Following the appointment of the new Cabinet, the Forest Sector now reports to the ministère des Ressources naturelles et des Forêts, while the Wildlife and Parks Sectors report to the ministère de l'Environnement, de la Lutte aux changements climatiques, de la Faune et des Parcs. Adjustments will be made to the website over time.

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Summary

Paru dans BioScience 60(10) : 788-797. https://doi.org/10.1525/bio.2010.60.10.5

A critical variable in the estimation of gross primary production of terrestrial ecosystems is light-use efficiency (LUE), a value that represents the actual efficiency of a plant's use of absorbed radiation energy to produce biomass. Light-use efficiency is driven by the most limiting of a number of environmental stress factors that reduce plants' photosynthetic capacity; these include short-term stressors, such as photoinhibition, as well as longer-term stressors, such as soil water and temperature. Modeling LUE from remote sensing is governed largely by the biochemical composition of plant foliage, with the past decade seeing important theoretical and modeling advances for understanding the role of these stresses on LUE. In this article we provide a summary of the tower-, aircraft-, and satellite-based research undertaken to date, and discuss the broader scalability of these methods, concluding with recommendations for ongoing research possibilities.

Sector(s): 

Forests

Categorie(s): 

Scientific Article

Theme(s): 

Ecosystems and Environment, Forest Ecology, Forestry Research, Forests

Departmental author(s): 

Author(s)

COOPS, Nicholas C., Thomas HILKER, Forrest G. HALL, Caroline J. NICHOL and Guillaume G. DROLET

Year of publication :

2010

Format :

Paper

ISSN

1525-3244

Keywords :

efficacité d'utilisation de la lumière, productivité primaire brute, télédétection, biochimique, écologie écosystèmes et environnement, article scientifique de recherche forestière, satellite, écosystèmes et environnement, ecosystems and environment, light-use efficiency, gross primary production, remote sensing, biochemical

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