Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants

Caplat, Paul, Coutts, Shaun and Buckley, Yvonne M. (2012) Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants. Year in Ecology and Conservation Biology, 1249 1: 72-83. doi:10.1111/j.1749-6632.2011.06313.x


Author Caplat, Paul
Coutts, Shaun
Buckley, Yvonne M.
Title Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants
Journal name Year in Ecology and Conservation Biology   Check publisher's open access policy
ISSN 0077-8923
1749-6632
ISBN 9781573318631
Publication date 2012-01
Sub-type Article (original research)
DOI 10.1111/j.1749-6632.2011.06313.x
Volume 1249
Issue 1
Start page 72
End page 83
Total pages 12
Place of publication Hoboken, NJ, United States
Publisher Wiley-Blackwell Publishing
Collection year 2013
Language eng
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.
Keyword Landscape
Seed dispersal
Exotic species
Integrodifference equation
Network theory
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Issue: The Year in Ecology and Conservation Biology

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Biological Sciences Publications
 
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Created: Sat, 15 Sep 2012, 16:59:02 EST by Gail Walter on behalf of School of Biological Sciences