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It would be useful to know what data should be obtained to convert an indecisive to a decisive data set, or to convert one that is decisive with low probability to one that is decisive with high probability.
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Our data set was not phylogenetically decisive [ 36]: some taxonomic triplets in our concatenated data set were not sequenced for the same gene.
If we were to continue sampling loci with the same coverage density (14%) in the hopes of constructing a data set with high probability of being decisive for the true tree (Theorem 2, with perfect resolution), 2932 loci would be minimally necessary, and 23,891 would suffice.
A pattern of taxon coverage is decisive for some tree on all the taxa in a multi-locus data set if that tree is uniquely defined by combining the (correctly inferred and perfectly concordant) trees from the separate loci.
The need to address these issues with scientific rigor calls for increased attention to forest density measurement to produce a consistent global data set that acknowledges the importance of forest density, in addition to area, as a decisive factor.
Not all possible taxonomic triplets in the concatenated data set are represented in individual gene alignments, which means that our taxon sampling is not phylogenetically decisive [ 36].
That data is a very different types of data set.
Repeat for next data set.
Nevertheless, substantial (8.2% of genes), strong (2.2%), very strong (1.1%) and decisive evidences (0.6%) of within-gene heterogeneous residual variances following Jeffreys' [ 23] scale were detected (Table 2; Figure 3) in this free-access data set.
Complete data set: 25 countries.
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