Lacewing Density and Dynamics on Different Weeds in Cotton-growing Region of Northern Xinjiang

doi:10.16409/j.cnki.2095-039x.2021.03.015

Abstract

Abstract: In 2015-2017, the densities and dynamics of lacewings on 17 common weeds around cotton fields were systematically investigated using a sweeping method in the northern Xinjiang cotton-growing region. The results indicated there were six lacewing species in weed strips of northern Xinjiang, with the dominant species of Chrysopa carnea (64.8%) and Chrysopa phyllochroma (25.8%). The density of lacewings varied significantly on different weeds. Medicago sativa and Cannabis sativa harbored significantly higher lacewing densities among all weed species in 2015 and 2016, respectively. Higher densities of lacewings were found on Glycyrrhiza uralensis, Apocynum venetum, Sophora alopecuroides in 2017. Besides, obvious seasonal fluctuation of lacewing density was also observed. The density of lacewings during flowering and boll-opening stages of cotton (July-September) was significantly higher than that in cotton seedling and bud stages (May-June). This study clarified population composition, densities, and dynamics of lacewings on various weeds adjacent to cotton fields in northern Xinjiang. M. sativa, C. sativa, G. uralensis, A. venetum, and S. alopecuroides were proved to have the potential as functional plants for lacewing conservation. These results provide a scientific basis to promote the conservation and biological control service of predatory lacewings.

Key words: functional plants, non-crop habitat, natural enemy conservation, lacewing, density, dynamic

CLC Number:

S476.1

LIU Yangtian, LIU Bing, LI hui, LIU Jiamei, WANG Peiling, LU Yanhui. Lacewing Density and Dynamics on Different Weeds in Cotton-growing Region of Northern Xinjiang[J]. Chinese Journal of Biological Control, 2021, 37(4): 671-678.

References

[1] 陆宴辉, 梁革梅, 张永军, 等. 二十一世纪以来棉花害虫治理成就与展望[J]. 应用昆虫学报, 2020, 57(3):477-490.
[2] Landis D A, Wratten S D, Gurr G M. Habitat management to conserve natural enemies of arthropod pests in agriculture[J]. Annual Review of Entomology, 2000, 45(1):175.
[3] 杨泉峰, 欧阳芳, 门兴元, 等. 功能植物的作用原理、方式及研究展望[J]. 应用昆虫学报, 2020, 57(1):41-48.
[4] Holland J M, Bianchi F J, Entling M H, et al. Structure, function and management of semi-natural habitats for conservation biological control:a review of European studies[J]. Pest Management of Science, 2016, 72(9):1638-1651.
[5] 初炳瑶, 陈法军, 马占鸿. 农业生物多样性控制作物病虫害的方法与原理[J]. 应用昆虫学报, 2020, 57(1):28-40.
[6] Balmer O, Pfiffner L, Schied J, et al. Noncrop flowering plants restore top-down herbivore control in agricultural fields[J]. Ecology and Evolution, 2013, 3(8):2634-2646.
[7] Ditner N, Balmer O, Beck J, et al. Effects of experimentally planting non-crop flowers into cabbage fields on the abundance and diversity of predators[J]. Biodiversity and Conservation, 2013, 22(4):1049-1061.
[8] Tschumi M, Albrecht M, Baertschi C, et al. Perennial, species-rich wildflower strips enhance pest control and crop yield[J]. Agriculture, Ecosystems and Environment, 2016, 220:97-103.
[9] Ganser D, Knop E, Albrecht M. Sown wildflower strips as overwintering habitat for arthropods:effective measure or ecological trap?[J]. Agriculture, Ecosystems and Environment, 2019, 275:123-131.
[10] Pollier A, Tricault Y, Plantegenest M, et al. Sowing of margin strips rich in floral resources improves herbivore control in adjacent crop fields:Floral resources improve herbivore control[J]. Agricultural and Forest Entomology, 2018, 21(1):119-129.
[11] Campbell A J, Wilby A, Sutton P, et al. Getting more power from your flowers:multi-functional flower strips enhance pollinators and pest control agents in apple orchards[J]. Insects, 2017, 8(3):101.
[12] Ribeiro A L, Gontijo L M. Alyssum flowers promote biological control of collard pests[J]. BioControl, 2017, 62(2):185-196.
[13] 王淑会, 杨琼, 张文慧, 等. 生草苹果园绣线菊蚜及其天敌发生规律研究[J]. 安徽农业科学, 2014, 42(10):2945-2948.
[14] 卢增斌, 于毅, 门兴元, 等. 苹果园地面植被优化组合对害虫和天敌群落的影响[J]. 山东农业科学, 2016, 48(8):102-108.
[15] Zhang R Z, Liang H B, Tian C Y, et al. Biological mechanism of controlling cotton aphid (Homoptera:Aphididae) by the marginal alfalfa zone surrounding cotton field[J]. Chinese Science Bulletin, 2000, 45(4):355-358.
[16] Zhang R Z, Ren L, Wang C L, et al. Cotton aphid predators on alfalfa and their impact on cotton aphid abundance[J]. Applied Entomology and Zoology, 2004, 39(2):235-241.
[17] 杨泉峰, 欧阳芳, 门兴元, 等. 北方富含天敌的功能植物的发现与应用[J]. 应用昆虫学报, 2018, 55(5):942-947.
[18] 苏文雯, 杨泉峰, 欧阳芳, 等. 功能植物苣荬菜的特征及其应用潜能[J]. 应用昆虫学报, 2020, 57(1):228-234.
[19] 罗延亮, 李雪玲, 李辉, 等. 苦豆子条带对棉田捕食性天敌发生的影响[J]. 新疆农业科学, 2019, 56(1):74-83.
[20] 李雪玲, 罗延亮, 李辉, 等. 田埂碱蓬带对棉田多异瓢虫种群发生的调控作用[J]. 新疆农业科学, 2019, 56(1):13-22.
[21] Paredes D, Karp D S, Chaplin-Kramer R, et al. Natural habitat increases natural pest control in olive groves:economic implications[J]. Journal of Pest Science, 2019, 92(3):1111-1121.
[22] Letourneau D K, Armbrecht I, Rivera B S, et al. Does plant diversity benefit agroecosystems? A synthetic review[J]. Ecological Applications, 2011, 21(1):9-21.
[23] 陆宴辉, 杨益众, 印毅, 等. 棉花抗蚜性及抗性遗传机制研究进展[J]. 昆虫知识, 2004, 41(4):291-294.
[24] 张润志, 任立, 张广学. 新疆棉区棉蚜控制策略探讨[J]. 中国生物防治, 2000, 16(4):183-185.
[25] 丁瑞丰, 朱晓华, 阿克旦·吾外士, 等. 人工释放普通草蛉田间防治棉蚜效果研究[J]. 植物保护, 2015, 41(2):200-204.
[26] 王林霞, 田长彦, 马英杰, 等. 玉米诱集带对棉田天敌种群动态的影响[J]. 干旱地区农业研究, 2004(1):86-89.
[27] 赵建周, 杨奇华, 周明牂. 棉田综合种植油菜与高粱诱集带控制棉花害虫的效果[J]. 植物保护, 1989(6):13-14.
[28] 雒珺瑜, 崔金杰, 王春义. 不同生态调控方式对棉田棉蚜种群消长动态的影响[J]. 中国棉花, 2014, 41(1):17-19.
[29] 杨静. 北疆棉区非棉田生境对捕食性天敌的保育功能[D]. 石河子:石河子大学,
[30] 杨静, 龙海, 孙会, 等. 北疆棉区食蚜蝇种类及其生境选择特性[J]. 中国生物防治学报, 2016, 32(5):593-597.
[31] 傅一峰, 刘冰, 罗延亮, 等. 北疆棉田非作物生境食蚜蝇种群消长动态[J]. 中国生物防治学报, 2019, 35(1):1-8.
[32] 丁岩钦. 昆虫数学生态学[M]. 北京:科学出版社, 1994, 437-442.
[33] R Core Team R:A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/,2019.
[34] Felipe D M. agricolae:Statistical Procedures for Agricultural Research. R package version 1.3-3. https://CRAN.R-project.org/package=agricolae,2020.
[35] Hadley W. ggplot2:Elegant Graphics for Data Analysis[M]. New York:Springer-Verlag, 2016.
[36] Raivo K. pheatmap:Pretty Heatmaps. R package version 1.0.12. https://CRAN.R-project.org/package=pheatmap,2019.
[37] 杨海峰, 王惠珍, 马祁. 新疆棉花害虫天敌的发生规律及控制效应[J]. 八一农学院学报, 1986(2):39-45.
[38] 阿力甫·那思尔, 艾山·阿布都热依木, 孟玲, 等. 北疆棉田捕食性天敌昆虫应对棉蚜的数量反应[J]. 应用昆虫学报, 2015, 52(4):877-882.