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These new rings form on the outside of the tree, nearest the bark, meaning that the interior rings are the oldest, and often the most difficult to accurately measure.

These age-old guardians have fascinated people around the world since time immemorial, but for people in modern times, there is a great deal of curiosity about accurately calculating the age of trees. Short Answer: The only guaranteed method is knowing when the tree was planted, but tree growth rings are also highly accurate – to a point – in determining the age of a tree.

Cross-dating tree-ring for trees growing in humid and high alitude areas is difficult.

We propose a new approach for tree-ring dating that combines the digital radiography image and the subsection of tree-ring image using Pinus aiwanensis for testing.

The primary functions of are to (1) perform bootstrapped response and correlation functions; (2) conduct seasonal correlation analysis with tree growth; (3) conduct forward and backward evolution analyses for temporal stability tests; (4) evaluate trends on correlations betwen tree growth and climate over time; and (5) evaluate reconstruction skills for use in dendroclimatology and dendroecology.

RStudio is highly recommended for running this package and any R package in the dendro sciences!