Predictions & Data for this entry

Model: abj climate: MB, Cfa migrate: phylum:
COMPLETE = 2.5 ecozone: MASW food: bjPz, jiCi class:
MRE = 0.042 habitat: 0jMp, jiMcd, 0iFe, 0iMm gender: D order:
SMSE = 0.007 embryo: Mp reprod: O family:

Zero-variate data

Data Observed Predicted (RE) Unit Description Reference
am 4015 4027 (0.003082) d life span fishbase
Lp 39 38.08 (0.02355) cm total length at puberty for females fishbase
Li 83 82.92 (0.0009681) cm ultimate total length for females fishbase
Wwb 0.00022 0.0002189 (0.005068) g wet weight at birth ADW
Wwp 578.4 584.2 (0.009992) g wet weight at puberty fishbase
Wwi 6000 6031 (0.005133) g ultimate wet weight fishbase
Ri 109.6 109 (0.005106) #/d maximum reprod rate fishbase

Uni- and bivariate data

Data Figure Independent variable Dependent variable (RE) Reference
LW_f Data from South and West coast of S-Africa total length weight (0.1076) CazoCeci2005
LW_m Data from South and West coast of S-Africa total length weight (0.1646) CazoCeci2005
tL_fm age total length (0.06031) CazoCeci2005

Pseudo-data at Tref = 20°C

Data Generalised animal Paralichthys orbignyanus Unit Description
v 0.02 0.02141 cm/d energy conductance
p_M 18 19.46 J/d.cm^3 vol-spec som maint
k_J 0.002 0.001983 1/d maturity maint rate coefficient
k 0.3 0.5324 - maintenance ratio
kap 0.8 0.9971 - allocation fraction to soma
kap_G 0.8 0.8005 - growth efficiency
kap_R 0.95 0.95 - reproduction efficiency

Discussion

  • Males are assumed to differ from females by {p_Am} only
  • I had to add 1 yr for tL data to arrive at a natural fit

Facts

  • length - weight: Ww in g = 0.00676*(TL in cm)^3.10 (Ref: fishbase)

Bibliography

Citation