Invasionsoft: A web-enabled tool for invasive species colonization predictions

Matthew W. Johnston, Samuel J. Purkis

Research output: Contribution to journalArticle

8 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)405-417
Number of pages13
JournalAquatic Invasions
Volume7
Issue number3
DOIs
StatePublished - 2012

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Keywords

  • Caulerpa taxifolia
  • Cellular automata
  • Invasive species
  • Lionfish
  • Software
  • Species distribution models
  • Web portal

ASJC Scopus subject areas

  • Aquatic Science
  • Water Science and Technology

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