Abstract
Predicting and averting the spread of invasive species is a core focus of resource managers in all ecosystems. Patterns of invasion are difficult to forecast, compounded by a lack of user-friendly species distribution model (SDM) tools to help managers focus control efforts. This paper presents a web-based cellular automata hybrid modeling tool developed to study the invasion pattern of lionfish (Pterois volitans/miles) in the western Atlantic and is a natural extension our previous lionfish study. Our goal is to make publically available this hybrid SDM tool and demonstrate both a test case (P. volitans/miles) and a use case (Caulerpa taxifolia). The software derived from the model, titled Invasionsoft, is unique in its ability to examine multiple default or user-defined parameters, their relation to invasion patterns, and is presented in a rich web browser-based GUI with integrated results viewer. The beta version is not species-specific and includes a default parameter set that is tailored to the marine habitat. Invasionsoft is provided as copyright protected freeware at http://www.invasionsoft.com. © 2012 The Author(s).
| Original language | American English |
|---|---|
| Pages (from-to) | 405-417 |
| Number of pages | 13 |
| Journal | Aquatic Invasions |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 22 2012 |
ASJC Scopus Subject Areas
- Water Science and Technology
- Aquatic Science
Keywords
- Caulerpa taxifolia
- Cellular automata
- Invasive species
- Lionfish
- Software
- Species distribution models
- Web portal
Disciplines
- Environmental Sciences
- Marine Biology
- Oceanography and Atmospheric Sciences and Meteorology
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