TY - UNPB
T1 - Trait-dependent diversification in angiosperms: patterns, models and data
AU - Helmstetter, Andrew J.
AU - Zenil-Ferguson, Rosana
AU - Sauquet, Hervé
AU - Otto, Sarah P.
AU - Méndez, Marcos
AU - Vallejo-Marin, Mario
AU - Schönenberger, Jürg
AU - Burgarella, Concetta
AU - Anderson, Bruce
AU - de Boer, Hugo
AU - Glémin, Sylvain
AU - Käfer, Jos
PY - 2022
Y1 - 2022
N2 - Variation in species richness across the tree of life, accompanied by the incredible variety of ecological and morphological characteristics found in nature, has inspired many studies to link traits with species diversification. Angiosperms are a highly diverse group that has fundamentally shaped life on earth since the Cretaceous, and illustrate how species diversification affects ecosystem functioning. Numerous traits and processes have been linked to differences in species richness within this group, but we know little about how these interact and their relative importance. Here, we synthesized data from 152 studies that used state-dependent speciation and extinction (SSE) models on angiosperm clades. Intrinsic traits related to reproduction and morphology were often linked to diversification but a set of universal drivers did not emerge as traits did not have consistent effects across clades. Importantly, dataset properties were correlated to SSE model results - trees that were larger, older, or less well-sampled tended to yield trait-dependent outcomes. We compared these properties to recommendations for SSE model use and provide a set of best practices to follow when designing studies and reporting results. Finally, we argue that SSE model inferences should be considered in a larger context incorporating species’ ecology, demography and genetics.Competing Interest StatementThe authors have declared no competing interest.
AB - Variation in species richness across the tree of life, accompanied by the incredible variety of ecological and morphological characteristics found in nature, has inspired many studies to link traits with species diversification. Angiosperms are a highly diverse group that has fundamentally shaped life on earth since the Cretaceous, and illustrate how species diversification affects ecosystem functioning. Numerous traits and processes have been linked to differences in species richness within this group, but we know little about how these interact and their relative importance. Here, we synthesized data from 152 studies that used state-dependent speciation and extinction (SSE) models on angiosperm clades. Intrinsic traits related to reproduction and morphology were often linked to diversification but a set of universal drivers did not emerge as traits did not have consistent effects across clades. Importantly, dataset properties were correlated to SSE model results - trees that were larger, older, or less well-sampled tended to yield trait-dependent outcomes. We compared these properties to recommendations for SSE model use and provide a set of best practices to follow when designing studies and reporting results. Finally, we argue that SSE model inferences should be considered in a larger context incorporating species’ ecology, demography and genetics.Competing Interest StatementThe authors have declared no competing interest.
U2 - 10.1101/2022.05.18.490882
DO - 10.1101/2022.05.18.490882
M3 - Preprint
BT - Trait-dependent diversification in angiosperms: patterns, models and data
PB - bioRxiv
ER -