Evidence map›Paper›PMID 32348354›Full record

ArticlePloS one2020

Abundance, density, and social structure of African forest elephants (Loxodonta cyclotis) in a human-modified landscape in southwestern Gabon.

Colin M Brand, Mireille B Johnson, Lillian D Parker, Jesús E Maldonado, Lisa Korte, Hadrien Vanthomme, Alfonso Alonso, Maria Jose Ruiz-Lopez, Caitlin P Wells, Nelson Ting

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Knowledge transmission, culture and the consequences of social disruption in wild elephants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Pooled it
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

10 authors.

Colin M BrandDepartment of Anthropology, University of Oregon, Eugene, OR, United States of America.ORCID 0000-0002-6881-8074
Mireille B JohnsonGabon Biodiversity Program, Smithsonian Conservation Biology Institute, Gamba, Gabon.
Lillian D ParkerDepartment of Biosciences, School of Systems Biology, George Mason University, Fairfax, VA, United States of America.ORCID 0000-0003-3370-9473
Jesús E MaldonadoDepartment of Biosciences, School of Systems Biology, George Mason University, Fairfax, VA, United States of America.ORCID 0000-0002-4282-1072
Lisa KorteGabon Biodiversity Program, Smithsonian Conservation Biology Institute, Gamba, Gabon.
Hadrien VanthommeCenter for Conservation and Sustainability, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, United States of America.
Alfonso AlonsoCenter for Conservation and Sustainability, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, United States of America.
Maria Jose Ruiz-LopezEstacion Biológica de Doñana, Seville, Spain.
Caitlin P WellsDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, United States of America.ORCID 0000-0002-8840-3095
Nelson TingDepartment of Anthropology, University of Oregon, Eugene, OR, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population monitoring is critical to effective conservation, but forest living taxa can be difficult to directly observe. This has been true of African forest elephants (Loxodonta cyclotis), for which we have limited information regarding population size and social behavior despite their threatened conservation status. In this study, we estimated demographic parameters using genetic capture-recapture of forest elephants in the southern Industrial Corridor of the Gamba Complex of Protected Areas in southwestern Gabon, which is considered a global stronghold for forest elephants. Additionally, we examined social networks, predicting that we would find matrilineal structure seen in both savanna and forest elephants. Given 95% confidence intervals, we estimate population size in the sampled area to be between 754 and 1,502 individuals and our best density estimate ranges from 0.47 to 0.80 elephants per km2. When extrapolated across the entire Industrial Corridor, this estimate suggests an elephant population size of 3,033 to 6,043 based on abundance or 1,684 to 2,832 based on density, approximately 40-80% smaller than previously suggested. Our social network analysis revealed approximately half of network components included females with different mitochondrial haplotypes suggesting a wider range of variation in forest elephant sociality than previously thought. This study emphasizes the threatened status of forest elephants and demonstrates the need to further refine baseline estimates of population size and knowledge on social behavior in this taxon, both of which will aid in determining how population dynamics in this keystone species may be changing through time in relation to increasing conservation threats.

Indexed as

Conservation of Natural ResourcesEndangered SpeciesForestsSocial BehaviorAnimalsDNA, EnvironmentalDNA, MitochondrialEcological Parameter MonitoringElephantsFecesFemaleGabonHaplotypesMalePopulation DynamicsSex FactorsDNA, EnvironmentalDNA, Mitochondrial

Identifiers

PMID32348354
PMCPMC7190099

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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.