“…The simulation results and behavior of individual‐based models can be explained by game theoretic analyses (Maynard Smith, ). Game theoretic approaches have been employed to solve mathematically for the most competitive trait combination(s) in a continuous multivariate trait distribution, such as the competitively optimal biomass allocation among leaves, stems, and fine roots (Dybzinski et al ., , , ; Farrior et al ., ,b), crown depth (Vermeulen, ), tree height (King, ; Falster & Westoby, ), leaf angles (Hikosaka & Hirose, ), and leaf area index (LAI; Anten, ). Although game theoretic mathematical analyses have been useful in explaining field observations and experimental results (e.g., Dybzinski et al ., ; Farrior et al ., ) and improving our understanding of simulation results from complex models (e.g., Weng et al ., ), their obvious disadvantage is the model simplicity they require.…”