Trait‐based species richness: ecology and macroevolution

Author:

Wiens John J.1ORCID

Affiliation:

1. Department of Ecology and Evolutionary Biology University of Arizona Tucson AZ 85721‐0088 USA

Abstract

ABSTRACTUnderstanding the origins of species richness patterns is a fundamental goal in ecology and evolutionary biology. Much research has focused on explaining two kinds of species richness patterns: (i) spatial species richness patterns (e.g. the latitudinal diversity gradient), and (ii) clade‐based species richness patterns (e.g. the predominance of angiosperm species among plants). Here, I highlight a third kind of richness pattern: trait‐based species richness (e.g. the number of species with each state of a character, such as diet or body size). Trait‐based richness patterns are relevant to many topics in ecology and evolution, from ecosystem function to adaptive radiation to the paradox of sex. Although many studies have described particular trait‐based richness patterns, the origins of these patterns remain far less understood, and trait‐based richness has not been emphasised as a general category of richness patterns. Here, I describe a conceptual framework for how trait‐based richness patterns arise compared to other richness patterns. A systematic review suggests that trait‐based richness patterns are most often explained by when each state originates within a group (i.e. older states generally have higher richness), and not by differences in transition rates among states or faster diversification of species with certain states. This latter result contrasts with the widespread emphasis on diversification rates in species‐richness research. I show that many recent studies of spatial richness patterns are actually studies of trait‐based richness patterns, potentially confounding the causes of these patterns. Finally, I describe a plethora of unanswered questions related to trait‐based richness patterns.

Publisher

Wiley

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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