INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
PLoSOne
By: Peder Engelstad, Catherine S. Jarnevich, Terri Hogan, Helen Sofaer, Ian Pearse, Jennifer Sieracki, Neil Frakes, Julia Sullivan, Nicholas E. Young, Janet S. Prevéy, Pairsa Nicole Belamaric, and Jillian Marie Laroe
Edited by: Daniel de Paiva Silva
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
Abstract
Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs can most effectively disseminate and translate research results when producers and users collaboratively and iteratively design content and features. One data resource seldom incorporated into DSTs are species distribution models (SDMs), which can produce spatial predictions of habitat suitability. Outputs from SDMs can inform management decisions, but their complexity and inaccessibility can limit their use by resource managers or policy makers. To overcome these limitations, we present the Invasive Species Habitat Tool (INHABIT), a novel, web-based DST built with R Shiny to display spatial predictions and tabular summaries of habitat suitability from SDMs for invasive plants across the contiguous United States. INHABIT provides actionable science to support the prevention and management of invasive species. Two case studies demonstrate the important role of end user feedback in confirming INHABIT’s credibility, utility, and relevance.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States |
| Series title | PLoSOne |
| DOI | 10.1371/journal.pone.0263056 |
| Volume | 17 |
| Issue | 2 |
| Year Published | 2022 |
| Language | English |
| Publisher | Public Library of Science |
| Contributing office(s) | Fort Collins Science Center |
| Description | e0263056, 15 p. |
| First page | 1 |
| Last page | 15 |
| Country | United States |
| Google Analytic Metrics | Metrics page |