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Eric Garnier

Researcher at Centre national de la recherche scientifique

Publications -  140
Citations -  44078

Eric Garnier is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Specific leaf area & Ecosystem. The author has an hindex of 64, co-authored 135 publications receiving 37110 citations. Previous affiliations of Eric Garnier include SupAgro & École pratique des hautes études.

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The worldwide leaf economics spectrum

TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
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A handbook of protocols for standardised and easy measurement of plant functional traits worldwide

TL;DR: This paper provides an international methodological protocol aimed at standardising this research effort, based on consensus among a broad group of scientists in this field, and features a practical handbook with step-by-step recipes, for 28 functional traits recognised as critical for tackling large-scale ecological questions.
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Let the concept of trait be functional

TL;DR: An unambiguous definition of plant trait is given, with a particular emphasis on functional trait, and it is argued that this can be achieved by developing "integration functions" which can be grouped into functional response (community level) and effect (ecosystem level) algorithms.
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Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail

TL;DR: A framework using concepts and results from community ecology, ecosystem ecology and evolutionary biology to provide a linkage between traits associated with the response of plants to environmental factors and traits that determine effects of plants on ecosystem functions is presented.
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New handbook for standardised measurement of plant functional traits worldwide

TL;DR: This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties.