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For both the theoretical analysis and experimental data, we observe that, under reasonable noise levels, autocorrelations in the time series data allow dense sampling to better determine the correct levels of non-sampled points when compared to replicate sampling.
Within each replicate, sampling unit data were significantly different (P = 0.000) and this suggested some improvement in the applied sampling design was needed.
We conducted mist-netting in eight forest strips connected to continuous forest (four of each forest type), with a total of 24 replicate sampling sites located near to (<1 km), far from (2.5 9 km), and within undisturbed forest controls (i.e. 16 samples within the strips, and 8 in controls).
The experimental replicate sampling scheme for each technology is depicted.
Because of the complexity of the NPHS sampling strategy, a variance calculation method based on a bootstrap procedure employing 500 replicate sampling weights was employed.
Replicate sampling plot (Replication), and replicate sampling plot nested within each sampling year (Year/Replication) were set up as the random effect for former and latter models, respectively.
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Replicate sample spectra were averaged, baseline corrected, and normalized.
Genotyping concordance assessed using replicate samples exceeded 99%.
Replicate samples from each region and stage were prepared.
Relative standard deviation of replicate samples (n = 6) was 2.19%.
Each column represents a single replicate sample (U = U87 mg, D = DAOY).
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