Literature DB >> 11082304

A unified model for budburst of trees.

I Chuine1.   

Abstract

Accurate plant phenology (seasonal plant activity driven by environmental factors) models are vital tools for ecosystem simulation models and for predicting the response of ecosystems to climate change. Since the early 1970s, efforts have concentrated on predicting phenology of the temperate and boreal forests because they represent one-third of the carbon captured in plant ecosystems and they are the principal ecosystems with seasonal patterns of growth on Earth (one-fifth of the plant ecosystems area). Numerous phenological models have been developed to predict the growth timing of temperate or boreal trees. They are in general empirical, nonlinear and non-nested. For these reasons they are particularly difficult to fit, to test and to compare with each other. The methodological difficulties as well as the diversity of models used have greatly slowed down their improvement. The aim of this study was to show that the most widely used models simulating vegetative or reproductive phenology of trees are particular cases of a more general model. This unified model has three main advantages. First, it allows for a direct estimation of (i) the response of bud growth to either chilling or forcing temperatures and (ii) the periods when these temperatures affect the bud growth. Second, it can be simplified according to standard statistical tests for any particular species. Third, it provides a standardized framework for phenological models, which is essential for comparative studies as well as for robust model identification. Copyright 2000 Academic Press.

Entities:  

Mesh:

Year:  2000        PMID: 11082304     DOI: 10.1006/jtbi.2000.2178

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  66 in total

1.  Forecasting phenology under global warming.

Authors:  Inés Ibáñez; Richard B Primack; Abraham J Miller-Rushing; Elizabeth Ellwood; Hiroyoshi Higuchi; Sang Don Lee; Hiromi Kobori; John A Silander
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

Review 2.  Why does phenology drive species distribution?

Authors:  Isabelle Chuine
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

3.  A global analysis of the comparability of winter chill models for fruit and nut trees.

Authors:  Eike Luedeling; Patrick H Brown
Journal:  Int J Biometeorol       Date:  2010-08-22       Impact factor: 3.787

4.  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

5.  Environmental controls on the phenology of moths: predicting plasticity and constraint under climate change.

Authors:  Anu Valtonen; Matthew P Ayres; Heikki Roininen; Juha Pöyry; Reima Leinonen
Journal:  Oecologia       Date:  2010-09-30       Impact factor: 3.225

6.  Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts.

Authors:  Yingying Xie; Xiaojing Wang; John A Silander
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

7.  An observation-based progression modeling approach to spring and autumn deciduous tree phenology.

Authors:  Rong Yu; Mark D Schwartz; Alison Donnelly; Liang Liang
Journal:  Int J Biometeorol       Date:  2015-07-29       Impact factor: 3.787

8.  Phenological models for blooming of apple in a mountainous region.

Authors:  Roberto Rea; Emanuele Eccel
Journal:  Int J Biometeorol       Date:  2006-08-15       Impact factor: 3.787

9.  Performance of several models for predicting budburst date of grapevine (Vitis vinifera L.).

Authors:  Iñaki García de Cortázar-Atauri; Nadine Brisson; Jean Pierre Gaudillere
Journal:  Int J Biometeorol       Date:  2009-03-12       Impact factor: 3.787

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.