The multiple-objective exploratory study investigates effects of various silvicultural management regimes commonly applied to coast redwood (Sequoia sempervirens [D. Don] Endl.) forests in Santa Cruz and San Mateo Counties, California, USA. A temporary forest inventory was installed in 24 harvest origin stands and 4 natural origin stands throughout the study area (sample area = 1189 acres). Data from the systematic sample of 233 one-quarter acre nested cluster plots (sample intensity = 4.9%) rendered overall forest descriptions in terms of species composition, density, and structure. The common forestry measures of trees per acre (TPA), basal area per acre (BA), and quadratic mean diameter (QMD) were calculated from the "snapshot" data and stratified by species groups and diameter ranges/canopy layers. Forest components were derived from the dataset by selecting specific groups within the forest as defined by the California Forest Practice Rules, literature, and common forestry groups (refer to the table below). An example of a forest component would be TPA of conifers from 2.1-14.0 inches DBH. In all, 162 forest components were analyzed through three research objectives: (1) general forest components, (2) small stem density and distribution, and (3) large stem density. The driving question behind the analysis is whether forest management is creating significantly different forest structure. If so, in which components of forest composition, density, and structure do those difference reside? A mixed-effects linear model tested overall significance and Fisher's Least Significant Difference (LSD) method tested pairwise comparisons among the six management regimes. Each model was tested with a significance level of α = 0.05 (pairwise and experimentwise).