Tree-Ring Growth in High-Altitude Bristlecone Pine as Related to Meteorological Factors: Research Proposal

TitleTree-Ring Growth in High-Altitude Bristlecone Pine as Related to Meteorological Factors: Research Proposal
Publication TypeReport
Year of Publication1968
AuthorsLaMarche, VC
InstitutionLaboratory of Tree-Ring Research
CityTucson
TypeResearch Proposal
Keywordsbristlecone pine, cold sensitive, dendroclimatology, drought sensitive, high altitude, meteorological, NSF, pinus aristata, precipitation, temperature, tree ring
Abstract

Important climatic information may be contained in long tree-ring records from the upper treeline of mid-latitude mountains. Preliminary work and the results of related research suggest that the variation in annual ring-width series from bristlecone pine (P. aristata) at the upper treeline is related to year-to-year differences in the temperature regime, in contrast to the "drought sensitivity" of this species near the lower forest border. Therefore, the establishment of a quantitative relationship between meterological factors and tree-ring growth at the upper treeline may permit the extension of temperature records, ad would provide an additional tool for evaluating certain environmental characteristics of remote, high-mountain regions. Direct comparison of tree-ring chronologies from "drought-sensitive" conifers at the lower forest border with those from "cold-sensitive" trees at the nearby upper treeline might also lead to the separation of precipitation and temperature effects in paleoclimatic reconstruction.The basic approach involves the empirical comparison of tree-ring chronologies with concurrent meteorological time series in a few areas in the western United States, selected for the proximity of a bristlecone pine treeline to one or more high altitude weather stations. A number of replicated tree-ring samples will be dated, measured, standardized, and evaluated to form the basic tree-ring chronologies. testing the association between the ring-widths and meteorological factors will proceed through the development of progressively refined empirical models. Consistency with available biological data will serve as a general guide in the development of a meaningful model.

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