Used-habitat calibration plots: a new procedure for validating species distribution, resource selection, and step-selection models

John R. Fieberg, James D. Forester, Garrett M. Street, Douglas H. Johnson, Althea A. ArchMiller, Jason Matthiopoulos

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

‘Species distribution modeling’ was recently ranked as one of the top five ‘research fronts’ in ecology and the environmental sciences by ISI's Essential Science Indicators, reflecting the importance of predicting how species distributions will respond to anthropogenic change. Unfortunately, species distribution models (SDMs) often perform poorly when applied to novel environments. Compounding on this problem is the shortage of methods for evaluating SDMs (hence, we may be getting our predictions wrong and not even know it). Traditional methods for validating SDMs quantify a model's ability to classify locations as used or unused. Instead, we propose to focus on how well SDMs can predict the characteristics of used locations. This subtle shift in viewpoint leads to a more natural and informative evaluation and validation of models across the entire spectrum of SDMs. Through a series of examples, we show how simple graphical methods can help with three fundamental challenges of habitat modeling: identifying missing covariates, non-linearity, and multicollinearity. Identifying habitat characteristics that are not well-predicted by the model can provide insights into variables affecting the distribution of species, suggest appropriate model modifications, and ultimately improve the reliability and generality of conservation and management recommendations.

Original languageEnglish (US)
Pages (from-to)737-752
Number of pages16
JournalEcography
Volume41
Issue number5
DOIs
StatePublished - May 2018

Bibliographical note

Funding Information:
Acknowledgements – The Minnesota Dept of Natural Resources assisted with collaring and monitoring of the moose. We thank D. Wolfson, G. Sargeant, and three anonymous reviewers for helpful comments on a previous draft. The use of names does not imply endorsement by the U.S. Government. Funding – This work was funded by the Univ. of Minnesota-Twin Cities and the Minnesota Environment and Natural Resources Trust Fund.

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