Evidence map›Paper›PMID 38866909›Full record

ArticleScientific reports2024

Forest type modulates mammalian responses to megafires.

Marcelo Magioli, Luanne Helena Augusto Lima, Priscilla Marqui Schmidt Villela, Ricardo Sampaio, Lilian Bonjorne, Renan Lieto Alves Ribeiro, Daniel Luis Zanella Kantek, Selma Samiko Miyazaki, Thiago B F Semedo, Gustavo S Libardi and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Marcelo MagioliInstituto Pró-Carnívoros, Atibaia, São Paulo, Brazil. marcelo.magioli@gmail.com.
Luanne Helena Augusto LimaCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
Priscilla Marqui Schmidt VillelaEcoMol Consultoria, Piracicaba, São Paulo, Brazil.
Ricardo SampaioCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
Lilian BonjorneCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
Renan Lieto Alves RibeiroCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
Daniel Luis Zanella KantekEstação Ecológica de Taiamã, Instituto Chico Mendes de Conservação da Biodiversidade, Cáceres, Mato Grosso, Brazil.
Selma Samiko MiyazakiEstação Ecológica de Taiamã, Instituto Chico Mendes de Conservação da Biodiversidade, Cáceres, Mato Grosso, Brazil.
Thiago B F SemedoInBIO Laboratório Associado, CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal.
Gustavo S LibardiFacultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina.
Bruno H SaranholiDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, Brazil.
Charlotte E ErikssonDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, 97331, USA.
Ronaldo Gonçalves MoratoCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.
Christian Niel BerlinckCentro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros, Instituto Chico Mendes de Conservação da Biodiversidade, Atibaia, São Paulo, Brazil.

Funding

Chico Mendes Institute for the Conservation of Biodiversity Evaluation of the fire impact on Pantanal biodiversityEuropean Union's Horizon 2020 Research and Innovation Programme under the Grant Agreement 857251Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/01741-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/06791-9MCTI - Pantanal Research Network 01.20.0201.00Portuguese Foundation for Science and Technology fellowship 202210212BD
6 · The paper itself

Abstract

Although considered an evolutionary force responsible for shaping ecosystems and biodiversity, fires' natural cycle is being altered by human activities, increasing the odds of destructive megafire events. Here, we show that forest type modulates the responses of terrestrial mammals, from species to assemblage level, to a catastrophic megafire in the Brazilian Pantanal. We unraveled that mammalian richness was higher 1 year after fire passage compared to a pre-fire condition, which can be attributed to habitat modification caused by wildfires, attracting herbivores and open-area tolerant species. We observed changes in assemblage composition between burned/unburned sites, but no difference in mammalian richness or relative abundance. However, by partitioning the effects of burned area proportion per forest type (monospecific vs. polyspecific), we detected differential responses of mammals at several levels of organization, with pronounced declines in species richness and relative abundance in monospecific forests. Eighty-six percent of the species presented moderate to strong negative effects on their relative abundance, with an overall strong negative effect for the entire assemblage. Wildfires are predicted to be more frequent with climate and land use change, and if events analogous to Pantanal-2020 become recurrent, they might trigger regional beta diversity change, benefitting open-area tolerant species.

Indexed as

BiodiversityForestsMammalsWildfiresAnimalsBrazilEcosystemFiresBrazilCamera trapEnvironmental DNAOccupancy modelsPantanalRelative abundanceWildfire

Identifiers

PMID38866909
PMCPMC11169498

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.