Seagrass habitats, among other ecosystem services, function as nurseries for juveniles of economically important fish species. Given the trends of seagrass habitat fragmentation due to anthropogenic factors, the restoration and preservation of seagrass habitat has been a management focus. However, even with a strong observed correlation between seagrass habitat and juvenile fish abundance, quantifying the influence seagrass restoration has on juvenile fish abundance remains difficult. Analyzing the causal relationship between seagrass restoration and juvenile production (i.e., inferring that an increase exclusively in seagrass area extent will affect juvenile production) would require causal inference using structural causal modeling (SCM; Pearl, 2009). Here I used dynamic structural equation modeling (DSEM; Thorson et al., 2024), a SCM method that incorporates time series data with autoregression and lagged effects among variables, to test how seagrass restoration affects the production of juvenile young-of-year gag grouper within Tampa Bay, FL. Preliminary results found a causal link between seagrass extent and gag grouper YOY juveniles, suggesting that restoration of seagrass could impact the production of YOY gags to the fishery population.