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Land-use intensification and resulting habitat loss are put forward as the main causes of flower visitor decline. However, the impact of urbanization, the prime driver of land-use intensification in Europe, is poorly studied. In particular, our understanding of whether and how it affects the composition and functioning of flower visitor assemblages is scant, yet required to cope with increasing urbanization worldwide. Here, we use a nation-wide dataset of plant-flower visitor (Coleoptera, Diptera, Hymenoptera, Lepidoptera) interactions sampled by citizen scientists following a standardized protocol to assess macroecological changes in richness and composition of flower visitor communities with urbanization. We measured the community composition by quantifying the relative occurrence of generalist and specialist flower visitors based on their specialisation on flowering plant families. We show that urbanization is associated with reduced flower visitor richness and a shift in community composition toward generalist insects, indicating a modification of the functional composition of communities. These results suggest that urbanization affects not only the richness of flower visitor assemblages but may also cause their large-scale functional homogenization. Future research should focus on designing measures to reconcile urban development with flower visitor conservation.
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http://dx.doi.org/10.1002/ece3.2009 | DOI Listing |
Biology (Basel)
August 2025
CREA Research Centre for Agriculture and Environment, 40128 Bologna, Italy.
Anthropogenic environments are increasingly recognised for their potential to support pollinator diversity, especially through the strategic selection of ornamental plant species. This study investigated the ecological role of (formerly ) in supporting solitary bees, particularly species of the genus , within urban green spaces in Milan (Italy). Field observations were conducted in both urban and rural sites to assess pollinator visitation rates, bee abundance, and plant traits relevant to nesting and foraging.
View Article and Find Full Text PDFPlants (Basel)
August 2025
Instituto Multidisciplinario de Biología Vegetal (IMBIV, CONICET-UNC), Universidad Nacional de Córdoba (UNC), Córdoba 5000, Córdoba, Argentina.
Kiwifruit () is a globally important crop presenting challenges for ensuring cross-pollination. This study aimed to (1) record the entomological fauna visiting flowers; (2) evaluate the visitation frequency of pollinators; and (3) test the use of lavender extract to enhance cross-pollination by honeybees and assess the impacts on fruit quality. Nine species of floral visitors were recorded as pollinators, although the most frequent were the exotic honeybee () and the native bees and .
View Article and Find Full Text PDFAnn Bot
August 2025
Department of Molecular and Cell Biology, University of Cape Town, 7701 Cape Town, South Africa.
Background And Aims: Evolutionary floral modifications that enable plants to exploit particular body parts of animals for pollen transfer are considered a key contributor to the angiosperm radiation. Species of Dilatris (Haemodoraceae) have an unusual combination of floral traits including a centrally-positioned stamen with a large anther flanked by two stamens with smaller anthers (heteranthery), and styles that are deflected either to the right or left on flowers of the same plant (monomorphic enantiostyly). We investigated the pollination functions of these traits in D.
View Article and Find Full Text PDFR Soc Open Sci
August 2025
Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
To attract pollinators, individuals of the threatened and food-deceptive orchid (L.) employ visual and olfactory signals, notably volatile organic compounds (VOCs). However, habitat fragmentation has disrupted its population into patches of still relatively large sizes, but also small sizes.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Species Interaction Ecology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
Pollinating insects provide essential ecosystem services, and using time-lapse photography to automate their observation could improve monitoring efficiency. Computer vision models, trained on clear citizen science photos, can detect insects in similar images with high accuracy, but their performance in images taken using time-lapse photography is unknown. We evaluated the generalisation of three lightweight YOLO detectors (YOLOv5-nano, YOLOv5-small, YOLOv7-tiny), previously trained on citizen science images, for detecting ~ 1,300 flower-visiting arthropod individuals in nearly 24,000 time-lapse images captured with a fixed smartphone setup.
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