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Summary: Changes to flowering phenology are a key response of plants to climate change. However, we know little about how these changes alter temporal patterns of reproductive overlap (i.e. phenological reassembly).We combined long‐term field (1937–2012) and herbarium records (1850–2017) of 68 species in a flowering plant community in central North America and used a novel application of Bayesian quantile regression to estimate changes to flowering season length, altered richness and composition of co‐flowering assemblages, and whether phenological shifts exhibit seasonal trends.Across the past century, phenological shifts increased species' flowering durations by 11.5 d on average, which resulted in 94% of species experiencing greater flowering overlap at the community level. Increases to co‐flowering were particularly pronounced in autumn, driven by a greater tendency of late season species to shift the ending of flowering later and to increase flowering duration.Our results demonstrate that species‐level phenological shifts can result in considerable phenological reassembly and highlight changes to flowering duration as a prominent, yet underappreciated, effect of climate change. The emergence of an autumn co‐flowering mode emphasizes that these effects may be season‐dependent. [ABSTRACT FROM AUTHOR]

Animals have evolved in complex, heterogeneous environments. Thus, decision-making behavior is likely affected by a diversity of co-occurring community-level traits. Here, we investigate how 3 co-occurring traits of floral communities—the number of flower types, reliability that flowers are associated with a reward, and signal complexity of flowers—affect bumble bee (Bombus impatiens) decision-making. We used arrays of artificial flowers in a full factorial experimental design to assess floral selectivity (preference and constancy), foraging efficiency, and decision latency in foraging bumble bees. We find that our environmental traits uniquely affect each of these behavioral variables, revealing the intricate, yet biologically significant ways that co-occurring environmental traits can affect behavior. Floral selectivity, but not foraging efficiency, is increased by a greater number of choices. Decision latency is greatest when bees are inexperienced foraging in environments with high choice number. Collectively taken, we argue that these results suggest a cost to deciding among many choices, which promotes choice fidelity when many options are present. We suggest that these results have implications for theory on decision-making and selection in biological markets, while demonstrating the importance of studying interactions between naturally co-occurring traits. [ABSTRACT FROM AUTHOR]