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Landscape Ecology

, Volume 29, Issue 1, pp 111–126 | Cite as

Influence of environmental factors and spatio-temporal covariates during the initial development of a spruce budworm outbreak

  • Mathieu Bouchard
  • Isabelle Auger
Research Article

Abstract

Recurrent and synchronous spruce budworm (SBW) outbreaks have important impacts in boreal and sub-boreal forest ecosystems of North America. This study examines the early phase of an outbreak that was developing across a 268,000 km2 area over a period of 9 years (2003–2011). The territory was subdivided in 225 km2 cells, and the relative influence of forest composition, elevation, forest age, average degree-days and soil drainage were examined during three development phases of the outbreak: initial epicenter location, relatively long-distance spread (cell-to-cell expansion), and expansion inside individual cells (within-cell expansion). The results indicate that elevation is the most determinant variable for initial epicenter location. Other variables that were identified as important for outbreak development by previous studies, such as forest composition and average degree-days, were not so important during this phase. However, forest composition and average degree-days were important factors during the cell-to-cell and within-cell expansion phases. Separating outbreak development in distinct phases also allowed to integrate phase-specific spatial and temporal covariates that were highly significant in the models, such as distance from previous year defoliations during the cell-to-cell expansion phase, and the proportion of defoliated stands during the preceding year for the within-cell expansion phase. Overall, this study provides limited evidence that patterns of SBW outbreak expansion could be altered by reducing host tree species abundance in the forest [mainly balsam fir (Abies balsamea) in this region]. More generally, this study suggests that the influence of environmental variables on SBW outbreak development is clearly phase-dependent, and that this landscape-level, process-based approach could be useful to forecast insect outbreak development in forest ecosystems.

Keywords

Insect outbreaks Spruce budworm Insect dispersal Spatially explicit models Defoliation surveys Landscape-level disturbance model 

Notes

Acknowledgments

We thank D. Kneeshaw, L. Morneau, P. Therrien, J. Régnière, D. Tousignant and C. MacQuarrie, as well as two anonymous reviewers for their very helpful comments on earlier versions of the manuscript. We also thank M.-C. Lambert for her help with BioSIM.

References

  1. Anderson DP, Sturtevant BR (2011) Pattern analysis of eastern spruce budworm Choristoneura fumiferana dispersal. Ecography 34:488–497CrossRefGoogle Scholar
  2. Aukema BH, Carroll AL, Zhu J, Raffa KF, Sickley TA, Taylor SW (2006) Landscape level analysis of mountain pine beetle in British Columbia, Canada: spatiotemporal development and spatial synchrony within the present outbreak. Ecography 29:427–441Google Scholar
  3. Bjornstad, ON (2012) NCF: Spatial nonparametric covariance functions. R package version 1.1-4. http://www.r-project.org/. Accessed 6 Aug 2013
  4. Blais JR (1958) Effects of 1956 spring and summer temperatures on spruce budworm populations (Choristoneura fumiferana Clem.) in the Gaspé peninsula. Can Entomol 90:354–361CrossRefGoogle Scholar
  5. Blais JR (1983) Trends in the frequency, extent, and severity of spruce budworm outbreaks in eastern Canada. Can J For Res 13:539–547CrossRefGoogle Scholar
  6. Bouchard M, Kneeshaw D, Bergeron Y (2006) Forest dynamics after successive spruce budworm outbreaks in mixedwood forests. Ecology 87:2319–2329PubMedCrossRefGoogle Scholar
  7. Bouchard M, Kneeshaw D, Bergeron Y (2007) Forest dynamics following spruce budworm outbreaks in the northern and southern mixedwoods of central Quebec. Can J For Res 37:763–772CrossRefGoogle Scholar
  8. Burnham KP, Anderson DR (2002) Model selection and inference. Springer, New YorkGoogle Scholar
  9. Campbell EM, MacLean DA, Bergeron Y (2008) The severity of budworm-caused growth reductions in balsam fir/spruce stands varies with the hardwood content of surrounding forest landscapes. For Sci 54:195–205Google Scholar
  10. Candau JN, Fleming RA (2011) Forecasting the response of spruce budworm defoliation to climate change in Ontario. Can J For Res 41:1948–1960CrossRefGoogle Scholar
  11. Desponts M, Brunet G, Bélanger L, Bouchard M (2004) The eastern boreal old-growth balsam fir forest: a distinct ecosystem. Can J Bot 82:830–849CrossRefGoogle Scholar
  12. Duchesne L, Ouimet R (2006) Population dynamics of tree species in southern Quebec, Canada: 1970–2005. For Ecol Manag 255:3001–3012CrossRefGoogle Scholar
  13. Dupont A, Bélanger L, Bousquet J (1991) Relationship between balsam fir vulnerability to spruce budworm and ecological site conditions of fir stands in central Quebec. Can J For Res 21:1752–1759CrossRefGoogle Scholar
  14. Erdle TA, MacLean DA (1999) Stand growth model calibration for use in forest pest impact assessment. For Chron 75:141–152Google Scholar
  15. Eveleigh ES, McCann KS, McCarthy PC, Pollock SJ, Lucarotti CJ, Morin B, McDougall GA, Strongman DB, Huber JT, Umbanhowar J, Faria LDB (2007) Fluctuations in density of an outbreak species drive diversity cascades in food webs. Proc Natl Acad Sci USA 104:16976–16981Google Scholar
  16. Fuentealba A, Bauce E (2012) Site factors and management influence short-term host resistance to spruce budworm, Choristoneura fumiferana (Clem.), in a species-specific manner. Pest Manag Sci 68:245–253PubMedCrossRefGoogle Scholar
  17. Geiger R, Aron RH, Todhunter P (2003) The climate near the ground, 6th edn. Rowman and Littlefield Publ, LanhamGoogle Scholar
  18. Gelman A (2008) Scaling regression inputs by dividing by two standard deviations. Stat Med 27:2865–2873PubMedCrossRefGoogle Scholar
  19. Gray DR (2008) The relationship between climate and outbreak characteristics of the spruce budworm in eastern Canada. Climatic Change 87:361–383 (plus erratum 89: 447–449)CrossRefGoogle Scholar
  20. Greenbank DO, Schaefer GW, Rainey RC (1980) Spruce budworm (Lepidoptera: Tortricidae) moth flight and dispersal: new understanding from canopy observations, radar, and aircraft. Mem Entomol Soc Can 112:1–49CrossRefGoogle Scholar
  21. Hardy YJ, Lafond A, Hamel L (1983) The epidemiology of the current spruce budworm outbreak in Quebec. For Sci 29:715–725Google Scholar
  22. Hodkinson ID (2005) Terrestrial insects along elevation gradients: species and community responses to altitude. Biol Rev 80:489–513PubMedCrossRefGoogle Scholar
  23. James PMA, Sturtevant BR, Townsend P, Wolter P, Fortin MJ (2011) Modelling spatial interactions among fire, spruce budworm, and logging in the boreal forest. Ecosystems 14:60–75Google Scholar
  24. Jepsen JU, Hagen SB, Karlsen SR, Ims RA (2009) Phase-dependent outbreak dynamics of geometrid moth linked to host plant phenology. Proc Biol Sci 276:4119–4128PubMedCentralPubMedCrossRefGoogle Scholar
  25. Johnson DM, Bjornstad ON, Liebhold AM (2006) Landscape mosaic induces travelling waves of insect outbreaks. Oecologia 148:51–60PubMedCrossRefGoogle Scholar
  26. Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74:1659–1673CrossRefGoogle Scholar
  27. Levin SA, Pacala SW (1997) Theories of simplification and scaling of spatially distributed processes. Spatial ecology: the role of space in population dynamics and interspecific interactions. Princeton University Press, Princeton, pp 271–296Google Scholar
  28. Lord G, Faucher A (2003) Normes de cartographie écoforestière: troisième inventaire écoforestier. Direction des Inventaires forestiers. QMNR, Quebec, p 95Google Scholar
  29. MacKinnon WE, MacLean DA (2003) The influence of forest and stand conditions on spruce budworm defoliation in New-Brunswick, Canada. For Sci 49:657–667Google Scholar
  30. MacLean DA (2004) Predicting forest insect disturbance regimes for use in emulating natural disturbance. In: Perera AH, Buse LJ, Weber MG (eds) Emulating natural forest landscape disturbances: concepts and applications. Columbia University Press, New York, pp 69–82Google Scholar
  31. Magnussen S, Boudewyn P, Alfaro R (2004) Spatial prediction of the onset of spruce budworm defoliation. For Chron 80:485–494Google Scholar
  32. Mazerolle MJ (2011) AICcmodavg: model selection and multimodel inference based on (Q)AIC(c). R package, version 1.21. http://CRAN.R-project.org/package=AICcmodavg. Accessed 16 Jan 2013
  33. Morin H, Jardon Y, Gagnon R (2007) Relationship between spruce budworm outbreaks and forest dynamics in eastern North America. In: Johnson EA, Miyanishi K (eds) Plant disturbance ecology—the process and the response. Elsevier, Amsterdam, pp 555–578CrossRefGoogle Scholar
  34. Nealis V, Régnière J (2004) Insect–host relationships influencing disturbance by the spruce budworm in a boreal mixedwood forest. Can J For Res 34:1870–1882CrossRefGoogle Scholar
  35. Ortuño EM, Doyon F (2010) Estimation de la distribution des essences forestières au 19e siècle dans l’Outaouais à l’aide des carnets d’arpentage des limites des concessions forestières. Technical report. IQAFF, Ripon, p 83Google Scholar
  36. Pedgley DE, Scorer RS, Purdom JFW, Simpson JE, Wickham PG, Dickison RBB, Morris RM, Drake VA (1990) Concentration of flying insects by the wind. Philos Trans R Soc B 328:631–653Google Scholar
  37. Peres-Neto PR, Legendre P (2010) Estimating and controlling for spatial structure in the study of ecological communities. Glob Ecol Biogeogr 19:174–184CrossRefGoogle Scholar
  38. Pothier D, Elie JG, Auger I, Mailly D, Gaudreault M (2012) Spruce budworm-caused mortality to balsam fir and black spruce in pure and mixed conifer stands. For Sci 58:24–33Google Scholar
  39. Quayle D, Régnière J, Cappuccino N, Dupont A (2003) Forest composition, host-population density, and parasitism of spruce budworm Choristoneura fumiferana eggs by Trichogramma minutum. Entomologia experimentalis et experimentata 107:215–227CrossRefGoogle Scholar
  40. Quebec Ministry of Natural Resources (QMNR). 2011. Aires infestées par la tordeuse des bourgeons de l’épinette au Québec en 2011. Ministère des ressources naturelles du Québec, Direction de l’environnement et de la protection des forêts, p 20Google Scholar
  41. R Development Core Team (2011) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
  42. Raffa KF, Aukema BH, Bentz BJ, Carroll AL, Hicke JA, Turner MG, Romme WH (2008) Cross-scale drivers of natural disturbances prone to anthropogenic amplification: the dynamics of bark beetle eruptions. Bioscience 58:501–517Google Scholar
  43. Raffa KF, Powell EN, Townsend PA (2012) Temperature-driven range expansion of an irruptive insect heightened by weakly coevolved plant defenses. Proc Natl Acad Sci USA 110:2193–2198PubMedCrossRefGoogle Scholar
  44. Régnière J, Nealis V (2007) Ecological mechanisms of population change during outbreaks of the spruce budworm. Ecol Entomol 32:461–477CrossRefGoogle Scholar
  45. Régnière J, St-Amant R (2011) BioSIM 10 user’s manual. Canadian Forest Service, Laurentian Forestry Center, Québec. Information report LAU-X-129, p 68Google Scholar
  46. Régnière J, St-Amant R, Duval P (2012) Predicting insect distributions under climate change from physiological responses: spruce budworm as an example. Biol Invasions 14:1571–1586CrossRefGoogle Scholar
  47. Robert LE, Kneeshaw D, Sturtevant BR (2012) Effects of forest management legacies on spruce budworm (Choristoneura fumiferana) outbreaks. Can J For Res 42:463–475CrossRefGoogle Scholar
  48. Rowe JS (1972). Forest regions of Canada. Canadian Forest Service, Ottawa. Publication No. 1300, p 172Google Scholar
  49. Royama TO (1984) Population dynamics of the spruce budworm Choristoneura fumiferana. Ecol Monogr 54:429–462CrossRefGoogle Scholar
  50. Royama T, MacKinnon WE, Kettela EG, Carter NE, Hartling LK (2005) Analysis of spruce budworm outbreak cycles in New Brunswick, Canada, since 1952. Ecology 86:1212–1224Google Scholar
  51. Saucier JP, Berger, JP, D’Avignon H, Racine P (1994) Le point d’observation écologique. Québec Ministry of Natural Resources, report RN94-3078, 116 pGoogle Scholar
  52. Sturtevant BR, Gustafson EJ, Li W, He HS (2004) Modeling biological disturbances in LANDIS: a module description and demonstration using spruce budworm. Ecol Model 180:153–174CrossRefGoogle Scholar
  53. Tremblay JA, Belanger L, Desponts M, Brunet G (2007) La restauration passive des sapinières mixtes de seconde venue: une alternative pour la conservation des sapinières mixtes anciennes. Can J For Res 37:825–839CrossRefGoogle Scholar
  54. Williams JW, Jackson ST (2007) Novel climates, no-analog communities, and ecological surprises. Front Ecol Environ 5:475–482CrossRefGoogle Scholar
  55. Williams DW, Liebhold AM (2000) Spatial synchrony of spruce budworm outbreaks in eastern North America. Ecology 81:2753–2766CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Forest Research BranchQuebec Ministry of Natural ResourcesQuebecCanada

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