Evidence map›Paper›PMID 36761651›Full record

ArticleBiodiversity data journal2022

Updating the list of flower-visiting bees, hoverflies and wasps in the central atolls of Maldives, with notes on land-use effects.

Paolo Biella, Axel Ssymank, Andrea Galimberti, Paolo Galli, Michal Perlík, Fausto Ramazzotti, Alessia Rota, Nicola Tommasi

Abstract read
In one paragraph

Article in Biodiversity data journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paolo BiellaZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milano, Italy ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano Italy.ORCID https://orcid.org/0000-0003-2297-006X
Axel SsymankBundesamt für Naturschutz, Bonn, Germany Bundesamt für Naturschutz Bonn Germany.ORCID https://orcid.org/0000-0002-8285-5429
Andrea GalimbertiZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milano, Italy ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano Italy.
Paolo GalliEarth and Environmental Science Department, University of Milano-Bicocca, Milano, Italy Earth and Environmental Science Department, University of Milano-Bicocca Milano Italy.
Michal PerlíkFaculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic Faculty of Science, University of South Bohemia Ceske Budejovice Czech Republic.ORCID https://orcid.org/0000-0002-6804-5868
Fausto RamazzottiZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milano, Italy ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano Italy.
Alessia RotaZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milano, Italy ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano Italy.
Nicola TommasiZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milano, Italy ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maldives islands host a unique biodiversity, but their integrity is threatened by climate change and impacting land-uses (e.g. cemented or agricultural areas). As pollinators provide key services for the ecosystems and for the inhabitants, it is crucial to know which pollinators occur in the islands, to characterise their genetic identity and to understand which plants they visit and the size of the human impact. Given that no significant faunistic surveys of Hymenoptera have been published for the country in more than 100 years and that Syrphidae were only partly investigated, we sampled islands in the central part of the Maldives country (Faafu and Daahlu atolls) and hand-netted flower-visiting bees, wasps and hoverflies (Hymenoptera: Anthophila, Crabronidae, Sphecidae, Vespidae, Scoliidae and Diptera: Syrphidae). Overall, we found 21 species; 76.4% of the collected specimens were Anthophila (bees), 12.7% belonged to several families of wasps and 10.8% of individuals were Syrphidae. It seems that one third of species are new for the Maldives, based on the published literature. Human land-uses seem to shape the local pollinator fauna since the assemblages of bees, wasps and hoverflies from urbanised and agricultural islands differed from those in resort and natural ones. These pollinators visited 30 plant species in total, although some invasive plants hosted the highest number of flower visitor species. Biogeographically, this pollinating fauna is mostly shared with Sri Lanka and India. Genetically, the used marker hinted for a unique fauna in relation to the rest of the distribution ranges in most cases, although generally within the level of intraspecific genetic variation. This study significantly contributes to increasing the knowledge on the pollinator diversity and genetic identity in Maldives islands also considering the important implications for the islands' land-use and the role of invasive plants. This study will be pivotal for future pollination studies and biodiversity conservation efforts in the region.

Indexed as

animals of tropical islandsAnthophilaanthropogenetic habitat disturbanceApoideadistribution in the oriental regionDNA barcodingecosystem service of pollinationflower visitorland use effect on pollinatorsoceanic island biodiversitySyrphidaeVespoidea

Identifiers

PMID36761651
PMCPMC9848504

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.