Literature DB >> 15869641

Phylloclimate or the climate perceived by individual plant organs: what is it? How to model it? What for?

Michaël Chelle1.   

Abstract

This review introduces the emergence of a new research topic, phylloclimate, located at the crossroads between ecophysiology and canopy microclimate research. Phylloclimate corresponds to the physical environment actually perceived by each individual aerial organ of a plant population, and is described by physical variables such as spectral irradiance, temperature, on-leaf water and features of around-organ air (wind speed, temperature, humidity, etc.). Knowing the actual climate in which plant organs grow may enable advances in the understanding of plant-environment interactions, as knowing surface temperature instead of air temperature enabled advances in the study of canopy development. Characterizing phylloclimate variables, using experimental work or modeling, raises many questions such as the choice of suitable space- and time-scale as well as the ability to individualize plant organs within a canopy. This is of particular importance when aiming to link phylloclimate and function-structure plant models. Finally, recent trends and challenging questions in phylloclimate research are discussed, as well as the possible applications of phylloclimate results.

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Year:  2005        PMID: 15869641     DOI: 10.1111/j.1469-8137.2005.01350.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  27 in total

1.  A comparative analysis of leaf shape of wheat, barley and maize using an empirical shape model.

Authors:  Tino Dornbusch; Jillian Watt; Rim Baccar; Christian Fournier; Bruno Andrieu
Journal:  Ann Bot       Date:  2010-10-07       Impact factor: 4.357

2.  Computing competition for light in the GREENLAB model of plant growth: a contribution to the study of the effects of density on resource acquisition and architectural development.

Authors:  Paul-Henry Cournède; Amélie Mathieu; François Houllier; Daniel Barthélémy; Philippe de Reffye
Journal:  Ann Bot       Date:  2007-11-23       Impact factor: 4.357

3.  Using a 3-D virtual sunflower to simulate light capture at organ, plant and plot levels: contribution of organ interception, impact of heliotropism and analysis of genotypic differences.

Authors:  Hervé Rey; Jean Dauzat; Karine Chenu; Jean-François Barczi; Guillermo A A Dosio; Jérémie Lecoeur
Journal:  Ann Bot       Date:  2008-01-24       Impact factor: 4.357

4.  AmapSim: a structural whole-plant simulator based on botanical knowledge and designed to host external functional models.

Authors:  Jean-François Barczi; Hervé Rey; Yves Caraglio; Philippe de Reffye; Daniel Barthélémy; Qiao Xue Dong; Thierry Fourcaud
Journal:  Ann Bot       Date:  2007-08-31       Impact factor: 4.357

5.  Using virtual plants to analyse the light-foraging efficiency of a low-density cotton crop.

Authors:  Jean Dauzat; Pascal Clouvel; Delphine Luquet; Pierre Martin
Journal:  Ann Bot       Date:  2008-01-08       Impact factor: 4.357

6.  Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach.

Authors:  Karine Chenu; Scott C Chapman; François Tardieu; Greg McLean; Claude Welcker; Graeme L Hammer
Journal:  Genetics       Date:  2009-09-28       Impact factor: 4.562

7.  Reconstruction and analysis of a deciduous sapling using digital photographs or terrestrial-LiDAR technology.

Authors:  Sylvain Delagrange; Pascal Rochon
Journal:  Ann Bot       Date:  2011-04-22       Impact factor: 4.357

8.  Exploring the spatial distribution of light interception and photosynthesis of canopies by means of a functional-structural plant model.

Authors:  V Sarlikioti; P H B de Visser; L F M Marcelis
Journal:  Ann Bot       Date:  2011-02-24       Impact factor: 4.357

9.  How good is the turbid medium-based approach for accounting for light partitioning in contrasted grass--legume intercropping systems?

Authors:  Romain Barillot; Gaëtan Louarn; Abraham J Escobar-Gutiérrez; Pierre Huynh; Didier Combes
Journal:  Ann Bot       Date:  2011-08-23       Impact factor: 4.357

10.  What determines the complex kinetics of stomatal conductance under blueless PAR in Festuca arundinacea? Subsequent effects on leaf transpiration.

Authors:  Romain Barillot; Ela Frak; Didier Combes; Jean-Louis Durand; Abraham J Escobar-Gutiérrez
Journal:  J Exp Bot       Date:  2010-05-05       Impact factor: 6.992

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