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Evaluating Models for Spruce Budworm-Forest Management: Comparing Output with Regional Field Data.

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    Ecological Applications : a Publication of the Ecological Society of America
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    Evaluating forest pest models is complex. Two spruce budworm models showed inconsistencies with real-world data, particularly at low pest densities and after spraying, suggesting issues with policy representation and population dynamics.

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    Area of Science:

    • Ecology
    • Forestry
    • Mathematical Modeling

    Background:

    • Evaluating large-scale population management models, especially for forest pests like the spruce budworm, presents significant challenges due to complexity and scale.
    • Simulation models are crucial for developing forest protection policies, but their accuracy requires rigorous validation against independent data.

    Purpose of the Study:

    • To evaluate two large-scale spruce budworm-forest simulation models using independent data from the Maine Forest Service.
    • To identify specific components within the models (policy, population dynamics, control efficacy) that contribute to discrepancies with observed data.

    Main Methods:

    • Comparison of model outputs with annual survey data from 1000 sites (1975-1980).
    • Independent testing of major model components: forest protection policy, budworm-forest dynamics, and pest control efficacy.
    • Analysis of model performance across different budworm densities and post-pesticide application scenarios.

    Main Results:

    • Both models exhibited inconsistencies when compared to Maine Forest Service survey data.
    • Discrepancies were most notable at low spruce budworm densities, particularly following pesticide application.
    • Models inaccurately predicted slower population increases post-spraying compared to survey data, indicating issues with policy, low-density dynamics, and spray efficacy.

    Conclusions:

    • The evaluated models require refinement to accurately represent spruce budworm population dynamics and the impact of forest protection policies.
    • Challenges in scaling up findings from small experimental plots to large spatial models may contribute to inaccuracies.
    • The optimal threshold for insecticide application may be higher than the 20 egg masses/m² suggested by the models.