We show that by optimizing the use of information contained in BMS data, the regional GAM method provide a robust method that enables integrative analyses across sites with high and low- intensity visits, reducing estimation errors and biases and thereby improving our ability to assess species status and trends and support better conservation policy and decision making from local to continental scales. See the companion RegionalGAM R-package.
Schmucki, R., Pe’er, G., Roy, D. B., Stefanescu, C.A.M., Van Swaay, Oliver, T. H., Kuussaari, M., Van Strien, A. J., Ries, L., Settele, J., Musche, M., Carnicer, J., Schweiger, O., Brereton, T. M., Harpke, A., Heliölä, J., Kühn, E., Julliard, R.