Plant-pollinator interactions in a tropical dry forest: spatiotemporal shifts in floral trait importance

Abstract

1. The pollination syndrome hypothesis has been a topic of considerable debate since its inception. While many studies have examined its degrees of specialization and its ability to predict plant-pollinator interactions based on floral traits, key ecological drivers remain understudied. In particular, the role of phenological patterns (e.g., seasonality) and habitat type in shaping these syndromes has received little attention. Understanding how these factors influence the dynamics of plant-pollinator interactions is critical for advancing our knowledge of ecological networks, especially in tropical systems where environmental heterogeneity is high.<br /> <br /> 2. To address this gap, we collected data on floral traits and detailed documented plant-pollinator interactions across multiple seasons and habitat types in a tropical dry forest on a Caribbean island. Using machine learning algorithms, we evaluated how the relative importance of floral traits shifts among primary pollinator groups and examined the extent to which seasonality and habitat type influence trait inclusion and importance. By leveraging machine learning, we were able to identify complex, nonlinear relationships and subtle patterns that traditional methods might overlook. This approach allowed us to disentangle the interplay between floral traits, environmental factors, and pollinator behaviour across different ecological contexts.<br /> <br /> 3. Our results demonstrate that floral trait importance is both context-dependent and dynamic, varying across seasons, habitat types, and pollinator groups. We found that preferences for floral traits among primary pollinator groups are largely consistent with traditional pollination syndromes; however, the floral trait most important to a pollinator group often shifts depending on habitat and season. Additionally, traits that ranked highly 3 in one habitat or season were often less important in others, suggesting that plant-pollinator interactions are influenced by a combination of temporal and spatial factors. These findings challenge the static view of pollination syndromes and reveal their inherent flexibility.<br /> <br /> 4. <em>Synthesis</em>: This study highlights the dynamic nature of pollination syndromes, showing that floral trait importance shifts across time and space. Future research should incorporate temporal and spatial variability when examining plant-pollinator interactions to avoid oversimplifying these complex systems. Recognizing the flexibility of trait associations is essential for understanding plant-pollination networks and their resilience in a changing world.