JOURNAL ARTICLE

First Results About Pollination of Silene migjornensis, an Endemic Plant Species of the Southern Dunes of Mallorca.

  • Published In: Journal of Applied Entomology, 2025, v. 149, n. 6. P. 882 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Cortés‐Giménez, Fernando D.; Far, Antoni J.; Cerrato, Marcello D.; Pinya, Samuel; Cursach, Joana 3 of 3

Abstract

Silene migjornensis is a plant species restricted to a unique location in the south of Mallorca. Its floral syndrome suggests nocturnal pollination by lepidopterans, but pollinators of this species remain unknown. Several surveys were conducted along the flowering period, and potential pollinators were captured for pollen load analyses. Additionally, pollinator surveys were performed by counting the number and identity of floral visitors in groups of 100 flowers every 2 h at nighttime. A total of 210 specimens were analysed, and the efficacy and fidelity of floral visitors were obtained. Up to 16 taxa were identified as potential pollinators, including moths, spiders, harvestmen, beetles, cockroaches and true bugs, many of which are neglected pollinators. Beetles showed higher efficacy compared with harvestmen and cockroaches, while no statistical differences were found in fidelity among groups. However, the harvestman Phalangium clavipus was the most frequent floral visitor. Overall, the initial hypothesis that S. migjornensis has a pollination specialised towards lepidopterans is not confirmed. Finally, this study describes the first case of an endemic harvestman participating in the pollination of a plant species in Mallorca. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Applied Entomology. 2025/07, Vol. 149, Issue 6, p882
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2025
  • ISSN:0931-2048
  • DOI:10.1111/jen.13395
  • Accession Number:185862396
  • Copyright Statement:Copyright of Journal of Applied Entomology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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