Delivering on a promise: integrating species traits to transform descriptive community ecology into a predictive science

• Published in: Freshwater science Vol. 32; no. 2; pp. 531 - 547
• Main Authors: Verberk, W. C. E. P., van Noordwijk, C. G. E., Hildrew, A. G.
• Format: Journal Article
• Language: English
• Published: North American Benthological Society 01.06.2013; The University of Chicago Press
• Subjects: Biological taxonomies; biomonitoring; causal mechanism; community ecology; Ecological genetics; Ecological life histories; Ecology; Eggs; Evolution; filter; functional group; functional trait; genotype-environment interaction; life history; life-history strategy; macroinvertebrates; natural selection; Perspectives; Phenotypic traits; phylogeny; Population ecology; prediction; researchers; Species; species sorting; Synecology; trade-off; trait syndrome; filter; functional trait; biomonitoring; causal mechanism; natural selection; macroinvertebrates; trade-off; life-history strategy; phylogeny; functional group; species sorting; trait syndrome
• ISSN: 2161-9549; 2161-9565; 2161-9565
• DOI: 10.1899/12-092.1

The use of species traits in basic and applied ecology is expanding rapidly because trait-based approaches hold the promise to increase our mechanistic understanding of biological responses. Such understanding could transform descriptive field studies in community ecology into predictive studies. Currently, however, trait-based approaches often fail to reflect species–environment relationships adequately. The difficulties have been perceived mainly as methodological, but we suggest that the problem is more profound and touches on the fundamentals of ecology and evolution. Selection pressures do not act independently on single traits, but rather, on species whose success in a particular environment is controlled by many interacting traits. Therefore, the adaptive value of a particular trait may differ across species, depending on the other traits possessed by the species and the constraints of its body plan. Because of this context-dependence, trait-based approaches should take into account the way combinations of traits interact and are constrained within a species. We present a new framework in which trade-offs and other interactions between biological traits are taken as a starting point from which to develop a better mechanistic understanding of species occurrences. The framework consists of 4 levels: traits, trait interactions, trait combinations, and life-history strategies, in a hierarchy in which each level provides the building blocks for the next. Researchers can contribute knowledge and insights at each level, and their contributions can be verified or falsified using logic, theory, and empirical data. Such an integrated and transparent framework can help fulfill the promise of traits to transform community ecology into a predictive science.