期刊文献+

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

Inter-and intra-seasonal effects of temperature variation on radial growth of alpine treeline Norway spruce
下载PDF
导出
摘要 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 lateJune(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.
出处 《Journal of Mountain Science》 SCIE CSCD 2016年第1期1-12,共12页 山地科学学报(英文)
基金 the support of the Academy of Finland(#251441)
  • 相关文献

参考文献56

  • 1Andreassen 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: lo.ao16/j.foreco.2005.10. 029.
  • 2Biondi F (1997) Evolutionary and moving response functions in dendroelimatology. Dendroehronologia 15: 139-150.
  • 3Biondi F, Waikul K (2004) DENDROCLIM2002: A C++ program for statistical calibration of climate signals in tree- ring chronologies. Computers & Geosciences 30: 303-311. DOI: 10.1016/j.cageo.2003.11.004.
  • 4Box GEP, Jenkins GM (1970) Time series analysis: forecasting and control. San Franeiseo: Holden-Day. p 553.
  • 5Briffa 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 137-152.
  • 6Briffa 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: lo.loo7/ bfoo211153.
  • 7Briffa KR, Jones PD, Sehweingruber FH, et al. (1996) Tree-ring variables as proxy-climate indicators: problems with low- frequency 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_2.
  • 8Btintgen U, Frank DC, Schmidhalter M, et al. (2006) Growth/climate response shift in a long subalpine spruce chronology. Trees 2o: 99-110. DOI: 10.1007/soo468-005- 0017-3.
  • 9Cook ER (1985) A time-series analysis approach to tree-ring standardization. PhD thesis, University of Arizona, Tucson.
  • 10Cook 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.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部