Literature DB >> 16786325

Plant phenological data and tree-rings as palaeoclimate indicators in south-west Finland since AD 1750.

Jari Holopainen1, Samuli Helama, Mauri Timonen.   

Abstract

Plant phenological data and tree-rings were tested for their palaeoclimatic value in south-west Finland since AD 1750. The information from fragmentary, partly overlapping, partly non-systematically biased plant phenological records of 14 different phenomena (a total of 3,144 observations) was combined into one continuous time series of phenological indices. All site- and phenomenon-specific series were standardized to present an average of zero and standard deviation of one. The mean phenomenon-specific series were then averaged as arithmetic means for annually resolved time series representing the variability in the particular plant phenomenon. Consequently, each phenomenon-specific mean series was based on spatially normalized site-specific index series. These series were compared to each other, living-tree and subfossil tree-rings, and to early and modern meteorological time series. Phenological indices showed strong positive correlation with February to June temperatures. On the other hand, the correlations between phenological indices and precipitation data were around zero. Analysis using time-dependent running correlations showed non-stationary relationship between the tree-rings and phenological indices and observed spring temperatures. The skill of phenological data for reconstructing the spring temperatures was statistically proved.

Mesh:

Year:  2006        PMID: 16786325     DOI: 10.1007/s00484-006-0037-8

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  8 in total

1.  Evaluation of methods for the combination of phenological time series and outlier detection.

Authors:  Jörg Schaber; Franz-W Badeck
Journal:  Tree Physiol       Date:  2002-10       Impact factor: 4.196

2.  Climate reconstruction. The value of multiple proxies.

Authors:  Michael E Mann
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

3.  The utilization of old phenological time series of budburst to compare models describing annual cycles of plants.

Authors:  P Hari; R Häkkinen
Journal:  Tree Physiol       Date:  1991-04       Impact factor: 4.196

4.  Improving the reliability of a combined phenological time series by analyzing observation quality.

Authors:  T Linkosalo; R Häkkinen; P Hari
Journal:  Tree Physiol       Date:  1996-07       Impact factor: 4.196

5.  Historical phenology: grape ripening as a past climate indicator.

Authors:  Isabelle Chuine; Pascal Yiou; Nicolas Viovy; Bernard Seguin; Valérie Daux; Emmanuel Le Roy Ladurie
Journal:  Nature       Date:  2004-11-18       Impact factor: 49.962

6.  Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data.

Authors:  Anders Moberg; Dmitry M Sonechkin; Karin Holmgren; Nina M Datsenko; Wibjörn Karlén; Stein-Erik Lauritzen
Journal:  Nature       Date:  2005-02-10       Impact factor: 49.962

7.  Methods for combining phenological time series: application to bud burst in birch (Betula pendula) in Central Finland for the period 1896-1955.

Authors:  R Häkkinen; T Linkosalo; P Hari
Journal:  Tree Physiol       Date:  1995-11       Impact factor: 4.196

8.  Effects of dormancy and environmental factors on timing of bud burst in Betula pendula.

Authors:  Risto Häkkinen; Tapio Linkosalo; Pertti Hari
Journal:  Tree Physiol       Date:  1998-10       Impact factor: 4.196

  8 in total
  2 in total

1.  Plant phenological records in northern Finland since the 18th century as retrieved from databases, archives and diaries for biometeorological research.

Authors:  Jari Holopainen; Samuli Helama; Hanna Lappalainen; Hilppa Gregow
Journal:  Int J Biometeorol       Date:  2012-06-29       Impact factor: 3.787

2.  The Book of Vinesprouts of Kőszeg (Hungary): a documentary source for reconstructing spring temperatures back to the eighteenth century.

Authors:  Gianni Fila; Diego Tomasi; Federica Gaiotti; Gregory V Jones
Journal:  Int J Biometeorol       Date:  2015-06-16       Impact factor: 3.787

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.