Evidence map›Paper›PMID 35064726›Full record

ArticleMolecular ecology2022

The structure of tropical bat-plant interaction networks during an extreme El Niño-Southern Oscillation event.

Hernani F M Oliveira, Rafael Barros Pereira Pinheiro, Isabela Galarda Varassin, Bernal Rodríguez-Herrera, Maria Kuzmina, Stephen J Rossiter, Elizabeth L Clare

Abstract read
In one paragraph

Article in Molecular ecology, 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.

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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

7 authors.

Hernani F M OliveiraSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0001-7040-8317
Rafael Barros Pereira PinheiroDepartamento de Biologia Animal, Universidade Estadual de Campinas, Campinas, Brazil.ORCID 0000-0003-2342-8483
Isabela Galarda VarassinDepartamento de Botânica, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0001-9189-8765
Bernal Rodríguez-HerreraEscuela de Biología, Centro de Investigaciones en Biodiversidad y Ecología Tropical, Universidad de Costa Rica, San Jose, Costa Rica.ORCID 0000-0001-8168-2442
Maria KuzminaCentre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, Guelph, Canada.ORCID 0000-0003-2725-9146
Stephen J RossiterSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0002-3881-4515
Elizabeth L ClareSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK.ORCID 0000-0002-6563-3365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interaction network structure reflects the ecological mechanisms acting within biological communities, which are affected by environmental conditions. In tropical forests, higher precipitation usually increases fruit production, which may lead frugivores to increase specialization, resulting in more modular and less nested animal-plant networks. In these ecosystems, El Niño is a major driver of precipitation, but we still lack knowledge of how species interactions change under this influence. To understand bat-plant network structure during an extreme El Niño-Southern Oscillation event, we determined the links between plantivorous bat species and the plants they consume by DNA barcoding seeds and pulp in bat faeces. These interactions were recorded in the dry forest and rainforest of Costa Rica, during the dry and the wet seasons of an extreme El Niño year. From these we constructed seasonal and whole-year bat-plant networks and analysed their structures and dissimilarities. In general, networks had low nestedness, had high modularity, and were dominated by one large compartment which included most species and interactions. Contrary to our expectations, networks were less nested and more modular in drier conditions, both in the comparison between forest types and between seasons. We suggest that increased competition, when resources are scarce during drier seasons and habitats, lead to higher resource partitioning among bats and thus higher modularity. Moreover, we have found similar network structures between dry and rainforests during El Niño and non-El Niño years. Finally, most interaction dissimilarity among networks occurred due to interaction rewiring among species, potentially driven by seasonal changes in resource availability.

Indexed as

ChiropteraEl Nino-Southern OscillationAnimalsEcosystemForestsSeasonsTropical Climatebat-plant interactionsclimatic changeDNA barcodinginteraction networksrainfall

Identifiers

PMID35064726
PMCPMC9305221

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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.