RESEARCH PAPER
Climatic signal in tree-ring chronologies of Cedrus deodara from Chitral Hindukush Range of Pakistan
1
Department of Botany, University of Malakand, Khyber Pakhtunkhwa, Pakistan
2
Laboratory of Dendrochronology and Plant Ecology, Department of Botany, Federal Urdu University, 75300, Karachi, Pakistan
Online publication date: 2013-06-19
Publication date: 2013-09-01
Geochronometria 2013;40(3):195-207
KEYWORDS
ABSTRACT
Tree-rings are an important tool for the investigation of paleoclimatic records for regions or periods of time with no instrumental climatic data. However, the responses of different species and sites to various climatic parameters are unusual. In the present study, we developed tree-ring-width chronologies of Cedrus deodara from three different sites of Chitral Hindukush range of Pakistan. The study was conducted to understand tree-growth climate relationship and its applicability in proxy climate investigations. The chronologies covered the past 469 to 595 years, with a mean segment length (MSL) ranging from 148 to 223 years. Climatic data obtained from the three weather stations showed strong correlation and was found useful for tree-ring climate relationships.
Correlation Function (CF) and Response Function (RF) analysis showed that spring precipitation (March–May) is a critical limiting factor for tree-ring growth, and temperature prior to November may also play a major role in affecting tree ring-growth. The results exposed that the three sites have continuous relationship indicated that only single species from different locations are affected by the same environmental variables and hence can be used in climate reconstruction in combination. The Cedrus deodara chronologies developed at different locations had several corresponding narrow and wide marker rings indicating a large macroclimatic response to regional climatic conditions. The current study suggests that the tree-rings of Cedrus deodara from the Chitral Hindukush range could be used to develop chronologies for the reconstruction of seasonal climatic variables.
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