Quantifying hummingbird preference for floral trait combinations: The role of selection on trait interactions in the evolution of pollination syndromes

Fenster, Charles B.; Reynolds, Richard J.; Williams, Christopher W.; Makowsky, Robert; Dudash, Michele R.

doi:10.1111/evo.12639

Cited by 59 publications

(59 citation statements)

References 77 publications

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“…Given evidence for reproductive Allee effects, competition for pollinators, and predispersal seed predation across S. angularis populations (Spigler & Chang, , ), we interpret our data to indicate that the negative effects of flowering synchronously begin to outweigh the benefits where pollen receipt is sufficient. For these and all fitness surfaces presented here, however, we caution that interpretations may be complicated by the influence of correlational selection among traits (Schluter & Nychka, ), which has been examined more intensively in other work (Reynolds et al ., ; Fenster et al ., ).…”

Section: Discussionmentioning

confidence: 97%

Phenotypic selection varies with pollination intensity across populations ofSabatia angularis

2017

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Pollinators are considered primary selective agents acting on plant traits, and thus variation in the strength of the plant-pollinator interaction might drive variation in the opportunity for selection and selection intensity across plant populations. Here, we examine whether these critical evolutionary parameters covary with pollination intensity across wild populations of the biennial Sabatia angularis. We quantified pollination intensity in each of nine S. angularis populations as mean stigmatic pollen load per population. For female fitness and three components, fruit number, fruit set (proportion of flowers setting fruit) and number of seeds per fruit, we evaluated whether the opportunity for selection varied with pollination intensity. We used phenotypic selection analyses to test for interactions between pollination intensity and selection gradients for five floral traits, including flowering phenology. The opportunity for selection via fruit set and seeds per fruit declined significantly with increasing pollen receipt, as expected. We demonstrated significant directional selection on multiple traits across populations. We also found that selection intensity for all traits depended on pollination intensity. Consistent with general theory about the relationship between biotic interaction strength and the intensity of selection, our study suggests that variation in pollination intensity drives variation in selection across S. angularis populations.

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Section: Discussionmentioning

confidence: 97%

Phenotypic selection varies with pollination intensity across populations ofSabatia angularis

2017

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“…; Fenster et al . ). These insights would be not possible from simple species occurrence data or analysis of pairwise interactions.…”

Section: Introductionmentioning

confidence: 97%

A common framework for identifying linkage rules across different types of interactions

et al. 2016

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Summary1. Species interactions, ranging from antagonisms to mutualisms, form the architecture of biodiversity and determine ecosystem functioning. Understanding the rules responsible for who interacts with whom, as well as the functional consequences of these interspecific interactions, is central to predict community dynamics and stability. 2. Species traits sensu lato may affect different ecological processes by determining species interactions through a two-step process. First, ecological and life-history traits govern species distributions and abundance, and hence determine species co-occurrence and the potential for species to interact. Secondly, morphological or physiological traits between co-occurring potential interaction partners should match for the realization of an interaction. Here, we review recent advances on predicting interactions from species co-occurrence and develop a probabilistic model for inferring trait matching. 3. The models proposed here integrate both neutral and trait-matching constraints, while using only information about known interactions, thereby overcoming problems originating from undersampling of rare interactions (i.e. missing links). They can easily accommodate qualitative or quantitative data and can incorporate trait variation within species, such as values that vary along developmental stages or environmental gradients. 4. We use three case studies to show that the proposed models can detect strong trait matching (e.g. predator-prey system), relaxed trait matching (e.g. herbivore-plant system) and barrier trait matching (e.g. plant-pollinator systems). 5. Only by elucidating which species traits are important in each process (i.e. in determining interaction establishment and frequency), we can advance in explaining how species interact and the consequences of these interactions for ecosystem functioning.

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“…Empirical evidence has shown that pollinators can impose selection pressure upon individual floral traits (Harder & Johnson, ), pairs of correlated traits (Campbell, ; Delph et al ., ; Benitez‐Vieyra et al ., , ; Baranzelli et al ., ; Fenster et al ., ) and higher interaction levels among traits like phenotypic integration (Ordano et al ., ). In addition, recent correlative evidence suggests that pollinator‐mediated selection can increase the floral integration (González et al ., ).…”

Section: Introductionmentioning

confidence: 99%

Drift effects on the multivariate floral phenotype ofCalceolaria polyrhizaduring a post‐glacial expansion in Patagonia

Maubecin

Cosacov

Sérsic

et al. 2016

J of Evolutionary Biology

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Quaternary environmental changes substantially impacted the landscape and promoted rapid evolutionary changes in many species; however, analyses of adaptive phenotypic variation in plants have usually neglected the underlying historical context. Here, we associate phylogeography and phenotypic evolution by analysing the divergence of Calceolaria polyrhiza multivariate floral phenotype after a Pleistocene post-glacial expansion in Patagonia. Phenotypic matrix (P) properties (size, shape, orientation and phenotypic integration) of six refugium and six recent populations from two different phylogroups were compared following different approaches. We found that P-matrix shape and orientation remained stable despite the strong phylogeographic footprint of post-glacial expansion. However, average proportional reductions in matrix size supported the expectation that drift had a significant effect on the floral phenotype in the northern phylogroup. When phylogeographic history was not included in the analyses, the results overestimated phenotypic differences, whereas under explicit phylogeographic control, drift appeared as the best explanation for matrix differences. In general, recent populations showed a larger phenotypic divergence among them, but a lower overall phenotypic variation than refugium populations. Random Skewers analyses indicated a lower potential response to selection in recently colonized populations than in refugium populations. We discuss that the combination of phylogeographic analyses with geographical distribution of functional phenotypic (genotypic) variation is critical not only to understand how historical effects influence adaptive evolution, but also to improve field comparisons in evolutionary ecology studies.

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Quantifying hummingbird preference for floral trait combinations: The role of selection on trait interactions in the evolution of pollination syndromes

Cited by 59 publications

References 77 publications

Phenotypic selection varies with pollination intensity across populations ofSabatia angularis

Phenotypic selection varies with pollination intensity across populations ofSabatia angularis

A common framework for identifying linkage rules across different types of interactions

Drift effects on the multivariate floral phenotype ofCalceolaria polyrhizaduring a post‐glacial expansion in Patagonia

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