Creationists have shown that the biblical kind is usually larger than the ‘species’ and in many cases even larger than the ’genus’—see my article Ligers and wholphins? Taking this into account would bring the age of the oldest living Bristlecone Pine into the post-Flood era.
Claimed older tree ring chronologies depend on the cross-matching of tree ring patterns of pieces of dead wood found near living trees.
Tree-ring series can be classified as either complacent (uniform ring widths where moisture and heat are sufficient throughout the growing season) or sensitive (pronounced year to year variation in ring width, where conditions are frequently near the limits of the trees tolerance, e.g. The search for proxy climatic data was the original application of tree rings. In 1901, he noticed ring-width variations on a cut log and reasoned that these were controlled by the tree's environment (Fritts, 1976).
Douglass (1920) illustrated the relationship between climate and ring width by plotting both against time, and introduced the technique of cross dating by correlating ring-width signatures (sequences of wide and narrow rings) among trees distributed over large areas.
Methods, such as radiocarbon dating, dendro-chronology or superposition axiom forms one bases sciences geology, archaeology, fields dealing stratigraphy.
A tree ring pattern that matches is found close to where the carbon ‘dates’ are the same. It assumes that it is approximately correct to linearly extrapolate the carbon ‘clock’ backwards. The closer one gets back to the Flood the more inaccurate the linear extrapolation of the carbon ‘clock’ would become, perhaps radically so.At the same time, this chronology is probably the longest absolutely dated and annually resolved temperature proxy record.Sample collection has been made in intensive collaboration with the Finnish Forest Research Institute and SAIMA Centre for Environmental Sciences.However, when the interpretation of scientific data contradicts the true history of the world as revealed in the Bible, then it’s the interpretation of the data that is at fault.It’s important to remember that we have limited data, and new discoveries have often overturned previous ‘hard facts’.