Literature DB >> 14564495

The timing of bud burst and its effect on tree growth.

T Rötzer1, R Grote, H Pretzsch.   

Abstract

A phenology model for estimating the timings of bud burst--one of the most influential phenological phases for the simulation of tree growth--is presented in this study. The model calculates the timings of the leafing of beech (Fagus sylvatica L.) and oak (Quercus robur L.) and the May shoot of Norway spruce (Picea abies L.) and Scots pine (Pinus sylvestris L.) on the basis of the daily maximum temperature. The data for parameterisation and validation of the model have been taken from 40 climate and 120 phenological stations in southern Germany with time series for temperature and bud burst of up to 30 years. The validation of the phenology module by means of an independent data set showed correlation coefficients for comparisons between observed and simulated values of 54% (beech), 55% (oak), 59% (spruce) and 56% (pine) with mean absolute errors varying from 4.4 days (spruce) to 5.0 days (pine). These results correspond well with the results of other--often more complex--phenology models. After the phenology module had been implemented in the tree-growth model BALANCE, the growth of a mixed forest stand with the former static and the new dynamic timings for the bud burst was simulated. The results of the two simulation runs showed that phenology has to be taken into account when simulating forest growth, particularly in mixed stands.

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Year:  2003        PMID: 14564495     DOI: 10.1007/s00484-003-0191-1

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


  10 in total

1.  Temperature data for phenological models.

Authors:  R L Snyder; D Spano; P Duce; C Cesaraccio
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

2.  Forecasting of the flowering time for wild species observed at Guidonia, central Italy.

Authors:  C A Cenci; M Ceschia
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

3.  An examination of the relationship between flowering times and temperature at the national scale using long-term phenological records from the UK.

Authors:  T H Sparks; E P Jeffree; C E Jeffree
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

4.  Phenology in central Europe--differences and trends of spring phenophases in urban and rural areas.

Authors:  T Roetzer; M Wittenzeller; H Haeckel; J Nekovar
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

5.  Variation in timing and abundance of flowering by Delphinium barbeyi Huth (Ranunculaceae): the roles of snowpack, frost, and La Niña, in the context of climate change.

Authors:  David W Inouye; Manuel A Morales; Gary J Dodge
Journal:  Oecologia       Date:  2002-02-01       Impact factor: 3.225

6.  Extrapolating leaf CO2 exchange to the canopy: a generalized model of forest photosynthesis compared with measurements by eddy correlation.

Authors:  John D Aber; Peter B Reich; Michael L Goulden
Journal:  Oecologia       Date:  1996-04       Impact factor: 3.225

7.  The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest

Authors: 
Journal:  Int J Biometeorol       Date:  1999-02       Impact factor: 3.787

8.  The use of phenological data to calculate chilling units in Olea europaea L. in relation to the onset of reproduction.

Authors:  F Orlandi; M Fornaciari; B Romano
Journal:  Int J Biometeorol       Date:  2002-02       Impact factor: 3.787

9.  Phenological modifications in plants by various edaphic factors.

Authors:  F E Wielgolaski
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

10.  Effects of elevated atmospheric CO(2) on phenology, growth and crown structure of Scots pine (Pinus sylvestris) seedlings after two years of exposure in the field.

Authors:  M. Ewa Jach; Reinhart Ceulemans
Journal:  Tree Physiol       Date:  1999-04       Impact factor: 4.196

  10 in total
  15 in total

1.  Influence of spring and autumn phenological transitions on forest ecosystem productivity.

Authors:  Andrew D Richardson; T Andy Black; Philippe Ciais; Nicolas Delbart; Mark A Friedl; Nadine Gobron; David Y Hollinger; Werner L Kutsch; Bernard Longdoz; Sebastiaan Luyssaert; Mirco Migliavacca; Leonardo Montagnani; J William Munger; Eddy Moors; Shilong Piao; Corinna Rebmann; Markus Reichstein; Nobuko Saigusa; Enrico Tomelleri; Rodrigo Vargas; Andrej Varlagin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

2.  Simulating phenological shifts in French temperate forests under two climatic change scenarios and four driving global circulation models.

Authors:  François Lebourgeois; Jean-Claude Pierrat; Vincent Perez; Christian Piedallu; Sébastien Cecchini; Erwin Ulrich
Journal:  Int J Biometeorol       Date:  2010-03-19       Impact factor: 3.787

3.  Possible impacts of climate change on natural vegetation in Saxony (Germany).

Authors:  Frank M Chmielewski; Antje Müller; Wilfried Küchler
Journal:  Int J Biometeorol       Date:  2005-08-02       Impact factor: 3.787

Review 4.  Models for forest ecosystem management: a European perspective.

Authors:  H Pretzsch; R Grote; B Reineking; Th Rötzer; St Seifert
Journal:  Ann Bot       Date:  2007-10-21       Impact factor: 4.357

5.  Non-stationary influence of El Niño-Southern Oscillation and winter temperature on oak latewood growth in NW Iberian Peninsula.

Authors:  Vicente Rozas; Ignacio García-González
Journal:  Int J Biometeorol       Date:  2011-08-05       Impact factor: 3.787

6.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

7.  Forecasting plant phenology: evaluating the phenological models for Betula pendula and Padus racemosa spring phases, Latvia.

Authors:  Andis Kalvāns; Māra Bitāne; Gunta Kalvāne
Journal:  Int J Biometeorol       Date:  2014-05-01       Impact factor: 3.787

8.  Diversity of flowering and fruiting phenology of trees in a tropical deciduous forest in India.

Authors:  K P Singh; C P Kushwaha
Journal:  Ann Bot       Date:  2005-12-15       Impact factor: 4.357

9.  A glossary for biometeorology.

Authors:  Simon N Gosling; Erin K Bryce; P Grady Dixon; Katharina M A Gabriel; Elaine Y Gosling; Jonathan M Hanes; David M Hondula; Liang Liang; Priscilla Ayleen Bustos Mac Lean; Stefan Muthers; Sheila Tavares Nascimento; Martina Petralli; Jennifer K Vanos; Eva R Wanka
Journal:  Int J Biometeorol       Date:  2014-02-19       Impact factor: 3.787

10.  Simulating stand climate, phenology, and photosynthesis of a forest stand with a process-based growth model.

Authors:  Thomas Rötzer; Michael Leuchner; Angela J Nunn
Journal:  Int J Biometeorol       Date:  2010-01-19       Impact factor: 3.787

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