Replication Data for: Effect of temporal aggregation and phenology on LUE model variables and productivity in two deciduous forests.

The integration of optical and flux data requires temporal aggregation of data. In this study, we explore the effect of temporal integration through an in-depth assessment exploring its impact and its ecological relevance. Optical remote sensing and eddy covariance flux data collected over four years from a Tropical Dry Forest (TDF) and a Deciduous Boreal Forest (DBF) were used in the analysis. Light use efficiency model variables (PAR, fAPARgreen, APARgreen, and LUE) were derived, temporally aggregated over the diurnal period at 1hr increasing intervals and compared to gross primary productivity, derived from flux measurements. Temporal aggregation analysis was performed at the seasonal scale as well as divided by phenological stage (greenup, maturity, and senescence). Seasonal aggregation analysis showed little effect on fAPARgreen derived from TDF and DBF. Aggregation of PAR, APARgreen and LUEgreen variables from TDF and DBF showed significant changes in correlation to GPP. Aggregation analysis by phenology produced contrasting results to seasonal aggregations. This was especially the case for TDF fAPAR during greenup, where aggregation produced significant changes in correlation to GPP (Δr2 ≈ 0.34-0.39, p < 0.05). A relative importance analysis provided and systematic analysis of seasonal and phenological contributions of LUE model variables to ecosystem productivity. Previous knowledge of seasonal and phenological ecosystem functions was combined with relative importance metrics to put ecological context on our results. Findings confirm that physiological and structural contributions of the LUE model change between vegetation, environmental condition and phenology.