Evidence map›Paper›PMID 27440662›Full record

ArticleProceedings. Biological sciences2016

Weather explains high annual variation in butterfly dispersal.

Mikko Kuussaari, Susu Rytteri, Risto K Heikkinen, Janne Heliölä, Peter von Bagh

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Experimentally enhancing dispersal reveals the outsized importance of transient dynamics in a fluctuating environment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Mikko KuussaariNatural Environment Centre, Finnish Environment Institute (SYKE), PO Box 140, 00251 Helsinki, Finland mikko.kuussaari@ymparisto.fi.ORCID 0000-0003-0264-9316
Susu RytteriMetapopulation Research Centre, Department of Biosciences, University of Helsinki, PO Box 65 (Viikinkaari 1), Helsinki 00014, Finland.
Risto K HeikkinenNatural Environment Centre, Finnish Environment Institute (SYKE), PO Box 140, 00251 Helsinki, Finland.
Janne HeliöläNatural Environment Centre, Finnish Environment Institute (SYKE), PO Box 140, 00251 Helsinki, Finland.
Peter von BaghLohentie 16, 06150, Porvoo, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weather conditions fundamentally affect the activity of short-lived insects. Annual variation in weather is therefore likely to be an important determinant of their between-year variation in dispersal, but conclusive empirical studies are lacking. We studied whether the annual variation of dispersal can be explained by the flight season's weather conditions in a Clouded Apollo (Parnassius mnemosyne) metapopulation. This metapopulation was monitored using the mark-release-recapture method for 12 years. Dispersal was quantified for each monitoring year using three complementary measures: emigration rate (fraction of individuals moving between habitat patches), average residence time in the natal patch, and average distance moved. There was much variation both in dispersal and average weather conditions among the years. Weather variables significantly affected the three measures of dispersal and together with adjusting variables explained 79-91% of the variation observed in dispersal. Different weather variables became selected in the models explaining variation in three dispersal measures apparently because of the notable intercorrelations. In general, dispersal rate increased with increasing temperature, solar radiation, proportion of especially warm days, and butterfly density, and decreased with increasing cloudiness, rainfall, and wind speed. These results help to understand and model annually varying dispersal dynamics of species affected by global warming.

Indexed as

Animal DistributionButterfliesWeatherAnimalsEcosystemPopulation DynamicsSeasonsTemperaturebutterflyclimate changedispersalmetapopulationpopulation dynamicsweather conditions

Identifiers

PMID27440662
PMCPMC4971196

What OpenQuestion holds

Textmetadata
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.