UBC Research Data

Data from: When should we expect early bursts of trait evolution in comparative data? Predictions from an evolutionary food web model Ingram, Travis; Harmon, Luke J.; Shurin, Jonathan B.

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<b>Abstract</b><br/>Conceptual models of adaptive radiation predict that competitive interactions among species will result in an early burst of speciation and trait evolution followed by a slowdown in diversification rates. Empirical studies often show early accumulation of lineages in phylogenetic trees, but usually fail to detect early bursts of phenotypic evolution. We use an evolutionary simulation model to assemble food webs through adaptive radiation, and examine patterns in the resulting phylogenetic trees and species' traits (body size and trophic position). We find that when foraging trade-offs result in food webs where all species occupy integer trophic levels, lineage diversity and trait disparity are concentrated early in the tree, consistent with the early burst model. In contrast, in food webs in which many omnivorous species feeding at multiple trophic levels, high levels of turnover of species' identities and traits tends to eliminate the early burst signal. These results suggest testable predictions about how the niche structure of ecological communities may be reflected by macroevolutionary patterns.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">simulation_data</h4><div class="o-metadata__file-description">Parameter values and summary data for each of the 240 food webs simulated using the evolutionary assembly model and analyzed in the present paper and in Ingram et al. (2009).</div><div class="o-metadata__file-name"></div><div class="o-metadata__file-name"></div></div>

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This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver