊的室内捕食作用[J]. 江苏农业学报, 2020, 36(1):57-62.
	HU C X, QIANG C K, WANG S Y. Predation of Orius minutes on Dasumeira pyri in the laboratory[J]. Jiangsu J Agri Sci, 2020, 36(1):57-62.DOI:10.3969/j.issn.1000-4440.2020.01.008.
[24]	阎雄飞, 蒲泰勋, 李刚, 等. 枣飞象成虫在陕北枣区的空间分布型及抽样技术[J]. 应用昆虫学报, 2019, 56(3):585-594.
	YAN X F, PU T X, LI G, et al. Spatial distribution of Scythropus yasumatsui adults and sampling techniques for this species in the Jujube growing region of Northern Shaanxi[J]. Chin Bull Entomol, 2019, 56(3):585-594.DOI:10.7679/j.issn.2095-1353.2019.068.
[25]	刘凯舟, 曹霞, 巨云为, 等. 山核桃透翅蛾幼虫空间分布型及抽样技术[J]. 南京林业大学学报(自然科学版), 2019, 43(3):23-27.
	LIU K Z, CAO X, JU Y W, et al. Spatial distribution pattern and sampling technique of Sphecodoptera sheni larvae on Carya illinoinensis[J]. J Nanjing For Univ(Nat Sci Ed), 2019, 43(3):23-27.DOI:10.3969/j.issn.1000-2006.201804001
[26]	侯世星, 刘兵, 温俊宝, 等. 香梨优斑螟在库尔勒香梨园中的空间分布[J]. 南京林业大学学报(自然科学版), 2013, 56(6):41-46.
	HOU S X, LIU B, WEN J B, et al. Distribution pattern of Euzophera pyriella Yang in the garden of Pyrus sinkiangensis Yü[J]. J Nanjing For Univ(NAT Sci Ed), 2013, 56(6):41-46.DOI: 10.3969/j.issn.1000-2006.2013.06.009.
[27]	阎雄飞, 王亚文, 李刚, 等. 不同配方引诱剂和诱捕器对枣飞象成虫的田间诱集效果[J]. 南京林业大学学报(自然科学版), 2020, 44(4):125-130.
	YAN X F, WANG Y W, LI G, et al. Trapping efficacy of different attractants and traps on Scythropus yasumatsui adults in field[J]. J Nanjing For Univ(NAT Sci Ed), 2020, 44(4):125-130.DOI: 10.3969/j.issn.1000-2006.202002029.
[28]	纪烨琳, 苏喜友, 于治军. 基于随机森林模型的美国白蛾在中国的潜在生境预测[J]. 南京林业大学学报(自然科学版), 2019, 43(6):121-128.
	JI Y L, SU X Y, YU Z J. Potential habitat prediction of Hyphantria cunea based on a random forest model in China[J]. J Nanjing For Univ(NAT Sci Ed), 2019, 43(6):121-128.DOI: 10.3969/j.issn.1000-2006.201808046.

抽样方法 sampling methods	抽取株数 sampling number	平均幼虫数量 mean samples	标准偏差 standard deviation	标准误差 standard error	变异系数 variation coefficient	与总样本 t_0.05 检验值 total sample t₀_.₀₅ test value	自由度 df	t	适合性 fitness
全查 whole check	140	15.144	9.782	—	0.646	—	—	—	—
五点抽样 five-point	15	15.400	10.894	2.813	0.707	0.929	14	0.091	适合
双对角线抽样 double diagonal	20	14.750	8.528	1.907	0.578	0.839	19	-0.207	适合
棋盘式抽样 checkerboard	27	14.407	9.783	1.883	0.679	0.700	26	-0.390	适合
平行线抽样 parallel line	45	15.178	9.724	1.450	0.641	0.982	44	0.023	适合
“Z”形抽样 Z-shaped	33	16.030	9.587	1.669	0.598	0.617	32	0.505	适合

样地序号 sample number	平均幼虫数 sample mean	方差(S²) variance	扩散系数(C) diffusion coefficient	I	C_A	K	m^*	L	L_a/_m
1	15.840	93.851	5.925	4.925	0.311	3.216	20.765	1.311	1.053
2	14.540	76.580	5.267	4.267	0.293	3.408	18.807	1.293	1.056
3	16.240	87.288	5.375	4.375	0.269	3.712	20.615	1.269	1.050
4	15.420	86.113	5.584	4.584	0.297	3.364	20.004	1.297	1.053
5	15.260	92.356	6.052	5.052	0.331	3.020	20.312	1.331	1.055
6	14.720	78.124	5.307	4.307	0.293	3.417	19.027	1.293	1.055
聚集度aggregation indexes			>1	>0	>0	>0且<8	>m	>1	>1
分布型distribution forms			聚集分布	聚集分布	聚集分布	聚集分布	聚集分布	聚集分布	聚集分布

样地序号 sample No.	株数tree number	K	γ	λ
1	15.840	3.216	5.773	14.215
2	14.540	3.408	6.155	13.132
3	16.240	3.712	7.424	14.796
4	15.420	3.364	6.067	13.907
5	15.260	3.020	5.381	13.593
6	14.720	3.417	6.175	13.299

防治阈值 (m₀) control threshold	上下限 upper and lower limits		不同调查株数的累计虫口数/头 the cumulative number of insects in different investigation plants
防治阈值 (m₀) control threshold	上下限 upper and lower limits		10		20		30		40		50		60		70		80		90	100
2	上限(T₁) upper limits	36		62		87		112		135		159		182		205		227		250
2	下限(T₀) lower limits	4		18		33		48		65		81		98		115		133		150
4	上限(T₁) upper limits	63		113		161		207		252		297		342		386		430		474
4	下限(T₀) lower limits	17		47		79		113		148		183		218		254		290		326
6	上限(T₁) upper limits	90		163		232		300		367		434		500		565		630		695
6	下限(T₀) lower limits	30		77		128		180		233		286		340		395		450		505

枣瘿蚊幼虫在设施枣树上的空间分布型及抽样技术

Spatial distribution patterns and sampling techniques of Dasineura jujubifolia larvae on facility jujube trees

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 28

相关文章 15

编辑推荐

Metrics

本文评价

作者

读者

审稿

相对允许误差 permissible variation	估计不同枣瘿蚊幼虫数量的最佳抽样数/株 the number of Dasineura jujubifolia larvae estimated
相对允许误差 permissible variation	2	6	10	14	18	22	26	30	34	38
0.1	621	252	178	147	129	118	110	105	100	97
0.2	155	63	45	37	32	30	28	26	25	24
0.3	69	28	20	16	14	13	12	12	11	11

[1]	纪昕雨, 于悦, 张思帆, 刘媛媛. 基于CSLE模型的大连市果园土壤侵蚀特征研究[J]. 南京林业大学学报（自然科学版）, 2024, 48(3): 117-124.
[2]	罗奕奕, 李凌超, 程宝栋. 经济增长对森林破碎化的影响——以中国京津冀地区为例[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 227-236.
[3]	费文君, 赵梦琴. 基于MSPA的南京市绿色基础设施网络构建[J]. 南京林业大学学报（自然科学版）, 2022, 46(3): 50-56.
[4]	费文君, 高祥飞. 我国城市绿地防灾避险功能研究综述[J]. 南京林业大学学报（自然科学版）, 2020, 44(4): 222-230.
[5]	刘凯舟,曹霞,巨云为,翟敏,严晓茹,王笑石,周际丰. 山核桃透翅蛾幼虫空间分布型及抽样技术[J]. 南京林业大学学报（自然科学版）, 2019, 43(03): 23-27.
[6]	刘凌,闫大琦,祁荣频,胡光辉,毛云玲,徐亮,闫争亮,马慧芬. 云南松楚雄腮扁叶蜂幼虫在表土层的空间分布特点及理论抽样数[J]. 南京林业大学学报（自然科学版）, 2014, 38(04): 97-101.
[7]	黄海静，符国槐，杨再强*，张静，金志凤. 设施栽培对杨梅生长发育和品质的影响[J]. 南京林业大学学报（自然科学版）, 2012, 36(06): 47-52.
[8]	沈春竹,何立恒,金晓斌,丁宁,周寅康. 高速铁路大型临时设施土地复垦利用研究[J]. 南京林业大学学报（自然科学版）, 2012, 36(03): 125-130.
[9]	郑永祥1，彭佳龙1，王明生1，陈洪利2. 鞭角华扁叶蜂允许为害测度与抽样分析[J]. 南京林业大学学报（自然科学版）, 2009, 33(05): 142-.
[10]	高贵宾1,2,顾小平1*,吴晓丽1,朱如云3,林峰3,岳晋军1. 设施栽培绿竹笋用林的出笋规律[J]. 南京林业大学学报（自然科学版）, 2009, 33(02): 27-.
[11]	嵇保中;刘曙雯;董丽娜;居峰;孙辉;孙强;戴德渭. 松材线虫萎蔫病病死木的空间分布型[J]. 南京林业大学学报（自然科学版）, 2000, 24(04): 82-84.
[12]	唐桂兰;张大中;黄新;杨明明. 木材入水沉深的模型试验研究[J]. 南京林业大学学报（自然科学版）, 1998, 22(04): 99-103.
[13]	唐桂兰;杨明明;黄新. 木材入河设施钢滑道模型载荷测试系统[J]. 南京林业大学学报（自然科学版）, 1997, 21(04): 42-46.
[14]	兰星平;薛贤清. “r一m回归模型在确定昆虫种群空间分布型中的应用[J]. 南京林业大学学报（自然科学版）, 1996, 20(02): 59-64.
[15]	薛贤清,钱范俊,余荣卓,张福寿,刘永福. 杉木球果麦蛾空间分布型的研究[J]. 南京林业大学学报（自然科学版）, 1994, 18(02): 19-24.