Volume 41 Issue 4
Jul.  2024
Turn off MathJax
Article Contents
Article Navigation >  Journal of Zhejiang A&F University  > 2024  >  41(4): 735-743

LAN Zhenzhen, WANG Xinpu, SHI Xingwen, et al. Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia[J]. Journal of Zhejiang A&F University, 2024, 41(4): 735-743. DOI: 10.11833/j.issn.2095-0756.20230581
Citation: LAN Zhenzhen, WANG Xinpu, SHI Xingwen, et al. Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia[J]. Journal of Zhejiang A&F University, 2024, 41(4): 735-743. DOI: 10.11833/j.issn.2095-0756.20230581
shu

Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia

DOI: 10.11833/j.issn.2095-0756.20230581
  • 1.

    School of Agriculture, Ningxia University, Yingchuan 750021, Ningxia, China

  • 2.

    Luoshan National Nature Reserve Administration of Ningxia, Hongsipu 751999, Ningxia, China

  • Received Date: 2023-12-01
  • Accepted Date: 2024-03-27
  • Rev Recd Date: 2024-03-24
    • Available Online: 2024-07-12
  • Publish Date: 2024-07-12
  •   Objective  The objective is to study the relationship between the occurrence of Acantholyda posticalis larvae and stand and site factors, and screen out the key factors affecting the occurrence of A. posticalis larvae.   Method  21 sample plots were set up from 2022 to 2023 in the main occurrence areas of the larvae in Luoshan National Nature Reserve of Ningxia to investigate the larval population density of A. posticalis, stand factors and site factors. Using stepwise regression analysis, the key factors affecting the average population density of A. posticalis larvae were screened out. The relationship between mean population density and key factors was obtained by variance analysis and correlation analysis.   Result  By stepwise regression analysis, it was found that herb coverage, crown width, canopy density, and slope position were the key factors affecting A. posticalis larval occurrence. A linear prediction equation for the average larval population density was established based on the key factors. Among the 4 key factors selected, herb coverage and slope position inhibited the larval occurrence, while crown width and canopy density promoted the larval occurrence.   Conclusion  Larvae of A. posticalis are easy to occur in uphill forest areas with low herb coverage, high canopy density and crown width in the understory. It is suggested that these forest areas be taken as the key areas for prevention and control, and herb coverage be adjusted to above 0.3, crown width below 2.5 m and canopy density below 0.7, so as to realize the ecological control of the larval population of A. posticalis in this area. [Ch, 5 fig. 3 tab. 39 ref.]
  • [1] WANG Yuqi, ZHANG Qianqian, ZHANG Wenzhuo, YU Yefei, LÜ Qiangfeng, TENG Qiumei, LI Yongchun.  Response of yield and tetrahydropalmatine content of Corydalis yanhusuo to canopy density and litter treatment of Chinese fir forest . Journal of Zhejiang A&F University, 2024, 42(): 1-11. doi: 10.11833/j.issn.2095-0756.20240461
    [2] CHEN Siyu, LIU Xianzhao, WANG Yixiang, LIANG Dan.  Individual tree detection in the high canopy density Larix principis-rupprechtii forest based on airborne LiDAR . Journal of Zhejiang A&F University, 2022, 39(4): 800-806. doi: 10.11833/j.issn.2095-0756.20210399
    [3] WANG Yuyang, WANG Yixiang, LI Mingzhe, LIANG Dan.  Estimation method of Phyllostachys edulis forest canopy density based on UAV visible image . Journal of Zhejiang A&F University, 2022, 39(5): 981-988. doi: 10.11833/j.issn.2095-0756.20210576
    [4] XIONG Can, TANG Huichao, XU Bin, HONG Quan.  Using characteristics and satisfaction of country greenway . Journal of Zhejiang A&F University, 2019, 36(1): 154-161. doi: 10.11833/j.issn.2095-0756.2019.01.019
    [5] JIA Penggang, XIA Kai, DONG Chen, FENG Hailin, YANG Yinhui.  Predicting DBH of a single Ginkgo biloba tree based on UAV images . Journal of Zhejiang A&F University, 2019, 36(4): 757-763. doi: 10.11833/j.issn.2095-0756.2019.04.016
    [6] TANG Honghui, ZHAO Qing, YAN Jun, YANG Qing.  Landscape features of urban forest greenbelts in the Pearl River Delta . Journal of Zhejiang A&F University, 2016, 33(5): 784-789. doi: 10.11833/j.issn.2095-0756.2016.05.009
    [7] XIAO Jiujin, LIN Honggui, ZHOU Xin, YOU Hua, LI Yun, ZHANG Jian.  Soil fauna community structure in Cryptomeria fortunei artificial stands at different slope elevations in summer . Journal of Zhejiang A&F University, 2016, 33(2): 257-264. doi: 10.11833/j.issn.2095-0756.2016.02.010
    [8] LIAO Xiaofeng, LONG Xiuqin, LI Anding, XIE Yuangui.  Water depth ecological amplitude of Alternanthera philoxeroides based on coverage and plant height in the Caohai Wetland . Journal of Zhejiang A&F University, 2015, 32(4): 643-647. doi: 10.11833/j.issn.2095-0756.2015.04.022
    [9] YAO Zhi, ZHANG Xiaoli.  Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion . Journal of Zhejiang A&F University, 2015, 32(3): 392-398. doi: 10.11833/j.issn.2095-0756.2015.03.009
    [10] ZHAO Xiao, LÜ Yulong, WANG Cong, LI Yadan, DU Huaqiang.  Spatial distribution for leaf area index and canopy closure of Phyllostachys edulis stand using Cokriging . Journal of Zhejiang A&F University, 2014, 31(4): 560-569. doi: 10.11833/j.issn.2095-0756.2014.04.011
    [11] ZHANG Meng-tao, KANG Xin-gang, CAI Shuo.  Biomass for saplings of primary species in a spruce-fir understory of the Changbai Mountains . Journal of Zhejiang A&F University, 2012, 29(5): 655-660. doi: 10.11833/j.issn.2095-0756.2012.05.003
    [12] FAN Ye-qing, ZHOU Guo-mo, SHI Yong-jun, DONG De-jin, ZHOU Yu-feng.  Relationship of slope aspect and position on biomass and carbon storage in a Phyllostachys edulis stand . Journal of Zhejiang A&F University, 2012, 29(3): 321-327. doi: 10.11833/j.issn.2095-0756.2012.03.001
    [13] YAO Zhao-bin, GAO Yong, ZHAN Min, ZHANG Jian-guo.  Research on satisfactory degree of senior summer tourists . Journal of Zhejiang A&F University, 2011, 28(6): 949-952. doi: 10.11833/j.issn.2095-0756.2011.06.019
    [14] LI Jin-liang, ZHENG Xiao-xian.  Center setting of circular plot in the investigation of plantation density . Journal of Zhejiang A&F University, 2008, 25(1): 55-59.
    [15] JIN Chun-de, ZHANG Mei-shu, WEN Gui-feng, LIU Ji-sheng2, ZHANG Peng.  Radial variations of the timber properties of Pinus densifiora planted in different slope places . Journal of Zhejiang A&F University, 2004, 21(2): 119-124.
    [16] LIN Qing-lan, LI Ke-en, XU Wen-chen, CAI Yi-ming.  Bionomics and control of Chinolyda flagellicornis . Journal of Zhejiang A&F University, 2001, 18(4): 420-423.
    [17] Wu Yanxiong, Guo Renjian, Zhou Guomo.  Warning degree classification of regional forest resources early-warning . Journal of Zhejiang A&F University, 1999, 16(1): 70-75.
    [18] Xu Anfang, Wu Longgao, Hu Zhongcheng, Wu Weigang Qiu Runsheng, Guo Youyi., .  Chinese fir: related expressions between diameter breast-high and crown width and their application. . Journal of Zhejiang A&F University, 1998, 15(2): 131-137.
    [19] He Fuji, Wu Mingan, Ni Rongxin, Xie Zhengcheng, Zhang Jianzhong..  Effect of Canopy Density on Seed Yield of Chinese Fir in Seed Orchard. . Journal of Zhejiang A&F University, 1995, 12(3): 311-315.
    [20] Lü Xiaoping, Jin Genming, Zhao Renyou, Zhang Huaxiang.  Bionomics of Chinolyda flagellicornis (F.smith) . Journal of Zhejiang A&F University, 1993, 10(1): 16-22.
  • [1]
    ZHANG Tongxin, SUN Xugen, CUI Weizheng, et al. Selective behaviors of Acantholyda posticalis to different trees [J]. Scientia Silvae Sinicae, 2006, 42(6): 66 − 70.
    [2]
    JIA Yanxia, TIAN Huigang, JIANG Ling, et al. Study on spatial distribution patterns of overwintering larvae of Acantholyda posticalis [J]. Forest Pest and Disease, 2017, 36(3): 5 − 7, 12.
    [3]
    LIANG Zhonggui, LI Jianjun, LIU Jianqiang, et al. Research progress on Acantholyda posticalis [J]. China Plant Protection, 2007, 27(5): 14 − 17.
    [4]
    ZHAO Zihua. From “integrated pest management” to “ecologically based pest management” [J]. Chinese Science Bulletin, 2016, 61(18): 2027 − 2034.
    [5]
    ZHAO Zihua, MA Jianhua, GAO Feng, et al. Systematic strategy of ecologically based pest management of insect pest population at landscape scales [J]. Chinese Journal of Biological Control, 2021, 37(5): 855 − 862.
    [6]
    SÁNCHEZ-MARTINEZ G, WAGNER M R. Bark beetle community structure under four Ponderosa pine forest stand conditions in northern Arizona [J]. Forest Ecology and Management, 2002, 170(1/3): 145 − 160.
    [7]
    GRAY D R. The relationship between climate and outbreak characteristics of the spruce budworm in eastern Canada [J]. Climatic Change, 2008, 89: 447 − 449.
    [8]
    JACTEL H, BROCKEROFF E G. Tree diversity reduces herbivory by forest insects [J]. Ecology Letters, 2007, 10(9): 835 − 848.
    [9]
    PRATHER R M, CASTILLIONI K, WELTI E A R, et al. Abiotic factors and plant biomass, not plant diversity, strongly shape grassland arthropods under drought conditions [J/OL]. Ecology, 2020, 101(6): e03033[2023-11-01]. doi: 10.1002/ecy.3033.
    [10]
    JOHN P C, LAURA J N, WILLIAM R M, et al. Influence of landscape factors and abiotic conditions on dispersal behavior and overwintering site selection by Halyomorpha halys (Hemiptera: Pentatomidae) [J]. Journal of Economic Entomology, 2020, 113(4): 2016 − 2021.
    [11]
    FORISTER M L, NOVOTNY V, PANORSKA A K, et al. The global distribution of diet breadth in insect herbivores [J]. Proceedings of the National Academy of Sciences, 2014, 112(2): 442 − 447.
    [12]
    LI Danchun, FU Zuolin, XU Hongxia, et al. Effects of stand factors of Pinus tabulaeformis stand on damage of Matsucoccus sinensis in Bailongjiang forest area [J]. Forest Research, 2021, 34(3): 180 − 186.
    [13]
    WERNER F A, HOMEIER J. Is tropical montane forest heterogeneity promoted by a resource-driven feedback cycle? Evidence from nutrient relations, herbivory and litter decomposition along a topographical gradient [J]. Functional Ecology, 2015, 29(3): 430 − 440.
    [14]
    KONG Tingting, LIU Aihua, ZHANG Jingwen. Relationship between the stand factors and population density of Agrilus mali Matsumura in wild apple trees in Tianshan Mountain [J]. China Plant Protection, 2019, 39(11): 42 − 46.
    [15]
    SHAO Fangli, YU Xinxiao, ZHEN Jiangkun, et al. Relationships between dominant arbor species distribution and environmental factors of shelter forests in the Beijing mountain area [J]. Acta Ecologica Sinica, 2012, 32(19): 6092 − 6099.
    [16]
    REN Dezhi, GE Liwen, LUO Daqing. A method for estimating small-scale forest crown closure and its application [J]. China Forestry Science and Technology, 2014, 28(1): 94 − 97.
    [17]
    ZHOU Runhui, TANG Yongbin, WANG Min, et al. Species diversity and soil physicochemical properties at Eucalyptus robusta plantations of different ages in Weiyuan [J]. Chinese Journal of Applied and Environmental Biology, 2021, 27(3): 742 − 748.
    [18]
    ZENG Fanyong, SUN Zhiqiang. Mechanism, hypothesis and evidence of herbivorous insect-host interactions in forest ecosystem [J]. Acta Ecologica Sinica, 2014, 34(5): 1061 − 1071.
    [19]
    LANTSCHNER M V, CORLEY J C. Spatiotemporal outbreak dynamics of bark and wood-boring insects [J/OL]. Current Opinion in Insect Science, 2023, 55: 101003 [2023-11-01]. doi: 10.1016/j.cois.2022.101003.
    [20]
    ZHAN Zhongyi, YU Linfeng, REN Lili, et al. The association between stand and landscape level factors and red turpentine beetle damage in different infestation stages [J/OL]. Forest Ecology and Management, 2023, 531: 120790 [2023-11-01]. doi: 10.1016/j.foreco.2023.120790.
    [21]
    XIN Weidong, DU Yidan, LIU Huayu, et al. Responses and biological indications of ground-dwelling arthropods diversity to different vegetation restoration patterns in coal gangue [J]. Ecology and Environmental Sciences, 2022, 31(10): 2079 − 2088.
    [22]
    HU Ruirui, LIANG Jun, XIE Xian, et al. Relationship between Cephalcia kunyushanica occurrence and stand factors of Pinus densiflora pure forests [J]. Chinese Journal of Ecology, 2019, 38(5): 1285 − 1291.
    [23]
    TANG Yanlong, YANG Zhongqi, GAO Shangkun, et al. A study on host tree, host and environmental factors affecting the parasitism of Iphiaulax monochamusi Yang (Hymenoptera: Braconidae), a larval parasitoid of Monochamus alternatus (Coleoptera: Cerambycidae) [J]. Forest Research, 2018, 31(1): 72 − 77.
    [24]
    HAN Daxiao, WANG Qianxue, WANG Shuo, et al. Effects of topography and forest vegetation factors on occurrence and population size of overwintering Dendrolimus superans [J]. Forest Research, 2023, 36(2): 144 − 152.
    [25]
    ZENG Kanghua. Econometrics [M]. Beijing: Tsinghua University Press, 2016.
    [26]
    LIU Qiang, WU Zhiwei, LIN Shitao, et al. Spatial point pattern analysis of pine wilt disease occurrence and its influence factors [J]. Chinese Journal of Applied Ecology, 2022, 33(9): 2530 − 2538.
    [27]
    PANG Shengjiang, TANG Cheng, ZHANG Pei, et al. Attack factors of Arbela spp. in Betula alnoides plantations at mountain Daqingshan, Guangxi [J]. Journal of Northeast Forestry University, 2016, 44(11): 85 − 88.
    [28]
    LI Qiao, CHEN Youqing, ZHOU Xingyin, et al. Insect communities in Eucalyptus plantations in Yuanmou Arid-hot Valley [J]. Journal of Zhejiang Forestry College, 2008, 25(4): 502 − 506.
    [29]
    BELLONE D, KLAPWIJK M J, BJORKMAN C. Habitat heterogeneity affects predation of European pine sawfly cocoons [J]. Ecology and Evolution, 2017, 7(24): 11011 − 11020.
    [30]
    HUI Gangying, ZHANG Lianjin, HU Yanbo, et al. Stand crowding degree and its application [J]. Journal of Beijing Forestry University, 2016, 38(10): 1 − 6.
    [31]
    ZHANG Yecheng, ZHANG Huaiqing, CHEN Yongfu, et al. Study of tree competition index based on crown feature [J]. Forest Research, 2016, 29(1): 80 − 84.
    [32]
    O’ROURKE M E, PETERSEN M J. Extending the ‘resource concentration hypothesis’ to the landscape-scale by considering dispersal mortality and fitness costs [J]. Agriculture,Ecosystems &Environment, 2017, 249: 1 − 3.
    [33]
    DONG Wei, LIU Tairui, QIN Zhijie, et al. Research on the characteristics of soil physicochemical properties and microbial biomass carbon and nitrogen in natural Pinus tabulaeformis forests with different stand densities [J]. Ecology and Environmental Sciences, 2019, 28(1): 65 − 72.
    [34]
    ZHOU Hongyang, ZHANG Danju, ZHANG Jie, et al. Effects of canopy density on the functional group of soil macro fauna in Pinus massoniana plantations [J]. Chinese Journal of Applied Ecology, 2017, 28(6): 1860 − 1868.
    [35]
    ZHANG Zhiqiang, ZHANG Xingyao, LIN Lin, et al. Impact of the stand characteristics of Pinus densiflora pure forests on the infestations of Cephalcia kunyushanica in Kunyushan region [J]. Acta Ecologica Sinica, 2010, 30(4): 857 − 866.
    [36]
    LUO Xianyi, ZHANG Yongguang. Monitoring forest pests and its driving factors based on multi-source remote sensing data [J]. Spacecraft Recovery &Remote Sensing, 2022, 43(6): 129 − 140.
    [37]
    CHENG Lichao, CHI Defu. Effect of site factors and stand factors on Malacosoma neustria testacea Motschulsky [J]. Journal of Hunan Agricultural University (Natural Sciences), 2016, 42(2): 177 − 181.
    [38]
    CHENG Lichao, CHI Defu. Effects of site and stand factors on the average population density of Lymantria dispar [J]. Journal of Northwest Forestry University, 2017, 32(6): 224 − 227.
    [39]
    XIAO Jiujin, LIN Honggui, ZHOU Xin, et al. Soil fauna community structure in Cryptomeria fortunei artificial stands at different slope elevations in summer [J]. Journal of Zhejiang A&F University, 2016, 33(2): 257 − 264.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(5)  / Tables(3)

Get Citation
PDF
XML

Article views(324) PDF downloads(22) Cited by()

Related
Proportional views

Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia

doi: 10.11833/j.issn.2095-0756.20230581
  • 1. School of Agriculture, Ningxia University, Yingchuan 750021, Ningxia, China
  • 2. Luoshan National Nature Reserve Administration of Ningxia, Hongsipu 751999, Ningxia, China
  • Received Date: 2023-12-01
  • Accepted Date: 2024-03-27
  • Rev Recd Date: 2024-03-24
  • Available Online: 2024-07-12
  • Publish Date: 2024-07-12

Abstract:   Objective  The objective is to study the relationship between the occurrence of Acantholyda posticalis larvae and stand and site factors, and screen out the key factors affecting the occurrence of A. posticalis larvae.   Method  21 sample plots were set up from 2022 to 2023 in the main occurrence areas of the larvae in Luoshan National Nature Reserve of Ningxia to investigate the larval population density of A. posticalis, stand factors and site factors. Using stepwise regression analysis, the key factors affecting the average population density of A. posticalis larvae were screened out. The relationship between mean population density and key factors was obtained by variance analysis and correlation analysis.   Result  By stepwise regression analysis, it was found that herb coverage, crown width, canopy density, and slope position were the key factors affecting A. posticalis larval occurrence. A linear prediction equation for the average larval population density was established based on the key factors. Among the 4 key factors selected, herb coverage and slope position inhibited the larval occurrence, while crown width and canopy density promoted the larval occurrence.   Conclusion  Larvae of A. posticalis are easy to occur in uphill forest areas with low herb coverage, high canopy density and crown width in the understory. It is suggested that these forest areas be taken as the key areas for prevention and control, and herb coverage be adjusted to above 0.3, crown width below 2.5 m and canopy density below 0.7, so as to realize the ecological control of the larval population of A. posticalis in this area. [Ch, 5 fig. 3 tab. 39 ref.]

LAN Zhenzhen, WANG Xinpu, SHI Xingwen, et al. Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia[J]. Journal of Zhejiang A&F University, 2024, 41(4): 735-743. DOI: 10.11833/j.issn.2095-0756.20230581
Citation: LAN Zhenzhen, WANG Xinpu, SHI Xingwen, et al. Key factors affecting the occurrence of Acantholyda posticalis larvae in Luoshan Mountains, Ningxia[J]. Journal of Zhejiang A&F University, 2024, 41(4): 735-743. DOI: 10.11833/j.issn.2095-0756.20230581
shu

    HTML

  • 松阿扁叶蜂Acantholyda posticalis是危害油松Pinus tabuliformis、赤松P. densiflora、华山松P. armandii等松类的主要食叶害虫[1]。该虫1 a发生1代，越冬幼虫4月下旬在地下化蛹，5月初成虫羽化，6月上、中旬幼虫在树上取食松针，7月下旬老熟幼虫在树冠下方吐丝下树进入土壤表层做土室越夏、越冬[2]。该幼虫危害严重时，针叶全无，只留下叶柄，受灾后的油松枝梢上布满残渣和粪屑，林分似火烧，松林成橘褐色，连续受害2~3 a，林木会干枯死亡[3]。昆虫作为森林生态系统的重要有机组成部分，其种群暴发受森林植被及环境的直接或间接影响[4−5]，对系统内的物种组成、空间结构、生态功能产生极大的负面作用[6−7]。影响森林害虫种群进一步扩散暴发的因素既包括植物、动物、微生物等生物因子，也包括海拔、坡向、坡位等非生物因子[8−9]。

    在森林生态系统中，林分因子和立地因子与森林虫害关系密切[10−11]。林分因子和立地因子与有害生物共同建立了相互依存和制约的关系，特别是林分因子中森林群落结构作用于食叶害虫来调控害虫的种群密度。如中华松针蚧Matsucoccus sinensis在低密度油松林中种群数量多，高密度林分低；枝下高较高的油松受中华松针蚧危害严重，枝下高较低的油松林受危害程度低[12]。立地因子通常是以影响寄主植物的质量来调控害虫种群密度。如WERNER等[13]认为：随坡度的减小，土壤厚度和养分储量会增加，有利于叶片中的营养物质升高，从而促进森林虫害的发生。苹果小吉丁虫Agrilus mali虫口密度与坡度、海拔呈显著负相关，与林木胸径呈显著正相关[14]。因此，加快森林虫害生态调控理论和可操作体系的系统研究显得尤为迫切，急需在生态系统的尺度上开展林分因子和立地因子与有害生物关系的研究。通过调整林分结构来实现对害虫的生态调控，是一项重要且可持续的森防措施。本研究以宁夏罗山国家级自然保护区林区的食叶害虫松阿扁叶蜂幼虫为研究对象，开展罗山森林生态系统林分因子和立地因子对松阿扁叶蜂幼虫种群数量影响的研究，旨在探讨该幼虫平均虫口密度与各因子间多重复杂的关系，揭示影响罗山区域松阿扁叶蜂幼虫平均虫口密度的关键因子，为控制松阿扁叶蜂提供依据。

    • 1.   研究地区与研究方法

      1.1.   研究区域概况

    • 宁夏罗山国家级自然保护区(37°11′~37°25′N，106°04′~106°24′E)位于宁夏回族自治区红寺堡区，地处贺兰山和六盘山之间的过渡带，是宁夏三大天然林区之一。保护区海拔为1 560.0~2 624.5 m，由呈南北走向的大、小罗山2个山体构成，南北长36 km，东西宽18 km。保护区属典型温带大陆性气候，温差大，降水少，蒸发量是降水量的9倍；全年主风向为东南风，其次西北风，四季分明，且冬春长、夏秋短。土壤类型单一，有普通山地灰褐土、淡灰钙土、风沙土和山地侵蚀灰褐土。森林覆盖率为9.6%，总蓄积量2.03×105 m3，乔木以油松和青海云杉Picea crassifolia为主，主要灌木有灰栒子Cotoneaster acutifolius、银露梅Potentilla glabra、紫丁香Lilium tenuifolium、榆树Ulmus pumila、水栒子Cotoneaster multiflorus、甘肃山楂Lonicera tangutica、黄刺玫Caragana frutex、绣线菊Spiraea salicifolia和虎榛子Ostryopsis davidiana；主要地被植物有蓬子菜Galium verum、小花草玉梅Anemone rivularis、大戟Euphorbia pekinensis、四叶葎Galium bungei、山丹Lilium pumilum等。

      • 1.2.   试验设计

    • 于2022和2023年6—9月，对研究区进行实地调查。根据林木分布海拔，随机设立有代表性林分作为样地，其中不同坡向(半阳坡、阴坡、半阴坡)、坡位(上坡、中坡和下坡)、坡度(16°≤坡度＜26°为斜坡，26°≤坡度＜36°为陡坡，36°≤坡度＜46°为急坡)的样地至少重复3次，共21块。每块标准样地面积为20 m×20 m，同一坡向保留10 m以上保护行，同一坡位保留20 m以上隔离带。用全球定位系统(GPS)获得地理坐标。调查每块样地松阿扁叶蜂幼虫数量，计算虫口密度。另外，调查标准样地林分和立地因子。样地基本信息如表1所示。

      样地号海拔/m坡度/(°)坡向坡位优势树种林分类型样地号海拔/m坡度/(°)坡向坡位优势树种林分类型
      12286.0834.042油松纯林122324.7325.062油松纯林　
      22290.6133.041油松纯林132322.7224.061油松纯林　
      32227.3942.051油松纯林142315.6023.542青海云杉+油松混交林
      42217.6340.052油松纯林152323.4924.551油松纯林　
      52196.9533.053油松纯林162307.9925.052油松纯林　
      62201.7530.053油松纯林172418.0029.562青海云杉+油松混交林
      72390.7846.051油松纯林182415.0330.062青海云杉+油松混交林
      82383.4537.352油松纯林192431.0036.063青海云杉纯林　
      92345.2336.553油松纯林202432.8937.063青海云杉纯林　
      102397.5541.061油松纯林212496.9733.062青海云杉纯林　
      112335.5639.061油松纯林

      Table 1.  Basic information of the sample site

      • 1.3.   试验方法

    • 在松阿扁叶蜂幼虫危害时，按“五点法”在每块样地4个角及中心各取1株油松，共5株，进行虫口密度调查，按树冠东、西、南、北4个方位的上、中、下3层各选1条50 cm延长枝，共选12条，记录虫口数，以“头·株−1”为统计单位，计算平均虫口密度，并统计这5株松树的树高、枝下高、胸径、冠幅和林下草本盖度，计算各因子平均值。按“五点法”记录标准样地海拔、坡位、坡向、坡度和腐殖层厚度，坡位、坡向等定性因子参考邵方丽等[15]的方法将其赋值量化，即用1、2、3分别代表上坡、中坡和下坡，用4、5、6分别代表半阳坡、阴坡、半阴坡。郁闭度采用对角线法测定，在每块样地每条对角线上，隔1 m设1个测点，即每条对角线上分别设置28个测点，共设置56个测点，采用抬头法观测每个测点是否被树冠所遮盖，分别记录为覆盖或无覆盖，最后统计标准地内设置的总观测点数和有树冠覆盖的点数，据此计算郁闭度[16]。每个标准样地调查胸径≥5 cm的树种数和株数，计算每个样地林分密度；按“五点法”设置5个5 m×5 m的灌木样方，每个灌木样方设置1个1 m×1 m草本植物样方，进行林下灌木层种类、数量和草本层盖度的调查。

      根据周润惠等[17]采用的方法计算灌木物种丰富度和灌木Shamnon多样性指数。

      • 1.4.   数据统计与分析

    • 采用Excel 2007和SPSS 22.0对数据进行分析。对松阿扁叶蜂幼虫平均虫口密度与林分因子和立地因子进行逐步回归分析，筛选出影响松阿扁叶蜂幼虫平均虫口密度的关键影响因子。单因素方差分析(one-way ANOVA)、Duncan法多重比较、Pearson相关系数法探究松阿扁叶蜂平均虫口密度与林分因子和立地因子的关联性。用GraphPad Prism 10和Origin 2021作图。

    2.   结果与分析

      2.1.   林分因子和立地因子对松阿扁叶蜂幼虫危害的线性模式

    • 为了同时表达林分因子和立地因子对松阿扁叶蜂幼虫危害情况，对数据进行多重回归分析，建立幼虫平均虫口密度与各因子的方程，设幼虫平均虫口密度(y)、树种(x1)、林分密度(x2)、郁闭度(x3)、树高(x4)、枝下高(x5)、冠幅(x6)、胸径(x7)、草本盖度(x8)、灌木丰富度(x9)、灌木多样性指数(x10)、海拔(x11)、腐殖层厚度(x12)、坡度(x13)、坡向(x14)、坡位(x15)为自变量，得到回归模型：y=−319.750−7.936x1+75.212x3−0.176x4−0.804x5+8.621x6+0.128x7−112.264x8−6.284x9+62.243x10+0.163x11−4.877x12−0.573x13−3.969x14−5.645x15，决定系数(R2)为0.941，调整后R2=0.907。从表2可以看出：F值为27.796，P＜0.001，表明各因子多元线性模式的分析效果好。

      误差来源平方和自由度均方FP
      回归37 135.254152 475.68427.796＜0.001
      残差2 315.7502689.067
      总计39 451.00441

      Table 2.  Analysis of variance between stand and site factors and average population density of A. posticalis larvae

      • 2.2.   关键因子对松阿扁叶蜂幼虫危害的线性模式

    • 如表3所示：通过逐步回归分析，筛选出了郁闭度(x3)、冠幅(x6)、草本盖度(x8)及坡位(x15)等4个因子是影响松阿扁叶蜂幼虫平均虫口密度的关键因子。建立关键因子影响平均虫口密度的多元线性预测模型为：y=22.832+54.377x3+14.279x6−195.339x8−6.531x15，R2=0.856，调整后R2=0.840。分析结果表明：郁闭度、冠幅、草本盖度及坡位与松阿扁叶蜂幼虫平均虫口密度间存在极显著的线性关系(P＜0.01)。4个关键因子组成的线性决定系数(R2=0.840)与上述15个因子影响幼虫平均虫口密度的决定系数接近(R2=0.907)，说明这4个因子能够较准确地预测松阿扁叶蜂幼虫平均虫口密度的变化。F=54.847，P＜0.001，郁闭度、冠幅、草本盖度和坡位的膨胀因子(VIF)分别为1.377、1.480、1.483和1.610，均远小于10，说明各项因子间没有高度共线性，多元线性模式的分析效果好。

      因子系数a系数biFPR2膨胀因子
      郁闭度(x3)　22.83254.37754.847＜0.0010.8401.377
      冠幅(x6)　　14.2791.480
      草本盖度(x8)−195.3391.483
      坡位(x15)　　−6.5311.610

      Table 3.  Average insect population density and key factors were analyzed by stepwise regression

      • 2.3.   影响松阿扁叶蜂幼虫平均虫口密度的关键因子

      2.3.1.   草本盖度与幼虫平均虫口密度的关系

    • 如图1所示：根据样地林下草本盖度的实际调查结果，将2022与2023年调查的草本盖度数据均分为3组，第1组：0.11~0.20，第2组：0.20~0.30，第3组：0.30~0.40(上限排除法)。方差分析结果表明：2022年(F=12.635，P＜0.01)与2023年(F=11.599，P＜0.01)不同草本盖度对松阿扁叶蜂幼虫平均虫口密度的影响达到极显著水平。Duncan多重比较表明：不同年份林下草本盖度为0.20~0.30(第2组)和0.30~0.40(第3组)时的松阿扁叶蜂幼虫平均虫口密度差异不显著，2022年幼虫平均虫口密度分别为25.82、10.56头·株−1，2023年幼虫平均虫口密度分别为32.43、12.89头·株−1，但第2组和第3组与第1组的幼虫平均虫口密度存在极显著差异(P＜0.01)，第1组2022与2023年幼虫平均虫口密度分别为61.30、74.50头·株−1。

      Figure 1.  Effect of herbaceous coverage on the average population density of A. posticalis

      • 2.3.2.   冠幅与幼虫平均虫口密度的关系

    • 如图2所示：根据样地林木冠幅的实际调查结果，将2022与2023年调查的冠幅数据均分为3组，第1组：1.50~2.51 m，第2组：2.51~3.41 m，第3组：3.41~4.30 m(上限排除法)。方差分析结果表明：2022年不同冠幅对松阿扁叶蜂幼虫平均虫口密度的影响差异极显著(F=7.082，P＜0.01)，2023年影响差异显著(F=4.939，P＜0.05)。经多重比较发现：2022与2023年冠幅第1组和第3组的松阿扁叶蜂幼虫平均虫口密度差异极显著(P＜0.01)，且2022年第3组的幼虫平均虫口密度(55.35头·株−1)显著高于第1组(11.93头·株−1)，2023年第3组的幼虫平均虫口密度(40.30头·株−1)显著高于第1组(13.47头·株−1)，2022年冠幅第2组幼虫平均虫口密度(41.76头·株−1)显著高于第1组(11.93头·株−1)。

      Figure 2.  Effect of crown size on the average population density of A. posticalis

      • 2.3.3.   郁闭度与幼虫平均虫口密度的关系

    • 如图3所示：根据样地林分郁闭度的实际调查结果，将2022与2023年调查的林分郁闭度数据均分为3组，第1组：0.40~0.55，第2组：0.55~0.70，第3组：0.70~0.86(上限排除法)。方差分析结果表明：2 a的调查结果均显示在郁闭度小于0.70时松阿扁叶蜂幼虫平均虫口密度较小，Duncan多重比较表明：2022与2023年第2组和第3组郁闭度林分中的松阿扁叶蜂幼虫平均虫口密度存在显著差异(P＜0.05)，2022年幼虫平均虫口密度分别为21.32、51.92头·株−1，2023年幼虫平均虫口密度分别为24.32、62.42头·株−1。

      Figure 3.  Effect of canopy cover on the average population density of A. posticalis

      • 2.3.4.   坡位与幼虫平均虫口密度的关系

    • 如图4所示：2022年坡位对松阿扁叶蜂幼虫平均虫口密度的影响达到显著水平(F=4.249，P＜0.05)，2023年坡位对松阿扁叶蜂幼虫平均虫口密度的影响达到极显著水平(F=6.270，P＜0.01)。Duncan多重比较表明：2022与2023年中坡位和下坡位的松阿扁叶蜂幼虫平均虫口密度差异不显著，但两者与上坡位比较差异显著。2022与2023年上坡位的幼虫平均虫口密度平均值分别是50.90、65.62头·株−1，显著高于中坡位(23.91、29.16头·株−1)和下坡位(12.31、11.06头·株−1)。

      Figure 4.  Effect of slope position on the average population density of A. posticalis

      • 2.3.5.   幼虫平均虫口密度与关键因子的相关性分析

    • 如图5所示：2022年(r=−0.793，P＜0.01)、2023年(r=−0.779，P＜0.01)林下草本盖度与松阿扁叶蜂幼虫平均虫口密度均呈极显著负相关，即松阿扁叶蜂幼虫平均虫口密度大小随草本盖度的增大而减小；2022年(r=0.613，P＜0.01)、2023年(r=0.586，P＜0.01)松阿扁叶蜂幼虫平均虫口密度随冠幅的增大呈极显著上升的趋势；2022年(r=0.588，P＜0.01)、2023年(r=0.540，P＜0.01)松阿扁叶蜂幼虫平均虫口密度均随林分郁闭度的增大极显著增大；2022年(r=−0.549，P＜0.01)、2023年(r=−0.626，P＜0.01)林木分布坡位与松阿扁叶蜂幼虫平均虫口密度均呈极显著负相关，即松阿扁叶蜂幼虫平均虫口密度在上坡位最大，中坡位次之，下坡位最小。

      Figure 5.  Correlation and significant test coefficients between key factors and A. posticalis larvae population density

    3.   讨论

    • 松阿扁叶蜂是一种暴发性强，危害程度高的食叶害虫，作为森林生态系统的组成部分，与生态系统中的林分因子和立地因子共同建立了相互依存和制约的关系，对林木的危害过程就是林分因子和立地因子与松阿扁叶蜂幼虫对抗的过程[18]。因此，从森林生态系统出发，找出林分因子和立地因子与松阿扁叶蜂发生危害的关系，充分利用这种关系实现森林有害生物生态控制就显得尤为重要。

      在自然条件下，影响害虫发生的影响因子一般不能独立起作用，即任意2个及多个因子间相互作用会影响害虫的发生。因此，需要将本研究调查的林分因子和立地因子通过逐步回归筛选出最显著、最能解释因变量的因子，即筛选关键影响因子[19−21]。胡瑞瑞等[22]研究发现：影响昆嵛山腮扁叶蜂Cephalcia kunyushanica发生的关键因子是昆嵛山赤松林林木的冠幅、枝下高和林分密度。唐艳龙等[23]研究发现：影响松褐天牛深沟茧蜂Iphiaulax monochamusi寄生率的关键环境因子是寄主树木的生长坡位和其他天敌寄生率，其中，坡位与松褐天牛深沟茧蜂寄生率呈显著正相关，其他天敌寄生率与松褐天牛深沟茧蜂寄生率呈显著负相关。韩大校等[24]研究发现：影响落叶松毛虫Dendrolimus superans发生的关键因子为坡向和草本盖度。本研究通过逐步回归法筛选出影响松阿扁叶蜂幼虫平均虫口密度的关键因子为郁闭度、冠幅、草本盖度和坡位。对4项因子进行多重共线诊断，方差膨胀因子远小于10，说明各关键影响因子之间互相独立[25]。为进一步明确某一自变量与因变量的相关性，所得系数能真实反映2个变量间的相关程度与性质，对本研究中的关键因子与松阿扁叶蜂幼虫平均虫口密度进行相关分析，4项因子中草本盖度、坡位均对松阿扁叶蜂幼虫平均虫口密度有极显著负影响，冠幅、郁闭度均有极显著正影响。可见，对松阿扁叶蜂幼虫平均虫口密度的影响程度从大到小依次为草本盖度、冠幅、郁闭度、坡位。

      植被作为植食性昆虫的食物来源和庇护场所，其结构是影响害虫发生的因子之一[26]。林下草本植物是森林群落重要组成部分，在森林生态系统中扮演着重要角色。本研究中松阿扁叶蜂幼虫平均虫口密度和草本盖度的关系，与庞圣江等[27]发现西南桦Betula alnoides人工林林下植被盖度越大，拟木蠹蛾Arbela spp.危害率越低的结论一致。究其原因，可能与林下草本盖度的增加，提高了植物群落多样性，进而为松阿扁叶蜂幼虫的天敌提供了良好的生活栖息环境有关[28]，符合天敌假说，即植物多样性的增加提高了天敌昆虫多样性和庇护所复杂性，最终提高了天敌昆虫的生物防治作用，对植食性昆虫产生上调控制作用[29]；也可能是松阿扁叶蜂老熟幼虫在土层中越冬，草本的增加，其根系阻碍了越冬幼虫下潜入土，或者下潜浅，易被天敌发现，从而减轻了林地害虫的发生[2]。韩大校等[24]发现：落叶松毛虫随着草本盖度的增加，发生概率增加，这可能是研究空间尺度或者区域地理环境不同引起的差异，如所在温度带及优势树种的不同。冠幅反映了林木长期生长过程中的竞争水平[30]，冠幅的大小影响林分空间结构[31]，进而导致微气候发生变化，对虫害的发生产生一定影响。本研究中松阿扁叶蜂幼虫平均虫口密度随林木冠幅的增大而增大，可能是因为冠幅大的林分树冠衔接程度更高，提供给害虫更充分的营养，扩大了其生存空间，造成更大范围的扩散[32]。郁闭度是森林生态系统中重要的林分因子，是林木拥挤程度和林冠衔接程度的重要体现，直接影响林木生长发育、林内温湿度和光照条件等，间接影响林下植物组成和分布[33]，也对虫害的发生造成影响。周泓杨等[34]研究林分郁闭度对土壤动物群落的影响中，发现郁闭度大的凋落物层捕食性土壤动物个体和类群数少，在罗山也可能存在林分郁闭度大时捕食性土壤动物少的情况，故而造成松阿扁叶蜂越冬幼虫数量增多。

      地形作为植被格局和资源利用的代表，可以通过重新分配土壤水分和太阳辐射影响植物的生长势，从而影响森林害虫对资源的选择及分布[35]。坡度、坡向、坡位等局部地形因子与虫害的发生存在非直接关系。坡度影响山坡上树冠之间的距离，控制水分的运动，从而影响森林害虫的传播；坡向和坡位影响日照时数和光照强度，并引起温度、水分和土壤条件的变化，最终会影响森林虫害的蔓延[36]。本研究中上坡位松阿扁叶蜂幼虫平均虫口密度最大，中坡次之，下坡最少。可能与害虫种类有关，不同害虫对生存环境的要求不同，造成不同坡位害虫分布不均匀。相关研究发现：在中坡位寄主植物占比高的混交林黄褐天幕毛虫Malacosoma neustria testacea危害严重[37]；在下坡位舞毒蛾Lymantria dispar的平均虫口密度最大[38]。肖玖金等[39]研究发现：土壤动物密度随着坡位的上升而减少，从而增加了天敌昆虫数量，也可能是造成害虫数量变化的原因。

    4.   结论

    • 在宁夏罗山国家级自然保护区林区，影响松阿扁叶蜂幼虫种群数量变化的关键因子是林下草本盖度(x8)、冠幅(x6)、郁闭度(x3)和坡位(x15)。根据关键因子建立了幼虫平均虫口密度的线性预测方程y=22.832+54.377x3+14.279x6−195.339x8−6.531x15，R2=0.856，调整后R2=0.840。松阿扁叶蜂幼虫平均虫口密度与草本盖度、坡位均呈极显著负相关，与冠幅、郁闭度均呈极显著正相关，即松阿扁叶蜂幼虫在林下草本盖度低、林分郁闭度和冠幅大的上坡位易发生，因此，防治重点区域可以通过调控林下草本盖度、林分郁闭度、林木冠幅等的大小，将虫害控制在低水平。

Reference (39)

Catalog

    浙ICP备11046845号

    Copyright by 2019 Editorial Department of Journal of Zhejiang A&F University

    Address: No. 666, Wu Su street, Ling'an District, Hangzhou, ZhejiangPost Code: 311300Tel: 0571-63732749

    E-Mail: :zlxb@zafu.edu.cn

    Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return