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Capture of the oak ambrosia beetle within the host tree canopy

Published online by Cambridge University Press:  05 October 2023

Michimasa Yamasaki Open the ORCID record for Michimasa Yamasaki [Opens in a new window] ,
Kenshiro Tatsumi  and
Yasuto Ito
Michimasa Yamasaki*
Affiliation:
1Laboratory of Forest Biology, Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
Kenshiro Tatsumi
Affiliation:
1Laboratory of Forest Biology, Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
Yasuto Ito
Affiliation:
2 Hyogo Prefectural Technology Centre for Agriculture, Forestry and Fisheries, Ikaba 430, Yamasaki-cho, Shisou-shi, Hyogo 671-2515, Japan
*
Corresponding author: Michimasa Yamasaki; Email: [email protected]
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Abstract

Because bark and ambrosia beetles fly during their dispersal and host location processes, their flight height is important for assessing their host selection strategy. There is no consensus regarding the height of their dispersal flight in forests, and their method of approaching trees is unclear. This is also the case for Platypus quercivorus (Murayama) (Coleoptera: Platypodinae), which causes Japanese oak wilt by transporting a pathogenic fungus. To clarify the vertical distribution of the flying population of P. quercivorus inside the host tree canopy, interception traps were set up at heights of 1–9 m from the ground near the main trunk of eight host trees, Quercus serrata Thunberg (Fagaceae). Captured beetles were collected between July and October 2022. Hole-boring activities were observed on all trees during the season, and beetles were captured at all heights from 1 to 9 m. Beetle capture probability increased with a decrease in height, and the number of captured beetles increased with a decrease in distance from the main trunk. However, the trap design in this study could not capture individuals coming directly above and must be addressed to elucidate their method of approaching their host plant.

Type
Research Paper
Information
The Canadian Entomologist , Volume 155 , 2023 , e28
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Entomological Society of Canada

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Footnotes

Subject editor: Therese Poland

References

Brar, G.S., Capinera, J.L., McLean, S., Kendra, P.E., Ploetz, R.C., and Peña, J.E. 2012. Effect of trap size, trap height and age of lure on sampling Xyleborus glabratus (Coleoptera: Curculionidae: Scolytinae), and its flight periodicity and seasonality. Florida Entomologist, 94: 1003–1011. https://doi.org/10.1653/024.095.0428.CrossRefGoogle Scholar
Coster, J.E. 1969. Observations on Platypus flavicornis (Coleoptera: Platypodidae) in southern pine beetle infestations. Annals of the Entomological Society of America, 62: 1008–1011. https://doi.org/10.1093/aesa/62.5.1008.CrossRefGoogle Scholar
Cunningham-Minnick, M.J., Roberts, H.P., Kane, B., Milam, J., and King, D.I. 2022. A cost-effective method to passively sample communities at the forest canopy–aerosphere interface. Methods in Ecology and Evolution, 13: 2389–2396. https://doi.org/10.1111/2041-210X.13987.CrossRefGoogle Scholar
Dodds, K.J. 2014. Effects of trap height on captures of arboreal insects in pine stands of northeastern United States of America. The Canadian Entomologist, 146: 80–89. https://doi.org/10.4039/tce.2013.57.CrossRefGoogle Scholar
Forsse, E. and Solbreck, C. 1985. Migration in the bark beetle Ips typographus L.: duration, timing and height of flight. Zeitschrift für Angewandte Entomologie, 100: 47–57. https://doi.org/10.1111/j.1439-0418.1985.tb02756.x.CrossRefGoogle Scholar
Hanula, J.L., Ulyshen, M.D., and Horn, S. 2011. Effect of trap type, trap position, time of year, and beetle density on captures of the redbay ambrosia beetle (Coleoptera: Curculionidae: Scolytinae). Journal of Economic Entomology, 104: 501–508. https://doi.org/10.1603/EC10263.CrossRefGoogle ScholarPubMed
Hardersen, S., Curletti, G., Leseigneur, L., Platia, G., Liberti, G., Leo, P., et al. 2014. Spatio-temporal analysis of beetles from the canopy and ground layer in an Italian lowland forest. Bulletin of Insectology, 67: 87–97.Google Scholar
Hijii, N., Kajimura, H., Urano, T., Kinuura, H., and Itami, H. 1991. The mass mortality of oak trees induced by Platypus quercivorus (Murayama) and Platypus calamus Blandford (Coleoptera: Platypodidae): the density and spatial distribution of attack by the beetles. Journal of the Japanese Forestry Society, 73: 471–476.Google Scholar
Igeta, Y., Esaki, K., Kato, K., and Kamata, N. 2004. Spatial distribution of a flying ambrosia beetle Platypus quercivorus (Coleoptera: Platypodidae) at the stand level. Applied Entomology and Zoology, 39: 583–589. https://doi.org/10.1303/aez.2004.583.CrossRefGoogle Scholar
Ito, S., Kubono, T., Sahashi, N., and Yamada, T. 1998. Associated fungi with the mass mortality of oak trees [in Japanese with English summary]. Journal of the Japanese Forestry Society, 80: 170–175.Google Scholar
Jackson, P.L., Straussfogel, D., Lindgren, B.S., Mitchell, S., and Murphy, B. 2008. Radar observation and aerial capture of mountain pine beetle, Dendroctonus ponderosae Hopk. (Coleoptera: Scolytidae) in flight above the forest canopy. Canadian Journal of Forest Research, 38: 2313–2327. https://doi.org/10.1139/X08-066.CrossRefGoogle Scholar
Kinuura, H. 1994. Oak dieback and biology of the ambrosia beetle, Platypus quercivorus (Murayama) [in Japanese]. Forestry and Pesticide (Ringyo-to-Yakuzai), 130: 11–20.Google Scholar
Kinuura, H. and Kobayashi, M. 2006. Death of Quercus crispula by inoculation with adult Platypus quercivorus (Coleoptera: Platypodidae). Applied Entomology and Zoology, 41: 123–128. https://doi.org/10.1303/aez.2006.123.CrossRefGoogle Scholar
Kobayashi, M. and Hagita, M. 2000. Process of mass mortality of oak trees and capture of Platypus quercivorus Murayama (Coleoptera: Platypodidae) [in Japanese with English summary]. Applied Forest Science, 9: 133–140.Google Scholar
Kobayashi, M. and Ueda, A. 2005. Wilt disease of Fagaceae trees caused by Platypus quercivorus (Murayama) (Coleoptera: Platypodidae) and the associated fungus: aim is to clarify the damage factor [in Japanese with English summary]. Journal of the Japanese Forest Society, 87: 435–450. https://doi.org/10.4005/jjfs.87.435.CrossRefGoogle Scholar
Kubono, T. and Ito, S. 2002. Raffaelea quercivora sp. nov. associated with mass mortality of Japanese oak, and the ambrosia beetle (Platypus quercivorus). Mycoscience, 43: 255–260. https://doi.org/10.1007/S102670200037.CrossRefGoogle Scholar
Menocal, O., Kendra, P.E., Montgomery, W.S., Crane, J.H., and Carrillo, D. 2018. Vertical distribution and daily flight periodicity of ambrosia beetles (Coleoptera: Curculionidae) in Florida avocado orchards affected by laurel wilt. Journal of Economic Entomology, 111: 1190–1196. https://doi.org/10.1093/jee/toy044.CrossRefGoogle ScholarPubMed
Murayama, J. 1925. On the platypodidae of formosa. Journal of the College of Agriculture, Hokkaido Imperial University, Sapporo, Japan, 15: 197–228.Google Scholar
Pham, D.L., Ito, Y., Okada, R., Ikeno, H., Isagi, Y., and Yamasaki, M. 2019. Effects of leaf conditions and flight activity on the behaviour of Platypus quercivorus (Murayama) (Coleoptera: Platypodidae). Journal of Applied Entomology, 143: 1000–1010. https://doi.org/10.1111/jen.12671.CrossRefGoogle Scholar
Pham, D.L., Ito, Y., Okada, R., Ikeno, H., Kazama, H., Mori, N., and Yamasaki, M. 2020. Platypus quercivorus ambrosia beetles use leaf volatiles in host selection. Entomologia Experimentalis et Applicata, 168: 928–939. https://doi.org/10.1111/eea.12993.CrossRefGoogle Scholar
Procházka, J., Cizek, L., and Schlaghamerský, J. 2018. Vertical stratification of scolytine beetles in temperate forests. Insect Conservation and Diversity, 11: 534–544. https://doi.org/10.1111/icad.12301.CrossRefGoogle Scholar
R Core Team. 2022. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from https://www.r-project.org [accessed 26 August 2023].Google Scholar
Sheehan, T.N., Ulyshen, M.D., Horn, S., and Hoebeke, E.R. 2019. Vertical and horizontal distribution of bark and woodboring beetles by feeding guild: is there an optimal trap location for detection? Journal of Pest Science, 92: 327–341. https://doi.org/10.1007/s10340-018-1026-5.CrossRefGoogle Scholar
Soné, K., Mori, T., and Ide, M. 1998. Spatial distribution pattern of attack of the oak borer, Platypus quercivorus (Murayama) (Coleoptera: Platypodidae), and Scolytid ambrosia beetles (Coleoptera: Scolytidae) on fresh logs. Journal of Forest Research, 3: 225–229. https://doi.org/10.1007/BF02762197.CrossRefGoogle Scholar
Sweeney, J., Hughes, C., Webster, V., Kostanowicz, C., Webster, R., Mayo, P., and Allison, J.D. 2020. Impact of horizontal edge–interior and vertical canopy–understorey gradients on the abundance and diversity of bark and woodboring beetles in survey traps. Insects, 11: 573. https://doi.org/10.3390/insects11090573.CrossRefGoogle ScholarPubMed
Ulyshen, M.D. and Hanula, J.L. 2007. A comparison of the beetle (Coleoptera) fauna captured at two heights above the ground in a North American temperate deciduous forest. The American Midland Naturalist, 158: 260–278. https://doi.org/10.1674/0003-0031(2007)158[260:ACOTBC]2.0.CO;2.CrossRefGoogle Scholar
Ulyshen, M.D. and Sheehan, T.N. 2019. Trap height considerations for detecting two economically important forest beetle guilds in southeastern US forests. Journal of Pest Science, 92: 253–265. https://doi.org/10.1007/s10340-017-0883-7.CrossRefGoogle Scholar
Vega, F.E. and Hofstetter, R.W. 2015. Bark beetles: biology and ecology of native and invasive species. Academic Press, Elsevier, Cambridge, Massachusetts, United States of America. P. 640.Google Scholar
Yamasaki, M. and Futai, K. 2008. Host selection by Platypus quercivorus (Murayama) (Coleoptera: Platypodidae) before and after flying to trees. Applied Entomology and Zoology, 43: 249–257. https://doi.org/10.1303/aez.2008.249.CrossRefGoogle Scholar
Yamasaki, M., Iizuka, H., and Futai, K. 2012. Reproductive success of the ambrosia beetle Platypus quercivorus on Quercus laurifolia planted in Japan. Forest Research, Kyoto, 78: 29–38.Google Scholar
Yamasaki, M., Ito, Y., and Ando, M. 2014. The effect of stem density on the probability of attack by the ambrosia beetle Platypus quercivorus varies with spatial scale. Agricultural and Forest Entomology, 16: 54–62. https://doi.org/10.1111/afe.12033.CrossRefGoogle Scholar
Zeileis, A. and Hothorn, T. 2002. Diagnostic checking in regression relationships. R News, 2: 7–10.Google Scholar
Zeileis, A., Kleiber, C., and Jackman, S. 2008. Regression models for count data in R. Journal of Statistical Software, 27: 1–25. https://doi.org/10.18637/jss.v027.i08.CrossRefGoogle Scholar
Zuur, A.F., Ieno, E.N., Walker, N.J., Saveliev, A.A., and Smith, G.M. 2009. Zero truncated and zero inflated models for count data. In Mixed effects models and extensions in ecology with R. Springer Science+Business Media LLC, New York, New York, United States of America. Pp. 261–293. https://doi.org/10.1007/978-0-387-87458-6.CrossRefGoogle Scholar