Translating statistical species-habitat models to interactive decision support tools

PLoS ONE
By: , and 

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Abstract

Understanding species-habitat relationships is vital to successful conservation, but the tools used to communicate species-habitat relationships are often poorly suited to the information needs of conservation practitioners. Here we present a novel method for translating a statistical species-habitat model, a regression analysis relating ring-necked pheasant abundance to landcover, into an interactive online tool. The Pheasant Habitat Simulator combines the analytical power of the R programming environment with the user-friendly Shiny web interface to create an online platform in which wildlife professionals can explore the effects of variation in local landcover on relative pheasant habitat suitability within spatial scales relevant to individual wildlife managers. Our tool allows users to virtually manipulate the landcover composition of a simulated space to explore how changes in landcover may affect pheasant relative habitat suitability, and guides users through the economic tradeoffs of landscape changes. We offer suggestions for development of similar interactive applications and demonstrate their potential as innovative science delivery tools for diverse professional and public audiences.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Translating statistical species-habitat models to interactive decision support tools
Series title PLoS ONE
DOI 10.1371/journal.pone.0188244
Volume 12
Issue 12
Year Published 2017
Language English
Publisher PLOS
Contributing office(s) Coop Res Unit Seattle
Description e0188244; 13 p.
First page 1
Last page 13
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