Mingione, MarcoLagona, FrancescoNagar, PriyankaVon Holtzhausen, Francois VictorBekker, Andriette, 1958-Schoombie, JanineLe Roux, Peter Christiaan2025-08-122025-08-122025-07Mingione, M., Lagona, F., Nagar, P. et al. 2025, 'Does wind affect the orientation of vegetation stripes? A copula-based mixture model for axial and circular data', Environmetrics, vol. 36, no. 5, art. e70021, pp. 1-16, doi : 10.1002/env.70021.1180-4009 (print)1099-095X (online)10.1002/env.70021http://hdl.handle.net/2263/103885DATA AVAILABILITY STATEMENT : The data that support the findings of this study are openly available in AxialMixtureRegression at https://github.com/minmar94/AxialMixtureRegression/tree/main/Data. SUPPLEMENTARY MATERIAL : Axial mixture regression mingione. All data and codes that have been used to obtain the results presented in this work are available at https://github.com/minmar94/AxialMixtureRegression/.Motivated by a case study of vegetation patterns, we introduce a mixture model with concomitant variables to examine the association between the orientation of vegetation stripes and wind direction. The proposal relies on a novel copula-based bivariate distribution for mixed axial and circular observations and provides a parsimonious and computationally tractable approach to examine the dependence of two environmental variables observed in a complex manifold. The findings suggest that dominant winds shape the orientation of vegetation stripes through a mechanism of neighboring plants providing wind shelter to downwind individuals.en© 2025 John Wiley & Sons, Ltd. This is the pre-peer reviewed version of the following article : 'Does wind affect the orientation of vegetation stripes? A copula-based mixture model for axial and circular data', Environmetrics, vol. 36, no. 5, art. e70021, pp. 1-16, doi : 10.1002/env.70021. The definite version is available at : http://wileyonlinelibrary.com/journal/env.Axial dataCircular dataCopulaMixture modelVegetationPostprint Article