Analysis of small-scale spatial pattern of <i>Endoclita excrescens </i>based on SADIE and SPPA

Jing Tianzhong; Lu Huayang; Liu Liping; Dai Limin; Fan Miao; Cai Xiaolin; Bai Li; Li Xiang; Li Manyu; Wen Yi; Han Qing

doi:10.12171/j.1000-1522.20220053

Journal of Beijing Forestry University > 2023 > 45(9): 95-103. > DOI: 10.12171/j.1000-1522.20220053

Jing Tianzhong, Lu Huayang, Liu Liping, Dai Limin, Fan Miao, Cai Xiaolin, Bai Li, Li Xiang, Li Manyu, Wen Yi, Han Qing. Analysis of small-scale spatial pattern of Endoclita excrescens based on SADIE and SPPA[J]. Journal of Beijing Forestry University, 2023, 45(9): 95-103. DOI: 10.12171/j.1000-1522.20220053

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Analysis of small-scale spatial pattern of Endoclita excrescens based on SADIE and SPPA

1.
School of Forestry, Northeast Forestry University, Harbin 150040, Heilongjiang, China
2.
Forest Botanical Garden of Heilongjiang Province, Harbin 150040, Heilongjiang, China

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Received Date: February 14, 2022
Revised Date: March 12, 2022
Available Online: April 19, 2023
Published Date: September 24, 2023

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Abstract

Abstract

Objective The swift moth, Endoclita excrescens (Lepidoptera: Hepialidae), is a polyphagous forest insect causing great damages to Manchurian ash (Fraxinus mandshurica) in the Northeast China. The spatial patterns of the moth at fine-scale were investigated in this study, which will provide basic information for precision-targeted management.
Method Spatial analysis by distance indices (SADIE) was employed to measure spatial aggregation and spatial association of the count of bored holes and the DBH (diameter at breast height) of the host-tree, which were marks of a marked spatial point pattern. The spatial randomness of the distribution of ash tree was tested by the L function. The independence between mark and point was tested by the conditional mean function. Mark variogram and Stoyan mark correlation function were used to measure spatial autocorrelation. Each sample plot was divided into quadrats to calculate SADIE aggregation indices and clustering indices. Two density plans were used to devide the sample plot.
Result Results from SADIE indicated that bored holes significantly aggregated in the two sample plots (G1 and G2). In sample plot G1, patches and gaps were separated and located at the two ends of the sample plot, respectively; while in sample plot G2, patches and gaps were mixed. In sample plot G1, trees with small number of bored holes were significantly close to other trees with small number of bored holes at distances of 4.0−4.8 m or 14.5−16.0 m; while in sample plot G2, same spatial patterns were identified at distances of 8.5−9.0 m. The results from mark variogram functions showed that there were no significant spatial autocorrelations at small distances in both sample plots. The spatial patterns of the ash tree and its DBH were strongly associated with the patterns of bored holes, respectively, indicating both of them play roles in the spatial pattern formation of bored holes. Results from either SADIE spatial aggregation index or L function suggested that the host trees were spatially aggregated. And the results from conditional mean of the mark function showed that the mark (count of bored holes) was independent on the point (tree location).
Conclusion The spatial pattern of the bored hole of the swift moth is aggregation in the stand of ash. Both the location and size of host trees shape the spatial patterns of bored holes.
- SADIE,
- spatial point pattern,
- spatial association,
- mark variogram,
- mark correlation function

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References (37)

References

[1]	Law R, Illian J B, Burslem D F R P, et al. Ecological information from spatial patterns of plants: insights from point process theory[J]. Journal of Ecology, 2009, 97: 616−628. doi: 10.1111/j.1365-2745.2009.01510.x
[2]	Brown C, Illian J B, Burslem D F R P. Success of spatial statistics in determining underlying process in simulated plant communities[J]. Journal of Ecology, 2016, 104: 160−172. doi: 10.1111/1365-2745.12493
[3]	Shrestha G, Rijal J P, Reddy G V. Characterization of the spatial distribution of alfalfa weevil, Hypera postica, and its natural enemies, using geospatial models[J]. Pest Management Science, 2021, 77(2): 906−918. doi: 10.1002/ps.6100
[4]	迟德富, 孙凡, 甄志先, 等. 柳蝙蛾生物学特性及发生规律[J]. 应用生态学报, 2000, 11(5): 757−762. doi: 10.3321/j.issn:1001-9332.2000.05.027 Chi D F, Sun F, Zhen Z X, et al. Biological characteristics and occurrence regularity of Phassus excrescens Bulter[J]. Chinese Journal of Applied Ecology, 2000, 11(5): 757−762. doi: 10.3321/j.issn:1001-9332.2000.05.027
[5]	Matsuzawa H, Toyomura K, Kohama Y. On the food plants of the larva of the swift moth, Phassus excrescens Butler[J]. Technical Bulletin of Faculty of Agriculture, Kagawa University, 1963, 15(1): 1−7.
[6]	Hyun-Chul K, Wi-Young L, Jin-Kie Y, et al. Aboveground biomass and adaptability of four-year-old poplar in a Riparian area[J]. Journal of Agriculture & Life Science, 2015, 49(1): 95−102.
[7]	Nielsen E S, Robinson G S, Wagner D L. Ghost-moths of the world: a global inventory and bibliography of the Exoporia (Mnesarchaeoidea and Hepialoidea)(Lepidoptera)[J]. Journal of Natural History, 2000, 34(6): 823−878. doi: 10.1080/002229300299282
[8]	Ochi K. Damage-analysis of Alnus hirsuta Turcz. in a young stand infested with Endoclyta excrescens Bulter (Lepidoptera, Hepialidae)[J]. Journal of the Japanese Forest Society, 1971, 53(6): 181−184.
[9]	萧刚柔, 李镇宇. 中国森林昆虫[M]. 3版. 北京: 中国林业出版社, 2020. Xiao G R, Li Z Y. Chinese forest insect [M]. 3rd ed. Beijing: China Forestry Publishing House, 2020.
[10]	甄志先, 迟德富, 张晓燕, 等. 柳蝙蛾的研究进展[J]. 河北林果研究, 2001, 16(2): 178−182. doi: 10.3969/j.issn.1007-4961.2001.02.022 Zhen Z X, Chi D F, Zhang X Y, et al. Advances on the research of the swift moth[J]. Hebei Journal of Forestry and Orchard Research, 2001, 16(2): 178−182. doi: 10.3969/j.issn.1007-4961.2001.02.022
[11]	甄志先, 迟德富, 孙凡, 等. 柳蝙蛾危害对水曲柳木材性质的影响[J]. 东北林业大学学报, 2006, 34(3): 13−15. doi: 10.3969/j.issn.1000-5382.2006.03.006 Zhen Z X, Chi D F, Sun F, et al. Wood properties of Fraxinus mandshurica damaged by Phassus excrenscens[J]. Journal of Northeast Forestry University, 2006, 34(3): 13−15. doi: 10.3969/j.issn.1000-5382.2006.03.006
[12]	来茂生, 赵琦, 庄敬华. 柳蝙蛾危害北五味子的防治[J]. 中药材, 1987(4): 56. Lai M S, Zhao Q, Zhuang J H. Control of Phassus excrenscens damaging Schisandra chinensis[J]. Chinese Medicine, 1987(4): 56.
[13]	Huang H. Chapter 7-cultivation and management [M]//Huang H. Kiwifruit. San Diego: Academic Press, 2016.
[14]	李磊, 尹显慧, 龙友华, 等. 修文猕猴桃准透翅蛾、柳蝙蛾发生情况与防治药剂筛选[J]. 中国南方果树, 2019, 48(1): 78−82. Li L, Yin X H, Long Y H, et al. Chemicals screening for control of Paranthrene actinidiae and Phassus excrenscens in Xiuwen[J]. South China Fruit, 2019, 48(1): 78−82.
[15]	Henne D C, Thinakaran J. Spatially explicit changes in potato psyllid (Hemiptera: Triozidae) populations in three south Texas potato fields[J]. Journal of Economic Entomology, 2019, 113(2): 988−1000.
[16]	Winder L, Alexander C, Griffiths G, et al. Twenty years and counting with SADIE: spatial analysis by distance indices software and review of its adoption and use[J]. Rethinking Ecology, 2019, 4: 1−16. doi: 10.3897/rethinkingecology.4.30890
[17]	Perry J N. Spatial analysis by distance indices[J]. Journal of Animal Ecology, 1995, 64(3): 303−314. doi: 10.2307/5892
[18]	Kennington J L, Helgason R V. Algorithms for network programming[M]. New York: Wiley, 1980.
[19]	Perry J N, Winder L, Holland J M, et al. Red-blue plots for detecting clusters in count data[J]. Ecology Letters, 1999, 2(2): 106−113. doi: 10.1046/j.1461-0248.1999.22057.x
[20]	Perry J N, Dixon P M. A new method to measure spatial association for ecological count data[J]. Ecoscience, 2002, 9(2): 133−141. doi: 10.1080/11956860.2002.11682699
[21]	Dutilleul P, Clifford P, Richardson S, et al. Modifying the t test for assessing the correlation between two spatial processes[J]. Biometrics, 1993, 49(1): 305−314. doi: 10.2307/2532625
[22]	Vallejos R, Osorio F, Bevilacqua M. Spatial relationships between two georeferenced variables: with applications in R[M]. New York: Springer, 2020.
[23]	Wiegand T A, Moloney K. Rings, circles, and null-models for point pattern analysis in ecology[J]. Oikos, 2004, 104(2): 209−229. doi: 10.1111/j.0030-1299.2004.12497.x
[24]	Schlather M, Ribeiro P J, Diggle P J. Detecting dependence between marks and locations of marked point processes[J]. Journal of the Royal Statistical Society Series B (Statistical Methodology), 2004, 66(1): 79−93. doi: 10.1046/j.1369-7412.2003.05343.x
[25]	Wälder O, Stoyan D. On variograms in point process statistics[J]. Biometrical Journal, 1996, 38(8): 895−905. doi: 10.1002/bimj.4710380802
[26]	Stoyan D, Stoyan H. Fractals, random shapes and point fields: methods of geometrical statistics[M]. Chichester: John Wiley and Sons, 1994.
[27]	Baddeley R A, Rubak E, Turner R. Spatial point patterns: methodology and applications with R [M]. Boca Raton: CRC Press, 2016.
[28]	李海霞, 郭树平, 周志军, 等. 柳蝙蛾幼虫空间分布型及抽样技术的研究[J]. 西北林学院学报, 2009, 24(4): 140−142. Li H X, Guo S P, Zhou Z J, et al. Spatial distribution pattern and sampling method of the larvae of Phassus excrescens[J]. Journal of Northwest Forestry University, 2009, 24(4): 140−142.
[29]	Saitoo A. Damage-analysis of Alnus inokumae Kusaka et Murai in the young stands infested with Phassus excrescens Bulter[J]. Journal of the Japanese Forestry Society, 1968, 50(10): 312−314.
[30]	Sciarretta A, Trematerra P. Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests[J]. Plant Protection Science, 2015, 50(2): 97−110.
[31]	Reay-Jones F P F, Greene J K, Bauer P J. Spatial distributions of thrips (Thysanoptera: Thripidae) in cotton[J]. Journal of Insect Science, 2019, 19(6): 1−12. doi: 10.1093/jisesa/iez102
[32]	Tobi D, Grehan J, Parker B. Review of the ecological and economic significance of forest Hepialidae (Insecta: Lepidoptera)[J]. Forest Ecology and Management, 1993, 56(1−4): 1−12. doi: 10.1016/0378-1127(93)90099-9
[33]	Utsumi S, Ohgushi T. Plant regrowth response to a stem-boring insect: a swift moth-willow system[J]. Population Ecology, 2007, 49: 241−248. doi: 10.1007/s10144-007-0042-8
[34]	Fred M S, Brommer J E. Olfaction and vision in host plant location by Parnassius apollo larvae: consequences for survival and dynamics[J]. Animal Behaviour, 2010, 79(2): 313−320. doi: 10.1016/j.anbehav.2009.11.001
[35]	Sun F, Bao C, Jing T Z. Locating host plants via orientation to standing visual targets has dispersal benefits for the monophagous leaf beetle Ambrostoma quadriimpressum[J]. Entomologia Experimentalis et Applicata, 2016, 158(3): 229−235. doi: 10.1111/eea.12398
[36]	Balogh S L, Björklund N, Huber D P W, et al. Random and directed movement by warren root collar weevils (Coleoptera: Curculionidae), relative to size and distance of host lodgepole pine trees[J]. Journal of Insect Science, 2020, 20(4): 1−12. doi: 10.1093/jisesa/ieaa060
[37]	Nelson T D, Sweeney J D, Hillier N K. Do visual cues associated with larger diameter trees influence host selection by Tetropium fuscum (Coleoptera: Cerambycidae)?[J]. The Canadian Entomologist, 2017, 149(4): 487−490. doi: 10.4039/tce.2017.22

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