Literature DB >> 21479619

A comparison of methods to estimate seasonal phenological development from BBCH scale recording.

Christine Cornelius1, Hannes Petermeier, Nicole Estrella, Annette Menzel.   

Abstract

The BBCH scale is a two-digit key of growth stages in plants that is based on standardised definitions of plant development stages. The extended BBCH scale, used in this paper, enables the coding of the entire development cycle of all mono- and dicotyledonous plants. Using this key, the frequency distribution of phenological stages was recorded which required a less intense sampling frequency. The onset dates of single events were later estimated from the frequency distribution of BBCH codes. The purpose of this study was to present four different methods from which those onset dates can be estimated. Furthermore, the effects of (1) a less detailed observation key and (2) changes in the sampling frequency on estimates of onset dates were assessed. For all analyses, phenological data from the entire development cycle of four grass species were used. Estimates of onset dates determined by Weighted Plant Development (WPD), Pooled pre-/post-Stage Development (PSD), Cumulative Stage Development (CSD) and Ordinal Logistic Regression (OLR) methods can all be used to determine the phenological progression of plants. Moreover, results show that a less detailed observation key still resulted in similar onset dates, unless more than two consecutive stages were omitted. Further results reveal that the simulation of a less intense sampling frequency had only small impacts on estimates of onset dates. Thus, especially in remote areas where an observation interval of a week is not feasible, estimates derived from the frequency distribution of BBCH codes appear to be appropriate.

Entities:  

Mesh:

Year:  2011        PMID: 21479619     DOI: 10.1007/s00484-011-0421-x

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


  8 in total

Review 1.  Ecological responses to recent climate change.

Authors:  Gian-Reto Walther; Eric Post; Peter Convey; Annette Menzel; Camille Parmesan; Trevor J C Beebee; Jean-Marc Fromentin; Ove Hoegh-Guldberg; Franz Bairlein
Journal:  Nature       Date:  2002-03-28       Impact factor: 49.962

2.  Phytophenological trends in Switzerland.

Authors:  C Defila; B Clot
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

3.  Rapid changes in flowering time in British plants.

Authors:  A H Fitter; R S R Fitter
Journal:  Science       Date:  2002-05-31       Impact factor: 47.728

4.  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

5.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

6.  Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe.

Authors:  J Emberlin; M Detandt; R Gehrig; S Jaeger; N Nolard; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2002-07-26       Impact factor: 3.787

7.  Diverse responses of phenology to global changes in a grassland ecosystem.

Authors:  Elsa E Cleland; Nona R Chiariello; Scott R Loarie; Harold A Mooney; Christopher B Field
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-05       Impact factor: 11.205

Review 8.  Impacts of climate change on aeroallergens: past and future.

Authors:  P J Beggs
Journal:  Clin Exp Allergy       Date:  2004-10       Impact factor: 5.018

  8 in total
  6 in total

1.  Estimating the onset of spring from a complex phenology database: trade-offs across geographic scales.

Authors:  Katharine L Gerst; Jherime L Kellermann; Carolyn A F Enquist; Alyssa H Rosemartin; Ellen G Denny
Journal:  Int J Biometeorol       Date:  2015-08-11       Impact factor: 3.787

2.  Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol.

Authors:  Gianluca Filippa; Edoardo Cremonese; Marta Galvagno; Mirco Migliavacca; Umberto Morra di Cella; Martina Petey; Consolata Siniscalco
Journal:  Int J Biometeorol       Date:  2015-05-03       Impact factor: 3.787

3.  Models for forecasting the flowering of Cornicabra olive groves.

Authors:  Jesús Rojo; Rosa Pérez-Badia
Journal:  Int J Biometeorol       Date:  2015-02-06       Impact factor: 3.787

4.  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

5.  Phenological response of grassland species to manipulative snowmelt and drought along an altitudinal gradient.

Authors:  Christine Cornelius; Annette Leingärtner; Bernhard Hoiss; Jochen Krauss; Ingolf Steffan-Dewenter; Annette Menzel
Journal:  J Exp Bot       Date:  2012-11-19       Impact factor: 6.992

6.  Description and Codification of Miscanthus × giganteus Growth Stages for Phenological Assessment.

Authors:  Mauricio D Tejera; Emily A Heaton
Journal:  Front Plant Sci       Date:  2017-10-09       Impact factor: 5.753

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.