微红梢斑螟和桃蛀螟预测预报方法研究
|
摘要
本研究通过林间调查、引诱方法筛选、室内饲养、性诱、灯诱等途径进行微红梢斑螟和桃蛀螟的预测预报,最终给出测报结论,并进行林间验证。在此基础上,提出防治意见,供相关部门参考。
主要结果如下:
(1)危害调查结果:微红梢斑螟危害最重的为下蜀林场,最轻的为马鞍山林场;火炬松平均受害株率为44.4%,马尾松为31.6%;主梢受害率高达62.1%,平均受害梢率为8.49%,受害梢率与树高、胸径显著负相关。桃蛀螟仅在两处实验地危害严重,来安半塔林场危害率高达87.6%,双牌石松林为45.8%;双牌石松林平均受害梢率为7.78%,每株平均虫苞数为2.55个,每苞虫口平均数为6.95个,每株平均虫口数16.45头;受害梢率与胸径显著负相关。
(2)林间诱捕对比试验结果表明:黑光灯对桃蛀螟的引诱效果显著;性诱剂对微红梢斑螟的引诱效果最佳,黑光灯次之,水盆诱捕器诱集效果较粘虫板好,其余各引诱方法均未能达到理想的效果,有待进一步研究。
(3)林间剖查微红梢斑螟越冬代化蛹进度,加上相应历期,测报越冬代成虫高峰期为5月18日～5月25日,第一代成虫高峰期为7月6日～7月13日。油菜大面积开花期为越冬代幼虫危害盛期,板栗开花始盛期为成虫盛期;成虫发生量与危害关系测报模型:y1=13.7+1.638x,y2=0.174+0.019x(其中y_1为林间危害率,y_2为平均每株幼虫数,x为诱集成虫数)。据灯诱预测,越冬代桃蛀螟成虫5月下旬始见,7月下旬至8月下旬为发蛾高峰期。
(4)利用性诱得到的发蛾动态图检验微红梢斑螟发生期测报的准确性,结果表明误差在5天以内,能基本反映林间的发生情况;通过林间实地引诱、调查,验证发生量的符合率达到90%以上,其测报结果与实际结果之间显著相关。由此证明,此项测报方法是可行的。
This article studied forecasting and predicting of D.rubella and C.punctiferalis through ways of field investigation, attracting methods’screening, rearing in laboratory, attraction of synthetic sex pheromone, light-traps and finally got the forecast methods. On the basis, the researchers proceeded field examinations and gave referenced suggestions to correlative departments. The results are summarized as follows:
(1)Investigation results of insect damage: The most serious damage of D.rubella occurred in Nanjing Forestry University-owned forestry farms and the least one occurred in Forest Farm of Maanshan. The average percentage of damage of Pinus taeda was 44.4%, of which Pinus massoniana was 31.6%. The average percentage of damage of primary branches and the average rate of damaged shoots was 62.1% and 8.49% respectively. The average rate of damaged shoots negatively related to tree height and diameter. Only two areas had the damage of C.punctiferalis. The damage rate of Forest Farm of Banta was 87.6% and that of Shuangpaishi pinewood was 45.8%. The average rate of damaged shoots was 7.78% in Shuangpaishi pinewood. Every pine had 2.55 wormy bags with silk. Every wormy bag averagely had 6.95 larvae. And every pine averagely had 16.45 larvae. The average rate of damaged shoots negatively related to tree diameter.
(2)The black light luring was significant on C.punctiferalis. As to D.rubella, the sex attractant alluring was the best with black light lamp lure in second. The effect of water basin was better than that of trapping board. The rest methods didn’t reach desired results, which needs further studies.
(3)Through surveying pupation progress with the addition of corresponding development period in filed the author obtained following conclusions. The peak period of the overwintering adults was from May 18th to May 25th, which of the first generation was from July 6th to July 13th.The period of rape large bloom was coincident simulated with the peak period of winter generation larval harm. Established forecasting model with occurrence quantity of adults and damage’s relation, which was y_1=13.7+1.638x, y_2=0.174+0.019x. On the basis of lamp luring, the overwintering adults of C.punctiferalis initially appeared in late May, and the peak period of adults was from late July to late August.
(4)The forecasting occurrent date of D.rubella was coincident simulated with the real results and the error was wihin 5 days. The forecast of amount was significantly correlated to the real facts. Tests showed the results of forecast had good reliability and validity.
主要结果如下:
(1)危害调查结果:微红梢斑螟危害最重的为下蜀林场,最轻的为马鞍山林场;火炬松平均受害株率为44.4%,马尾松为31.6%;主梢受害率高达62.1%,平均受害梢率为8.49%,受害梢率与树高、胸径显著负相关。桃蛀螟仅在两处实验地危害严重,来安半塔林场危害率高达87.6%,双牌石松林为45.8%;双牌石松林平均受害梢率为7.78%,每株平均虫苞数为2.55个,每苞虫口平均数为6.95个,每株平均虫口数16.45头;受害梢率与胸径显著负相关。
(2)林间诱捕对比试验结果表明:黑光灯对桃蛀螟的引诱效果显著;性诱剂对微红梢斑螟的引诱效果最佳,黑光灯次之,水盆诱捕器诱集效果较粘虫板好,其余各引诱方法均未能达到理想的效果,有待进一步研究。
(3)林间剖查微红梢斑螟越冬代化蛹进度,加上相应历期,测报越冬代成虫高峰期为5月18日～5月25日,第一代成虫高峰期为7月6日～7月13日。油菜大面积开花期为越冬代幼虫危害盛期,板栗开花始盛期为成虫盛期;成虫发生量与危害关系测报模型:y1=13.7+1.638x,y2=0.174+0.019x(其中y_1为林间危害率,y_2为平均每株幼虫数,x为诱集成虫数)。据灯诱预测,越冬代桃蛀螟成虫5月下旬始见,7月下旬至8月下旬为发蛾高峰期。
(4)利用性诱得到的发蛾动态图检验微红梢斑螟发生期测报的准确性,结果表明误差在5天以内,能基本反映林间的发生情况;通过林间实地引诱、调查,验证发生量的符合率达到90%以上,其测报结果与实际结果之间显著相关。由此证明,此项测报方法是可行的。
This article studied forecasting and predicting of D.rubella and C.punctiferalis through ways of field investigation, attracting methods’screening, rearing in laboratory, attraction of synthetic sex pheromone, light-traps and finally got the forecast methods. On the basis, the researchers proceeded field examinations and gave referenced suggestions to correlative departments. The results are summarized as follows:
(1)Investigation results of insect damage: The most serious damage of D.rubella occurred in Nanjing Forestry University-owned forestry farms and the least one occurred in Forest Farm of Maanshan. The average percentage of damage of Pinus taeda was 44.4%, of which Pinus massoniana was 31.6%. The average percentage of damage of primary branches and the average rate of damaged shoots was 62.1% and 8.49% respectively. The average rate of damaged shoots negatively related to tree height and diameter. Only two areas had the damage of C.punctiferalis. The damage rate of Forest Farm of Banta was 87.6% and that of Shuangpaishi pinewood was 45.8%. The average rate of damaged shoots was 7.78% in Shuangpaishi pinewood. Every pine had 2.55 wormy bags with silk. Every wormy bag averagely had 6.95 larvae. And every pine averagely had 16.45 larvae. The average rate of damaged shoots negatively related to tree diameter.
(2)The black light luring was significant on C.punctiferalis. As to D.rubella, the sex attractant alluring was the best with black light lamp lure in second. The effect of water basin was better than that of trapping board. The rest methods didn’t reach desired results, which needs further studies.
(3)Through surveying pupation progress with the addition of corresponding development period in filed the author obtained following conclusions. The peak period of the overwintering adults was from May 18th to May 25th, which of the first generation was from July 6th to July 13th.The period of rape large bloom was coincident simulated with the peak period of winter generation larval harm. Established forecasting model with occurrence quantity of adults and damage’s relation, which was y_1=13.7+1.638x, y_2=0.174+0.019x. On the basis of lamp luring, the overwintering adults of C.punctiferalis initially appeared in late May, and the peak period of adults was from late July to late August.
(4)The forecasting occurrent date of D.rubella was coincident simulated with the real results and the error was wihin 5 days. The forecast of amount was significantly correlated to the real facts. Tests showed the results of forecast had good reliability and validity.
引文
[1]モモノメイガ(注目すべき果树型と叶树型の问题).神户植物防疫情报,1963,333:58.
[2]Bernd Blasius, et al.Complex dynamics and phase synchronization in spatially extended ecological systems.Nature,1999, 399:354-359.
[3]Choi K. S., Han K. S., Jeon M. J.J.Korean For.Soc.,2004,93(2):134-139.
[4]Gencay R. Nonlinear prediction of noisy time series with feedfor-ward networks.Phys.Lett A,1994,187:397-403.
[5]H Riedl, B A Croft, A J Howitt. Forecasting codling moth phenology based on pheromome trap catch andphysiological time models.Can Emtomol,1976,108(5):449-460.
[6]Iwao S,et al. Use of the regression of mean crowding on mean density forestimating sample size and the transformation of data for the analysis of variance.Ibid, 1968,10(2):210-214.
[7]Iwao S, Kuno E. An approach to the analysis of aggregation pattern in biological populations.Statistical Ecology, 1971,1:461-514.
[8]Kang C. H., Lee S. M., Chung Y. J.Korean J.Appl.Entomol.,2004,43(3):201-209.
[9]Liang Y C,Sun Y F.An improved method of support vector ma-chine and its applications to financial time series forecasting.Prog. Natural Sci., 2003, 13(9):696-700.
[10]Liu M. Y., Tian Y., Li Y. X.Entomol.Sin., 1994, 1(2):150-155.
[11]Morris R F. Predictive population equations based on key-factors.Men Ent Soc Can,1963,32:16-21.
[12] Pai P F,Lin C S.A hybrid ARIMA and support vector machinesmodel in stock price forecasting.Omega, 2005, 6:497-505.
[13]Roe, A D,Stein, J D,Gillette, N E,et al. Identification of Dioryctria Lepidoptera: Pyralidae in a seed orchard at Chico. California.Ann. Entomological Soc. Am.,2006,99 (3):433-448.
[14] Roland Mumm, Monika Hilker.Direct and indirect chemical defence of pine against folivorous insects. Trends plant sci., 2006,11(7):351-358.
[15]Thissena U, Brakela R van, Weijerb A P de, et al.Using supportvector machines for time series prediction. Chemometrics Intelligent Lab. Systems, 2003, 69:35-49.
[16]Varley G C, Gradwell G R. Recent advances in insect population dynamics. Am Rev Entomol, 1970, 15:1-24.
[17]Visser JH. Host odor perception in phytophagous insects. Annual Review of Entomology, 1986, 31: 121-144.
[18]Vapnik.The nature of statistical learning theory.NewYork: Springer Verlag Press,1995.
[19]柴希民,何志华.危害马尾松的桃蛀野螟[J].昆虫知识,1987,24(2):99-100.
[20]陈红.微红梢斑螟的初步观察[J].安徽农学通报,2007,13(11):215.
[21]陈湖海,赵云鲜,康乐.两种同域分布的草原蝗虫对植物挥发性化合物的嗅觉反应[J].中国科学,2003, 33(5):421-428.
[22]陈列.害虫发生期与物候关系观察[J].广西植保,1998,(4):38-41.
[23]陈湘南.夜光涂料及其开发动向[J].化工新型材料,2000,29(3):16-17.
[24]福建省林业科学研究所主编.福建森林昆虫[M].北京:中国农业科技出版社,1991.
[25]关继东.松阿扁叶蜂预测预报与防治技术的研究[D].东北林业大学,2003.
[26]郭斌,李林,李亚军,等.丙烯酸聚氨酯夜光涂料的工艺研究[J].现代涂料与涂装,2001,10(1):8-10.
[27]郭永新,白小康.桃蛀螟的发生规律与防治方法[J].西北园艺,2002,(2):53.
[28]韩景红,王军志.桃蛀螟的发生及防治[J].河南农业,2003,(3):20.
[29]黄启军.松树种实害虫防治[J].安徽林业,2003,(4):29
[30]嵇保中,刘曙雯,高江勇,等.松树梢果蛾类害虫研究进展[J].华东昆虫学报2008,17(2):149-155.
[31]况美华,刘曙雯,嵇保中,等.取食针叶的桃蛀螟越冬状况调查和生物学特性[J].昆虫知识,2008,2(8):12-13.
[32]李箐.微红梢斑螟的生物学特性及防治研究[J].林业实用技术,2003,9(1):29-30.
[33]柳小妮.甘肃省草地蝗虫预测预报专家系统的研究与开发[D].甘肃农业大学,2003.
[34]李念朋.有机桃园主要害虫和天敌种群动态及其害虫防治的初步研究[D].北京:中国农业大学,2005.
[35]李平.微红梢斑螟的生物学特性及其防治[J].华东昆虫学报,1999,8(2):4-5.
[36]李新岗.虫害诱导与松果梢斑螟的寄主选择[D]西北农林科技大学, 2006 .
[37]林志鹏,余能健,吴志远,等.福建明溪桃蛀螟的防治[J].福建林学院学报,1995,15(1):67-71.
[38]林志伟.诱捕器引诱松墨天牛试验[J].福建林业科技,2006,33(3):65-67.
[39]林志伟.寒地灰飞虱田间发生规律的研究[J].黑龙江农业科学2004,(6):24-26.
[40]刘立春.诱虫灯的研究进展及应用概况[J].华东昆虫学报,1994,3(1):75-78.
[41]刘立春,顾国华,陈建军,等.四种蛾类灯下行为特点初步研究[J]昆虫知识,1997,(2).11-15.
[42]刘立春,叶文飙.我国夜蛾趋光行为的研究及其应用[J]昆虫知识, 1998,( 3).21-25.
[43]刘应安.微红梢斑螟幼虫在两种松林中的空间分布格局研究[J].徐州师范大学学报,1998, 14(4):58-60.
[44]鹿金秋.桃蛀螟发生规律及生物学特性的研究[D].山东农业大学,2008.
[45]骆社周.森林病虫害预测预报系统的设计与研发[D].中国地质大学,2006.
[46]罗治建,赵升平,曾进,等.板栗桃蛀螟生活史、习性及防治技术研究[J].湖北林业科技,2000,(3):22-23.
[47]马盛安,鲁绪祥,吴献春.桃蛀螟危害松梢的研究[J].安徽林业科技,1995,森防专集:14-15.
[48]马飞,程遐年.害虫预测预报研究进展(综述)[J].安徽农业大学学报,2001,28(1):92-97.
[49]马飞,许晓风,张夕林.神经网络预警系统及其在害虫预测中的应用[J].昆虫知识,2002,39(2):115-119.
[50]苗进.华北地区大豆蚜Aphisglycines的种群动态和主要天敌控制能力的研究. [D]河北农业大学.2005.
[51]庞正轰.马尾松毛虫灾害预测预报综合技术研究[D].北京林业大学,2004.
[52]秦厚国,朱雪晶,罗任华,等.斜纹夜蛾发生期预测预报的研究——历期预测法[J].江西农业学报,2006,18(3):116-118.
[53]屈西峰,邵振润,王建强.30年来我国棉铃虫预测预报的进展[J].昆虫知识,1993,33(6): 357-360.
[54]沈建新,张惠琴周,等.应用灯下诱蛾量确定二化螟防治适期的方法探讨[J].植物保护,2003,29(4):56-58.
[55]宋建英,吴盛福.对危害松树幼林的桃蛀螟观察初报[J].华东昆虫学报,1992,1(2):53-55.
[56]宋强,何劲忠.微红梢斑螟危害枝梢的空间分布型及抽样技术研究初报[J].贵州林业科技,2003,31(4): 37-40.
[57]宋世涵,陈沐荣.利用引诱剂防治松材线虫病的研究[J].广东林业科技,1996,12(1):44-47.
[58]孙江华,严善春,张旭东.云杉球果小卷蛾性外激素的诱捕试验[J].中国森林病虫,2001,(2): 25-28.
[59]孙强,路浩,陈建卓.小菜蛾在春油菜生育历期及田间种群动态初探[J].黑龙江农业科学,2003,(5):16-17.
[60]孙小霞.甘肃祁连山自然保护区青海云杉主要嫩梢害虫预测预报技术研究[D].甘肃农业大学,2006.
[61]唐大武,孙汉洲,赵芳.金钱松小卷蛾性信息素的合成及诱芯的制备[J].中南林学院学报,2001,21(2):34-37.
[62]陶家义.利用物候预报害虫发生期[J].植物保护,1988,13(4):18.
[63]田恒德,严敖金.微红梢斑螟的研究[J].南京林业大学学报,1989,13(1):54-63.
[64]王涛.多树种配置林分中光肩星天牛种群动态的初步研究[D].北京林业大学,2004.
[65]王鸿哲,陈辉,康云霞.中国针叶树种实害虫研究进展[J]西北林学院学报,2003,(3) .23-28.
[66]邬祥光.昆虫生态学常用数学分析方法[M].北京:农业出版社,1985.
[67]伍德明,丁兆荣,崔君荣,等.微红梢斑螟性引诱剂的研究[J].林业科学,1986,22(4):368-340.
[68]伍德明.用性诱剂和赤眼蜂防治微红稍斑螟[J].森林病虫通讯,1989(4):19-20.
[69]武红敢.松毛虫早期灾害点的遥感监测.江西林业科技[J].1994,(5):42-43.
[70]温俊宝.微红梢斑螟危害对种子园油松生长的影响[J].森林病虫通讯, 1998,( 2):15-18
[71]向玉勇,杨茂发.昆虫性信息素研究应用进展[J].湖北农业科学,2006,45(2):250-255.
[72]萧刚柔主编.中国森林昆虫.北京[M]:中国林业出版社,1992.
[73]肖广江.椰心叶甲种群动态及控制措施研究[D].四川农业大学,2005
[74]宣家发,万东.松实小卷蛾生物学特性及防治研究[J].安徽林业科技,1996,(1):35-36.
[75]薛理靠,郑余良,米跃军,等.药剂防治桃蛀螟的试验研究[J].陕西农业科学,2006,(4):53-55.
[76]薛贤清,慕康治,崔力.国外森林害虫监测与预报的科技进展(上)[J],世界林业研究,1993,(2):27-31.
[77]薛贤清,慕康治,崔力.国外森林害虫监测与预报的科技进展(下)[J],世界林业研究,1993,(3):29-34.
[78]薛贤清.我国森林害虫预测预报的进展[J].林业科学研究,1993,6(专刊):75-82.
[79]阎凤鸣.化学生态学[M].北京:科学出版社,2003.
[80]杨保祥,部月琴.云斑天牛物候预侧预报初步研究[J].经济林研究,1990,8(1):58-59.
[81]杨存建等.遥感和GIS在森林病虫害监测管理中的应用模式[J].灾害学,1993,14(1):6-9.
[82]扬洲.计算机预测预报系统理论方法及应用研究[D].昆明理工大学,2007.
[83]张桂芬,阎晓华.用性信息素诱捕法防治槐小卷蛾研究[J].生态学报,2001,21(10):1586-1589.
[84]张润志,张勇.微红梢斑螟对不同年龄油松幼林危害程度调查[J].森林病虫通讯,1989(4):24-25.
[85]张孝羲.昆虫生态及预测预报[M].南京:农业出版社,1985.
[86]张永生,袁哲明,熊洁仪,等.基于SVR和CAR的多维时间序列分析及其在生态学中的应用[J].生态学报, 2007, 27(6): 2419-2424.
[87]张永生.害虫预测预报方法的研究进展[J].湖南农业科学,2009,(7):77-79.
[88]赵建伟,何玉仙,翁启勇.诱虫灯在中国的应用研究概况[J].华东昆虫学报,2008,17(1):76-80.
[89]赵锦年,姜景民,沈克勤.微红梢斑螟危害对火炬松幼林高生长的影响[J].浙江林业科技,2000,20(1):10-15.
[90]赵锦年,蒋平.松墨天牛引诱剂及引诱作用研究[J].林业科学研究,2000,13(3):262-267.
[91]赵晓琴,李莹.桃蛀螟测报方法与防治技术[J].西北园艺(果树专刊),2009,4:31.
[92]赵刚.青海云杉种实害虫发生危害研究[D]西北农林科技大学,2004.
[93]赵自君.黑龙江省水稻主产区稻瘟病流行情况气候区划及预测预报模型的研究. [D]黑龙江八一农垦大学,2008.
[94]周立阳,高增祥,李典谟.害虫预测预报的生态学基础和应用技术研究进展[J].生态学报,2001,21(6): 1066-1069.
[95]朱鹤鸣.松实小卷蛾的初步观察[J].安徽农学通报,2008,14(7):186-187.
[96]朱建华,陈顺立.森林病虫害预测预报[M].厦门大学出版社,2002:2-5.
[97]朱运钦.桃蛀螟的性诱剂测报及防治方法[J].山西果树,1998,(1):43.
[2]Bernd Blasius, et al.Complex dynamics and phase synchronization in spatially extended ecological systems.Nature,1999, 399:354-359.
[3]Choi K. S., Han K. S., Jeon M. J.J.Korean For.Soc.,2004,93(2):134-139.
[4]Gencay R. Nonlinear prediction of noisy time series with feedfor-ward networks.Phys.Lett A,1994,187:397-403.
[5]H Riedl, B A Croft, A J Howitt. Forecasting codling moth phenology based on pheromome trap catch andphysiological time models.Can Emtomol,1976,108(5):449-460.
[6]Iwao S,et al. Use of the regression of mean crowding on mean density forestimating sample size and the transformation of data for the analysis of variance.Ibid, 1968,10(2):210-214.
[7]Iwao S, Kuno E. An approach to the analysis of aggregation pattern in biological populations.Statistical Ecology, 1971,1:461-514.
[8]Kang C. H., Lee S. M., Chung Y. J.Korean J.Appl.Entomol.,2004,43(3):201-209.
[9]Liang Y C,Sun Y F.An improved method of support vector ma-chine and its applications to financial time series forecasting.Prog. Natural Sci., 2003, 13(9):696-700.
[10]Liu M. Y., Tian Y., Li Y. X.Entomol.Sin., 1994, 1(2):150-155.
[11]Morris R F. Predictive population equations based on key-factors.Men Ent Soc Can,1963,32:16-21.
[12] Pai P F,Lin C S.A hybrid ARIMA and support vector machinesmodel in stock price forecasting.Omega, 2005, 6:497-505.
[13]Roe, A D,Stein, J D,Gillette, N E,et al. Identification of Dioryctria Lepidoptera: Pyralidae in a seed orchard at Chico. California.Ann. Entomological Soc. Am.,2006,99 (3):433-448.
[14] Roland Mumm, Monika Hilker.Direct and indirect chemical defence of pine against folivorous insects. Trends plant sci., 2006,11(7):351-358.
[15]Thissena U, Brakela R van, Weijerb A P de, et al.Using supportvector machines for time series prediction. Chemometrics Intelligent Lab. Systems, 2003, 69:35-49.
[16]Varley G C, Gradwell G R. Recent advances in insect population dynamics. Am Rev Entomol, 1970, 15:1-24.
[17]Visser JH. Host odor perception in phytophagous insects. Annual Review of Entomology, 1986, 31: 121-144.
[18]Vapnik.The nature of statistical learning theory.NewYork: Springer Verlag Press,1995.
[19]柴希民,何志华.危害马尾松的桃蛀野螟[J].昆虫知识,1987,24(2):99-100.
[20]陈红.微红梢斑螟的初步观察[J].安徽农学通报,2007,13(11):215.
[21]陈湖海,赵云鲜,康乐.两种同域分布的草原蝗虫对植物挥发性化合物的嗅觉反应[J].中国科学,2003, 33(5):421-428.
[22]陈列.害虫发生期与物候关系观察[J].广西植保,1998,(4):38-41.
[23]陈湘南.夜光涂料及其开发动向[J].化工新型材料,2000,29(3):16-17.
[24]福建省林业科学研究所主编.福建森林昆虫[M].北京:中国农业科技出版社,1991.
[25]关继东.松阿扁叶蜂预测预报与防治技术的研究[D].东北林业大学,2003.
[26]郭斌,李林,李亚军,等.丙烯酸聚氨酯夜光涂料的工艺研究[J].现代涂料与涂装,2001,10(1):8-10.
[27]郭永新,白小康.桃蛀螟的发生规律与防治方法[J].西北园艺,2002,(2):53.
[28]韩景红,王军志.桃蛀螟的发生及防治[J].河南农业,2003,(3):20.
[29]黄启军.松树种实害虫防治[J].安徽林业,2003,(4):29
[30]嵇保中,刘曙雯,高江勇,等.松树梢果蛾类害虫研究进展[J].华东昆虫学报2008,17(2):149-155.
[31]况美华,刘曙雯,嵇保中,等.取食针叶的桃蛀螟越冬状况调查和生物学特性[J].昆虫知识,2008,2(8):12-13.
[32]李箐.微红梢斑螟的生物学特性及防治研究[J].林业实用技术,2003,9(1):29-30.
[33]柳小妮.甘肃省草地蝗虫预测预报专家系统的研究与开发[D].甘肃农业大学,2003.
[34]李念朋.有机桃园主要害虫和天敌种群动态及其害虫防治的初步研究[D].北京:中国农业大学,2005.
[35]李平.微红梢斑螟的生物学特性及其防治[J].华东昆虫学报,1999,8(2):4-5.
[36]李新岗.虫害诱导与松果梢斑螟的寄主选择[D]西北农林科技大学, 2006 .
[37]林志鹏,余能健,吴志远,等.福建明溪桃蛀螟的防治[J].福建林学院学报,1995,15(1):67-71.
[38]林志伟.诱捕器引诱松墨天牛试验[J].福建林业科技,2006,33(3):65-67.
[39]林志伟.寒地灰飞虱田间发生规律的研究[J].黑龙江农业科学2004,(6):24-26.
[40]刘立春.诱虫灯的研究进展及应用概况[J].华东昆虫学报,1994,3(1):75-78.
[41]刘立春,顾国华,陈建军,等.四种蛾类灯下行为特点初步研究[J]昆虫知识,1997,(2).11-15.
[42]刘立春,叶文飙.我国夜蛾趋光行为的研究及其应用[J]昆虫知识, 1998,( 3).21-25.
[43]刘应安.微红梢斑螟幼虫在两种松林中的空间分布格局研究[J].徐州师范大学学报,1998, 14(4):58-60.
[44]鹿金秋.桃蛀螟发生规律及生物学特性的研究[D].山东农业大学,2008.
[45]骆社周.森林病虫害预测预报系统的设计与研发[D].中国地质大学,2006.
[46]罗治建,赵升平,曾进,等.板栗桃蛀螟生活史、习性及防治技术研究[J].湖北林业科技,2000,(3):22-23.
[47]马盛安,鲁绪祥,吴献春.桃蛀螟危害松梢的研究[J].安徽林业科技,1995,森防专集:14-15.
[48]马飞,程遐年.害虫预测预报研究进展(综述)[J].安徽农业大学学报,2001,28(1):92-97.
[49]马飞,许晓风,张夕林.神经网络预警系统及其在害虫预测中的应用[J].昆虫知识,2002,39(2):115-119.
[50]苗进.华北地区大豆蚜Aphisglycines的种群动态和主要天敌控制能力的研究. [D]河北农业大学.2005.
[51]庞正轰.马尾松毛虫灾害预测预报综合技术研究[D].北京林业大学,2004.
[52]秦厚国,朱雪晶,罗任华,等.斜纹夜蛾发生期预测预报的研究——历期预测法[J].江西农业学报,2006,18(3):116-118.
[53]屈西峰,邵振润,王建强.30年来我国棉铃虫预测预报的进展[J].昆虫知识,1993,33(6): 357-360.
[54]沈建新,张惠琴周,等.应用灯下诱蛾量确定二化螟防治适期的方法探讨[J].植物保护,2003,29(4):56-58.
[55]宋建英,吴盛福.对危害松树幼林的桃蛀螟观察初报[J].华东昆虫学报,1992,1(2):53-55.
[56]宋强,何劲忠.微红梢斑螟危害枝梢的空间分布型及抽样技术研究初报[J].贵州林业科技,2003,31(4): 37-40.
[57]宋世涵,陈沐荣.利用引诱剂防治松材线虫病的研究[J].广东林业科技,1996,12(1):44-47.
[58]孙江华,严善春,张旭东.云杉球果小卷蛾性外激素的诱捕试验[J].中国森林病虫,2001,(2): 25-28.
[59]孙强,路浩,陈建卓.小菜蛾在春油菜生育历期及田间种群动态初探[J].黑龙江农业科学,2003,(5):16-17.
[60]孙小霞.甘肃祁连山自然保护区青海云杉主要嫩梢害虫预测预报技术研究[D].甘肃农业大学,2006.
[61]唐大武,孙汉洲,赵芳.金钱松小卷蛾性信息素的合成及诱芯的制备[J].中南林学院学报,2001,21(2):34-37.
[62]陶家义.利用物候预报害虫发生期[J].植物保护,1988,13(4):18.
[63]田恒德,严敖金.微红梢斑螟的研究[J].南京林业大学学报,1989,13(1):54-63.
[64]王涛.多树种配置林分中光肩星天牛种群动态的初步研究[D].北京林业大学,2004.
[65]王鸿哲,陈辉,康云霞.中国针叶树种实害虫研究进展[J]西北林学院学报,2003,(3) .23-28.
[66]邬祥光.昆虫生态学常用数学分析方法[M].北京:农业出版社,1985.
[67]伍德明,丁兆荣,崔君荣,等.微红梢斑螟性引诱剂的研究[J].林业科学,1986,22(4):368-340.
[68]伍德明.用性诱剂和赤眼蜂防治微红稍斑螟[J].森林病虫通讯,1989(4):19-20.
[69]武红敢.松毛虫早期灾害点的遥感监测.江西林业科技[J].1994,(5):42-43.
[70]温俊宝.微红梢斑螟危害对种子园油松生长的影响[J].森林病虫通讯, 1998,( 2):15-18
[71]向玉勇,杨茂发.昆虫性信息素研究应用进展[J].湖北农业科学,2006,45(2):250-255.
[72]萧刚柔主编.中国森林昆虫.北京[M]:中国林业出版社,1992.
[73]肖广江.椰心叶甲种群动态及控制措施研究[D].四川农业大学,2005
[74]宣家发,万东.松实小卷蛾生物学特性及防治研究[J].安徽林业科技,1996,(1):35-36.
[75]薛理靠,郑余良,米跃军,等.药剂防治桃蛀螟的试验研究[J].陕西农业科学,2006,(4):53-55.
[76]薛贤清,慕康治,崔力.国外森林害虫监测与预报的科技进展(上)[J],世界林业研究,1993,(2):27-31.
[77]薛贤清,慕康治,崔力.国外森林害虫监测与预报的科技进展(下)[J],世界林业研究,1993,(3):29-34.
[78]薛贤清.我国森林害虫预测预报的进展[J].林业科学研究,1993,6(专刊):75-82.
[79]阎凤鸣.化学生态学[M].北京:科学出版社,2003.
[80]杨保祥,部月琴.云斑天牛物候预侧预报初步研究[J].经济林研究,1990,8(1):58-59.
[81]杨存建等.遥感和GIS在森林病虫害监测管理中的应用模式[J].灾害学,1993,14(1):6-9.
[82]扬洲.计算机预测预报系统理论方法及应用研究[D].昆明理工大学,2007.
[83]张桂芬,阎晓华.用性信息素诱捕法防治槐小卷蛾研究[J].生态学报,2001,21(10):1586-1589.
[84]张润志,张勇.微红梢斑螟对不同年龄油松幼林危害程度调查[J].森林病虫通讯,1989(4):24-25.
[85]张孝羲.昆虫生态及预测预报[M].南京:农业出版社,1985.
[86]张永生,袁哲明,熊洁仪,等.基于SVR和CAR的多维时间序列分析及其在生态学中的应用[J].生态学报, 2007, 27(6): 2419-2424.
[87]张永生.害虫预测预报方法的研究进展[J].湖南农业科学,2009,(7):77-79.
[88]赵建伟,何玉仙,翁启勇.诱虫灯在中国的应用研究概况[J].华东昆虫学报,2008,17(1):76-80.
[89]赵锦年,姜景民,沈克勤.微红梢斑螟危害对火炬松幼林高生长的影响[J].浙江林业科技,2000,20(1):10-15.
[90]赵锦年,蒋平.松墨天牛引诱剂及引诱作用研究[J].林业科学研究,2000,13(3):262-267.
[91]赵晓琴,李莹.桃蛀螟测报方法与防治技术[J].西北园艺(果树专刊),2009,4:31.
[92]赵刚.青海云杉种实害虫发生危害研究[D]西北农林科技大学,2004.
[93]赵自君.黑龙江省水稻主产区稻瘟病流行情况气候区划及预测预报模型的研究. [D]黑龙江八一农垦大学,2008.
[94]周立阳,高增祥,李典谟.害虫预测预报的生态学基础和应用技术研究进展[J].生态学报,2001,21(6): 1066-1069.
[95]朱鹤鸣.松实小卷蛾的初步观察[J].安徽农学通报,2008,14(7):186-187.
[96]朱建华,陈顺立.森林病虫害预测预报[M].厦门大学出版社,2002:2-5.
[97]朱运钦.桃蛀螟的性诱剂测报及防治方法[J].山西果树,1998,(1):43.