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Cited by 258

The DOI matches its Crossref record; 246 of the 246 references it cites were found in a registry or an index.

Trait‐based ecology of terrestrial arthropods

Open access
Wong, Mark K. L., Guénard, Benoit, Lewis, Owen T.·2019·Biological Reviews

Abstract

In focusing on how organisms' generalizable functional properties (traits) interact mechanistically with environments across spatial scales and levels of biological organization, trait‐based approaches provide a powerful framework for attaining synthesis, generality and prediction. Trait‐based research has considerably improved understanding of the assembly, structure and functioning of plant communities. Further advances in ecology may be achieved by exploring the trait–environment relationships of non‐sessile, heterotrophic organisms such as terrestrial arthropods, which are geographically ubiquitous, ecologically diverse, and often important functional components of ecosystems. Trait‐based studies and trait databases have recently been compiled for groups such as ants, bees, beetles, butterflies, spiders and many others; however, the explicit justification, conceptual framework, and primary‐evidence base for the burgeoning field of ‘terrestrial arthropod trait‐based ecology’ have not been well established. Consequently, there is some confusion over the scope and relevance of this field, as well as a tendency for studies to overlook important assumptions of the trait‐based approach. Here we aim to provide a broad and accessible overview of the trait‐based ecology of terrestrial arthropods. We first define and illustrate foundational concepts in trait‐based ecology with respect to terrestrial arthropods, and justify the application of trait‐based approaches to the study of their ecology. Next, we review studies in community ecology where trait‐based approaches have been used to elucidate how assembly processes for terrestrial arthropod communities are influenced by niche filtering along environmental gradients (e.g. climatic, structural, and land‐use gradients) and by abiotic and biotic disturbances (e.g. fire, floods, and biological invasions). We also review studies in ecosystem ecology where trait‐based approaches have been used to investigate biodiversity–ecosystem function relationships: how the functional diversity of arthropod communities relates to a host of ecosystem functions and services that they mediate, such as decomposition, pollination and predation. We then suggest how future work can address fundamental assumptions and limitations by investigating trait functionality and the effects of intraspecific variation, assessing the potential for sampling methods to bias the traits and trait values observed, and enhancing the quality and consolidation of trait information in databases. A roadmap to guide observational trait‐based studies is also presented. Lastly, we highlight new areas where trait‐based studies on terrestrial arthropods are well positioned to advance ecological understanding and application. These include examining the roles of competitive, non‐competitive and (multi‐)trophic interactions in shaping coexistence, and macro‐scaling trait–environment relationships to explain and predict patterns in biodiversity and ecosystem functions across space and time. We hope this review will spur and guide future applications of the trait‐based framework to advance ecological insights from the most diverse eukaryotic organisms on Earth.

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Research works printed but not linked: 23

  1. 10.1111/1365-2435.13194 · doi:10.1111/1365-2435.13194
  2. 10.1111/j.1365-2311.2011.01265.x · doi:10.1111/j.1365-2311.2011.01265.x
  3. 10.1016/j.apsoil.2014.03.021 · doi:10.1016/j.apsoil.2014.03.021
  4. 10.1002/ecy.1915 · doi:10.1002/ecy.1915
  5. 10.1078/0031-4056-00063 · doi:10.1078/0031-4056-00063
  6. 10.1007/s10530-017-1555-5 · doi:10.1007/s10530-017-1555-5
  7. 10.1007/BF00333307 · doi:10.1007/bf00333307
  8. Hedde M., 2012, BETSI, A Complete Framework for Studying Soil Invertebrate Functional Traits
  9. 10.4159/harvard.9780674183773 · doi:10.4159/harvard.9780674183773
  10. 10.1111/j.1365-3032.1990.tb00489.x · doi:10.1111/j.1365-3032.1990.tb00489.x
  11. 10.1111/btp.12184 · doi:10.1111/btp.12184
  12. 10.1007/s10646-014-1409-1 · doi:10.1007/s10646-014-1409-1
  13. 10.1016/j.apsoil.2014.11.014 · doi:10.1016/j.apsoil.2014.11.014
  14. 10.1073/pnas.0930903100 · doi:10.1073/pnas.0930903100
  15. 10.1007/s00114-017-1440-1 · doi:10.1007/s00114-017-1440-1
  16. 10.2307/2388302 · doi:10.2307/2388302
  17. 10.1086/physzool.22.4.30152061 · doi:10.1086/physzool.22.4.30152061
  18. 10.1002/jmor.20828 · doi:10.1002/jmor.20828
  19. 10.1111/een.12027 · doi:10.1111/een.12027
  20. 10.1002/ecy.1641 · doi:10.1002/ecy.1641
  21. 10.1146/annurev-ento-120710-100610 · doi:10.1146/annurev-ento-120710-100610
  22. 10.1371/journal.pone.0105432 · doi:10.1371/journal.pone.0105432
  23. 10.1098/rspb.1998.0387 · doi:10.1098/rspb.1998.0387

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Metadata

Authors
Wong, M. K. L., Guénard, B., & Lewis, O. T.
Venue
Biological Reviews
Publisher
Wiley
Published
2018-12-13
Volume
94
Issue
3
Pages
999-1022
ISSN
  • 0006-3231 (ISSN-L)
  • 1464-7931
  • 1469-185X
OpenAlex
W2905001749
Cited by
258
References
246
FWCI
1.79
Type
journal article
Language
en
Open access
hybrid
Funders
Natural Environment Research Council (NE/N010221/1)

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Wong, M. K. L., Guénard, B., & Lewis, O. T. (2019). Trait‐based ecology of terrestrial arthropods. Biological Reviews. https://doi.org/10.1111/brv.12488

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