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• W209644297 abstract "Predicting the likely spread and impact of weeds is an important step towards their long-term, effective management. In order for tools to be useful and applicable to land managers the landscape-scale should be the target resolution for a predictive tool, as this is the scale in which they work and manage. In this case study we look at adapting a broadly accepted prediction tool (Climex), applicable at the regional scale, to a landscape-scale by including a highly variable and infl uential factor – soil water holding capacity. The results reinforce the predictive value of tools such as Climex for predicting plant distributions." @default.
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• W209644297 date "2004-01-01" @default.
• W209644297 modified "2023-10-12" @default.
• W209644297 title "Towards a landscape-scale mechanistic weed risk model." @default.
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