AI Insight
Researchers developed a mathematical model showing that floral plantings can either concentrate bees within the planting or export them to nearby crops depending on resource contrasts and bee characteristics. The model identifies specific thresholds in flowering intensity, nectar, and pollen that determine when bees will move from plantings to crops, with flowering intensity providing initial movement cues while nectar and pollen sustain responses. Bee traits like specialization and colony size, as well as community diversity, significantly influence spillover patterns, demonstrating that concentration and export are context-dependent outcomes of the same ecological process rather than competing alternatives.
Why it matters
This research could help farmers and land managers optimize floral plantings to maximize crop pollination by predicting when bees will move from conservation plantings to agricultural fields. The model provides testable thresholds that can guide practical decisions about where and when to establish pollinator habitat for agricultural benefit.
Understand the Science
⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Floral plantings can either concentrate bees or export them to adjacent crops, yet the ecological conditions influencing these outcomes remain unclear. Here, we develop a mathematical model as proof of concept for our previous integrative hypothesis: concentrator and exporter outcomes can arise as alternative, context-dependent outcomes of the same underlying resource-selection process. Using bees as a model and focusing specifically on spillover from floral plantings to crops, we identified resource-specific thresholds separating concentration- and export-favoring conditions. Our model translates differences in relative patch attractiveness into context-dependent concentration and export outcomes and generates resource-specific, testable predictions about the conditions favoring pollinator movement into crops. In our simulations, the concentrator-exporter transition occurred at a lower flowering-intensity contrast than at pollen or nectar contrasts, which suggests that flowering intensity may provide an initial cue for bee movement, whereas nectar and pollen rewards refine or sustain bee responses once crops are perceived as attractive. Spillover thresholds differed among resource contrasts, whereas response steepness varied across bee-trait and community scenarios. Under the model’s trait-sensitivity formulation, predicted spillover probability responded more strongly to flowering contrast for specialists than for generalists; colony size amplified this response, whereas bee richness dampened it. Together, these patterns show how flowering and resource contrasts interact with bee traits and community context to shape predicted spillover. Our results confirm that the concentrator and exporter hypotheses can be understood as context-dependent outcomes of the same ecological process rather than as mutually exclusive alternatives. Experimental tests of the predicted thresholds conducted in the field could reveal when and where floral plantings are most likely to promote bee spillover to crops, potentially supporting crop pollination.
Source: From concentration to export: resource contrasts and bee traits shape pollinator spillover to crops