Dendrochronology cross dating

Definitions The Principle of Cognitive Classification The Principle of Crossdating The Prinicple of Trees as Dynamic Entities The Principle of Plurality and Parsimony The Principle of Aggregate Tree Growth The Principle of Limiting Factors The Principle of Replication across Spatiotemporal Scales The Principle of Site Selection (dendron = tree, chronos = time, logos = word = the science of): The science that uses tree rings dated to their exact year of formation to analyze temporal and spatial patterns of processes in the physical and cultural sciences.

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Example: analyzing the effects of air pollution on tree growth by studying changes in ring widths over time.

The science that uses tree rings to date earth surface processes that created, altered, or shaped the landscape.

However, prior to any proxy-based climate or environmental reconstruction, a calibration between the proxy archive and an instrumental series is required.

Dendrochronology techniques were applied to the marine bivalve to demonstrate the benefits of visual crossdating and replication of growth series (growth within one shell and between multiple shells in the same population).

It is also used in radiocarbon dating to calibrate radiocarbon ages.

New growth in trees occurs in a layer of cells near the bark.

In 1859, the German-American Jacob Kuechler (1823–1893) used crossdating to examine oaks (Quercus stellata) in order to study the record of climate in western Texas.

During the first half of the 20th century, the astronomer A. Douglass founded the Laboratory of Tree-Ring Research at the University of Arizona.

Since cross-dating depends on matching the high-frequency elements of a sample against a master chronology, various methods are explored for removing the low-frequency variance in ring-width series before they are compared.

The results show that a range of such “pre-whitening” methods can usefully be employed, and no single method is universally superior.

The danger in attempting to date samples with relatively few rings, regardless of how the data are treated, is emphasized by these results.

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