Evidence map›Paper›PMID 30418699›Full record

ArticleMolecular ecology2019

Flower-visitor communities of an arcto-alpine plant-Global patterns in species richness, phylogenetic diversity and ecological functioning.

Mikko Tiusanen, Tea Huotari, Paul D N Hebert, Tommi Andersson, Ashley Asmus, Joël Bêty, Emma Davis, Jennifer Gale, Bess Hardwick, David Hik and 15 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Frontiers in plant science · 2019
    Article
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

25 authors at 16 institutions in 9 countries.

Mikko TiusanenDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-9361-0777
Tea HuotariDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
Paul D N HebertCentre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada.
Tommi AnderssonKevo Subarctic Research Station, Biodiversity Unit, University of Turku, Turku, Finland.
Ashley AsmusDepartment of Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, Minnesota.
Joël BêtyDépartement de Biologie and Centre d'études Nordiques, Université du Québec à Rimouski, Rimouski, Quebec, Canada.
Emma DavisDepartment of Geography, University of Guelph, Guelph, Ontario, Canada.
Jennifer GaleEast Bay Southampton Island Shorebird Crew, National Wildlife Research Center, Environment Canada, Ottawa, Ontario, Canada.
Bess HardwickDepartment of Biosciences, University of Helsinki, Helsinki, Finland.
David HikDepartment of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Christian KörnerDepartment of Environmental Sciences, Institute of Botany, University of Basel, Basel, Germany.
Richard B LanctotU.S. Fish and Wildlife Service, Anchorage, Alaska.
Maarten J J E LoonenArctic Centre, University of Groningen, Groningen, The Netherlands.
Rauni PartanenKilpisjärvi Biological Station, University of Helsinki, Kilpisjärvi, Finland.
Karissa ReischkeConservation Ontario, Newmarket, Ontario, Canada.
Sarah T SaalfeldU.S. Fish and Wildlife Service, Anchorage, Alaska.
Fanny Senez-GagnonDépartement des Sciences du Bois et de la Forêt, Université Laval, Quebec City, Québec, Canada.
Paul A SmithWildlife Research Division, Environment and Climate Change Canada, Ottawa, Ontario, Canada.
Ján ŠulavíkDepartment of Environmental Sciences, Faculty of Engineering and Science, Western Norway University of Applied Sciences, Sogndal, Norway.
Ilkka SyvänperäKevo Subarctic Research Station, Biodiversity Unit, University of Turku, Turku, Finland.
Christine UrbanowiczDepartment of Biology, Dartmouth College, Hanover, New Hampshire.
Sian WilliamsKluane Lake Research Station, Yukon, Silver City, Yukon, Canada.
Paul WoodardCanadian Wildlife Service, Environment and Climate Change Canada/Government of Canada, Yellowknife, Northwest Territories, Canada.
Yulia ZaikaDepartment of Geography, Khibiny Academic Research Station, Lomonosov Moscow State University, Moscow, Russia.
Tomas RoslinDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
University of Helsinki · FIEnvironment and Climate Change Canada · CAUnited States Fish and Wildlife Service · USUniversity of Guelph · CAUniversity of Turku · FICanadian Rheumatology Association · CADartmouth College · USLomonosov Moscow State University · RUSimon Fraser University · CAUniversité du Québec à Rimouski · CAUniversité Laval · CAUniversity of Basel · CHUniversity of Groningen · NLUniversity of Minnesota · USWestern Norway University of Applied Sciences · NOYukon University · CA

Funding

Ella & Georg Ehrnrooth FoundationElla ja Georg Ehrnroothin SäätiöFP7 Ideas: European Research CouncilInternational Network for Terrestrial Research and Monitoring in the Arctic under the European Community's Seventh Framework ProgrammeSocietas entomologica helsingforsiensisSuomen Akatemia 276909
6 · The paper itself

Abstract

Pollination is an ecosystem function of global importance. Yet, who visits the flower of specific plants, how the composition of these visitors varies in space and time and how such variation translates into pollination services are hard to establish. The use of DNA barcodes allows us to address ecological patterns involving thousands of taxa that are difficult to identify. To clarify the regional variation in the visitor community of a widespread flower resource, we compared the composition of the arthropod community visiting species in the genus Dryas (mountain avens, family Rosaceae), throughout Arctic and high-alpine areas. At each of 15 sites, we sampled Dryas visitors with 100 sticky flower mimics and identified specimens to Barcode Index Numbers (BINs) using a partial sequence of the mitochondrial COI gene. As a measure of ecosystem functioning, we quantified variation in the seed set of Dryas. To test for an association between phylogenetic and functional diversity, we characterized the structure of local visitor communities with both taxonomic and phylogenetic descriptors. In total, we detected 1,360 different BINs, dominated by Diptera and Hymenoptera. The richness of visitors at each site appeared to be driven by local temperature and precipitation. Phylogeographic structure seemed reflective of geological history and mirrored trans-Arctic patterns detected in plants. Seed set success varied widely among sites, with little variation attributable to pollinator species richness. This pattern suggests idiosyncratic associations, with function dominated by few and potentially different taxa at each site. Taken together, our findings illustrate the role of post-glacial history in the assembly of flower-visitor communities in the Arctic and offer insights for understanding how diversity translates into ecosystem functioning.

Indexed as

EcosystemAnimalsArctic RegionsArthropodsDNA Barcoding, TaxonomicFlowersModels, BiologicalPhylogenyPollinationReproductionRosaceaeSeedsarctic ecologyDNA barcodingDryasecosystem functioningflower visitorpollination

Identifiers

PMID30418699
PMCPMC6378624
OpenAlexW2901751939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.