Predicting the extent of damage to conifer seedlings by the pine weevil (Hylobius abietis L): A preliminary risk model by multiple logistic regression

WL Wilson, KR Day, EA Hart

    Research output: Contribution to journal › Article

    21 Citations (Scopus)

    Abstract

    Damage to conifer seedlings caused by the pine weevil, Hylobius abietis, was estimated within eighty-two forest sites in Northern Ireland. A wide range of environmental variables were compared with the variation in damage between study sites using multiple logistic regression. Although 45 explanatory variables were considered only four were identified as significant within the final model. The four variables were the size of the planted area, the age of the planting, whether the majority of seedlings were self-seeded or planted, and if the site had been previously planted or was a newly planted area. The identification of these four variables indicates that it is possible to build a model identifying areas at risk to weevil damage. Further, although three of the factors have been recognised as significant influences on weevil damage for some time, they still remain important variables within British Isles forestry, suggesting that there is further scope for more precise targeting of weevil control measures.
    LanguageEnglish
    Pages203-222
    JournalNew Forests
    Volume12
    Issue number3
    Publication statusPublished - Nov 1996

    Fingerprint

    Hylobius abietis
    Curculionidae
    conifers
    Pinus
    seedlings
    Northern Ireland
    British Isles
    control methods
    forestry
    planting
    environmental factors

    Cite this

    Wilson, WL ; Day, KR ; Hart, EA. / Predicting the extent of damage to conifer seedlings by the pine weevil (Hylobius abietis L): A preliminary risk model by multiple logistic regression. In: New Forests. 1996 ; Vol. 12, No. 3. pp. 203-222.
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    abstract = "Damage to conifer seedlings caused by the pine weevil, Hylobius abietis, was estimated within eighty-two forest sites in Northern Ireland. A wide range of environmental variables were compared with the variation in damage between study sites using multiple logistic regression. Although 45 explanatory variables were considered only four were identified as significant within the final model. The four variables were the size of the planted area, the age of the planting, whether the majority of seedlings were self-seeded or planted, and if the site had been previously planted or was a newly planted area. The identification of these four variables indicates that it is possible to build a model identifying areas at risk to weevil damage. Further, although three of the factors have been recognised as significant influences on weevil damage for some time, they still remain important variables within British Isles forestry, suggesting that there is further scope for more precise targeting of weevil control measures.",
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    Wilson, WL, Day, KR & Hart, EA 1996, 'Predicting the extent of damage to conifer seedlings by the pine weevil (Hylobius abietis L): A preliminary risk model by multiple logistic regression', New Forests, vol. 12, no. 3, pp. 203-222.

    Predicting the extent of damage to conifer seedlings by the pine weevil (Hylobius abietis L): A preliminary risk model by multiple logistic regression. / Wilson, WL; Day, KR; Hart, EA.

    In: New Forests, Vol. 12, No. 3, 11.1996, p. 203-222.

    Research output: Contribution to journal › Article

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    Wilson WL, Day KR, Hart EA. Predicting the extent of damage to conifer seedlings by the pine weevil (Hylobius abietis L): A preliminary risk model by multiple logistic regression. New Forests. 1996 Nov;12(3):203-222.