4.7 Review

Going across taxa in functional ecology: Review and perspectives of an emerging field

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Summary: Functional traits can quantify an organism's ecology and predict ecosystem functions based on local communities. However, many functional traits seem to be characterized by availability and implied importance rather than ecological information content. It is necessary to identify functions of interest first and then identify traits as quantifiable proxies.

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Ian R. McFadden et al.

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Joseph A. Tobias et al.

Summary: Functional traits provide a quantitative framework for theories in evolutionary biology, ecology, and ecosystem science. The AVONET dataset contains comprehensive functional trait data for all bird species, allowing integration with other datasets and providing a global template for testing hypotheses and exploring the origins, structure, and functioning of biodiversity.

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Trait-based approaches to global change ecology: moving from description to prediction

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Summary: Trait-based approaches are valuable for predicting global change, but most studies are descriptive and few focus on ecological effects. There are significant opportunities to expand trait-based thinking across systems and taxa.

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Unifying climate change biology across realms and taxa

Malin L. Pinsky et al.

Summary: One of the major challenges in modern biology is to understand the extinction risk from climate change across different realms. Land-dwelling species cope with this risk through physiological tolerance, behavioral thermoregulation, and small elevation shifts, while ocean-dwelling species rely more on large-scale latitudinal shifts. Freshwater species may face the highest global extinction risks. However, some species in each realm share similar risks due to their shared adaptive, dispersal, or physiological tolerances and abilities. Taking a cross-realm perspective offers unique research opportunities to understand the emergent patterns of risk across all forms of life.

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The role of evolutionary modes for trait-based cascades in mutualistic networks

Vinicius Augusto Galvao Bastazini et al.

Summary: The erosion of functional diversity may lead to the collapse of ecological systems, with the mode of trait evolution playing a crucial role in the robustness of mutualistic networks. Networks are more vulnerable to extinctions based on trait distinctiveness and more robust to random extinction dynamics.

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James P. W. Robinson et al.

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Functional trait-based approaches as a common framework for aquatic ecologists

Severine Martini et al.

Summary: Aquatic ecologists are urged to use functional trait-based approaches and follow specific development paths outlined in this framework, including unifying definitions, utilizing databases, and synthesizing traditional and innovative methods, to address scientific challenges and foster opportunities for future research.

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Life-history traits, geographical range, and conservation aspects of reef fishes from the Atlantic and Eastern Pacific

Juan Pablo Quimbayo et al.

Summary: Reef fish represent one of the most diverse vertebrate groups on Earth, with the Atlantic and Eastern Pacific realms hosting unique and relatively less species-rich fish assemblages. The new database contains life-history traits, biogeographical and conservation aspects of 2,198 reef fish species in these realms, offering opportunities for ecological and evolutionary research and species conservation efforts.

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Erosion of global functional diversity across the tree of life

Carlos P. Carmona et al.

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Within-species patterns challenge our understanding of the leaf economics spectrum

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Divergent response to forest structure of two mobile vertebrate groups

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Metabolic theory predicts whole-ecosystem properties

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Plant functional traits and the multidimensional nature of species coexistence

Nathan J. B. Kraft et al.

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Choosing and using multiple traits in functional diversity research

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GLOBAL ECOLOGY AND BIOGEOGRAPHY (2014)

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Functional over-redundancy and high functional vulnerability in global fish faunas on tropical reefs

David Mouillot et al.

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Rebuilding community ecology from functional traits

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