  We show that a sequence of stochastic spatial Lotka-Volterra models, suitably
rescaled in space and time, converges weakly to super-Brownian motion with
drift. The result includes both long range and nearest neighbor models, the
latter for dimensions three and above. These theorems are special cases of a
general convergence theorem for perturbations of the voter model.
