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Related Experiment Video

Updated: Feb 9, 2026

Helminth Collection and Identification from Wildlife

Helminth Collection and Identification from Wildlife

Published on: December 14, 2013

Mapping Resource Selection Functions in Wildlife Studies: Concerns and Recommendations.

Lillian R Morris^1,2, Kelly M Proffitt³, Jason K Blackburn^1,2

¹Spatial Epidemiology and Ecology Research Laboratory, Department of Geography, 3141 Turlington Hall, University of Florida, Gainesville, FL 32611.

Applied Geography (Sevenoaks, England)

|June 12, 2018

Summary

Mapping animal spatial distribution using Resource Selection Function (RSF) models shows significant variability. Standardized mapping methods are needed to accurately interpret species distribution and habitat use for effective wildlife management.

Keywords:

elk habitat model species distribution model map

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Area of Science:

Ecology
Wildlife Management
Conservation Biology

Background:

Species distribution modeling, particularly Resource Selection Function (RSF) modeling, is crucial for wildlife management and conservation.
Advancements in telemetry and GIS have improved species distribution modeling, but methodological challenges remain in accurate implementation.
Mapping RSF results enhances accessibility but lacks standardized approaches and clear links to accuracy metrics.

Purpose of the Study:

To systematically review methods for mapping RSF outputs.
To analyze the relationship between mapping approaches and accuracy metrics.
To provide recommendations for appropriate RSF mapping techniques.

Main Methods:

Systematic literature review of RSF studies.
Case study evaluating different RSF mapping methods.
Analysis of mapping methods in relation to accuracy metrics.

Main Results:

Extensive variability exists in the methodology used for mapping RSF results.
Commonly used mapping approaches lead to significant differences in visual interpretation of RSF outputs.
A disconnect between accuracy metrics and mapping methods is prevalent in RSF studies.

Conclusions:

There is a lack of consensus on the most appropriate methods for mapping RSF results.
The choice of mapping method significantly impacts the interpretation of species distribution and habitat use.
Standardizing mapping techniques and linking them to accuracy metrics is essential for robust RSF studies.