Models for the prediction of fishery production and/or harvest based o
n primary production, algal biomass, or nutrients and morphometry have
been effective in many lakes and reservoirs. Lake Chapala, Mexico's l
argest, is located on the Rio Lerma, one of Mexico's principal rivers.
It was made a reservoir in 1903 by the construction of a hydroelectri
c dam on the out-flowing Rio Santiago. For the first half of this cent
ury Lake Chapala was famous for its native white-fish (Chirostoma luci
us) fishery. This fishery has collapsed. The present fishery consists
of small Chirostoma species and the introduced Oreochromis. During the
past 17 years the water level has fallen by over 3 meters. Now very s
hallow, clay resuspension creates low visibility (Secchi < 1 m). Nutri
ents are abundant with total phosphorus exceeding 1 mg l-1 and inorgan
ic nitrogen exceeding 0.5 mg 1-1. Photosynthesis is limited by light a
nd especially the unfavorable mixing depth to photic depth ratio. Mode
ls based on phytoplankton production or biomass underestimate the fish
ery by about one order of magnitude while a morphoedaphic model overes
timates the fishery to the same extent. We sought to explain alternate
pathways to support the realized fishery. Experiments suggest that ba
cterial prodution, with a bypass of the microbial loop, may offer a pa
rtial explanation. Management practices to increase the fishery based
on an increased autotrophic base to food chain would fail without cons
ideration of bacterial processes in this highly turbid ecosystem.