Literature DB >> 12698325

Physiology-based phenology models for forest tree species in Germany.

Jörg Schaber1, Franz-W Badeck.   

Abstract

Models of phenology are needed for the projection of effects of a changing climate on, for example, forest production, species competition, vegetation-atmosphere feedback and public health. A new phenology model for deciduous tree bud burst is developed and parameters are determined for a wide geographical range (Germany) and several forest tree species. The new model is based on considerations of simple interactions between inhibitory and promotory agents that are assumed to control the developmental status of a plant. Several alternative model structures were formulated emphasizing different hypothetical physiological processes. The new models fitted the observations better than classical models. The bias of the classical models, i.e. overestimation of early observations and underestimation of late observations, could be reduced but not completely removed. Differences in the best-fitting model equations for each species indicated that, for the late spring phases (bud burst of Fagus sylvatica and Quercus robur), the photoperiod played a more dominant role than for early spring phases (bud burst of Betula pendula and Aesculus hippocastanum). Chilling only plays a subordinate role for spring bud burst compared to temperatures preceding this event in our data. The presented modeling approach allowed for a species-specific weighting of the dominant processes. The model results are in accordance with experimental findings that indicate an important role of day length in late spring BB. Potentials for model improvement are discussed.

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Mesh:

Year:  2003        PMID: 12698325     DOI: 10.1007/s00484-003-0171-5

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


  7 in total

1.  The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview.

Authors:  K Kramer; I Leinonen; D Loustau
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

2.  Predicting spring phenology and frost damage risk of Betula spp. under climatic warming: a comparison of two models.

Authors:  Tapio Linkosalo; Timothy R. Carter; Risto Häkkinen; Pertti Hari
Journal:  Tree Physiol       Date:  2000-11       Impact factor: 4.196

3.  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

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.  Dormancy of trees in winter.

Authors:  T O Perry
Journal:  Science       Date:  1971-01-08       Impact factor: 47.728

6.  Daylength and thermal time responses of budburst during dormancy release in some northern deciduous trees.

Authors:  O M Heide
Journal:  Physiol Plant       Date:  1993-08       Impact factor: 4.500

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

  7 in total
  22 in total

1.  A mechanistic modeling system for estimating large scale emissions and transport of pollen and co-allergens.

Authors:  Christos Efstathiou; Sastry Isukapalli; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2011-04-01       Impact factor: 4.798

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.  Urban spring phenology in the middle temperate zone of China: dynamics and influence factors.

Authors:  Shouzhen Liang; Ping Shi; Hongzhong Li
Journal:  Int J Biometeorol       Date:  2015-08-15       Impact factor: 3.787

4.  Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: a synthesis of FLUXNET data.

Authors:  Dennis D Baldocchi; T A Black; P S Curtis; E Falge; J D Fuentes; A Granier; L Gu; A Knohl; K Pilegaard; H P Schmid; R Valentini; K Wilson; S Wofsy; L Xu; S Yamamoto
Journal:  Int J Biometeorol       Date:  2005-02-02       Impact factor: 3.787

5.  Towards numerical forecasting of long-range air transport of birch pollen: theoretical considerations and a feasibility study.

Authors:  M Sofiev; P Siljamo; H Ranta; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2006-04-05       Impact factor: 3.787

6.  Responses of canopy duration to temperature changes in four temperate tree species: relative contributions of spring and autumn leaf phenology.

Authors:  Yann Vitasse; Annabel Josée Porté; Antoine Kremer; Richard Michalet; Sylvain Delzon
Journal:  Oecologia       Date:  2009-05-16       Impact factor: 3.225

7.  European larch phenology in the Alps: can we grasp the role of ecological factors by combining field observations and inverse modelling?

Authors:  M Migliavacca; E Cremonese; R Colombo; L Busetto; M Galvagno; L Ganis; M Meroni; E Pari; M Rossini; C Siniscalco; U Morra di Cella
Journal:  Int J Biometeorol       Date:  2008-04-24       Impact factor: 3.787

8.  Genetic and environmental influences on leaf phenology and cold hardiness of native and introduced riparian trees.

Authors:  Jonathan M Friedman; James E Roelle; Brian S Cade
Journal:  Int J Biometeorol       Date:  2011-09-17       Impact factor: 3.787

9.  Aerobiology in the International Journal of Biometeorology, 1957-2017.

Authors:  Paul J Beggs; Branko Šikoparija; Matt Smith
Journal:  Int J Biometeorol       Date:  2017-06-12       Impact factor: 3.787

10.  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

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