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Journal of Mountain Science

, Volume 13, Issue 1, pp 1–12 | Cite as

Inter- and intra-seasonal effects of temperature variation on radial growth of alpine treeline Norway spruce

  • Samuli HelamaEmail author
  • Raimo SutinenEmail author
Article

Abstract

A widely accepted standpoint contends that plant growth near the cold edge of the species range, such as treelines, does not depend on the annual temperature seasonality (i.e. difference between maximum and minimum temperature values) but rather on the warmth of summer season. In contrast to this expectation, we show that the growth of treeline Norway spruce (Picea abies) is well explained by temperature seasonality as a single climatic determinant. To do so, the tree-ring data of spruce trees growing on alpine treeline in Lapland was compared with long climate records. Biennial time-series of temperature seasonality capture both the decadal and abrupt growth fluctuations with a correlation coefficient of r = 0.601. We also show that the archetypal association between summer temperature and treeline tree growth may in fact be by far a more complex relationship than previously thought. Spruce growth appears responsive to late- June (r = 0.494) and mid-July (r = 0.310) temperatures but unresponsive to temperatures during the early July, that is, during the grand period of the tracheid formation. Climatic warming may enhance the treeline spruce growth unless the warming is concentrated on unresponsive interval in the midst of the growing season. Water relations did not play significant role as agents of P. abies growth.

Keywords

Annual temperature cycle Climatic extremes Dendroclimatology Plant-climate interactions Temperature seasonality Tree-ring 

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References

  1. Andreassen K, Solberg S, Tveito OE, Lystad SL (2006) Regional differences in climatic responses of Norway spruce (Picea abies L. Karst.) growth in Norway. Forest Ecology and Management 222: 211–221. DOI: 10.1016/j.foreco.2005.10.029CrossRefGoogle Scholar
  2. Biondi F (1997) Evolutionary and moving response functions in dendroclimatology. Dendrochronologia 15: 139–150.Google Scholar
  3. Biondi F, Waikul K (2004) DENDROCLIM2002: A C++ program for statistical calibration of climate signals in treering chronologies. Computers & Geosciences 30: 303–311. DOI: 10.1016/j.cageo.2003.11.004CrossRefGoogle Scholar
  4. Box GEP, Jenkins GM (1970) Time series analysis: forecasting and control. San Francisco: Holden-Day. p 553.Google Scholar
  5. Briffa K, Jones PD (1990) Basic chronology statistics and assessment. In: Cook ER, Kairiukstis LA (eds.), Methods of dendrochronology: applications in the environmental sciences. Dordrecht: Kluwer Academic Publishers. pp 137–152Google Scholar
  6. Briffa KR, Jones PD, Bartholin TS, et al. (1992) Fennoscandian summers from AD 500: temperature changes on short and long timescales. Climate Dynamics 7: 111–119. DOI: 10.1007/bf00211153CrossRefGoogle Scholar
  7. Briffa KR, Jones PD, Schweingruber FH, et al. (1996) Tree-ring variables as proxy-climate indicators: problems with lowfrequency signals. In: Jones PD, Bradley RS, Jouzel J (eds.), Climate Variations and Forcings Mechanisms of the Last 2000 Years. Berlin: Springer-Verlag. pp 9–41. DOI: 10.1007/978-3-642-61113-1_2CrossRefGoogle Scholar
  8. Büntgen U, Frank DC, Schmidhalter M, et al. (2006) Growth/climate response shift in a long subalpine spruce chronology. Trees 20: 99–110. DOI: 10.1007/s00468-005-0017-3CrossRefGoogle Scholar
  9. Cook ER (1985) A time-series analysis approach to tree-ring standardization. PhD thesis, University of Arizona, Tucson.Google Scholar
  10. Cook ER, Peters K (1981) The smoothing spline: a new approach to standardizing forest interior tree-ring width series for dendroclimatic studies. Tree-Ring Bulletin 41: 45–53.Google Scholar
  11. Cook E, Briffa K, Shiyatov S, Mazepa V (1990a) Tree-Ring standardization and growth-trend estimation. In: Cook ER, Kairiukstis LA (eds.), Methods of dendrochronology: applications in the environmental sciences. Dordrecht: Kluwer Academic Publishers. pp 104–123.CrossRefGoogle Scholar
  12. Cook E, Shiyatov S, Mazepa V (1990b) Estimation of the mean chronology. In: Cook ER, Kairiukstis LA (eds.), Methods of dendrochronology: applications in the environmental sciences. Dordrecht, Kluwer Academic Publishers. pp 123–132.CrossRefGoogle Scholar
  13. Crawford RMM, Jeffree CE (2007) Northern climates and woody plant distribution. In: Ørbæk JB, Kallenborn R, Tombre I, et al. (eds.), Arctic Alpine ecosystems and people in a changing environment. Berlin, Heidelberg: Springer-Verlag. pp 85–104. DOI: 10.1007/978-3-540-48514-8_6CrossRefGoogle Scholar
  14. D’Arrigo R, Davi N, Jacoby G, et al. (2014) Dendroclimatic Studies: Tree Growth and Climate Change in Northern Forests. John Wiley & Sons, Hoboken, New Jersey, USA. p 80.Google Scholar
  15. Dye D, Tucker CJ (2003) Seasonality and trends of snow-cover, vegetation index, and temperature in northern Eurasia. Geophysical Research Letters 30: 1405. DOI: 10.1029/2002 GL016384.CrossRefGoogle Scholar
  16. Grace J, Berninger F, Nagy L (2002) Impacts of climate change on the tree line. Annals of Botany 90: 537–544. DOI: 10.1093/aob/mcf222CrossRefGoogle Scholar
  17. Harsch MA, Hulme PE, McGlone MS, Duncan RP (2009) Are treelines advancing? Aglobal meta-analysis of treeline response to climate warming. Ecology Letters 12: 1040–1049. DOI: 10.1111/j.1461-0248.2009.01355.xCrossRefGoogle Scholar
  18. Helama S, Läänelaid A, Tietäväinen H, et al. (2010) Late Holocene climatic variability reconstructed from incremental data from pines and pearl mussels–a multi-proxy comparison of air and subsurface temperatures. Boreas 39: 734–748. DOI: 10.1111/j.1502-3885.2010.00165.xCrossRefGoogle Scholar
  19. Helama S, Lindholm M, Timonen M, Eronen M (2004) Detection of climate signal in dendrochronological data analysis: a comparison of tree-ring standardization methods. Theoretical and Applied Climatology 79: 239–254. DOI: 10.1007/s00704-004-0077-0CrossRefGoogle Scholar
  20. Hämet-Ahti L, Ruuhijärvi R, Suominen J (1988) Vegetation and flora. In: Alalammi P (ed.), Atlas of Finland. Biogeography, Nature Conservation. Helsinkin: National Board of Survey, Geographical Society of Finland, Helsinki. pp 1–10.Google Scholar
  21. Henttonen H (1984) The dependence of annual ring indices on some climatic factors. Acta Forestalia Fennica 186: 1–38.Google Scholar
  22. Henttonen HM, Mäkinen H, Nöjd P (2009) Seasonal dynamics of wood formation of Scots pine and Norway spruce in southern and central Finland. Canadian Journal of Forest Research 39: 606–618. DOI: 10.1139/x08-203CrossRefGoogle Scholar
  23. Holmes RL (1983) Computer-assisted quality control in treering dating and measurement. Tree-Ring Bulletin 43: 69–75.Google Scholar
  24. Jones PD, Briffa KR, Osborn TJ (2003) Changes in the Northern Hemisphere annual cycle: Implications for paleoclimatology? Journal of Geophysical Research 108: 4588. DOI: 10.1029/2003JD003695.CrossRefGoogle Scholar
  25. Jones PD, Lister DH, Osborn TJ, et al. (2012) Hemispheric and large-scale land-surface air temperature variations: An extensive revision and an update to 2010. Journal of Geophysical Research 117: D05127. DOI: 10.1029/2011 JD017139Google Scholar
  26. Jonsson B (1969) Studier över den av väderleken orsakade variationen i årsringsbredderna hos tall och gran i Sverige. The Royal College of Forestry, Department of Forest Yield Research, Research notes 16: 1–297.Google Scholar
  27. Jyske T, Mäkinen H, Kalliokoski T, Nöjd T (2014) Intra-annual tracheid production of Norway spruce and Scots pine across a latitudinal gradient in Finland. Agricultural and Forest Meteorology 194: 241–254. DOI: 10.1016/j.agrformet.2014.04.015CrossRefGoogle Scholar
  28. Fritts HC (1976) Tree rings and climate. London: Academic. p 567.Google Scholar
  29. Lavoie C, Payette S (1992) Black Spruce Growth Forms as a Record of a Changing Winter Environment at Treeline, Quebec, Canada. Arctic and Alpine Research 24: 40–49. DOI: 10.2307/1551318CrossRefGoogle Scholar
  30. Macias-Fauria M, Grinsted A, Helama S, Holopainen J (2012) Persistence matters: estimation of the statistical significance of paleoclimatic reconstruction statistics from autocorrelated time series. Dendrochronologia 30: 179–187. DOI: 10.1016/j.dendro.2011.08.003CrossRefGoogle Scholar
  31. Mäkinen H, Nöjd P, Mielikäinen K (2000) Climatic signal in annual growth variation of Norway spruce (Picea abies) along a transect from central Finland to the Arctic timberline. Canadian Journal of Forest Research 30: 769–777. DOI: 10.1139/x00-005CrossRefGoogle Scholar
  32. Mäkinen H, Nöjd P, Mielikäinen K (2001) Climatic signal in annual growth variation in damaged and healthy stands of Norway spruce (Picea abies (L.) Karst.) in southern Finland. Trees 15:177–185. DOI: 10.1007/s004680100089CrossRefGoogle Scholar
  33. Mäkinen H, Nöjd P, Saranpää P (2003) Seasonal changes in stem radius and production of new tracheids in Norway spruce. Tree Physiology 23: 959–968. DOI: 10.1093/treephys/23.14.959CrossRefGoogle Scholar
  34. Mann ME, Park J (1996) Greenhouse warming and changes in the seasonal cycle of temperature: Model versus observations. Geophysical Research Letters 23:1111–1114. DOI: 10.1029/96gl01066CrossRefGoogle Scholar
  35. Melvin TM (2004) Historical growth rates and changing climatic sensitivity of boreal conifers. PhD thesis, University of East Anglia, UK.Google Scholar
  36. Melvin TM, Briffa KR (2008) A “signal-free” approach to dendroclimatic standardisation. Dendrochronologia 26: 71–86. DOI: 10.1016/j.dendro.2007.12.001CrossRefGoogle Scholar
  37. Miina J (2000) Dependence of tree-ring, earlywood and latewood indices of Scots pine and Norway spruce on climatic factors in eastern Finland. Ecological Modelling 132: 259–273. DOI: 10.1016/s0304-3800(00)00296-9CrossRefGoogle Scholar
  38. Mikkonen S, Laine M, Mäkelä HM, et al. (2015) Trends in the average temperature in Finland, 1847–2013. Stochastic Environmental Research and Risk Assessment 29: 1521–1529. DOI: 10.1007/s00477-014-0992-2CrossRefGoogle Scholar
  39. Moen A (1999) National Atlas of Norway—Vegetation. Hønefoss: Norwegian mapping authority. p 200.Google Scholar
  40. Monserud RA (1986) Time-series analyses of tree-ring chronologies. Forest Science 32: 349–372.Google Scholar
  41. Paulsen J, Körner C (2014) A climate-based model to predict potential treeline position around the globe. Alpine Botany 124: 1–12. DOI: 10.1007/s00035-014-0124-0CrossRefGoogle Scholar
  42. Rickebusch S, Lischke H, Bugmann H, et al. (2007) Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data. Forest Ecology and Management 246: 251–263. DOI: 10.1016/j.foreco.2007.04.030CrossRefGoogle Scholar
  43. Rossi S, Deslauriers A, Anfodillo T, Carraro V (2007) Evidence of threshold temperatures for xylogenesis in conifers at high altitudes. Oecologia 152: 1–12. DOI: 10.1007/s00442-006-0625-7CrossRefGoogle Scholar
  44. Rossi S, Deslauriers A, Anfodillo T, et al. (2006) Conifers in cold environments synchronize maximum growth rate of tree-ring formation with day length. New Phytology 170: 301–310. DOI: 10.1111/j.1469-8137.2006.01660.xCrossRefGoogle Scholar
  45. Rossi S, Deslauriers A, Gricar J, et al. (2008) Critical temperatures for xylogenesis in conifers of cold climates. Global Ecolgy and Biogeography 17: 696–707. DOI: 10.1111/j.1466-8238.2008.00417.xCrossRefGoogle Scholar
  46. Schwörer C, Henne PD, Tinner W (2014) A model-data comparison of Holocene timberline changes in the Swiss Alps reveals past and future drivers of mountain forest dynamics. Global Change Biology 20: 1512–1526. DOI: 10.1111/gcb.12456CrossRefGoogle Scholar
  47. Skre O, Nes K (1996) Combined effects of elevated winter temperatures and CO2 on Norway spruce seedlings. Silva Fennica 30: 135–143. DOI: 10.14214/sf.a9226CrossRefGoogle Scholar
  48. Sutinen R, Kuoppamaa M, Hyvönen E, et al. (2007) Geological controls on conifer distributions and their implications for forest management in Finnish Lapland. Scandinavian Journal of Forest Research 22:476–487. DOI: 10.1080/0282758070 1672063CrossRefGoogle Scholar
  49. Sutinen R, Närhi P, Middleton M, et al. (2012) Advance of Norway spruce (Picea abies) onto mafic Lommoltunturi fell in Finnish Lapland during the last 200 years. Boreas 41: 367–378. DOI: 10.1111/j.1502-3885.2011.00238.xCrossRefGoogle Scholar
  50. Vajda A, Venäläinen A, Hänninen P, Sutinen R (2006) Effect of vegetation on snow cover at the northern forest line: a case study in Finnish Lapland. Silva Fennica 40: 195–207. DOI: 10.14214/sf.338CrossRefGoogle Scholar
  51. Wigley TML, Briffa KR, Jones PD (1984) On the average value of correlated time series, with applications in dendroclimatology and hydrometeorology. Journal of Climate and Applied Meteorology 23: 201–213. DOI: 10.1175/1520-0450(1984)023<0201:otavoc>2.0.co;2CrossRefGoogle Scholar
  52. Wilmking M, Juday GP, Barber VA, Zald HSJ (2004) Recent climate warming forces contrasting growth responses of white spruce at treeline in Alaska through temperature thresholds. Global Change Biology 10: 1724–1736. DOI: 10.1111/j.1365-2486.2004.00826.xCrossRefGoogle Scholar
  53. Wilson R, Elling W (2004) Temporal instability in treegrowth/climate response in the Lower Bavarian Forest region: implications for dendroclimatic reconstruction. Trees 18:19–28. DOI: 10.1007/s00468-003-0273-zCrossRefGoogle Scholar
  54. Worrall J (1970) Interrelationships among some phenological and wood property variables in Norway spruce. Tappi 53: 58–63.Google Scholar
  55. Worrall J (1973) Seasonal, daily, and hourly growth of height and radius in Norway spruce. Canadian Journal of Forest Research 3: 501–511. DOI: 0.1139/x73-074CrossRefGoogle Scholar
  56. Xu L, Myneni RB, Chapin FS, et al. (2013) Temperature and vegetation seasonality diminishment over northern lands. Nature Climate Change 3:581–586. DOI: 10.1038/nclimate 1836Google Scholar
  57. Zimmermann NE, Jandl R, Hanewinkel M, et al. (2013) Potential future ranges of tree species in the Alps. In: Cerbu GA, Hanewinkel M, Gerosa G, Jandl R (eds.), Management Strategies to Adapt Alpine Space Forests to Climate Change Risks. InTech, Rijeka, Croatia. pp 37–48. DOI: 10.5772/56279Google Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Natural Resources Institute FinlandRovaniemiFinland
  2. 2.Geological Survey of FinlandRovaniemiFinland

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