Pollen cone production in jack pine: spatial and temporal patterns subject to natural disturbance by the jack pine budworm

Author:

Hughes Josie S.1,Fortin Marie-Josée1,Nealis Vince2,Régnière Jacques3

Affiliation:

1. Department of Ecology and Evolutionary Biology, University of Toronto 25 Harbord St. Toronto, ON M5S 3G5, Canada.

2. Pacific Forestry Centre, 506 Burnside Road West Victoria, BC V8Z 1M5, Canada.

3. Laurentian Forestry Centre. 1055 Du P.E.P.S. Street, P.O. Box 10380, Québec, QC G1V 4C7, Canada.

Abstract

Patterns of jack pine (Pinus banksiana Lambert) pollen cone production are of interest because they may help explain jack pine budworm (Choristoneura pinus pinus Freeman) outbreak patterns. We used generalized linear mixed models to analyze pollen cone production in 180 permanent plots in Ontario, Canada between 1992 and 2008. Pollen cone production increased with stand age, and large trees in sparsely-populated stands produced more pollen cones. Defoliation decreased the propensity of trees to produce pollen cones for at least two years. We also identified important patterns that are not explained by defoliation and stand characteristics. Pollen cone production is spatially synchronized among years, trees in central Ontario produced more pollen cones than trees in northwestern Ontario, and background cone production increased over time in the central region but not in more northwestern plots. Synchronized reproduction is common among tree species, but has not previously been noted for jack pine pollen cones. Increasing cone production in central Ontario may be evidence of changing forest and (or) climatic conditions and deserves further investigation. Our model can be used to quantitatively predict pollen cone production and assess the risk of jack pine budworm defoliation.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Reference55 articles.

1. Numerical Analysis of a Jack Pine Budworm 1 Outbreak in Various Densities of Jack Pine

2. Berryman, A.A. 2002. Population cycles: The case for trophic interactions. Oxford University Press, New York.

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4. Generalized linear mixed models: a practical guide for ecology and evolution

5. Burnham, K., and Anderson, D. 2002. Model Selection and Multimodel Inference: A practical Information-Theoretic Approach. 2nd ed. Springer-Verlag, New York, U.S.A.

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