Radial growth responses of four oak species to climate in eastern and central North America
This study characterized associations between climate variables and radial growth of four oak species at sites distributed across central and eastern North America. Tree-ring data were obtained from 24, 29, 33, and 55 sites for Quercus prinus L., Quercus velutina Lam., Quercus macrocarpa Michx., and...
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Veröffentlicht in: | Canadian journal of forest research 2015-07, Vol.45 (7), p.793-804 |
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Sprache: | eng |
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Zusammenfassung: | This study characterized associations between climate variables and radial growth of four oak species at sites distributed across central and eastern North America. Tree-ring data were obtained from 24, 29, 33, and 55 sites for Quercus prinus L., Quercus velutina Lam., Quercus macrocarpa Michx., and Quercus stellate Wangenh., respectively. Pearsonâs correlation coefficients were computed between radial growth and monthly and seasonal temperature and precipitation. Growth was most strongly and consistently correlated with precipitation and temperature during the early growing season (May to July). Coincident positive correlations with precipitation and negative correlations with temperature indicate that this relationship is mediated by site water balance. The combination of this plausible causeâeffect mechanism and extensive spatial replication of these correlations suggest that they reflect causeâeffect relationships. Growth of Q.stellata was correlated with precipitation during the dormant season, suggesting that stored soil water is important for growth of this species in the southern Great Plains. Despite substantial spatial variation in temperature and growing-season initiation between sites in Texas and Manitoba, Canada, there was little variation in the phenology of growthâclimate associations; growthâclimate correlations were strongest during the same MayâJuly period at all sites. Results of this study support the hypothesis that temperate zone ring-porous oak species have similar phenology of growthâclimate correlations and can be treated as a biologically meaningful functional group in forest simulation models. |
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ISSN: | 1208-6037 0045-5067 1208-6037 |
DOI: | 10.1139/cjfr-2015-0020 |