“…Results do not differ if we instead analyze each trait separately as a response variable in a linear mixed-effect model with capture method as the sole fixed effect and capture site, order of use of capture methods, and/or order of stimulus presentation (for behavioral data) as random effects. Conditional inference tree and other decision tree approaches are increasingly being used in ecological research (e.g., Johnstone, Lill & Reina, 2014;Maslo et al, 2016;Burke et al, 2020;d'Entrement et al, 2020), and can be preferable to traditional regression methods as they can allow for a more conservative, refined, and holistic approach to identifying differences among groups (Cutler et al, 2007;Müller, Schröder & Müller, 2009, Blank & Blaustein, 2014. Conditional inference trees are also powerful because of their ability to simultaneously assess categorical and continuous variables (including data with non-normal distributions) and to accommodate missing values (Hothorn, Hornik & Zeileis, 2006).…”