Altitudinal and latitudinal gradients are excellent venues for investigating the direct and indirect effects of air temperature, solar irradiance, and insularity on spatial patterns of aquatic biodiversity. The findings can be used to predict how lake communities will respond to increasingly extreme climate events. We explored hypotheses of energy/climate, geography, and glacial history explaining patterns in species richness in a historical dataset of crustacean zooplankton communities from 436 lakes in the Canadian Rocky Mountains. GIS-based estimates of solar and thermal energy inputs combined with habitat area and insularity provided the best prediction of local species richness. Energetic and geographic factors explained a moderate proportion of the total variation in species richness (Generalized R 2 5 0.50), and were sufficient to account for both altitudinal and latitudinal gradients in zooplankton diversity. History of deglaciation was not supported as a predictor of patterns in species richness. A post hoc analysis with a smaller dataset also found strong support for lake pH, and some support for fish presence as predictors of species richness, but these only increased the proportion of the total variation explained very slightly relative to the model including only energetic and geographic factors (Generalized R 2 5 0.55 vs. 0.53). Our findings highlight the multiplicity of local and regional factors of zooplankton species richness in mountain lakes, forecasting that it will increase under a scenario of warmer and drier (i.e., less cloud cover) conditions, especially in high connectivity lakes that cease to be fed by rapidly disappearing glaciers.Lakes and ponds are increasingly viewed as sentinels of global change as they integrate the cumulative impacts of local and regional anthropogenic perturbations (i.e., stressors) on their whole catchments (Williamson et al. 2009). Remote mountain lakes are particularly useful because of the absence of local stressors, which can often obscure the effects of larger-scale human pressures, which can be subtle, but potentially more powerful and persistent in the long-term (Catalan et al. 2013). Moreover, their characteristic cold temperature, dilute chemistry, insularity, and low biocomplexity cause alpine lakes to be acutely sensitive to anthropogenic stressors (Hauer et al. 1997;Vinebrooke and Leavitt 2005).Understanding the factors of past and current spatial patterns of aquatic biodiversity is key to accurate forecasting how these patterns will respond to future environmental changes. Many hypotheses exist to explain how the interplay between immigration, speciation, and extinction determines patterns of species richness; there are more than 30 potential explanations for latitudinal gradients in species richness and hypotheses for altitudinal gradients are similarly diverse (Willig et al. 2003;McCain and Grytnes 2010). Recently, several hypotheses relating species richness to energy and climate have become prominent in the ecological literature, reflecting meta...