Translating statistical species-habitat models to interactive decision support tools

Autor: Andrew A. Bishop, Karie L. Decker, Christopher F. Jorgensen, Lindsey N. Messinger, Jeffrey J. Lusk, Erica F. Stuber, Joseph J. Fontaine, Victoria L. Simonsen, Caitlyn R. Gillespie, Lyndsie S. Wszola
Rok vydání: 2017
Předmět:
0106 biological sciences
Topography
Computer science
Economics
lcsh:Medicine
Social Sciences
Marine and Aquatic Sciences
Wetland
Variation (game tree)
Wildlife
01 natural sciences
Computer Applications
Geographical locations
Trees
User-Computer Interface
Galliformes
lcsh:Science
Conservation Science
Multidisciplinary
geography.geographical_feature_category
biology
Eukaryota
Nebraska
Plants
Habitats
010601 ecology
Habitat suitability
Habitat
Web-Based Applications
Research Article
Freshwater Environments
Conservation of Natural Resources
Computer and Information Sciences
Animal Types
Information needs
010603 evolutionary biology
Pheasant
Decision Support Techniques
Species Specificity
biology.animal
Animals
Ecosystem
geography
Internet
Landforms
Models
Statistical
lcsh:R
Ecology and Environmental Sciences
Organisms
Biology and Life Sciences
Aquatic Environments
Geomorphology
Data science
United States
Wetlands
North America
Earth Sciences
lcsh:Q
People and places
Zoology
Zdroj: PLoS ONE
PLoS ONE, Vol 12, Iss 12, p e0188244 (2017)
ISSN: 1932-6203
Popis: 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.
Databáze: OpenAIRE
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