Comparing power among three sampling methods for monitoring forest vegetation

Abstract

We compared three methods of sampling forest vegetation for their ability to reliably estimate changes in species richness, plant abundance, and overstory basal area and composition. Methods include the US Forest Service’s Forest Inventory and Analysis (FIA) method and two other methods being considered for use in monitoring National Parks in the Northern Great Lakes ecoregion. All methods were successful at detecting changes in composite variables but lacked sufficient enough power to detect a 20% change in the abundance of most individual species. All three methods had high power for detecting changes in overstory tree communities but differed greatly in their ability to track shifts in understory composition and diversity. Although complete walk-through surveys of all species present provided adequate power for tracking changes in diversity, sampling only 12 ground layer quadrats limited the power of the FIA method. Methods that sample the understory more intensively provide a better balance of sampling effort and provide higher power to detect changes in forest understory communities. Aggregating data across sites of similar habitat also provides more powerful estimates of change.