Appendix S1 Supplementary Methods Trait Measurement For each individual replicate, a shoot growing in representative light conditions of the species was collected in the field and brought back to the lab in Ziploc bags. If a particular species in a particular stage tended to occur in the understory, shade leaves were collected. Specific leaf area (cm2 g-1) was calculated as the fresh leaf area to dry mass ratio, with leaf areas calculated by analyzing photos using ImageJ software and dry weights measured after drying samples for minimum 72 hours in drying ovens. After leaves were weighed for SLA, samples were ground to a fine powder in a wig-L bug, 4 mg subsample weighed and encapsulated in tin, and combusted for analysis in a continuous flow IRMS (PDZ Europa) for analysis of leaf N content (%N). The nitrogen analysis was conducted at the Center for Stable Isotope Biogeochemistry at UC Berkeley. Wood density was measured on terminal first-year shoots. After bark and pith were removed fresh volume was measured using by water displacement, and sample mass determined after 3 days in the drying oven. Values used are oven-dried mass per fresh unit volume (g cm-3). Species means Species means were calculated for each stage for each trait. A minimum of 3 individuals were used as replicates for each species in each stage. The majority of species occurred in more than one stage, so separate means were calculated for each stage to incorporate intra-specific variation as it relates to successional status. One of our measures of functional diversity requires fewer trait dimensions than species (functional richness, Villeger et al. 2008), thus we were limited to three functional traits by the low species richness in early secondary plots. We used Pearson’s correlations to validate that there was low correlation among the three focus traits, across the four stages (Table S1). Abundance: Abundance was measured for each species in each quadrat, by summing the basal area of all living individuals. Relative abundance, used in calculations of functional evenness, was calculated by dividing each species’ abundance value by sum total of basal area of the quadrat. For null models the relative abundance structure of each quadrat was maintained, but trait associations with those abundances were randomized. A frequency-based measure of abundance was also calculated, to estimate for each species its distribution across the four stages. The number of individuals of a species occurring in each stage was divided by the total number of individuals, to determine the proportion of how often that species occurred in a particular stage. This frequency based abundance was used in the weighted draws in the null model. Trait matrix Our species pool included 63 species from across the 4 stages for which we had functional trait data. We created a trait matrix such that for each species its mean trait value for each stage was a separate cell; for stages where a species was absent the mean value across stages where it was present was entered. For functional diversity indices these trait values were paired with the relative abundance structure of each quadrat. The values of the three functional traits associated with a given species in a stage were assigned together to maintain the correlation structure observed (Stubbs & Wilson 2004). Statistical analysis Each replicate plot was subdivided into 5 quadrats, so we incorporated a nested design in our statistical analyses. Three of the quadrats in the youngest secondary forest site had only one or two species, so these were excluded from the analyses. The remaining quadrats all had a minimum of four species.