![]() It is common to use 4 degrees of freedom in GAMs to avoid overfitting. Index of northness using a sine transformation. A framework for species distribution modelling with improved pseudo-absence generation. Iturbide, M., Bedia, J., Herrera, S., del Hierro, O., Pinto, M., and GutiƩrrez, J. Tackling uncertainties of species distribution model projections with package mopa. Iturbide, M., Bedia, J., and GutiƩrrez, J.M. However, I wonder if this method will provide better results than other recently described (e.g. This way of creating pseudoabsence records seems an interesting way to mirror the sampling bias. This could give some guidance about the species or taxon that is driving the results in each group that could be added to the discussion and useful to compare with other studies. It would be interesting to provide a table with the species or taxon and number of records included in each of the Orders modelled. I have only minor suggestions and I recommend publishing the work after a revision following the points suggested below: Figures and tables are relevant and well labelled and described. ![]() I consider that the study is interesting and the results provided are meaningful. The modelling approach is effective as a tool in marine management and the manuscript is well written and structured. This manuscript represents a good modelling exercise of three important benthic taxa.
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