Evidence map›Paper›PMID 30783576›Full record

ArticlePeerJ2019

Everything you always wanted to know about gene flow in tropical landscapes (but were afraid to ask).

Waléria Pereira Monteiro, Jamille Costa Veiga, Amanda Reis Silva, Carolina da Silva Carvalho, Éder Cristian Malta Lanes, Yessica Rico, Rodolfo Jaffé

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors.

Waléria Pereira MonteiroInstituto Tecnológico Vale, Belém, PA, Brazil.
Jamille Costa VeigaInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Pará, Brazil.
Amanda Reis SilvaDepartamento de Botânica, Museu Paraense Emílio Goeldi, Belém, Pará, Brazil.
Carolina da Silva CarvalhoInstituto Tecnológico Vale, Belém, PA, Brazil.
Éder Cristian Malta LanesInstituto Tecnológico Vale, Belém, PA, Brazil.
Yessica RicoCONACYT, Red de Diversidad Biológica del Occidente Mexicano, Instituto de Ecología, A.C., Michoacán, Mexico.
Rodolfo JafféInstituto Tecnológico Vale, Belém, PA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bulk of the world's biodiversity is found in tropical regions, which are increasingly threatened by the human-led degradation of natural habitats. Yet, little is known about tropical biodiversity responses to habitat loss and fragmentation. Here we review all available literature assessing landscape effects on gene flow in tropical species, aiming to help unravel the factors underpinning functional connectivity in the tropics. We map and classify studies by focus species, the molecular markers employed, statistical approaches to assess landscape effects on gene flow, and the evaluated landscape and environmental variables. We then compare qualitatively and quantitatively landscape effects on gene flow across species and units of analysis. We found 69 articles assessing landscape effects on gene flow in tropical organisms, most of which were published in the last five years, were concentrated in the Americas, and focused on amphibians or mammals. Most studies employed population-level approaches, microsatellites were the preferred type of markers, and Mantel and partial Mantel tests the most common statistical approaches used. While elevation, land cover and forest cover were the most common gene flow predictors assessed, habitat suitability was found to be a common predictor of gene flow. A third of all surveyed studies explicitly assessed the effect of habitat degradation, but only 14 of these detected a reduced gene flow with increasing habitat loss. Elevation was responsible for most significant microsatellite-based isolation by resistance effects and a single study reported significant isolation by non-forested areas in an ant. Our study reveals important knowledge gaps on the study of landscape effects on gene flow in tropical organisms, and provides useful guidelines on how to fill them.

Indexed as

Functional connectivityIsolation by resistanceLandscape geneticsMatrix permeabilityTropical biodiversity

Identifiers

PMID30783576
PMCPMC6377592

What OpenQuestion holds

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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.