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• W1514087267 abstract "Invasive plants cause substantial economic and environmental damage throughout the world. However, eradication of most invasive species is impossible and, in some cases, undesirable. An alternative is to slow the spread of an invasive species, which can delay impacts or reduce their extent. We identify three main areas where models are used extensively in the study of plant spread and its management: (i) identifying the key drivers of spread to better target management, (ii) determining the role spatial structure of landscapes plays in plant invasions, and (iii) integrating management structures and limitations to guide the implementation of control measures. We show how these three components have been approached in the ecological literature as well as their potential for improving management practices. Particularly, we argue that scientists can help managers of invasive species by providing information about plant invasion on which managers can base their decisions (i and ii) and by modeling the decision process through optimization and agent-based models (iii). Finally, we show how these approaches can be articulated for integrative studies." @default.
• W1514087267 created "2016-06-24" @default.
• W1514087267 creator A5000167575 @default.
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• W1514087267 date "2012-01-12" @default.
• W1514087267 modified "2023-10-07" @default.
• W1514087267 title "Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants" @default.
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• W1514087267 doi "https://doi.org/10.1111/j.1749-6632.2011.06313.x" @default.
• W1514087267 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22239680" @default.
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