COMPARING TREE-RING CHRONOLOGIES AND REPEATED TIMBER INVENTORIES AS FOREST MONITORING TOOLS

Abstract

Historical information on forest growth is essential to evaluate and under- stand change in managed and unmanaged forests. Two ground-truth nondestructive sources of information on interannual to interdecadal changes are (a) repeated timber inventories and (b) tree-ring chronologies. I present here a case study of how those two types of data can complement and benefit each other. At the Gus Pearson Research Natural Area, a ponderosa pine stand near Flagstaff (Arizona, USA), timber inventories were repeated by the U.S. Forest Service from 1920 to 1990. The analysis of those data has revealed a decline of individual tree growth over the 20th century, attributed to increased stand density. Monthly precipitation and temperature at the study area showed no overall trend from 1910 to 1990. Tree-ring data collected at the area after 1990, and spanning the last few centuries, were compared to the inventory data to represent growth trends. Periodic basal area in- crement computed from forest inventories showed parallel trends but higher absolute values (especially for small pines) than periodic basal area increment computed from increment cores. Among selected ways of developing a tree-ring chronology, average ring area closely matched repeated forest inventories for 20th century trends and revealed that decadal-scale growth rates in the 1900s have been anomalous compared to the previous 300 years. The mensurational and dendrochronological approaches to forest monitoring showed advantages and disadvantages. Repeated forest inventories quantified growth of individual trees and of the entire stand, thus providing a complete picture, even in retrospect; but they had longer-than-annual resolution, and covered only the last decades. Dendrochronological data quantified annual xylem growth of individual trees over their whole life span, thus placing recent growth trends into a much longer historical perspective; but they had limited spatial coverage and could lead to different trends depending on the type of standardization option. Overall, the combination of both approaches is recommended for evaluating changes of forest growth at multiannual scales.