2023
DOI: 10.1111/1365-2435.14246
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Animal functional traits: Towards a trait‐based ecology for whole ecosystems

Abstract: 1. Functional traits and associated trait-based concepts have driven rapid innovation in ecology over recent years, with most progress based on insights from plants. However, plants are almost entirely restricted to a single trophic level, and an over-reliance on plant traits therefore neglects the complexity and importance of biotic interactions across trophic levels. 2. The need to expand the focus of trait-based ecology to account for trophic complexity has led to an upsurge in attention on animal functiona… Show more

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Cited by 29 publications
(23 citation statements)
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“…Overall, the ABM brings comparative methods one step closer to integrating individual variation into macro-evolutionary models. This is timely because phenotypic and phylogenetic datasets are growing in size and completeness, making it increasingly easy to obtain information about individual variation in traits for entire clades (see Tobias (2022); Schleuning et al (2023)). The unprecedented accessibility of individual-level data across large numbers of species gives us the opportunity to incorporate individual variation at the macro-evolutionary scale.…”
Section: Discussionmentioning
confidence: 99%
“…Overall, the ABM brings comparative methods one step closer to integrating individual variation into macro-evolutionary models. This is timely because phenotypic and phylogenetic datasets are growing in size and completeness, making it increasingly easy to obtain information about individual variation in traits for entire clades (see Tobias (2022); Schleuning et al (2023)). The unprecedented accessibility of individual-level data across large numbers of species gives us the opportunity to incorporate individual variation at the macro-evolutionary scale.…”
Section: Discussionmentioning
confidence: 99%
“…Syntheses have highlighted the challenges and opportunities associated with avian trait‐based research (Tobias 2022, Schleuning et al . 2023), whereas others have explored the frontiers of collections‐based ornithological research more broadly (Webster 2018).…”
Section: Opportunities and Constraintsmentioning
confidence: 99%
“…Despite the fact that these functional trait types were defined in the late 1990s and early 2000s (Díaz & Cabido, 2001 ; Lavorel & Garnier, 2002 ; Naeem et al, 1994 ; Tilman, 1999 ), the use of functional traits to examine species response to or impact on the environment in studies of plants and animals can be traced back to early ecologists such as Elton, Humboldt, Hutchinson, Grime, Raunkiaer, and Root (Garnier et al, 2016 ; Malaterre et al, 2019 ). Even though trait‐based studies with plants and animals have been conducted for over a century, this research program has advanced significantly more for plants than animals (but see recent advances in Schleuning et al, 2023 ). For example, the first global protocol for standardizing plant traits measurements was published in the early 2000s (Cornelissen et al, 2003 ), but the first global protocols for standardizing traits for animals were published very recently, for example, Pey et al ( 2014 ) for soil invertebrates, Schmera et al ( 2015 ) for macroinvertebrates, Moretti et al ( 2017 ) for terrestrial invertebrates, and Tobias et al ( 2022 ) for birds.…”
Section: Introductionmentioning
confidence: 99%
“…However, there is theoretical and empirical support demonstrating that intraspecific trait variability plays an important role in community assembly and ecosystem processes (Albert et al, 2011 ; Araújo et al, 2011 ; Bolnick et al, 2011 ; Siefert et al, 2015 ; Violle et al, 2012 ). Fourth, the asymmetrical research efforts result in a bias in the distribution of animal trait data availability and trait‐based studies across taxonomic groups, regions, and ecosystems (Etard et al, 2020 ; Hevia et al, 2017 ; Schleuning et al, 2023 ). Fifth, there are standardized protocols for organizing and validating trait collation which compromise comparative analyses and data sharing (Hortal et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
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