Influence of seasonality and climate on captures of wood-boring Coleoptera (Bostrichidae and Curculionidae (Scolytinae and Platypodinae)) using ethanol-baited traps in a seasonal tropical forest of northern Thailand

References

• Bale JS, Masters GJ, Hodkinson ID, Awmack C, Bezemer TM, Brown VK, Butterfield J, Buse a, Coulson JC, Farrar J, et al. 2002. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Glob Chang Biol. 8:1–16.
   Web of Science ®Google Scholar
• Beaver RA. 1989. Insect-fungus relationships in the bark and ambrosia beetles. In: Wilding N, Collins NM, Hammond PM, Webber JF, editors. Insect-fungus interactions. London: Academic Press; p. 121–143.
   Google Scholar
• Beaver RA, Löyttyniemi K. 1991. Annual flight patterns and diversity of bark and ambrosia beetles (Col., Scolytidae and Platypodidae) attracted to bait logs in Zambia. J Appl Entomol. 112:505–511. doi:10.1111/j.1439-0418.1991.tb01084.x.
   Web of Science ®Google Scholar
• Cooper PI. 1969. The absorption of radiation in solar stills. Sol Energy. 12:333–346. doi:10.1016/0038-092X(69)90047-4.
   Web of Science ®Google Scholar
• Coulson RN, Witter JA. 1984. Forest entomology: ecology and management. New York (NY): Wiley.
   Google Scholar
• Crowson RA. 1981. The biology of Coleoptera. London: Academic Press.
   Google Scholar
• Godfray HCJ, Hassell MP. 1989. Discrete and continuous insect populations in tropical environments. J Anim Ecol. 58:153–174. doi:10.2307/4992.
   Web of Science ®Google Scholar
• Granger CWJ. 1980. Testing for causality: a personal viewpoint. J Econ Dyn Control. 2:329–352. doi:10.1016/0165-1889(80)90069-X.
   Web of Science ®Google Scholar
• Hmamouche Y 2020. A package ‘NlinTS’: models for non linear causality detection in time series. R package version 1.3.8. accessed 2020 Mar 14:[12 p.]. https://cran.r-project.org/web/packages/NlinTS/NlinTS.pdf
   Google Scholar
• Hulcr J, Beaver RA, Puranasakul W, Dole SA, Sonthichai S. 2008. A comparison of bark and ambrosia beetle communities in two forest types in northern Thailand (Coleoptera: Curculionidae: Scolytinae and Platypodinae). Environ Entomol. 37:1461‒1470. doi:10.1603/0046-225X-37.6.1461.
   Web of Science ®Google Scholar
• Kaneko T. 1965. Biology of some scolytid ambrosia beetles attacking tea plants. I. Growth and development of two species of scolytid beetles reared on sterilized tea plants. Appl Entomol Zool. 9:211–216. doi:10.1303/jjaez.9.211.
   Google Scholar
• Kaneko T, Tamaki Y, Takagi K. 1965. Preliminary report on the biology of some Scolytid beetles, the tea root borer, Xyleborus germanus Blandford, attacking tea roots, and the tea stem borer, Xyleborus compactus Eichhoff, attacking tea twigs. Appl Entomol Zool. 9:23–28. doi:10.1303/jjaez.9.23.
   Google Scholar
• Kirkendall LR, Kent DS, Raffa KA. 1997. Interactions among males, females and offspring in bark and ambrosia beetles: the significance of living in tunnels for the evolution of social behaviour. In: Choe J, Crespi B, editors. The evolution of social behaviour in insects and arachnids. Cambridge (UK): Cambridge University Press; p. 181–215.
   Google Scholar
• Knell RJ. 1998. Generation cycles. Trends Ecol Evol. 13:186–190. doi:10.1016/S0169-5347(97)01321-9.
   Web of Science ®Google Scholar
• Liebhold AM, Kamata N. 2000. Are population cycles and spatial synchrony a universal characteristic of forest insect populations? Population dynamics of forest-defoliating insects. Popul Ecol. 42:205–209. doi:10.1007/PL00011999.
   Web of Science ®Google Scholar
• Liu LY, Schönitzer K, Yang JT. 2008. A review of the literature on the life history of Bostrichidae (Coleoptera). Mitt Münch Ent Ges. 98:91–97.
   Google Scholar
• Louca S 2016. A package ‘peacots’: periodogram peaks in correlated time series. accessed 2020 Mar 14:[19 p.]. https://cran.r-project.org/web/packages/peacots/peacots.pdf.
   Google Scholar
• Louca S, Doebeli M. 2015. Detecting cyclicity in ecological time series. Ecology. 96:1724–1732. doi:10.1890/14-0126.1.
   Web of Science ®Google Scholar
• Macedo-Reis LE, Novais SM, Monteiro GF, Flechtmann CA, Faria ML, Neves Fde S. 2016. Spatio-temporal distribution of bark and ambrosia beetles in a Brazilian tropical dry forest. J Insect Sci. 16(1):48; 1–9. doi:10.1093/jisesa/iew027.
   Google Scholar
• Meyers SR 2014. Astrochron: an R Package for astrochronology. accessed 2020 Mar 14:[132 p.]. https://cran.r-project.org/web/packages/astrochron/astrochron.pdf
   Google Scholar
• Mizell RF III, Bolques a, Crampton P. 1998. Evaluation of insecticides to control the Asian ambrosia beetle, Xylosandrus crassiusculus. Proc Sou Nursery Assoc. 43:162–165.
   Google Scholar
• Nair KSS. 2007. Tropical forest insect pests: ecology, impact, and management. Cambridge (UK): Cambridge University Press.
   Google Scholar
• Nakamura K, Hasan N, Abbas I, Godfray HCJ, Bonsall MB. 2004. Generation cycles in Indonesian lady beetle populations may occur as a result of cannibalism. Proc Roy Soc Biol Sci. 271:S501–S504. doi:10.1098/rsbl.2004.0231.
   Web of Science ®Google Scholar
• Oliver JB, Mannion CM. 2001. Ambrosia beetle (Coleoptera: Scolytidae) species attacking chestnut and captured in ethanol-baited traps in middle Tennessee. Environ Entomol. 30:909–918. doi:10.1603/0046-225X-30.5.909.
   Web of Science ®Google Scholar
• Phillips PCB, Ouliaris S. 1990. Asymptotic properties of residual based tests for cointegration. Econometrica. 58:165–193. doi:10.2307/2938339.
   Web of Science ®Google Scholar
• R Development Core Team. 2019. R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. accessed 2019 Oct 31. https://www.R-project.org/.
   Google Scholar
• Sandoval RC, Cognato AI, Righi CA. 2017. Bark and ambrosia beetle (Curculionidae: Scolytinae) diversity found in agricultural and fragmented forests in Piracicaba-SP, Brazil. Environ Entomol. 46:1254–1263. doi:10.1093/ee/nvx160.
   Web of Science ®Google Scholar
• Sanguansub S, Buranapanichpan S, Saowaphak T, Beaver RA, Kamata N. 2020. List of wood-boring beetles (Coleoptera: Bostrichidae, Curculionidae; Platypodinae, and Scolytinae) captured by ethanol-baited traps in a lower montane forest in northern Thailand. Misc Info Univ Tokyo For. 62:15–54.
   Google Scholar
• Stamp NE. 1993. a temperate region view of the interaction of temperature, food quality, and predators on caterpillar foraging. In: Stamp NE, Casey TM, editors. Caterpillars: ecological and evolutionary constraints on foraging. New York (NY): Chapman & Hall; p. 478–508.
   Google Scholar
• Sugihara G, May R, Ye H, Hsieh CH, Deyle E, Fogarty M, Munch S. 2012. Detecting causality in complex ecosystems. Science. 338:496–500. doi:10.1126/science.1227079.
   PubMed Web of Science ®Google Scholar
• Sugihara G, Park J, Deyle E, Saberski E, Smith C, Ye H 2019. rEDM: an R package for empirical dynamic modeling and convergent cross mapping. accessed 2020 Mar 14:[21 p.]. https://github.com/SugiharaLab/rEDM.
   Google Scholar
• Tanaka N, Kume T, Yoshifuji N, Tanaka K, Takizawa H, Shiraki K, Tantasirin C, Tangtham N, Suzuki M. 2008. A review of evapotranspiration estimates from tropical monsoon forests in Thailand and adjacent regions. Agric For Meteorol. 148:807–819. doi:10.1016/j.agrformet.2008.01.011.
   Web of Science ®Google Scholar
• Trapletti a, Hornik K 2019. Package ‘tseries’: time series analysis and computational finance. R package version 0.10-47. accessed 2020 Mar 14:[54 p.]. https://cran.r-project.org/web/packages/tseries/tseries.pdf.
   Google Scholar
• Ueda a, Kobayashi M. 2000. Relationship between flight of Platypms quercivorus (Coleoptera: Platypodidae), temperature and sunshine. Ap For Sci. 9:93–97. Japanese with English summary.
   Google Scholar
• Vega FE, Hofstetter RW, editors. 2015. Bark beetles: biology and ecology of native and invasive species. London: Academic Press.
   Google Scholar
• Wood SL. 1982. The bark and ambrosia beetles of North and Central America (Coleoptera: scolytidae), a taxonomic monograph. Great Basin Nat. 6:1–1359.
   Google Scholar