Evidence map›Paper›PMID 33683560›Full record

ArticleNeotropical entomology2021

Seasonal Patterns of Host Plant Use in an Assemblage of Heliconiini Butterflies (Lepidoptera: Nymphalidae) in a Neotropical forest.

Renato Rogner Ramos, Ronaldo Bastos Francini, Mohamed Ezz El-Din Mostafa Habib, André Victor Lucci Freitas

Abstract read
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In one paragraph

Article in Neotropical entomology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Renato Rogner RamosDepto de Biologia Animal, Instituto de Biologia, Univ Estadual de Campinas, Campinas, São Paulo, Brazil. rognerramos@gmail.com.ORCID http://orcid.org/0000-0002-9799-6275
Ronaldo Bastos FranciniCurso de Ciências Biológicas, Lab de Biologia da Conservação, Univ Católica de Santos, Santos, Brazil.
Mohamed Ezz El-Din Mostafa HabibDepto de Biologia Animal, Instituto de Biologia, Univ Estadual de Campinas, Campinas, São Paulo, Brazil.
André Victor Lucci FreitasDepto de Biologia Animal, Instituto de Biologia, Univ Estadual de Campinas, Campinas, São Paulo, Brazil. baku@unicamp.br.ORCID https://orcid.org/0000-0002-5763-4990
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade Católica de Santos · BR

Funding

CNPq process 302585/2011-7 and 421248/2017-3FAPESP grant 2012/50260-6
6 · The paper itself

Abstract

Insect-plant interactions involve physiological adaptations by insects to secondary metabolic compounds synthetized by host plants, which are considered essential for the determination of resources partitioning of these insects. Data on such phenomena are important to understand evolutionary and ecological processes. However, climatic factors also seem to play a key role in affecting these patterns. The present study aimed to investigate the influence of seasonal variation on patterns of host plant use (Passifloraceae) by Heliconiini butterflies (Nymphalidae: Heliconiinae) at a Neotropical site in Southeastern Brazil. A total of 12 species of Heliconiini were reported, with nine of them being resident and using five species of Passiflora (Passifloraceae) as larval host plants. Three host plant species accounted for 97% of the total use, and the use varied along the seasons highlighting the plasticity boundaries in Heliconiini and possible limiting factors.

Indexed as

ButterfliesFeeding BehaviorSeasonsAnimalsBrazilForestsLarvaPlantsCompetitionHeliconiusPassifloraresource partitioningseasonality

Identifiers

PMID33683560
OpenAlexW3133759857

What OpenQuestion holds

Textmetadata
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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.