Abstract
We develop a predictive oviposition model for a southern population of mountain pine beetle (MPB) using a previously developed rate curve, incorporating variation in both oviposition rate and fecundity. We also introduce a method for determining the time delay before oviposition. The model describes the probability of oviposition for a season of MPB attacks using hourly phloem temperature and adult MPB attack data. We also develop an asymptotic approximation of MPB oviposition that is much less computationally taxing. The detailed oviposition model and its asymptotic approximation are compared with other ovipositional models for MPB; the predictive capacity of each model is evaluated using previously published observations.
Similar content being viewed by others
References
Amman GD (1972) Some factors affecting oviposition behavior of the mountain pine beetle. Environ Entomol 1(6):691–695. https://doi.org/10.1093/ee/1.6.691
Bentz BJ, Hansen EM (2017) Evidence for a prepupal diapause in the mountain pine beetle (Dendroctonus ponderosae, Coleoptera: Curculionidae, Scolytinae). Environ Entomol 47(1):175–183. https://doi.org/10.1093/ee/nvx192
Bentz BJ, Jönsson AM, Schroeder M, Weed A, Wilcke RAI, Larsson K (2019) Ips typographus and Dendroctonus ponderosae Models Project Thermal Suitability for Intra419 and Inter-Continental Establishment in a Changing Climate. Frontiers in Forests and Global Change, 2. Accepted Aug 31, 2022, from https://www.frontiersin.org/articles/10.3389/ffgc.2019.00001
Bentz BJ, Logan JA, Amman GD (1991) Temperature-dependent development of the mountain pine beetle (Coleoptera: Scolytidae) and simulation of its phenology. Canad Entomol 123(5):1083–1094. https://doi.org/10.4039/Ent1231083-5
Bentz BJ, Powell JA (2014) Mountain pine beetle seasonal timing and constraints to bivoltinism: a comment on mitton and ferrenberg, mountain pine beetle develops an unprecedented summer generation in response to climate warming. Am Nat 184(6):787–796. https://doi.org/10.1086/678405
Bonhomme R (2000) Bases and limits to using ‘degree day’ units. Eur J Agron 13(1):1–10. https://doi.org/10.1016/S1161-0301(00)00058-7
Bracewell RR, Pfrender ME, Mock KE, Bentz BJ (2013) Contrasting geographic patterns of genetic differentiation in body size and development time with reproductive isolation in dendroctonus ponderosae (Coleoptera: Curculionidae, Scolytinae). Ann Entomol Soc Am 106(3):385–391. https://doi.org/10.1603/AN12133
Briffere JF, Pracros P, Le Roux AY, Pierre JS (1999) A novel rate model of temperature-dependent development for arthropods. Environ Entomol 28(1):22–29. https://doi.org/10.1093/ee/28.1.22
Cobbold CA, Powell JA (2011) Evolution stabilises the synchronising dynamics of poikilotherm life cycles. Bull Math Biol 73(5):1052–1081. https://doi.org/10.1007/s11538-010-9552-1
Cole WE (1962) The effects of intraspeciffc competition withing mountain pine beetle broods under laboratory conditions. Res. Note 97. Ogden, UT: USDA Forest Service Intermountain Forest and Range Experiment Station
Corbett L, Withey P, Lantz V, Ochuodho T (2015) The economic impact of the mountain pine beetle infestation in British Columbia: provincial estimates from a CGE analysis. For Int J For Res. https://doi.org/10.1093/forestry/cpv042
Davidson J (1944) On the relationship between temperature and rate of development of insects at constant temperatures. J Anim Ecol 13(1):26–38. https://doi.org/10.2307/1326
Dowle EJ, Bracewell RR, Pfrender ME, Mock KE, Bentz BJ, Ragland GJ (2017) Reproductive isolation and environmental adaptation shape the phylogeography of mountain pine beetle Dendroctonus ponderosae. Mol Ecol 26(21):6071–6084. https://doi.org/10.1111/mec.14342
Embrechts P, Hofert M (2013) A note on generalized inverses. Math Methods Operations Res 77(3):423–432. https://doi.org/10.1007/s00186-013-0436-7
Gilbert E, Powell J, Logan J, Bentz B (2004) Comparison of three models predicting developmental milestones given environmental and individual variation. Bull Math Biol 66(6):1821–1850. https://doi.org/10.1016/j.bulm.2004.04.003
Giroday HMCDL, Carroll AL, Aukema BH (2012) Breach of the northern Rocky Mountain geoclimatic barrier: initiation of range expansion by the mountain pine beetle. J Biogeogr 39(6):1112–1123. https://doi.org/10.1111/j.1365-2699.2011.02673.x
Hopper KR (1999) Risk-spreading and bet-hedging in insect population biology. Ann Rev Entomol 44(1):535–560. https://doi.org/10.1146/annurev.ento.44.1.535
Ives AR (1989) The optimal clutch size of insects when many females oviposit per patch. Am Nat 133(5):671–687. https://doi.org/10.1086/284944
Janz N (2002) Evolutionary ecology of oviposition strategies. Chemoecology of insect eggs and egg deposition. Blackwell, Berlin, pp 349–376
Logan JA, Wollkind DJ, Hoyt SC, Tanigoshi LK (1976) An analytic model for description of temperature dependent rate phenomena in arthropods 1. Environ Entomol 5(6):1133–1140. https://doi.org/10.1093/ee/5.6.1133
Logan JD (2006) Applied mathematics, 3rd edn. Wiley, Hoboken, New Jersey
Logan JA, Bentz BJ (1999) Model analysis of mountain pine beetle (Coleoptera: Scolytidae) seasonality. Environ Entomol 28(6):924–934. https://doi.org/10.1093/ee/28.6.924
Logan JA, Powell JA (2001) Ghost forests, global warming, and the mountain pine beetle (Coleoptera: Scolytidae). Am Entomol 47(3):160–173. https://doi.org/10.1093/ae/47.3.160
Logan JA, Rffegniffere J, Powell JA (2003) Assessing the impacts of global warming on forest pest dynamics. Front Ecol Environ 1(3):130–137. https://doi.org/10.1890/1540-9295(2003)001[0130:ATIOGW]2.0.CO;2
McManis AE, Powell JA, Bentz BJ (2018) Developmental parameters of a southern mountain pine beetle (Coleoptera: Curculionidae) population reveal potential source of latitudinal differences in generation time. Canad Entomol 151(1):1–15. https://doi.org/10.4039/tce.2018.51
McManis AE, Powell JA, Bentz BJ (2019) Modeling mountain pine beetle (Dendroctonus ponderosae) oviposition. Entomol Exp Appl. https://doi.org/10.1111/eea.12783
Meddens AJH, Hicke JA, Ferguson CA (2012) Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States. Ecol Appl 22(7):1876–1891. https://doi.org/10.1890/11-1785.1
Powell JA, Bentz BJ (2009) Connecting phenological predictions with population growth rates for mountain pine beetle, an outbreak insect. Landsc Ecol 24(5):657–672. https://doi.org/10.1007/s10980-009-9340-1
Powell JA, Bentz BJ (2014) Phenology and density-dependent dispersal predict patterns of mountain pine beetle (Dendroctonus ponderosae) impact. Ecol Model 273:173–185. https://doi.org/10.1016/j.ecolmodel
Powell JA, Logan JA (2005) Insect seasonality: circle map analysis of temperature-driven life cycles. Theor Popul Biol 67(3):161–179. https://doi.org/10.1016/j.tpb.2004.10.001
Rffegniffere J, Powell J, Bentz B, Nealis V (2012) Effects of temperature on development, survival and reproduction of insects: experimental design, data analysis and modeling. J Insect Physiol 58(5):634–647. https://doi.org/10.1016/j.jinsphys.2012.01.010
Sahota TS, Thomson AJ (1979) Temperature induced variation in the rates of reproductive processes in Dendroctonus ruffpennis (Coleoptera: Scolytidae): a new approach to detecting changes in population quality. Canad Entomol 111(9):1069–1078. https://doi.org/10.4039/Ent1111069-9
Soderberg DN, Mock KE, Hofstetter RW, Bentz BJ (2021) Translocation experiment reveals capacity for mountain pine beetle persistence under climate warming. Ecol Monogr. https://doi.org/10.1002/ecm.1437
Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, Williams SE (2004) Extinction risk from climate change. Nature 427(6970):145–148. https://doi.org/10.1038/nature02121
Acknowledgements
We thank Monica Gaylord, Rich Hofstetter, John Anhold, Jim Vandygriff, Matt Hansen, and Anne McManis for data collection. This research was supported by funding from the USDA Forest Service, Forest Health Protection Special Technology Development Program R3-2015-04.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wangen, C.E., Powell, J.A. & Bentz, B.J. Oviposition Model for a Southern Population of Mountain Pine Beetle. Bull Math Biol 84, 133 (2022). https://doi.org/10.1007/s11538-022-01089-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11538-022-01089-1