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Phenological turnover matters when making trait-based predictions of plant-pollinator interactions

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DataONE2025-07-07 更新2025-08-02 收录
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Understanding the processes determining species’ interactions is key to predicting and safeguarding ecological networks under rapid environmental change. One approach to estimating interactions is to use morphologies of taxa interacting across trophic levels to reveal suites of traits they are more likely to interact with (i.e. a morphological trait niche). Previous work studying these morphological trait niches has typically used interactions between species that are pooled in space and time. However, species assemblages, and the traits of individuals within species, can change across even small landscapes over a season, leading to morphological trait space being dynamically reshaped. Therefore, it is unclear how morphological trait turnover affects our inferences of trait niches, and our ability to answer this is in part limited by a lack of individual-level trait data. Here, we directly address this by studying a montane Arctic plant-pollinator community over five growing s..., , # Phenological turnover matters when making trait-based predictions of plant-pollinator interactions Dataset DOI: [10.5061/dryad.t76hdr8cg](10.5061/dryad.t76hdr8cg) ## Description of the data and file structure The data are composed of three files: - Working_spreadsheet_ITV_1819212223_v2.xlsx – These data were collected from observations of plant-bumblebee interactions on Mt. Nuolja in Sweden in 2018, 2019, 2021, 2022, and 2023. Each bee that was caught was photographed in the field, and from these photos, trait measurements were made. These measurements are also present in the dataset, in both raw and scaled forms, and then when summarized into PCA axes. - Different_phenology_ranges_using_phenology_data.csv – These were collected by the Nuolja phenology project, in which phenophases of the plant community are recorded along a 3.4 km transect. The data in this file represent the onset and end of flowering (in day of year) each year. - Different_elevation_ranges_using_phenology_dat...,
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2025-07-08
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