Similarly, it is correct that data pruning and sampling effort (models 7 &8) have a poor fit, but so does model 9 (body length), where the fit is worse in D/Dmin of Pruning 1 and 2 than for models 7 and 8. Author's response: We have corrected the text; please see Results/Discussion, part 3.2.
They wanted to see if brands would be "excited about the fact that what we can give them ROI data" on their sampling efforts, data that had traditionally been lacking.
The Bayesian approach provided instead a rational and coherent foundation for using all the available information, while explicitly accounting for differences in uncertainty and sampling effort of data [40].
Taxonomic distinctness analysis avoids most problems associated with traditional measures of species richness, and is thus useful for comparing diversity across data sets and studies with uncontrolled, unequal, or unknown degrees of sampling effort, where quantitative data are not available and samples consist of a species list (presence/absence data) [46], [47].
The 2005 cohort appears to be relatively much reduced in samplings from fall 2006, despite similar sampling effort and catchability (data not shown).
Our results cannot be directly compared with the SOND cruise data because of differences in sampling effort between the two studies.
As can be seen from the above field data, sample areas and effort are generally not standardized throughout the tropics.
Even though data results are from the largest sampling effort available, the lack of a clear sampling strategy in the collection of wild-bird data precludes a definite answer to whether poultry flocks were infected with HPAI (H5N1) from infected wild birds or vice versa.
In ten simulations, where data were thinned to a constant sampling effort across time and number of PCR attempts per sample, age significantly affected amplification success (p < 0.001), confirming a decline in PCR success in older samples.
Second, we conducted a taxonomic distinctness analysis, which is useful for comparing diversity across studies with uncontrolled, unequal, or unknown degrees of sampling effort, and where quantitative data are not available and samples consist of a species list [16], [17].
