A permanent sample plot (PSP) data set was enumerated from primary forest in Jambi province, Indonesia. No silvicultural treatment (harvesting, thinning, poisoning) was applied to the plot during the period in which measurements were taken. The data set including individual tree information such as tree identity, diameter and position within the plot, was input into the Sustainable Yield Manage...

Permanent plots in indigenous forests administered by the Department of Conservation's West Coast Conservancy in the National Vegetation Survey (NVS) database were analysed to show which forest types were adequately sampled according to identifiable forest types, and within each type, in space and in time. From 404 permanent forest plots considered in analysis, eight forest types were determine...

Understanding tree growth as a function of tree size is important for a multitude of ecological and management applications. Determining what limits growth is of central interest, and forest inventory permanent plots are an abundant source of long-term information but are highly complex. Observation error and multiple sources of shared variation (spatial plot effects, temporal repeated measures...

We provide algebraic simplifications for the redundancy analysis (RDA) eigenvalue and the canonical correspondence analysis (CCA) eigenvalue in the special case of permanent plots sampled twice. The indices for RDA and CCA are interrelated and are intuitively interpretable. These simplifications also apply to simple split-plot designs and to a balanced design with two independent samples.