| Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants. | |
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MedLine Citation:
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PMID: 22239680 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Paul Caplat; Shaun Coutts; Yvonne M Buckley |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-12 |
Journal Detail:
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Title: Annals of the New York Academy of Sciences Volume: - ISSN: 1749-6632 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7506858 Medline TA: Ann N Y Acad Sci Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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© 2011 New York Academy of Sciences. |
Affiliation:
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CSIRO Ecosystem Sciences, Brisbane, Queensland, Australia The University of Queensland, School of Biological Sciences, Queensland, Australia. |
Export Citation:
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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