A hydrologic-based forage production simulation model (PHYGROW) and a
population mixture simulation model (POPMIX) were used respectively to
simulate forage production and carrying capacity of a subtropical shr
ubland complex of over 34 species grazed by various ratios of cattle a
nd goats with a population of indigenous animals (white-tailed deer) o
ver a 20 year simulated weather profile. The Farm Level Income and Pol
icy Simulation Model (FLIPSIM) were used to evaluate and quantify the
impacts of alternative management strategies and climate change on gra
zingland ecosystems. The study was carried out to analyze the feasibil
ity and profitability of a representative cattle goat farm in the Sout
h Texas. On average, net cash farm income under 50:50 cattle:goat rati
o and climatic conditions falls by as much as 2% relative to 70:30 for
the farm studied. Real net worth for the farm declines as much as 9.4
% and 16% over the study period under the highest to lowest cattle:goa
t ratio and, dry to normal climatic conditions, respectively. The mode
led results produced useful information showing the socioeconomic cons
equences for a typical South Texas farm impacted for alternative manag
ement strategies and climatic conditions.