We propose a statistically robust, logistically feasible, long-term monitoring program for wintering shorebirds in the Central Valley of California to track spatial and temporal population trends resulting from changing climate and habitat conditions. Specifically, we recommend a sampling design and survey protocol. We provide the data storage and analytical framework for population and trend estimates to be made annually as new data come in through the online data portal in the California Avian Data Center (CADC). We also recommend a series of needed pilot studies including evaluating methods for estimating error rates in shorebird counts, determining the appropriate scale for measuring habitat, and tracking habitat change.