function [prdData, info] = predict_Sphenodon_punctatus(par, data, auxData)
  
  % unpack par, data, auxData
  cPar = parscomp_st(par); vars_pull(par); 
  vars_pull(cPar);  vars_pull(data);  vars_pull(auxData);

  % compute temperature correction factors
  TC_ab = tempcorr(temp.ab, T_ref, T_A);
  TC_ap = tempcorr(temp.ap, T_ref, T_A);
  TC_am = tempcorr(temp.am, T_ref, T_A);
  TC_Ri = tempcorr(temp.Ri, T_ref, T_A);
  TC_tL = tempcorr(temp.tL, T_ref, T_A);
  
  % zero-variate data

  % life cycle
  pars_tp = [g k l_T v_Hb v_Hp];
  [t_p, t_b, l_p, l_b, info] = get_tp(pars_tp, f);
  
  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth at f
  Lw_b = L_b/ del_M;                % cm, physical length at birth at f
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth at f 
  aT_b = t_b/ k_M/ TC_ab;           % d, age at birth at f and T

  % puberty 
  aT_p = t_p/ k_M/ TC_ap;           % d, age at puberty at f and T

  % ultimate
  l_i = f - l_T;                    % -, scaled ultimate length
  L_i = L_m * l_i;                  % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate physical length at f

  % males
  p_Am_m = z_m * p_M/ kap;             % J/d.cm^2, {p_Am} spec assimilation flux
  E_m_m = p_Am_m/ v;                   % J/cm^3, reserve capacity [E_m]
  g_m = E_G/ (kap* E_m_m);             % -, energy investment ratio
  m_Em_m = y_E_V * E_m_m/ E_G;         % mol/mol, reserve capacity 
  w_m = m_Em_m * w_E/ w_V;             % -, contribution of reserve to weight
  L_mm = v/ k_M/ g_m;                  % cm, max struct length
  L_im = l_i * L_mm; Lw_im = L_im/ del_M;  % cm, ultimate total length
  Ww_im = L_im^3 * (1 + f * w_m);      % g, ultimate wet weight

  % reproduction
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hp]; % compose parameter vector at T
  RT_i = TC_Ri * reprod_rate(L_i, f, pars_R);             % #/d, ultimate reproduction rate at T

  % life span
  pars_tm = [g; l_T; h_a/ k_M^2; s_G];  % compose parameter vector at T_ref
  t_m = get_tm_s(pars_tm, f, l_b);      % -, scaled mean life span at T_ref
  aT_m = t_m/ k_M/ TC_am;               % d, mean life span at T
  
  % pack to output
  prdData.ab = aT_b;
  prdData.ap = aT_p;
  prdData.am = aT_m;
  prdData.Lb = Lw_b;
  prdData.Li = Lw_i;
  prdData.Lim = Lw_im;
  prdData.Wwb = Ww_b;
  prdData.Wwim = Ww_im;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-length 
  pars_tp = [g_m k l_T v_Hb v_Hp];
  [t_p, t_b, l_p, l_b] = get_tp(pars_tp, f);
  Lw_b = L_m * l_b/ del_M;
  ir_B = 3/ k_M + 3 * f * L_m/ v; rT_B = TC_tL/ ir_B;     % d, 1/von Bert growth rate
  ELw = Lw_im - (Lw_im - Lw_b) * exp( - rT_B * tL(:,1)); % cm, total length

  % pack to output
  prdData.tL = ELw;
