Methods for predicting and validating range-wide population dynamics from sparse demographic data

The lack of adequate methods for making inference from limited demographic data has inhibited the development of process-based range models. We illustrate how a handful of simple tools, based on regression and population projection models, can provide valuable insights when using sparse data in conjunction with natural history information. Emergent demographic predictions from such model can be readily validated with commonly available life history information and occurrence data sets. We also highlight some challenges and successes when linking demography to range-wide patterns.