Abstract

The climate–growth relationship of larch (Larix decidua Mill.) in the Polish Carpathian Mountains was studied. We explored the spatial variability of the common signal observed in larch tree-ring growth, distinguished regions with uniform tree-ring growth patterns (dendrochronological signal), and determined the climatic factors that are particularly important for the growth of larch in this area. Uniformity in the growth reaction across the analyzed area was found in the positive response to May temperatures (significant correlation values range from 0.21 to 0.48); this indicates that the warm beginning of the growing season is important for larch growth across the study area. The signal variability from west to east found in the principal components analysis (PCA) results and differences in climate response between analyzed sites suggest their relation to increasing influence of the continental climate to the east. However, the observed relationship is not stable and does not occur systematically. Although the climate–growth response of larch at lower elevations is highly variable, a positive influence of July precipitation and a negative influence of April precipitation, and previous May and July temperature can be observed. The growth of larch from the highest study sites (Tatra Mountains, above 950 m a.s.l.) is related to temperature. This is manifested by a strong positive correlation with temperature during late spring, early summer, and the end of the previous growing season, and a negative or no response to late spring/summer precipitation. No relation between the observed correlations and slope aspect was found.

Highlights

  • The climate is one of the most important factors that influence forest ecosystems, as its changes can greatly affect the growth of trees and forest productivity [1]

  • Principal component analysis was performed for deeper analysis of the observed clustering and Principal component analysis was performed for deeper analysis of the observed clustering and understanding of the obtained division

  • The first principal component explained 44% of the variance, whereas PC2 and PC3 contribute 10% and 7%, respectively

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Summary

Introduction

The climate is one of the most important factors that influence forest ecosystems, as its changes can greatly affect the growth of trees and forest productivity [1]. More knowledge about how forests respond to climate variability is needed to predict and assess the effect of future climate changes on mountain forest ecosystems [3]. It is necessary to improve management strategies and adjust forestry practices [1,4,5]. In this context, tree-ring analysis is a valuable data source that provides information on the influence of past and recent climatic variations on tree growth as well as possible forest responses to predicted climate changes (see [6] for review). Climate–growth relationship analysis makes it possible to identify and assess the influence of the most growth-limiting climatic factors

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