Trends in Ecology & Evolution · 2017

A Common Toolbox to Understand, Monitor or Manage Rarity? A Response to Carmona et al.

Violle C., Thuiller W., Mouquet N., Munoz F., Kraft N.J.B., Cadotte M.W., Livingstone S.W., Grenie M., Mouillot D.

doi.org/10.1016/j.tree.2017.10.001
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Key Message

Carmona et al. (2017) respond to our framework on functional rarity (Violle et al. 2017) by advocating for a more general, flexible, and fully quantitative approach, arguing that the use of predefined categories (such as the 12 forms of rarity) and scale-dependent metrics may limit comparability and complicate analyses.

They propose instead a continuous, probabilistic framework based on trait probability density (TPD), which allows rarity to be measured consistently across species, communities, and regions, and better integrates abundance and trait variability across scales. In our response, we acknowledge the value of this probabilistic perspective and agree on the need for a unified toolbox to study rarity across ecological contexts. However, we emphasize that our original framework already relies on continuous indices and that categorization is not opposed to quantification but rather complements it.

We argue that distinguishing forms of rarity remains essential, particularly for conservation purposes, where clear and operational categories can facilitate interpretation, communication, and decision-making. More broadly, we advocate for a pragmatic balance between methodological sophistication and usability, ensuring that advances in the quantification of functional rarity remain accessible and relevant for biodiversity monitoring and management.

Figure from Violle et al. 2017b
Cookbook for the Application of our Framework to Functional Rarity (Violle et al. 2017): When, How and Why Study Functional Rarity? Several fields of (theoretical and applied) biology need a unified framework to quantify rarity. The funrar R package implements the framework proposed in Violle et al.. Depending on the objectives of the research question, one can be interested in (i) assessing the originality of a single item (e.g., species or habitat), where a point is considered rare relative to others, or (ii) quantifying the overall functional rarity of a set of items (e.g., a community or grid cell) through the sum or other integration of individual rarity values. In the latter case, functional rarity and functional redundancy represent two sides of the same coin, and the framework of Carmona et al. can be readily applied.
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