Dendroclimatological analysis and tree-ring growth prediction of Quercus mongolica

Abstract Tree-ring growth of forest trees is closely related to climate and environment changes during growth period, thus it is able to provide precise information on climate changes. Therefore, the current study is intended to estimate growth changes and to develop an estimating formula for ring-growth based on climate factors for Quercus mongolica. The tree-ring data used are from the 5th national forest inventory conducted nationwide, with climate data in a raster format from the Korea Meteorological Administration. Using dendroclimatological method, summary statistics were obtained through cross-dating and standardization, and tree-ring chronology was written. The findings indicate that the variation and fluctuation in the tree-ring growth index are the outcome of complicated effects of diverse climate factors including temperature and precipitation. Also, significant annual variance for Q. mongolica has been observed, with the decreasing temperature efficiency index for it, so that the temperature condition for its growth is getting worse. The statistical analysis to estimate the relationship between tree-ring growth and climate factors is expected to contribute to evaluating changes in productivity which will be affected by climate change in the future.

[1]  Martijn Gough Climate change , 2009, Canadian Medical Association Journal.

[2]  John J. Clague,et al.  A multi‐species dendroclimatic reconstruction of Chilko River streamflow, British Columbia, Canada , 2010 .

[3]  C. Nabais,et al.  Age-dependent responses of tree-ring growth and intra-annual density fluctuations of Pinus pinaster to Mediterranean climate , 2009, Trees.

[4]  G. Yohe,et al.  A globally coherent fingerprint of climate change impacts across natural systems , 2003, Nature.

[5]  F. Woodward,et al.  Sensitivity analysis of vegetation diversity to environmental change , 1991 .

[6]  L. Crozier WARMER WINTERS DRIVE BUTTERFLY RANGE EXPANSION BY INCREASING SURVIVORSHIP , 2004 .

[7]  James S. Clark,et al.  Invasion by Extremes: Population Spread with Variation in Dispersal and Reproduction , 2001, The American Naturalist.

[8]  C. Field,et al.  The velocity of climate change , 2009, Nature.

[9]  Prof. Dr. Bruce J. Zobel,et al.  Wood Variation , 1989, Springer Series in Wood Science.

[10]  Julio L. Betancourt,et al.  Ecology and the ratchet of events: Climate variability, niche dimensions, and species distributions , 2009, Proceedings of the National Academy of Sciences.

[11]  Ronald D. Snee,et al.  Validation of Regression Models: Methods and Examples , 1977 .

[12]  R. Shaw,et al.  Range shifts and adaptive responses to Quaternary climate change. , 2001, Science.

[13]  Sarah Eichmann,et al.  Tree Rings And Climate , 2016 .

[14]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[15]  Keith R. Briffa,et al.  Basic chronology statistics and assessment , 1990 .

[16]  G. MacDonald,et al.  Relations between tree-ring widths, climate, and annual area burned in the boreal forest of Alberta , 1995 .

[17]  J. R. Wallis,et al.  Some ecological consequences of a computer model of forest growth , 1972 .

[18]  Y. Yim Distribution of forest vegetation and climate in the Korean Peninsula. iII. distribution of tree species along the thermal gradient , 1977 .

[19]  F. Lebourgeois,et al.  Mixed stands reduce Abies alba tree-ring sensitivity to summer drought in the Vosges mountains, western Europe , 2013 .

[20]  J. Speer Fundamentals of Tree Ring Research , 2010 .

[21]  T. Wigley,et al.  On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology , 1984 .

[22]  P. Larson Stem Form Development of Forest Trees , 1963 .

[23]  Martin T. Sykes,et al.  Climate change, tree species distributions and forest dynamics: A case study in the mixed conifer/northern hardwoods zone of northern Europe , 1996 .

[24]  Bruce J. Zobel,et al.  Wood Variation: Its Causes and Control , 1989 .

[25]  P. Young,et al.  Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.

[26]  Panel Intergubernamental sobre Cambio Climático Climate change 2007: Synthesis report , 2007 .

[27]  Quazi K. Hassan,et al.  Projected impacts of climate change on species distribution in the Acadian Forest region of eastern Nova Scotia , 2008 .

[28]  N. Guttman COMPARING THE PALMER DROUGHT INDEX AND THE STANDARDIZED PRECIPITATION INDEX 1 , 1998 .

[29]  H. Fritts,et al.  Tree Rings and Climate. , 1978 .

[30]  Martial Bernoux,et al.  Soils, a sink for N2O? A review , 2007 .

[31]  I. Cañellas,et al.  Black pine (Pinus nigra Arn.) growth divergence along a latitudinal gradient in Western Mediterranean mountains , 2010, Annals of Forest Science.

[32]  G. Mace,et al.  Beyond Predictions: Biodiversity Conservation in a Changing Climate , 2011, Science.

[33]  D. H. Sander SOIL PROPERTIES AND SIBERIAN ELM TREE GROWTH IN NEBRASKA WINDBREAKS , 1971 .

[34]  F. Woodward Climate and plant distribution , 1987 .

[35]  T. Kira A climatological interpretation of Japanese vegetation zones , 1977 .

[36]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[37]  Harold E. Burkhart,et al.  An Evaluation of Sampling Methods and Model Forms for Estimating Height-Diameter Relationships in Loblolly Pine Plantations , 1992, Forest Science.

[38]  Y. Bergeron,et al.  Dendroclimatic analysis of Acer saccharum, Fagus grandifolia, and Tsuga canadensis from an old- growth forest, southwestern Quebec , 2001 .

[39]  J. Camarero,et al.  Climate increases regional tree‐growth variability in Iberian pine forests , 2007 .

[40]  Jong-hwan Lim,et al.  Effect of Yearly Changes in Growing Degree Days on the Potential Distribution and Growth of Quercus mongolica in Korea , 2016 .

[41]  Edward R. Cook,et al.  A time series analysis approach to tree-ring standardization , 1985 .