Predicting non-native insect impact: focusing on the trees to see the forest
نویسندگان
چکیده
Non-native organisms have invaded novel ecosystems for centuries, yet we only a limited understanding of why their impacts vary widely from minor to severe. Predicting the impact non-established or newly detected species could help focus biosecurity measures on with highest potential cause widespread damage. However, predictive models require an drivers and appropriate level at which these should be evaluated. Here, used non-native, specialist herbivorous insects forest test factors drive if there were differences based whether they woody angiosperms conifers as hosts. We identified convergent divergent patterns between two host types indicating fundamental similarities in interactions non-native insects. Evolutionary divergence time native hosts was significant driver insect both but modulated by different systems. Beetles subfamily Scolytinae posed risk angiosperms, traits influenced specialists angiosperms. Tree wood density predictor intermediate densities (0.5–0.6 mg/mm3) associated risk, whereas that coupled shade tolerance drought intolerance. These results underscore importance identifying relevant levels biological organization ecological needed develop accurate may arrive ecosystems.
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ژورنال
عنوان ژورنال: Biological Invasions
سال: 2021
ISSN: ['1387-3547', '1573-1464']
DOI: https://doi.org/10.1007/s10530-021-02621-5