SSDM Package, Threshold Error Using "stack_modelling" function

[Eric56-SDM]

Hello, my name is Eric and I am doing a research project creating Species Distribution Models using single modelling algorithms, ensemble modelling, and then my final goal is to create a "Community Distribution Model" incorporating multiple species which seems possible using a "predict then assemble" or stacking strategy via the SSDM package and stack_modelling function. I have two questions.

Based on the description of the stack_modelling function is the only way to incorporate multiple species occurrence data points via the "occurrence" argument of this function? Thus far I have been dabbling with incorporating multiple species in a .csv file arranged with columns of species name, Longitude, Latitude. This appears to be the only method of incorporating multiple species data into a combined csv file, but please let me know if any other methods are possible.

Second question: as I am attempting to develop a "Community Level Model" using multiple species I have been using the stack_modelling function, and have recieved the following error when attempting to run the code: "Error in stack_modelling(c("all"), datafile, variable.stack, rep = 1 : Less than two species models were retained, you should lower the ensemble threshold value (ensemble.thresh parameter)." Based on the discussion above, I have tried lowering the threshold value, and still receive the same error. My variable "datafile" contains my presence data and "variable.stack" includes my predictor variables. Please advise.

[Eric56-SDM]

Image of Error :

[sylvainschmitt]

Have you tried with a single species first? Have you verified also the spatial match between occurrences and your stack?