Evidence map›Paper›PMID 42291700›Full record

ArticleAnnals of forest science2026

Aboveground biomass in seven tropical forest patches of Western-Africa: comparison of manual inventory and terrestrial laser scanning.

Samuel Hepner, Georges Alex Agonvonon, Daniel Kükenbrink, Chima Iheaturu, Fortuné Azihou, Brice Sinsin, Chinwe Ifejika Speranza

Abstract read
In one paragraph

Article in Annals of forest science, 2026. 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

7 authors.

Samuel HepnerLand Systems and Sustainable Land Management, Institute of Geography, University of Bern, Bern, Switzerland.
Georges Alex AgonvononLand Systems and Sustainable Land Management, Institute of Geography, University of Bern, Bern, Switzerland.
Daniel KükenbrinkRemote Sensing, Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.
Chima IheaturuLand Systems and Sustainable Land Management, Institute of Geography, University of Bern, Bern, Switzerland.
Fortuné AzihouLaboratory of Applied Ecology, Faculty of Agricultural Sciences, Université d'Abomey-Calavi, Cotonou, Benin.
Brice SinsinLaboratory of Applied Ecology, Faculty of Agricultural Sciences, Université d'Abomey-Calavi, Cotonou, Benin.
Chinwe Ifejika SperanzaLand Systems and Sustainable Land Management, Institute of Geography, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key message: Aboveground biomass (AGB) increased from forest edge to forest interior in small forest patches of Western-Africa. In plots of 0.25 ha, AGB did not correlate with tree species richness or wood density. AGB in these unprotected forest patches was lower than in the nearby protected forests. AGB obtained from manual inventory and terrestrial laser scanning correlated moderately. Context: In Western-Africa, small, unprotected forest patches amidst agricultural lands provide vital ecosystem services like carbon storage. However, accurately measuring aboveground biomass remains challenging, and terrestrial laser scanning (TLS) might become an accurate, non-destructive method. Aims: This study explored AGB, its spatial distribution, and relationships with ecological determinants, and compared AGB estimated from manual inventory with that from TLS. Methods: We established 109 plots and inventoried 9591 trees across seven forests in Togo, Benin, Nigeria, and Cameroon. AGB was obtained from allometric equations using diameter and tree heights, as well as from segmented point-clouds. Plot-level AGB was extrapolated to the entire forest. Results: AGB in forest patches ranged from 85 to 259 Mg/ha, which is lower than in nearby protected forests. Forests close to the equator have generally higher AGB, and most forests showed reduced AGB and wood density close to forest edges. AGB showed no correlation with wood density, structural complexity, and tree species richness. AGB estimations by manual inventory and TLS correlated moderately. Conclusion: Our findings highlight the value of ground-based methods and the need to connect and protect forests as carbon reservoirs.

Indexed as

Allometric equationAutomatic point-cloud segmentationEdge effectsForest fragmentationTree species richnessWood density

Identifiers

PMID42291700
PMCPMC13260244

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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.