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Host Tree Species Affects Spruce Budworm Winter Survival.
Richard Berthiaume1, Christian Hébert2, Martin Charest1
1Faculté de foresterie, de géographie et de géomatique, Département des sciences du bois et de la forêt, Université Laval, Pavillon Abitibi-Price, 2405 rue de la Terrasse, Québec, Québec, Canada.
Spruce budworm survival and growth depend on host trees. Black spruce, common in northern forests, results in smaller, less winter-hardy larvae, potentially limiting outbreaks despite climate change.
Area of Science:
- Forestry
- Entomology
- Ecology
Background:
- Global warming trends suggest potential northward expansion of spruce budworm (SBW) outbreaks into boreal forests.
- Northward expansion is constrained by host tree availability and insect overwinter survival.
- Understanding host-tree interactions is crucial for predicting SBW population dynamics.
Purpose of the Study:
- To investigate the impact of larval feeding on different host trees (balsam fir, white spruce, black spruce) on SBW life history traits.
- To assess the effects on both parental and progeny generations, including overwintering survival and larval weight.
Main Methods:
- Larval feeding trials using balsam fir, white spruce, and black spruce.
- Measurement of key life history traits: pupal weight, overwintering larval weight, and overwintering survival rates.
- Comparison of traits across different host tree treatments for parental and progeny generations.
Main Results:
- Host tree species significantly influenced SBW progeny weight and winter survival.
- White spruce supported the most robust growth (heaviest pupae and overwintering larvae).
- Black spruce was least suitable, yielding smallest larvae and significantly higher winter mortality.
Conclusions:
- SBW's potential northward expansion into black spruce-dominated forests may be limited by reduced offspring winter survival.
- Observed lower survival on black spruce could prevent large-scale outbreaks, even with warming temperatures.
- Host suitability remains a critical factor in predicting insect pest dynamics under climate change scenarios.
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