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Raphaël Proulx

Researcher at Université du Québec à Trois-Rivières

Publications -  64
Citations -  4284

Raphaël Proulx is an academic researcher from Université du Québec à Trois-Rivières. The author has contributed to research in topics: Species richness & Biodiversity. The author has an hindex of 22, co-authored 59 publications receiving 3615 citations. Previous affiliations of Raphaël Proulx include McGill University & Université de Montréal.

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TRY - a global database of plant traits

Jens Kattge, +136 more
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
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Biodiversity effects on ecosystem functioning in a 15-year grassland experiment: Patterns, mechanisms, and open questions

TL;DR: The results from the Jena Experiment provide further evidence that diversity begets stability, for example stability against invasion of plant species, but unexpectedly some results also suggested the opposite, e.g. when plant communities experience severe perturbations or elevated resource availability.
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Habitat filtering and niche differentiation jointly explain species relative abundance within grassland communities along fertility and disturbance gradients.

TL;DR: The results suggest that HF and ND jointly determined species abundance by acting on contrasting niche dimensions, and the importance of considering independent dimensions of functional niche to better understand species abundance and coexistence within communities.
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A novel comparative research platform designed to determine the functional significance of tree species diversity in European forests

Lander Baeten, +76 more
TL;DR: The new European research platform permits the most comprehensive assessment of tree species diversity effects on forest ecosystem functioning to date since it offers a common set of research plots to groups of researchers from very different disciplines and uses the same methodological approach in contrasting forest types along an extensive environmental gradient.
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Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision

TL;DR: In this article, a multi-step computer vision algorithm segments and quantifies the percent of tree cover in street-scapes images to a high degree of precision, and then models the relationship between neighbouring images along city street segments.