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Model parameters were unlinked, posterior probabilities of tree topologies were estimated from both partitions (the plastid and the mitochondrial data), and trees were sampled every 10000th generation.
On the other hand, the sequence data and trees are provided; therefore, different models can be run and assessed using the log-likelihood values or the LRT (3).
Distances were also calculated using Tree-Puzzle with the same settings (and parameters estimated from the data), and trees constructed using WEIGHBOUR 1.0.1a [ 35]. 100 bootstrap replicates were carried out using puzzleboot [ 36], which gave similar results as maximum likelihood (not shown).
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Monthly instrumental streamflow records were used to assess the temporal relationship between climatic data and tree-ring records.
Our focus here is to scrutinize the decadal variability and change in these models and compare them with historical data and tree-ring records.
This paper offers a task by data type taxonomy with seven data types (one-, three-dimensionalsional data, temporal and multi-dimensional data, and tree and network data) and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts).
Fire scar data and tree age class distributions indicate a period of high fire about 1500, possibly associated with a relatively warm climate [36, 37].
And there are questions concerning the fit between data and tree topology: How likely are specific alternative tree topologies?
Third, we used nonoverlapping generations, which make individual level comparisons with forest inventory data and tree ring increment measurements difficult.
With this pipeline, it is possible to produce phylogenetic trees for any taxonomic group and to monitor new data and tree robustness in a taxon of interest.
Fire scar data and tree age class distributions indicate a period of high fire about 1500, possibly associated with a relatively warm climate [ 36, 37].
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