Using individual tracking data to validate the predictions of species distribution models

• DOI: 10.1111/ddi.12437
• Publication Date: 2016-03-23T10:11:14Z
• Authors: Cecilia Pinto; James A. Thorburn; Francis Neat; Peter J. Wright; Serena Wright; Beth E. Scott; Thomas Cornulier; Justin M. J. Travis
• Keywords: Generalized additive model; Geolocation; Skate; Environmental data; Species distribution

Abstract Aim Estimating environmental suitability from species distribution data is crucial in defining spatial conservation measures. To this end, models ( SDM s) are commonly applied, but seldom validated by completely independent data. Here, we use on individual tracks derived electronic tags as an alternative means of validating outputs. Location West coast Scotland, NE Atlantic. Methods We used a binomial generalized additive model GAM ) to predict the for flapper skate Dipturus cf. intermedia Scottish waters. The modelled relative habitat usage function variables using presence–absence obtained scientific trawl surveys. Additional attached six skates were estimate tidal‐based geolocation model. Concordance between and ‐predicted maps RHU was tested comparing predicted estimated randomly generated tracks. Results Environmental driven depth distance . found high concordance tagged individuals regions Main conclusions Integrating outputs source allowed us validate predictions ). integration individual‐ population‐level sources increases confidence being define information provided study provides useful framework considering measures species.