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Functional Rarity: The Ecology of Outliers

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TLDR
This work introduces 12 different forms of functional rarity along gradients of species scarcity and trait distinctiveness and highlights the potential key role offunctional rarity in the long-term and large-scale maintenance of ecosystem processes.
Abstract
Rarity has been a central topic for conservation and evolutionary biologists aiming to determine the species characteristics that cause extinction risk. More recently, beyond the rarity of species, the rarity of functions or functional traits, called functional rarity, has gained momentum in helping to understand the impact of biodiversity decline on ecosystem functioning. However, a conceptual framework for defining and quantifying functional rarity is still lacking. We introduce 12 different forms of functional rarity along gradients of species scarcity and trait distinctiveness. We then highlight the potential key role of functional rarity in the long-term and large-scale maintenance of ecosystem processes, as well as the necessary linkage between functional and evolutionary rarity.

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Journal ArticleDOI

Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs

Grégoire T. Freschet, +40 more
- 01 Nov 2021 - 
TL;DR: It is found that below-ground traits with widest importance in plant and ecosystem functioning are not those most commonly measured, and advocate that establishing causal hierarchical links among root traits will provide a hypothesis-based framework to identify the most parsimonious sets of traits with strongest influence on the functions, and to link genotypes to plant andcosystem functioning.
Journal ArticleDOI

New approaches for delineating n-dimensional hypervolumes

TL;DR: In this article, the authors proposed a more robust approach for delineating the shape and density of n-dimensional hypervolumes, which provides more efficient performance on large and high-dimensional datasets and improved measures of functional diversity and environmental niche breadth.
Journal ArticleDOI

A starting guide to root ecology: strengthening ecological concepts and standardising root classification, sampling, processing and trait measurements

Grégoire T. Freschet, +42 more
- 01 Nov 2021 - 
TL;DR: A major aim of this guide is to help break down barriers between the many subdisciplines of root ecology and ecophysiology, broaden researchers’ views on the multiple aspects of root study and create favourable conditions for the inception of comprehensive experiments on the role of roots in plant and ecosystem functioning.
References
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Book

The Unified Neutral Theory of Biodiversity and Biogeography

TL;DR: A study of the issue indicates that it is not a serious problem for neutral theory, and there is sometimes a difference between some of the simulation-based results of Hubbell and the analytical results of Volkov et al. (2003).
Journal ArticleDOI

Rebuilding community ecology from functional traits.

TL;DR: It is asserted that community ecology should return to an emphasis on four themes that are tied together by a two-step process: how the fundamental niche is governed by functional traits within the context of abiotic environmental gradients; and how the interaction between traits and fundamental niches maps onto the realized niche in the context a biotic interaction milieu.
Journal ArticleDOI

Phylogenies and Community Ecology

TL;DR: A common pattern of phylogenetic conservatism in ecological character is recognized and the challenges of using phylogenies of partial lineages are highlighted and phylogenetic approaches to three emergent properties of communities: species diversity, relative abundance distributions, and range sizes are reviewed.
Journal ArticleDOI

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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